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Flexibility in manufacturing system design: a review of recent approaches from operations research. (English) Zbl 07864414

Summary: Due to increasing demand uncertainty and product variety, manufacturing systems must continually adapt to maintain productivity. Generally, decision-makers can maintain flexibility to account for these adaptations efficiently already in the design phase of manufacturing systems. Consequently, over the past few decades, a significant body of literature has addressed manufacturing system design associated with various manufacturing paradigms, claiming to provide the ‘right’ level of flexibility. Advanced analytical methods from Operations Research are frequently used in this domain to support decision-making. However, articles on the manufacturing paradigms remain in disjunct literature streams. In this article, we review literature from the last two decades that focuses on the application of Operations Research methods in manufacturing system design. The analyzed articles were selected from peer-reviewed scientific literature in a systematic search and screening process. To unite literature on different manufacturing paradigms, the concept of manufacturing flexibility is adapted, focusing on flexibility types required and considered in manufacturing systems’ design phases. The reviewed articles frequently employ mixed-integer linear programming or propose heuristic procedures. Most contributions evaluate static and deterministic settings, overlooking short- or long-term uncertainties in the design of manufacturing systems. Predominantly, flexibility is maintained to enhance economic or performance-oriented objectives. The consideration of social or ecological indicators, however, is barely found. Therefore, research perspectives from this analysis include integrating social and ecological indicators into multi-objective decision-making methods, anticipating neighboring planning problems during design, and applying systematic procedures to address uncertainty.

MSC:

90Bxx Operations research and management science

Software:

RowLayout
Full Text: DOI

References:

[1] Aghajani, A.; Didehbani, SA; Zadahmad, M.; Seyedrezaei, MH; Mohsenian, O., A multi-objective mathematical model for cellular manufacturing systems design with probabilistic demand and machine reliability analysis, The International Journal of Advanced Manufacturing Technology, 75, 755-770 (2014)
[2] Ah kioon, S.; Bulgak, AA; Bektas, T., Cellular manufacturing systems design with routing flexibility, machine procurement, production planning and dynamic system reconfiguration, International Journal of Production Research, 47, 1573-1600 (2009) · Zbl 1158.90336
[3] Ah kioon, S.; Bulgak, AA; Bektas, T., Integrated cellular manufacturing systems design with production planning and dynamic system reconfiguration, European Journal of Operational Research, 192, 414-428 (2009) · Zbl 1157.90391
[4] Åhlström, P.; Westbrook, R., Implications of mass customization for operations management, International Journal of Operations & Production Management, 19, 262-275 (1999)
[5] Ahmadi, A.; Pishvaee, MS; Akbari Jokar, MR, A survey on multi-floor facility layout problems, Computers & Industrial Engineering, 107, 158-170 (2017)
[6] Ahmed, S.; Sahinidis, NV., Selection, acquisition, and allocation of manufacturing technology in a multi-period environment, European Journal of Operational Research, 189, 807-821 (2008) · Zbl 1146.90382
[7] Akturk, MS; Turkcan, A., Cellular manufacturing system design using a holonistic approach, International Journal of Production Research, 38, 2327-2347 (2000) · Zbl 1012.90507
[8] Albritton, MD; McMullen, PR., Optimal product design using a colony of virtual ants, European Journal of Operational Research, 176, 498-520 (2007) · Zbl 1137.90720
[9] Alcácer, V.; Cruz-Machado, V., Scanning the industry 4.0: A literature review on technologies for manufacturing systems, Engineering Science and Technology, an International Journal, 22, 899-919 (2019)
[10] Alduaij, A.; Hassan, NM., Adopting a circular open-field layout in designing flexible manufacturing systems, International Journal of Computer Integrated Manufacturing, 33, 572-589 (2020)
[11] Alhourani, F., Cellular manufacturing system design considering machines reliability and parts alternative process routings, International Journal of Production Research, 54, 846-863 (2016)
[12] Aljuneidi, T.; Bulgak, AA., A mathematical model for designing reconfigurable cellular hybrid manufacturing-remanufacturing systems, The International Journal of Advanced Manufacturing Technology, 87, 1585-1596 (2016)
[13] Aljuneidi, T.; Bulgak, AA., Designing a cellular manufacturing system featuring remanufacturing, recycling, and disposal options: A mathematical modeling approach, CIRP Journal of Manufacturing Science and Technology, 19, 25-35 (2017)
[14] Alumur, SA; Nickel, S.; Saldanha-da-Gama, F.; Verter, V., Multi-period reverse logistics network design, European Journal of Operational Research, 220, 67-78 (2012) · Zbl 1253.90042
[15] Amaral, AR., On the exact solution of a facility layout problem, European Journal of Operational Research, 173, 508-518 (2006) · Zbl 1110.90068
[16] Amaral, AR., A mixed-integer programming formulation for the double row layout of machines in manufacturing systems, International Journal of Production Research, 57, 34-47 (2019)
[17] Amaral, ARS., A heuristic approach for the double row layout problem, Annals of Operations Research, 316, 1-36 (2022)
[18] Anjos, MF; Fischer, A.; Hungerländer, P., Improved exact approaches for row layout problems with departments of equal length, European Journal of Operational Research, 270, 514-529 (2018) · Zbl 1403.90466
[19] Anjos, MF; Vieira, MV., Mathematical optimization approaches for facility layout problems: The state-of-the-art and future research directions, European Journal of Operational Research, 261, 1-16 (2017) · Zbl 1403.90467
[20] Ariafar, S.; Ismail, N., An improved algorithm for layout design in cellular manufacturing systems, Journal of Manufacturing Systems, 28, 132-139 (2009)
[21] Arkat, J.; Hosseinabadi Farahani, M.; Hosseini, L., Integrating cell formation with cellular layout and operations scheduling, The International Journal of Advanced Manufacturing Technology, 61, 637-647 (2012)
