×

A robust hybrid decision model to evaluate critical factors of reverse logistics implementation using grey-DEMATEL framework. (English) Zbl 07319763

Summary: The rising electronics waste (e-waste), increased pollution, disposal issues and exploitation of natural resources have augmented ecological and resource scarcity problems. These problems can be abate by adopting reverse logistics (RL) implementation so, the environmental protection and resource recovery options such as reuse, refurbish, recycle, remanufacturing and proper disposal can be executed to deal and manage with the e-waste. The goal of this research work is to identifies, evaluate and analyze the factors for successful implementation of RL practices. Fifteen critical RL factors are recognized from pertinent literature and endorsed by industry professionals. This paper utilized Grey based Decision Making Trial and Evaluation Laboratory (DEMATEL) approach to sort the identified factors into cause and effect clusters. Grey DEMATEL resolves the problem of data uncertainty and impreciseness involves in decision making in analyzing the factors. The results of the study found that 11 RL factors came into causal cluster as vital factors and 4 RL factors into the effect cluster as fundamental problems factors. Among causal cluster, the highest ranked four influential factors are Top management commitment (RLF1) with weightage value 0.7604, RLF2 i.e. enforced government regulations with weightage value 0.6549, RLF6 i.e. environmental/green concerns factor with weightage value 0.5678 and RLF8 i.e. Waste minimization (especially e-waste) factor with weightage value 0.5113 are respectively. Similarly, among effect cluster, the most easily influenced two factors are “Market and competition factors” (RLF15) with weightage value \((- 1.1207)\) and “Increased e-commerce” (RLF13) with weightage value \((- 1.2855)\) respectively. A case example of an Indian electronics firm is taken to showcase the application of the proposed model. This paper can help supply chain managers and analysts in superior understanding of critical factors and increase the chances of practicing more effective and successful RL implementation in electronics industry. At the end, few key country and industry-specific recommendations are offered to support major decision for management and policy makers to embrace and successfully accomplish the reverse supply chain practices in India.

MSC:

90Bxx Operations research and management science
Full Text: DOI

References:

[1] Abdulrahman, MD; Gunasekaran, A.; Subramanian, N., Critical barriers in implementing reverse logistics in the Chinese manufacturing sectors, Int. J. Prod. Econ., 147, 460-471 (2014)
[2] Action for Planet. (2012). Top ten polluting countries. Electronic copy available at: www.actionforourplanet.com/top-10-polluting-countries/4541684868. Accessed 2 Nov 2015
[3] Agrawal, S.; Singh, RK; Murtaza, Q., A literature review and perspectives in reverse logistics, Resour. Conserv. Recycl., 97, 2015, 76-92 (2015)
[4] Amin, SH; Zhang, G., An integrated model for closed-loop supply chain configuration and supplier selection: multi-objective approach, Expert Syst. Appl., 39, 8, 6782-6791 (2012)
[5] Amini, MM; Retzlaff-Roberts, D.; Bienstock, CC, Designing a reverse logistics operation for short cycle time repair services, Int. J. Prod. Econ., 96, 3, 367-380 (2005)
[6] Amrita, K.; Garg, CP; Singh, S., Modelling the critical success factors of women entrepreneurship using fuzzy AHP framework, J. Entrep. Emerg. Econ., 10, 1, 81-116 (2018)
[7] Assavapokee, T.; Wongthatsanekorn, W., Reverse production system infrastructure design for electronic products in the state of Texas, Comput. Ind. Eng., 62, 1, 129-140 (2012)
[8] Autry, CW; Daugherty, PJ; Richey, RG, The challenge of reverse logistics in cataloger tailing, Int. J. Phys. Distrib. Logist. Manag., 31, 1, 26-37 (2001)