[22] Arkat, J.; Saidi, M.; Abbasi, B., Applying simulated annealing to cellular manufacturing system design, The International Journal of Advanced Manufacturing Technology, 32, 531-536 (2007)
[23] Arzi, Y.; Bukchin, J.; Masin, M., An efficiency frontier approach for the design of cellular manufacturing systems in a lumpy demand environment, European Journal of Operational Research, 134, 346-364 (2001) · Zbl 0991.90521
[24] Asef-Vaziri, A.; Laporte, G., Loop based facility planning and material handling, European Journal of Operational Research, 164, 1-11 (2005) · Zbl 1132.90337
[25] Ashraf, M.; Hasan, F., Configuration selection for a reconfigurable manufacturing flow line involving part production with operation constraints, The International Journal of Advanced Manufacturing Technology, 98, 2137-2156 (2018)
[26] Askin, RG., Contributions to the design and analysis of cellular manufacturing systems, International Journal of Production Research, 51, 6778-6787 (2013)
[27] Battaïa, O.; Dolgui, A.; Guschinsky, N., Decision support for design of reconfigurable rotary machining systems for family part production, International Journal of Production Research, 55, 1368-1385 (2017)
[28] Battaïa, O.; Dolgui, A.; Heragu, SS.; Meerkov, SM; Tiwari, MK., Design for manufacturing and assembly/disassembly: Joint design of products and production systems, International Journal of Production Research, 56, 7181-7189 (2018)
[29] Bauernhansl, T., Die Vierte Industrielle Revolution - Der Weg in ein wertschaffendes Produktionsparadigma, (Vogel-Heuser, B.; Bauernhansl, T.; tenHompel, M., Handbuch Industrie 4.0, vol. 2 (2017), Springer: Springer Berlin), 1-33
[30] Baykasoglu, A., Capability-based distributed layout approach for virtual manufacturing cells, International Journal of Production Research, 41, 2597-2618 (2003)
[31] Bayram, H.; Şahin, R., A comprehensive mathematical model for dynamic cellular manufacturing system design and Linear Programming embedded hybrid solution techniques, Computers & Industrial Engineering, 91, 10-29 (2016)
[32] Bensmaine, A.; Dahane, M.; Benyoucef, L., A non-dominated sorting genetic algorithm based approach for optimal machines selection in reconfigurable manufacturing environment, Computers & Industrial Engineering, 66, 519-524 (2013)
[33] Bentaha, ML; Battaïa, O.; Dolgui, A.; Hu, SJ., Second order conic approximation for disassembly line design with joint probabilistic constraints, European Journal of Operational Research, 247, 957-967 (2015) · Zbl 1346.90298
[34] Bi, ZM; Lang, SYT; Shen, W.; Wang, L., Reconfigurable manufacturing systems: The state of the art, International Journal of Production Research, 46, 967-992 (2008) · Zbl 1160.90368
[35] Bortolini, M.; Botti, L.; Galizia, FG; Regattieri, A., Bi-objective design and management of reconfigurable manufacturing systems to optimize technical and ergonomic performances, Applied Sciences, 11, 263 (2021)
[36] Bortolini, M.; Ferrari, E.; Galizia, FG; Regattieri, A., An optimisation model for the dynamic management of cellular reconfigurable manufacturing systems under auxiliary module availability constraints, Journal of Manufacturing Systems, 58, 442-451 (2021)
[37] Bortolini, M.; Galizia, FG; Mora, C., Reconfigurable manufacturing systems: Literature review and research trend, Journal of Manufacturing Systems, 49, 93-106 (2018)
[38] Boysen, N.; Briskorn, D.; Fedtke, S.; Schmickerath, M., Automated sortation conveyors: A survey from an operational research perspective, European Journal of Operational Research, 276, 796-815 (2019) · Zbl 1430.90063
[39] Boysen, N.; Koster, R. de; Füßler, D., The forgotten sons: Warehousing systems for brick-and-mortar retail chains, European Journal of Operational Research, 288, 361-381 (2021) · Zbl 1487.90080
[40] Boysen, N.; Koster, R. de; Weidinger, F., Warehousing in the e-commerce era: A survey, European Journal of Operational Research, 277, 396-411 (2019) · Zbl 1430.90065
[41] Brandenburg, M.; Govindan, K.; Sarkis, J.; Seuring, S., Quantitative models for sustainable supply chain management: Developments and directions, European Journal of Operational Research, 233, 299-312 (2014) · Zbl 1305.90002
[42] Browne, J.; Dubois, D.; Rathmill, K.; Sethi, S.; Stecke, KE., Classification of flexible manufacturing systems, The FMS Magazine, 2, 114-117 (1984)
[43] Burbidge, JL., The introduction of group technology (1975), Wiley: Wiley New York
[44] Buzacott, JA; Yao, DD., Flexible manufacturing systems: A review of analytical models, Management Science, 32, 890-905 (1986)
[45] Campos Sabioni, R.; Daaboul, J.; Le Duigou, J., Concurrent optimisation of modular product and Reconfigurable Manufacturing System configuration: A customer-oriented offer for mass customisation, International Journal of Production Research, 60, 2275-2291 (2022)
[46] Carrillo, JE; Franza, RM., Investing in product development and production capabilities: The crucial linkage between time-to-market and ramp-up time, European Journal of Operational Research, 171, 536-556 (2006) · Zbl 1090.90059
[47] Chae, J.; Peters, BA., A simulated annealing algorithm based on a closed loop layout for facility layout design in flexible manufacturing systems, International Journal of Production Research, 44, 2561-2572 (2006) · Zbl 1122.90381
[48] Chae, J.; Peters, BA., Layout design of multi-bay facilities with limited bay flexibility, Journal of Manufacturing Systems, 25, 1-11 (2006)
[49] Chaieb, I.; Korbaa, O., Intra-cell machine layout associated with flexible production and transport systems, Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 217, 883-897 (2003)
[50] Chen, M-C., Configuration of cellular manufacturing systems using association rule induction, International Journal of Production Research, 41, 381-395 (2003) · Zbl 1064.90519
[51] Chryssolouris, G., Manufacturing systems. theory and practice (1992), Springer Science+Business Media: Springer Science+Business Media New York
[52] Chung, S-H; Wu, T-H; Chang, C-C., An efficient tabu search algorithm to the cell formation problem with alternative routings and machine reliability considerations, Computers & Industrial Engineering, 60, 7-15 (2011)
[53] Codato, G.; Fischetti, M., Combinatorial benders’ cuts for mixed-integer linear programming, Operations Research, 54, 756-766 (2006) · Zbl 1167.90601
[54] Cravo, GL; Amaral, ARS., Adaptive iterated local search for the parallel row ordering problem, Expert Systems with Applications, 208, Article 118033 pp. (2022)
[55] Da Silveira, G.; Borenstein, D.; Fogliatto, FS., Mass customization: Literature review and research directions, International Journal of Production Economics, 72, 1-13 (2001)
[56] Dahlbeck, M., A mixed-integer linear programming approach for the T-row and the multi-bay facility layout problem, European Journal of Operational Research, 295, 443-462 (2021) · Zbl 1487.90434
[57] Das, A., Towards theory building in manufacturing flexibility, International Journal of Production Research, 39, 4153-4177 (2001) · Zbl 1114.90347
[58] Das, K.; Abdul-Kader, W., Consideration of dynamic changes in machine reliability and part demand: A cellular manufacturing systems design model, International Journal of Production Research, 49, 2123-2142 (2011)
[59] Das, K.; Lashkari, RS; Sengupta, S., Reliability considerations in the design of cellular manufacturing systems, International Journal of Quality & Reliability Management, 23, 880-904 (2006)
[60] Datta, D.; Amaral, AR; Figueira, JR., Single row facility layout problem using a permutation-based genetic algorithm, European Journal of Operational Research, 213, 388-394 (2011) · Zbl 1215.90039
[61] Davis, SM., From “future perfect”: Mass customizing, Planning Review, 17, 16-21 (1989)
[62] Deep, K., Machine cell formation for dynamic part population considering part operation trade-off and worker assignment using simulated annealing-based genetic algorithm, European Journal of Industrial Engineering, 14, 189-207 (2020)
[63] Deep, K.; Singh, PK., Design of robust cellular manufacturing system for dynamic part population considering multiple processing routes using genetic algorithm, Journal of Manufacturing Systems, 35, 155-163 (2015)
[64] Defersha, FM; Chen, M., A comprehensive mathematical model for the design of cellular manufacturing systems, International Journal of Production Economics, 103, 767-783 (2006)
[65] Defersha, FM; Chen, M., Machine cell formation using a mathematical model and a genetic-algorithm-based heuristic, International Journal of Production Research, 44, 2421-2444 (2006) · Zbl 1095.90026
[66] Defersha, FM; Hodiya, A., A mathematical model and a parallel multiple search path simulated annealing for an integrated distributed layout design and machine cell formation, Journal of Manufacturing Systems, 43, 195-212 (2017)
[67] Diallo, M.; Pierreval, H.; Quilliot, A., Manufacturing cells design with flexible routing capability in presence of unreliable machines, International Journal of Production Economics, 74, 175-182 (2001)
[68] Doltsinis, SC; Ratchev, S.; Lohse, N., A framework for performance measurement during production ramp-up of assembly stations, European Journal of Operational Research, 229, 85-94 (2013) · Zbl 1317.90102
[69] Dou, J.; Dai, X.; Meng, Z., Graph theory-based approach to optimize single-product flow-line configurations of RMS, The International Journal of Advanced Manufacturing Technology, 41, 916-931 (2009)
[70] Dou, J.; Dai, X.; Meng, Z., Precedence graph-oriented approach to optimise single-product flow-line configurations of reconfigurable manufacturing system, International Journal of Computer Integrated Manufacturing, 22, 923-940 (2009)
[71] Dou, J.; Dai, X.; Meng, Z., Optimisation for multi-part flow-line configuration of reconfigurable manufacturing system using GA, International Journal of Production Research, 48, 4071-4100 (2010) · Zbl 1197.90131
[72] Dou, J.; Li, J.; Su, C., Bi-objective optimization of integrating configuration generation and scheduling for reconfigurable flow lines using NSGA-II, The International Journal of Advanced Manufacturing Technology, 86, 1945-1962 (2016)
[73] Egilmez, G.; Süer, G., The impact of risk on the integrated cellular design and control, International Journal of Production Research, 52, 1455-1478 (2014)
[74] Egilmez, G.; Süer, GA; Huang, J., Stochastic cellular manufacturing system design subject to maximum acceptable risk level, Computers & Industrial Engineering, 63, 842-854 (2012)
[75] ElMaraghy, HA., Flexible and reconfigurable manufacturing systems paradigms, International Journal of Flexible Manufacturing Systems, 17, 261-276 (2005) · Zbl 1101.90341
[76] Erenay, B.; Süer, GA; Huang, J.; Maddisetty, S., Comparison of layered cellular manufacturing system design approaches, Computers & Industrial Engineering, 85, 346-358 (2015)
[77] Erengüç, Ş.; Simpson, NC; Vakharia, AJ., Integrated production/distribution planning in supply chains: An invited review, European Journal of Operational Research, 115, 219-236 (1999) · Zbl 0949.90658
[78] Essafi, M.; Delorme, X.; Dolgui, A., A reactive GRASP and Path Relinking for balancing reconfigurable transfer lines, International Journal of Production Research, 50, 5213-5238 (2012)
[79] Fan, J.; Feng, D., Design of cellular manufacturing system with quasi-dynamic dual resource using multi-objective GA, International Journal of Production Research, 51, 4134-4154 (2013)
[80] Ficko, M.; Brezovnik, S.; Klancnik, S.; Balic, J.; Brezocnik, M.; Pahole, I., Intelligent design of an unconstrained layout for a flexible manufacturing system, Neurocomputing, 73, 639-647 (2010)
[81] Fischer, A.; Fischer, F.; Hungerländer, P., New exact approaches to row layout problems, Mathematical Programming Computation, 11, 703-754 (2019) · Zbl 1432.90085
[82] Fleischmann, B.; Meyr, H.; Wagner, M., Advanced planning, (Stadtler, H.; Kilger, C.; Meyr, H., Supply chain management and advanced planning. concepts, models, software, and case studies (2015), Springer: Springer Berlin, Heidelberg), 71-95
[83] Flynn, JM; Shokrani, A.; Newman, ST; Dhokia, V., Hybrid additive and subtractive machine tools - Research and industrial developments, International Journal of Machine Tools and Manufacture, 101, 79-101 (2016)
[84] Ford, H., My life and work (1923/2015), Open Road Media: Open Road Media New York, NY
[85] Forghani, K.; Mohammadi, M.; Ghezavati, V., Integrated cell formation and layout problem considering multi-row machine arrangement and continuous cell layout with aisle distance, The International Journal of Advanced Manufacturing Technology, 78, 687-705 (2015)
[86] Fragapane, G.; Koster, R. de; Sgarbossa, F.; Strandhagen, JO, Planning and control of autonomous mobile robots for intralogistics: Literature review and research agenda, European Journal of Operational Research, 294, 405-426 (2021) · Zbl 1487.90100