[9] Ayvaz, B.; Bolat, B.; Aydın, N., Stochastic reverse logistics network design for waste of electrical and electronic equipment, Resour. Conserv. Recycl., 104, 391-404 (2015)
[10] Azapagic, A., Developing a framework for sustainable development indicators for the mining and minerals industry, J. Clean. Prod., 12, 6, 639-662 (2004)
[11] Azapagic, A.; Stamford, L.; Youds, L.; Barteczko-Hibbert, C., Towards sustainable production and consumption: a novel decision-support framework integrating economic, environmental and social sustainability (DESIRES), Comput. Chem. Eng., 91, 93-103 (2016)
[12] Bai, H. (2009). Reverse supply chain coordination and design for profitable returns—an example of ink cartridge. Unpublished Master Thesis. Worcester Polytechnic Institute
[13] Bouzon, M.; Govindan, K.; Rodriguez, CMT; Campos, LM, Identification and analysis of reverse logistics barriers using fuzzy Delphi method and AHP, Resour. Conserv. Recycl., 108, 182-197 (2016)
[14] Bouzon, M.; Govindan, K.; Rodriguez, CMT, Evaluating barriers for reverse logistics implementation under a multiple stakeholders’ perspective analysis using grey decision making approach, Resour. Conserv. Recycl., 128, 315-335 (2018)
[15] Chileshe, N.; Rameezdeen, R.; Hosseini, MR; Martek, I.; Li, HX; Panjehbashi-Aghdam, P., Factors driving the implementation of reverse logistics: a quantified model for the construction industry, Waste Manag, 79, 48-57 (2018)
[16] Chiou, YC; Chen, HC; Yu, HC; Yeha, CY, Consideration factors of reverse logistics implementation—a case study of Taiwan’s electronics industry, Procedia Soc. Behav. Sci., 40, 375-381 (2012)
[17] Cooper, DR; Gutowski, TG, The environmental impacts of reuse: a review, J. Ind. Ecol., 21, 1, 38-56 (2017)
[18] Cruz-Rivera, R.; Ertel, J., Reverse logistics network design for the collection of end-of-life vehicles in Mexico, Eur. J. Oper. Res., 196, 3, 930-939 (2009) · Zbl 1176.90051
[19] De Brito, M.P. Dekker, R. (2002). Reverse logistics—a framework (No. EI 2002-38). Econometric Institute Research Papers. Retrieved from http://hdl.handle.net/1765/543
[20] De Oliveira, CR; Bernardes, AM; Gerbase, AE, Collection and recycling of electronic scrap: a worldwide overview and comparison with the Brazilian situation, Waste Manag, 32, 8, 1592-1610 (2012)
[21] Dixit, S.; Badgaiyan, AJ, Towards improved understanding of reverse logistics-Examining mediating role of return intention, Resour. Conserv. Recycl., 107, 115-128 (2016)
[22] Dowlatshahi, S., Developing a theory of reverse logistics, Interfaces, 30, 3, 143-154 (2000)
[23] Eltayeb, TK; Zailani, S.; Ramayah, T., Green supply chain initiatives among certified companies in Malaysia and environmental sustainability: investigating the outcomes, Resour. Conserv. Recycl., 55, 495-506 (2011)
[24] Ferguson, N.; Browne, J., Issues in end-of-life product recovery and reverse logistics, Prod. Plan. Control, 12, 5, 534-547 (2001)
[25] Fernández, E.; Kalcsics, J.; Nickel, S.; Ríos-Mercado, RZ, A novel maximum dispersion territory design model arising in the implementation of the WEEE- directive, J. Oper. Res. Soc., 61, 3, 503-514 (2009) · Zbl 1230.90127
[26] Van Flapper, SDP; Nunen, JAEE; Wassenhove, LNV, Managing Closed-Loop Supply Chains (2005), Berlin: Springer, Berlin
[27] Fleischmann, M.; Bloemhof-Ruwaard, JM; van der Dekker, R.; van Laan, E.; Nunen, JAEE; Wassenhove, LNV, Quantitative models for reverse logistics: a review, Eur. J. Oper. Res., 103, 1, 1-17 (1997) · Zbl 0920.90057
[28] Garg, CP, A robust hybrid decision model for evaluation and selection of the strategic alliance partner in the airline industry, J. Air Transp. Manag., 52, 55-66 (2016)