[87] Gaimon, C.; Singhal, V., Flexibility and the choice of manufacturing facilities under short product life cycles, European Journal of Operational Research, 60, 211-223 (1992) · Zbl 0825.90466
[88] Ghezavati, VR; Saidi-Mehrabad, M., An efficient hybrid self-learning method for stochastic cellular manufacturing problem: A queuing-based analysis, Expert Systems with Applications, 38, 1326-1335 (2011)
[89] Ghosh, T.; Doloi, B.; Dan, PK., An immune genetic algorithm for inter-cell layout problem in cellular manufacturing system, Production Engineering, 10, 157-174 (2016)
[90] Ghotboddini, MM; Rabbani, M.; Rahimian, H., A comprehensive dynamic cell formation design: Benders’ decomposition approach, Expert Systems with Applications, 38, 2478-2488 (2011)
[91] Goli, A.; Tirkolaee, EB; Aydin, NS., Fuzzy integrated cell formation and production scheduling considering automated guided vehicles and human factors, IEEE Transactions on Fuzzy Systems, 29, 3686-3695 (2021)
[92] Gönsch, J., How much to tell your customer? - A survey of three perspectives on selling strategies with incompletely specified products, European Journal of Operational Research, 280, 793-817 (2020)
[93] Govindan, K.; Soleimani, H.; Kannan, D., Reverse logistics and closed-loop supply chain: A comprehensive review to explore the future, European Journal of Operational Research, 240, 603-626 (2015) · Zbl 1338.90006
[94] Goyal, KK; Jain, PK., Design of reconfigurable flow lines using MOPSO and maximum deviation theory, The International Journal of Advanced Manufacturing Technology, 84, 1587-1600 (2015)
[95] Goyal, KK; Jain, PK; Jain, M., Optimal configuration selection for reconfigurable manufacturing system using NSGA II and TOPSIS, International Journal of Production Research, 50, 4175-4191 (2012)
[96] Greene, TJ; Sadowski, RP., A review of cellular manufacturing assumptions, advantages and design techniques, Journal of Operations Management, 4, 85-97 (1984)
[97] Guan, C.; Zhang, Z.; Zhu, L.; Liu, S., Mathematical formulation and a hybrid evolution algorithm for solving an extended row facility layout problem of a dynamic manufacturing system, Robotics and Computer-Integrated Manufacturing, 78, Article 102379 pp. (2022)
[98] Gunther, RE; Johnson, GD; Peterson, RS., Currently practiced formulations for the assembly line balance problem, Journal of Operations Management, 3, 209-221 (1983)
[99] Gupta, YP; Goyal, S., Flexibility of manufacturing systems: Concepts and measurements, European Journal of Operational Research, 43, 119-135 (1989)
[100] Gupta, YP; Goyal, S., Flexibility of manufacturing systems: Concepts and measurements, European Journal of Operational Research, 43, 119-135 (1989)
[101] Haddou Benderbal, H.; Benyoucef, L., Machine layout design problem under product family evolution in reconfigurable manufacturing environment: A two-phase-based AMOSA approach, The International Journal of Advanced Manufacturing Technology, 104, 375-389 (2019)
[102] Hendry, LC; Kingsman, BG., Production planning systems and their applicability to make-to-order companies, European Journal of Operational Research, 40, 1-15 (1989)
[103] Heragu, SS; Chen, J-S., Optimal solution of cellular manufacturing system design: Benders’ decomposition approach, European Journal of Operational Research, 107, 175-192 (1998) · Zbl 0943.90019
[104] Hottenrott, A.; Grunow, M., Flexible layouts for the mixed-model assembly of heterogeneous vehicles, OR Spectrum, 41, 943-979 (2019) · Zbl 1527.90091
[105] Hottenrott, A.; Schiffer, M.; Grunow, M., Flexible assembly layouts in smart manufacturing: An impact assessment for the automotive industry, IISE Transactions, 55, 1144-1159 (2023)
[106] Huang, S.; Wang, G.; Yan, Y., Delayed reconfigurable manufacturing system, International Journal of Production Research, 57, 2372-2391 (2019)
[107] Huang, S.; Yan, Y., Design of delayed reconfigurable manufacturing system based on part family grouping and machine selection, International Journal of Production Research, 58, 4471-4488 (2020)
[108] Hungerländer, P.; Anjos, MF., A semidefinite optimization-based approach for global optimization of multi-row facility layout, European Journal of Operational Research, 245, 46-61 (2015) · Zbl 1346.90500
[109] Ivanov, D.; Das, A.; Choi, T-M., New flexibility drivers for manufacturing, supply chain and service operations, International Journal of Production Research, 56, 3359-3368 (2018)
[110] Javadi, B.; Jolai, F.; Slomp, J.; Rabbani, M.; Tavakkoli-Moghaddam, R., An integrated approach for the cell formation and layout design in cellular manufacturing systems, International Journal of Production Research, 51, 6017-6044 (2013)
[111] Javadian, N.; Aghajani, A.; Rezaeian, J.; Ghaneian Sebdani, MJ, A multi-objective integrated cellular manufacturing systems design with dynamic system reconfiguration, The International Journal of Advanced Manufacturing Technology, 56, 307-317 (2011)
[112] Jayaswal, S.; Adil, GK., Efficient algorithm for cell formation with sequence data, machine replications and alternative process routings, International Journal of Production Research, 42, 2419-2433 (2004) · Zbl 1059.90052
[113] Jolai, F.; Taghipour, M.; Javadi, B., A variable neighborhood binary particle swarm algorithm for cell layout problem, The International Journal of Advanced Manufacturing Technology, 55, 327-339 (2011)
[114] Kaku, BK; Thompson, GL; Baybars, I., A heuristic method for the multi-story layout problem, European Journal of Operational Research, 37, 384-397 (1988) · Zbl 0652.90032
[115] Khan, AS., Multi-objective optimization of a cost-effective modular reconfigurable manufacturing system: An integration of product quality and vehicle routing Problem, IEEE Access, 10, 5304-5326 (2022)
[116] Khettabi, I.; Benyoucef, L.; Boutiche, MA., Sustainable reconfigurable manufacturing system design using adapted multi-objective evolutionary-based approaches, The International Journal of Advanced Manufacturing Technology, 115, 3741-3759 (2021)
[117] Kia, R., A genetic algorithm to integrate a comprehensive dynamic cellular manufacturing system with aggregate planning decisions, International Journal of Management Science and Engineering Management, 15, 138-154 (2020)
[118] Kia, R.; Baboli, A.; Javadian, N.; Tavakkoli-Moghaddam, R.; Kazemi, M.; Khorrami, J., Solving a group layout design model of a dynamic cellular manufacturing system with alternative process routings, lot splitting and flexible reconfiguration by simulated annealing, Computers & Operations Research, 39, 2642-2658 (2012) · Zbl 1251.90109
[119] Kia, R.; Khaksar-Haghani, F.; Javadian, N.; Tavakkoli-Moghaddam, R., Solving a multi-floor layout design model of a dynamic cellular manufacturing system by an efficient genetic algorithm, Journal of Manufacturing Systems, 33, 218-232 (2014)
[120] Kickert, WJM., The Magic Word Flexibility, International Studies of Management & Organization, 14, 6-31 (1984)
[121] Kim, K.; Chhajed, D., Commonality in product design: Cost saving, valuation change and cannibalization, European Journal of Operational Research, 125, 602-621 (2000) · Zbl 0967.90037
[122] Klein, R.; Koch, S.; Steinhardt, C.; Strauss, AK., A review of revenue management: Recent generalizations and advances in industry applications, European Journal of Operational Research, 284, 397-412 (2020) · Zbl 1441.90073
[123] Koren, Y.; Heisel, U.; Jovane, F.; Moriwaki, T.; Pritschow, G.; Ulsoy, G.; van Brussel, H., Reconfigurable manufacturing systems, CIRP Annals, 48, 527-540 (1999)
[124] Koren, Y.; Wang, W.; Gu, X., Value creation through design for scalability of reconfigurable manufacturing systems, International Journal of Production Research, 55, 1227-1242 (2017)
[125] Kuhn, H., Fließproduktionssysteme (1998), Leistungsbewertung, Konfigurations- und Instandhaltungsplanung. Physica: Leistungsbewertung, Konfigurations- und Instandhaltungsplanung. Physica Heidelberg
[126] Kumar, R.; Singh, SP., A similarity score-based two-phase heuristic approach to solve the dynamic cellular facility layout for manufacturing systems, Engineering Optimization, 49, 1848-1867 (2017)
[127] Kumar, R.; Singh, SP., Simulated annealing-based embedded meta-heuristic approach to solve bi-objective robust stochastic sustainable cellular layout, Global Journal of Flexible Systems Management, 19, 69-93 (2018)
[128] Kumar, A.; Jacobson, S. H.; Sewell, E. C., Computational analysis of a flexible assembly system design problem, European Journal of Operational Research, 123, 453-472 (2000) · Zbl 0991.90052
[129] Kusiak, A., Application of operational research models and techniques in flexible manufacturing systems, European Journal of Operational Research, 24, 336-345 (1986)
[130] Kusiak, A., Smart manufacturing, International Journal of Production Research, 56, 508-517 (2018)
[131] Lamba, K.; Kumar, R.; Mishra, S.; Rajput, S., Sustainable dynamic cellular facility layout: A solution approach using simulated annealing-based meta-heuristic, Annals of Operations Research, 290, 5-26 (2020)
[132] Lambert, AJ., Generation of assembly graphs by systematic analysis of assembly structures, European Journal of Operational Research, 168, 932-951 (2006) · Zbl 1083.90508
[133] Lauwers, B.; Klocke, F.; Klink, A.; Tekkaya, AE; Neugebauer, R.; Mcintosh, D., Hybrid processes in manufacturing, CIRP Annals, 63, 561-583 (2014)
[134] Liu, C.; Wang, J.; Zhou, M., Reconfiguration of virtual cellular manufacturing systems via improved imperialist competitive approach, IEEE Transactions on Automation Science and Engineering, 16, 1301-1314 (2019)
[135] Liu, C.; Yang, N.; Li, W.; Lian, J.; Evans, S.; Yin, Y., Training and assignment of multi-skilled workers for implementing seru production systems, The International Journal of Advanced Manufacturing Technology, 69, 937-959 (2013)
[136] Logendran, R.; Sirikrai, V., Machine duplication and part subcontracting in the presence of alternative cell locations in manufacturing cell design, Journal of the Operational Research Society, 51, 609-624 (2000) · Zbl 1055.90545
[137] Mahdavi, I.; Aalaei, A.; Paydar, MM; Solimanpur, M., Designing a mathematical model for dynamic cellular manufacturing systems considering production planning and worker assignment, Computers & Mathematics with Applications, 60, 1014-1025 (2010) · Zbl 1201.90120
[138] Mahdavi, I.; Aalaei, A.; Paydar, MM; Solimanpur, M., Multi-objective cell formation and production planning in dynamic virtual cellular manufacturing systems, International Journal of Production Research, 49, 6517-6537 (2011)
[139] Mahdavi, I.; Shirazi, B.; Paydar, MM., A flow matrix-based heuristic algorithm for cell formation and layout design in cellular manufacturing system, The International Journal of Advanced Manufacturing Technology, 39, 943-953 (2008)
[140] Mak, KL; Wong, YS; Wang, XX., An adaptive genetic algorithm for manufacturing cell formation, The International Journal of Advanced Manufacturing Technology, 16, 491-497 (2000)
[141] Mallikarjuna, K.; Veeranna, V.; Reddy, KH., A new meta-heuristics for optimum design of loop layout in flexible manufacturing system with integrated scheduling, The International Journal of Advanced Manufacturing Technology, 84, 1841-1860 (2016)
[142] Mansour, H.; Afefy, IH; Taha, SM., Heuristic-based approach to solve layout design and workers’ assignment problem in the cellular manufacturing system, International Journal of Management Science and Engineering Management, 17, 49-65 (2022)
[143] Mansour, H.; Afefy, IH; Taha, SM., Simultaneous layout design optimization with the scalable reconfigurable manufacturing system, Production Engineering, 17, 565-573 (2023)
[144] Matta, A.; Tolio, T.; Tontini, F., Tool management in flexible manufacturing systems with network part program, International Journal of Production Research, 42, 3707-3730 (2004)
[145] Matzke, A.; Volling, T.; Spengler, TS., Upgrade auctions in build-to-order manufacturing with loss-averse customers, European Journal of Operational Research, 250, 470-479 (2016) · Zbl 1346.91101
[146] Mehdizadeh, E.; Daei Niaki, SV; Rahimi, V., A vibration damping optimization algorithm for solving a new multi-objective dynamic cell formation problem with workers training, Computers & Industrial Engineering, 101, 35-52 (2016)
[147] Mehrabi, MG; Ulsoy, AG; Koren, Y., Reconfigurable manufacturing systems: Key to future manufacturing, Journal of Intelligent Manufacturing, 11, 403-419 (2000)
[148] Mehrabi, MG; Ulsoy, AG; Koren, Y.; Heytler, P., Trend and perspectives in flexible and reconfigurable manufacturing systems, Journal of Intelligent Manufacturing, 13, 135-146 (2002)
[149] Melo, MT; Nickel, S.; Saldanha-da-Gama, F., Facility location and supply chain management - A review, European Journal of Operational Research, 196, 401-412 (2009) · Zbl 1163.90341