[29] Garg, CP; Sharma, A.; Goyal, G., A hybrid decision model to evaluate critical factors for successful adoption of GSCM practices under fuzzy environment, Uncertain Supply Chain Manag., 5, 1, 59-70 (2017)
[30] Garg, CP; Kashav, V., Evaluating value creating factors in greening the transportation of Global Maritime Supply Chains (GMSCs) of containerized freight, Transp. Res. Part D Transp. Environ., 73, 162-186 (2019)
[31] Garg, CP; Sharma, A., Sustainable outsourcing partner selection and evaluation using an integrated BWM-VIKOR framework, Environ. Dev. Sustain., 22, 2, 1529-1557 (2018)
[32] Govindan, K.; Azevedo, SG; Carvalho, H.; Cruz-Machado, V., Impact of supply chain management practices on sustainability, J. Clean. Prod., 85, 212-225 (2014)
[33] Grunow, M.; Gobbi, C., Designing the reverse network for WEEE in Denmark, CIRP Ann. Manuf. Technol., 58, 1, 391-394 (2009)
[34] Guide, VDR Jr; Jayaraman, V.; Linton, JD, Building contingency planning for closed-loop supply chains with product recovery, J. Oper. Manag., 21, 259-279 (2003)
[35] Guide, VDR Jr; Wassenhove, LNV, The evolution of closed-loop supply chain research, Oper. Res., 57, 1, 10-18 (2009) · Zbl 1181.90038
[36] Gunasekaran, A.; Spalanzani, A., Sustainability of manufacturing and services: investigations for research and applications, Int. J. Prod. Econ., 140, 35-47 (2011)
[37] Gupta, H.; Prakash, C.; Vishwakarma, V.; Barua, MK, Evaluating TQM adoption success factors to improve Indian MSMEs performance using fuzzy DEMATEL approach, Int. J. Product. Qual. Manag., 21, 2, 187-202 (2017)
[38] Kannan, G.; Pokharel, S.; Sasikumar, P., A hybrid approach using ISM and fuzzyTOPSIS for the selection of reverse logistics provider, Resour. Conserv. Recycl., 54, 1, 28-36 (2009)
[39] Khetriwal, DS; Kraeuchi, P.; Widmer, R., Producer responsibility for e-waste management: key issues for consideration—learning from the Swiss experience, J. Environ. Manag., 90, 1, 153-165 (2009)
[40] Kilic, HS; Cebeci, U.; Ayhan, MB, Reverse logistics system design for the waste of electrical and electronic equipment (WEEE) in Turkey, Resour. Conserv. Recycl., 95, 120-132 (2015)
[41] Kumar, D.; Garg, CP, Evaluating sustainable supply chain indicators using Fuzzy AHP: case of Indian automotive industry, Benchmarking Int. J., 24, 6, 1742-1766 (2017)
[42] Kumar, N., Guide Jr., V.D.R. Wassenhove, L.N.V. (2002). Managing Product Returns at Hewlett Packard, Teaching Case 05/2002-4940. INSEAD
[43] Kushwaha, GS; Sharma, NK, Green initiatives: a step towards sustainable development and firm’s performance in the automobile industry, J. Clean. Prod., 121, 116-129 (2016)
[44] Lai, KH; Wong, CW, Green logistics management and performance: some empirical evidence from Chinese manufacturing exporters, Omega, 40, 3, 267-282 (2012)
[45] Lambert, S.; Riopel, D.; Kader, AW, A reverse logistics decisions conceptual framework, Comput. Ind. Eng., 61, 561-581 (2012)
[46] Lau, KH; Wang, Y., Reverse logistics in the electronic industry of China: a case study, Supply Chain Manag. Int. J., 14, 6, 447-465 (2009)
[47] Luthra, S.; Garg, D.; Haleem, A., Critical success factors of green supply chain management for achieving sustainability in Indian automobile industry, Prod. Plan. Control, 26, 5, 339-362 (2015)
[48] Luthra, S.; Govindan, K.; Kannan, D.; Mangla, SK; Garg, CP, An integrated framework for sustainable supplier selection and evaluation in supply chains, J. Clean. Prod., 140, 1686-1698 (2017)
[49] Luthra, S.; Mangla, SK; Shanker, R.; Garg, CP; Jakhar, SK, Modelling critical success factors for sustainability initiatives in supply chains in Indian context using Grey-DEMATEL, Prod. Plan. Control, 29, 705-728 (2018)
[50] Mahtani, US; Garg, CP, An analysis of key factors of financial distress in airline companies in India using fuzzy AHP framework, Transp. Res. Part A Policy Pract., 117, 87-102 (2018)