[150] Moghaddam, SK; Houshmand, M.; Fatahi Valilai, O., Configuration design in scalable reconfigurable manufacturing systems (RMS); a case of single-product flow line (SPFL), International Journal of Production Research, 56, 3932-3954 (2018)
[151] Moghaddam, SK; Houshmand, M.; Saitou, K.; Fatahi Valilai, O., Configuration design of scalable reconfigurable manufacturing systems for part family, International Journal of Production Research, 58, 2974-2996 (2020)
[152] Mohammadi, M.; Forghani, K., A novel approach for considering layout problem in cellular manufacturing systems with alternative processing routings and subcontracting approach, Applied Mathematical Modelling, 38, 3624-3640 (2014) · Zbl 1427.90124
[153] Mohammadi, M.; Forghani, K., Designing cellular manufacturing systems considering S-shaped layout, Computers & Industrial Engineering, 98, 221-236 (2016)
[154] Müller, C., Zur redundanten Konfiguration automatisierter Fließproduktionssysteme (2019), Springer Gabler: Springer Gabler Wiesbaden
[155] Müller, C.; Grunewald, M.; Spengler, TS., Redundant configuration of automated flow lines based on “Industry 4.0”-technologies, Journal of Business Economics, 87, 877-898 (2017)
[156] Müller, C.; Grunewald, M.; Spengler, TS., Redundant configuration of robotic assembly lines with stochastic failures, International Journal of Production Research, 56, 3662-3682 (2018)
[157] Neghabat, F., An Efficient Equipment-Layout Algorithm, Operations Research, 22, 622-628 (1974) · Zbl 0279.90043
[158] Offodile, OF; Mehrez, A.; Grznar, J., Cellular manufacturing: A taxonomic review framework, Journal of Manufacturing Systems, 13, 196-220 (1994)
[159] Otto, A.; Scholl, A., Incorporating ergonomic risks into assembly line balancing, European Journal of Operational Research, 212, 277-286 (2011)
[160] Ozcelik, F., A hybrid genetic algorithm for the single row layout problem, International Journal of Production Research, 50, 5872-5886 (2012)
[161] Özceylan, E.; Kalayci, CB; Güngör, A.; Gupta, SM., Disassembly line balancing problem: A review of the state of the art and future directions, International Journal of Production Research, 57, 4805-4827 (2019)
[162] Papaioannou, G.; Wilson, JM., The evolution of cell formation problem methodologies based on recent studies (1997-2008): Review and directions for future research, European Journal of Operational Research, 206, 509-521 (2010) · Zbl 1188.90002
[163] Paydar, MM; Mahdavi, I.; Sharafuddin, I.; Solimanpur, M., Applying simulated annealing for designing cellular manufacturing systems using MDmTSP, Computers & Industrial Engineering, 59, 929-936 (2010)
[164] Pérez Pérez, M.; Serrano Bedia, AM; López Fernández, MC, A review of manufacturing flexibility: Systematising the concept, International Journal of Production Research, 54, 3133-3148 (2016)
[165] Pillai, VM; Subbarao, K., A robust cellular manufacturing system design for dynamic part population using a genetic algorithm, International Journal of Production Research, 46, 5191-5210 (2008) · Zbl 1178.90133
[166] Pine, BJ., Mass customizing products and services, Planning Review, 21, 6-55 (1993)
[167] Potts, CN; Whitehead, JD., Workload balancing and loop layout in the design of a flexible manufacturing system, European Journal of Operational Research, 129, 326-336 (2001) · Zbl 0979.90057
[168] Pourvaziri, H.; Salimpour, S.; Akhavan Niaki, ST; Azab, A., Robust facility layout design for flexible manufacturing: A doe-based heuristic, International Journal of Production Research, 60, 5633-5654 (2022)
[169] Qi, M.; Hao, X.; Yuan, M., An optimal layout pattern-based solution approach to the extended machine layout problem with multirow multicolumn structure, IEEE Transactions on Automation Science and Engineering, 20, 1408-1428 (2023)
[170] Rafiee, K.; Rabbani, M.; Rafiei, H.; Rahimi-Vahed, A., A new approach towards integrated cell formation and inventory lot sizing in an unreliable cellular manufacturing system, Applied Mathematical Modelling, 35, 1810-1819 (2011) · Zbl 1217.90020
[171] Rahimi, V.; Arkat, J.; Farughi, H., A vibration damping optimization algorithm for the integrated problem of cell formation, cellular scheduling, and intercellular layout, Computers & Industrial Engineering, 143, Article 106439 pp. (2020)
[172] Renna, P.; Ambrico, M., Design and reconfiguration models for dynamic cellular manufacturing to handle market changes, International Journal of Computer Integrated Manufacturing, 28, 170-186 (2015)
[173] Renzi, C.; Leali, F.; Cavazzuti, M.; Andrisano, AO., A review on artificial intelligence applications to the optimal design of dedicated and reconfigurable manufacturing systems, The International Journal of Advanced Manufacturing Technology, 72, 403-418 (2014)
[174] Rezaeian, J.; Javadian, N.; Tavakkoli-Moghaddam, R.; Jolai, F., A hybrid approach based on the genetic algorithm and neural network to design an incremental cellular manufacturing system, Applied Soft Computing, 11, 4195-4202 (2011)
[175] Rezazadeh, H.; Ghazanfari, M.; Sadjadi, SJ; Aryanezhad, M.; Makui, A., Linear programming embedded particle swarm optimization for solving an extended model of dynamic virtual cellular manufacturing systems, Journal of Applied Research and Technology, 7, 84-108 (2009)
[176] Rohde, J.; Meyr, H.; Wagner, M., Die supply chain planning matrix, PPS Management, 5, 10-15 (2000)
[177] Saad, SM; Baykasoglu, A.; Gindy, NNZ., An integrated framework for reconfiguration of cellular manufacturing systems using virtual cells, Production Planning & Control, 13, 381-393 (2002)
[178] Saeed Jabal Ameli, M.; Arkat, J., Cell formation with alternative process routings and machine reliability consideration, The International Journal of Advanced Manufacturing Technology, 35, 761-768 (2008)
[179] Safaei, N.; Saidi-Mehrabad, M.; Babakhani, M., Designing cellular manufacturing systems under dynamic and uncertain conditions, Journal of Intelligent Manufacturing, 18, 383-399 (2007)
[180] Safaei, N.; Saidi-Mehrabad, M.; MS, Jabal-Ameli, A hybrid simulated annealing for solving an extended model of dynamic cellular manufacturing system, European Journal of Operational Research, 185, 563-592 (2008) · Zbl 1137.90471
[181] Safaei, N.; Saidi-Mehrabad, M.; Tavakkoli-Moghaddam, R.; Sassani, F., A fuzzy programming approach for a cell formation problem with dynamic and uncertain conditions, Fuzzy Sets and Systems, 159, 215-236 (2008) · Zbl 1170.90380
[182] Saitou, K.; Malpathak, S.; Qvam, H., Robust design of flexible manufacturing systems using, colored Petri net and genetic algorithm, Journal of Intelligent Manufacturing, 13, 339-351 (2002)
[183] Salimpour, S.; Pourvaziri, H.; Azab, A., Semi-robust layout design for cellular manufacturing in a dynamic environment, Computers & Operations Research, 133, Article 105367 pp. (2021) · Zbl 1511.90151
[184] Saraç, T.; Ozcelik, F., A genetic algorithm with proper parameters for manufacturing cell formation problems, Journal of Intelligent Manufacturing, 23, 1047-1061 (2012)
[185] Saravanan, M.; Kumar, SG., Design and optimisation of loop layout problems flexible manufacturing system using sheep flock heredity algorithm, The International Journal of Advanced Manufacturing Technology, 77, 1851-1866 (2015)
[186] Satheesh Kumar, RM; Asokan, P.; Kumanan, S., Design of loop layout in flexible manufacturing system using non-traditional optimization technique, The International Journal of Advanced Manufacturing Technology, 38, 594-599 (2008)
[187] Satoglu, SI; Durmusoglu, MB; Ertay, T., A mathematical model and a heuristic approach for design of the hybrid manufacturing systems to facilitate one-piece flow, International Journal of Production Research, 48, 5195-5220 (2010) · Zbl 1197.90166
[188] Satoglu, SI; Suresh, NC., A goal-programming approach for design of hybrid cellular manufacturing systems in dual resource constrained environments, Computers & Industrial Engineering, 56, 560-575 (2009)
[189] Saxena, LK; Jain, PK., Dynamic cellular manufacturing systems design—A comprehensive model, The International Journal of Advanced Manufacturing Technology, 53, 11-34 (2011)
[190] Saxena, LK; Jain, PK., A model and optimisation approach for reconfigurable manufacturing system configuration design, International Journal of Production Research, 50, 3359-3381 (2012)
[191] Schneeweiss, C., Distributed decision making-a unified approach, European Journal of Operational Research, 150, 237-252 (2003) · Zbl 1137.90562
[192] Scholl, A.; Boysen, N.; Fliedner, M., The assembly line balancing and scheduling problem with sequence-dependent setup times: Problem extension, model formulation and efficient heuristics, OR Spectrum, 35, 291-320 (2013) · Zbl 1260.90098
[193] Sethi, AK; Sethi, SP., Flexibility in manufacturing: A survey, The International Journal of Flexible Manufacturing Systems, 2, 289-328 (1990)
[194] Shafigh, F.; Defersha, FM; Moussa, SE., A linear programming embedded simulated annealing in the design of distributed layout with production planning and systems reconfiguration, The International Journal of Advanced Manufacturing Technology, 88, 1119-1140 (2017)
[195] Sikora, CGS., Benders’ decomposition for the balancing of assembly lines with stochastic demand, European Journal of Operational Research, 292, 108-124 (2021) · Zbl 1487.90257
[196] Sikora, CGS; Weckenborg, C., Balancing of assembly lines with collaborative robots: Comparing approaches of the Benders’ decomposition algorithm, International Journal of Production Research, 61, 5117-5133 (2023)
[197] Singh, N., Design of cellular manufacturing systems: An invited review, European Journal of Operational Research, 69, 284-291 (1993)
[198] Smith, A., The Glasgow edition of the works and correspondence of Adam Smith. An Inquiry into the Nature and Causes of the Wealth of Nations. Edited by R. H. Campbell and A. S. Skinner (1776/1979), Oxford Univ. Press: Oxford Univ. Press Oxford
[199] Solimanpur, M.; Vrat, P.; Shankar, R., A transiently chaotic neural network approach to the design of cellular manufacturing, International Journal of Production Research, 40, 2225-2244 (2002) · Zbl 1051.90513
[200] Solimanpur, M.; Vrat, P.; Shankar, R., A multi-objective genetic algorithm approach to the design of cellular manufacturing systems, International Journal of Production Research, 42, 1419-1441 (2004) · Zbl 1060.90084
[201] Solimanpur, M.; Vrat, P.; Shankar, R., An ant algorithm for the single row layout problem in flexible manufacturing systems, Computers & Operations Research, 32, 583-598 (2005) · Zbl 1061.90040
[202] Songore, GV; Songore, V., Cellular manufacturing systems design using Tabu search, Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 214, 169-172 (2000)
[203] Sörensen, K., Metaheuristics-the metaphor exposed, International Transactions in Operational Research, 22, 3-18 (2015) · Zbl 1309.90127
[204] Sörensen, K.; Glover, FW, Metaheuristics, (Gass, SI; Fu, MC, Encyclopedia of operations research and management science (2013), Springer US: Springer US Boston, MA), 960-970 · Zbl 1326.90001
[205] Spicer, P.; Carlo, HJ., Integrating reconfiguration cost into the design of multi-period scalable reconfigurable manufacturing systems, Journal of Manufacturing Science and Engineering, 129, 202-210 (2007)
[206] Stadtler, H., Supply chain management and advanced planning-basics, overview and challenges, European Journal of Operational Research, 163, 575-588 (2005) · Zbl 1071.90006
[207] Stefansdottir, B.; Grunow, M.; Akkerman, R., Classifying and modeling setups and cleanings in lot sizing and scheduling, European Journal of Operational Research, 261, 849-865 (2017) · Zbl 1403.90293
[208] Stevenson, M.; Spring, M., Flexibility from a supply chain perspective: Definition and review, International Journal of Operations & Production Management, 27, 685-713 (2007)
[209] Stnha, RK; Hollier, RH., A review of production control problems in cellular manufacture, International Journal of Production Research, 22, 773-789 (1984)
[210] Süer, GA; Huang, J.; Maddisetty, S., Design of dedicated, shared and remainder cells in a probabilistic demand environment, International Journal of Production Research, 48, 5613-5646 (2010)
[211] Suzanne, E.; Absi, N.; Borodin, V., Towards circular economy in production planning: Challenges and opportunities, European Journal of Operational Research, 287, 168-190 (2020) · Zbl 1443.90170
[212] Tavakkoli-Moghaddam, R.; Ranjbar-Bourani, M.; Amin, GR; Siadat, A., A cell formation problem considering machine utilization and alternative process routes by scatter search, Journal of Intelligent Manufacturing, 23, 1127-1139 (2012)
[213] Tempelmeier, H.; Kuhn, H., Flexible manufacturing systems, Decision support for design and operation (1993), Wiley: Wiley New York
[214] Terwiesch, C.; Bohn, RE., Learning and process improvement during production ramp-up, International Journal of Production Economics, 70, 1-19 (2001)
[215] Thies, C.; Kieckhäfer, K.; Spengler, TS; Sodhi, MS., Operations research for sustainability assessment of products: A review, European Journal of Operational Research, 274, 1-21 (2019) · Zbl 1430.90351
[216] Tolio, T.; Urgo, M., Design of flexible transfer lines: A case-based reconfiguration cost assessment, Journal of Manufacturing Systems, 32, 325-334 (2013)
[217] Tolio, T.; Valente, A., A stochastic programming approach to design the production system flexibility considering the evolution of the part families, International Journal of Manufacturing Technology and Management, 17, 42-67 (2009)
[218] Tubaileh, A.; Siam, J., Single and multi-row layout design for flexible manufacturing systems, International Journal of Computer Integrated Manufacturing, 30, 1316-1330 (2017)
[219] Tubaileh, AS., Layout of flexible manufacturing systems based on kinematic constraints of the autonomous material handling system, The International Journal of Advanced Manufacturing Technology, 74, 1521-1537 (2014)
[220] Upton, DM., The management of manufacturing flexibility, California Management Review, 36, 72-89 (1994)
[221] Vairaktarakis, G. L.; Cai, X.; Lee, C.-Y., Workforce planning in synchronous production systems, European Journal of Operational Research, 136, 551-572 (2002) · Zbl 1008.90017
[222] van den Broeke, MM; Boute, RN; van Mieghem, JA., Platform flexibility strategies: R&D investment versus production customization tradeoff, European Journal of Operational Research, 270, 475-486 (2018) · Zbl 1403.90299
[223] Venkataramanaiah, S.; Krishnaiah, K., Hybrid heuristic for design of cellular manufacturing systems, Production Planning & Control, 13, 274-283 (2002)
[224] Volling, T.; Matzke, A.; Grunewald, M.; Spengler, TS., Planning of capacities and orders in build-to-order automobile production: A review, European Journal of Operational Research, 224, 240-260 (2013) · Zbl 1292.90108
[225] Wang, J., Formation of machine cells and part families in cellular manufacturing systems using a linear assignment algorithm, Automatica, 39, 1607-1615 (2003) · Zbl 1033.90030
[226] Wang, TY; Wu, KB; Liu, YW., A simulated annealing algorithm for facility layout problems under variable demand in Cellular Manufacturing Systems, Computers in Industry, 46, 181-188 (2001)
[227] Wang, W.; Koren, Y., Scalability planning for reconfigurable manufacturing systems, Journal of Manufacturing Systems, 31, 83-91 (2012)
[228] Wang, X.; Tang, J.; Yung, K., Optimization of the multi-objective dynamic cell formation problem using a scatter search approach, The International Journal of Advanced Manufacturing Technology, 44, 318-329 (2009)
[229] Weckenborg, C.; Kieckhäfer, K.; Müller, C.; Grunewald, M.; Spengler, TS., Balancing of assembly lines with collaborative robots, Business Research, 13, 93-132 (2020)
[230] Weckenborg, C.; Thies, C.; Spengler, TS., Harmonizing ergonomics and economics of assembly lines using collaborative robots and exoskeletons, Journal of Manufacturing Systems, 62, 681-702 (2022)
[231] Williamson, DTN., The pattern of batch manufacture and its influence on machine tool design, Proceedings of the Institution of Mechanical Engineers, 182, 870-875 (1968)
[232] Won, Y.; Logendran, R., Effective two-phase p -median approach for the balanced cell formation in the design of cellular manufacturing system, International Journal of Production Research, 53, 2730-2750 (2015)
[233] Wu, C-H., Product-design and pricing strategies with remanufacturing, European Journal of Operational Research, 222, 204-215 (2012) · Zbl 1253.90056
[234] Wu, X.; Chu, C-H; Wang, Y.; Yan, W., Concurrent design of cellular manufacturing systems: A genetic algorithm approach, International Journal of Production Research, 44, 1217-1241 (2006) · Zbl 1095.90030
[235] Wynne, BE; Hutchinson, GK., Simulation of advanced manufacturing systems, Winter Simulation Conference, 7, 39-44 (1974)
[236] Xambre, AR; Vilarinho, PM., A simulated annealing approach for manufacturing cell formation with multiple identical machines, European Journal of Operational Research, 151, 434-446 (2003) · Zbl 1053.90030
[237] Xue, G.; Offodile, OF., Integrated optimization of dynamic cell formation and hierarchical production planning problems, Computers & Industrial Engineering, 139, Article 106155 pp. (2020)
[238] Yang, J.; Liu, F.; Dong, Y.; Cao, Y.; Cao, Y., Multiple-objective optimization of a reconfigurable assembly system via equipment selection and sequence planning, Computers & Industrial Engineering, 172, Article 108519 pp. (2022)
[239] Yang, T.; Peters, BA; Tu, M., Layout design for flexible manufacturing systems considering single-loop directional flow patterns, European Journal of Operational Research, 164, 440-455 (2005) · Zbl 1068.90052
[240] Yelles-Chaouche, AR; Gurevsky, E.; Brahimi, N.; Dolgui, A., Reconfigurable manufacturing systems from an optimisation perspective: A focused review of literature, International Journal of Production Research, 1-19 (2020)
[241] Youssef, AMA; ElMaraghy, HA., Modelling and optimization of multiple-aspect RMS configurations, International Journal of Production Research, 44, 4929-4958 (2006) · Zbl 1114.90371
[242] Youssef, AMA; ElMaraghy, HA., Availability consideration in the optimal selection of multiple-aspect RMS configurations, International Journal of Production Research, 46, 5849-5882 (2008) · Zbl 1154.90391
[243] Yusuf, Y.; Gunasekaran, A.; Adeleye, E.; Sivayoganathan, K., Agile supply chain capabilities: Determinants of competitive objectives, European Journal of Operational Research, 159, 379-392 (2004) · Zbl 1065.90503
[244] Zeidi, JR; Javadian, N.; Tavakkoli-Moghaddam, R.; Jolai, F., A hybrid multi-objective approach based on the genetic algorithm and neural network to design an incremental cellular manufacturing system, Computers & Industrial Engineering, 66, 1004-1014 (2013)
[245] Zhu, Q.; Huang, S.; Wang, G.; Moghaddam, SK; Lu, Y.; Yan, Y., Dynamic reconfiguration optimization of intelligent manufacturing system with human-robot collaboration based on digital twin, Journal of Manufacturing Systems, 65, 330-338 (2022)
[246] Zhu, Z.; Dhokia, VG; Nassehi, A.; Newman, ST., A review of hybrid manufacturing processes – state of the art and future perspectives, International Journal of Computer Integrated Manufacturing, 26, 596-615 (2013)
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.