[51] Mallawarachchi, H.; Karunasena, G., Electronic and electrical waste management in Sri Lanka: suggestions for national policy enhancements, Resour. Conserv. Recycl., 68, 44-53 (2012)
[52] Mittal, VK; Sangwan, KS, Development of a structural model of environmentally con-scious manufacturing drivers, J. Manuf. Technol. Manag., 25, 8, 1195-1208 (2014)
[53] Nenes, G.; Nikolaidis, Y., A multi-period model for managing used product returns, Int. J. Prod. Res., 50, 5, 1360-1376 (2012)
[54] Pokharel, S.; Mutha, A., Perspectives in reverse logistics: a review, Resour. Conserv. Recycl., 53, 175-182 (2009)
[55] Prahinski, C.; Kocabasoglu, C., Empirical research opportunities in reverse supply chains, Omega, 34, 6, 519-532 (2006)
[56] Prajapati, H.; Kant, R.; Shankar, R., Prioritizing the solutions of reverse logistics implementation to mitigate its barriers: a hybrid modified SWARA and WASPAS approach, J. Clean. Prod., 240, 118219 (2019)
[57] Prakash, C.; Barua, MK, Flexible modelling approach for evaluating reverse logistics adoption barriers using fuzzy AHP and IRP framework, Int. J. Oper. Res., 30, 2, 151-171 (2017)
[58] Prakash, C.; Barua, MK, Integration of AHP-TOPSIS method for prioritizing the solutions of reverse logistics adoption to overcome its barriers under fuzzy environment, J. Manuf. Syst., 37, 599-615 (2015)
[59] Prakash, C.; Barua, MK, An analysis of integrated robust hybrid model for third-party reverse logistics partner selection under fuzzy environment, Resour. Conserv. Recycl., 108, 63-81 (2016)
[60] Prakash, C.; Barua, MK, A combined MCDM approach for evaluation and selection of third-party reverse logistics partner for Indian electronics industry, Sustain. Prod. Consum., 7, 66-78 (2016)
[61] Prakash, C.; Barua, MK, A robust multi-criteria decision-making framework for evaluation of the airport service quality enablers for ranking the airports, J. Qual. Assur. Hosp. Tourism, 17, 3, 351-370 (2016)
[62] Prakash, C.; Barua, MK, A multi criteria decision making approach for prioritizing reverse logistics adoption barriers under fuzzy environment: case of Indian electronics industry, Glob. Bus. Rev., 17, 5, 1-18 (2016)
[63] Prakash, C.; Barua, MK; Pandya, KV, Barriers analysis for reverse logistics implementation in Indian electronics industry using fuzzy analytic hierarchy process, Procedia Soc. Behav. Sci., 189, 91-102 (2015)
[64] Price waterhouse Coopers’ report. Reverse logistics (2008). http://www.pwc.nl/nl/publicaties/reverse-logistics.html. Accessed 23 Dec 2015
[65] Qadri, MA; Haleem, A.; Arif, M., Identification of drivers for greening of supply chain in India, Int. J. Constr. Project Manag., 3, 3, 213 (2011)
[66] Quariguasi Frota Neto, J.; Wassenhove, LN, Original equipment manufacturers’ participation in take-back initiatives in Brazil, J. Ind. Ecol., 17, 2, 238-248 (2013)
[67] Rahman, S.; Subramanian, N., Factors for implementing end-of-life computer recycling operations in reverse supply chains, Int. J. Prod. Econ., 140, 1, 239-248 (2012)
[68] Rajesh, R.; Ravi, V., Modeling enablers of supply chain risk mitigation in electronic supply chains: a Grey-DEMATEL approach, Comput. Ind. Eng., 87, 126-139 (2015)
[69] Ravi, V.; Shankar, R., Analysis of interactions among the barriers of reverse logistics, Technol. Forecast. Soc., 72, 8, 1011-1029 (2004)
[70] Ravi, V.; Shankar, R.; Tiwari, MK, Analyzing alternatives in reverse logistics for end-of-life computers: ANP and balanced scorecard approach, Comput. Ind. Eng., 48, 2, 327-356 (2005)
[71] Reddy, RN, Producing abjection: E-waste improvement schemes and informal recyclers of Bangalore, Geoforum, 62, 166-174 (2015)
[72] Sarkis, J., A boundaries and flows perspective of green supply chain management, Supply Chain Manag. Int. J., 17, 2, 202-216 (2012)
[73] Sasikumar, P.; Haq, AN, Integration of closed loop distribution supply chain network and 3PRLP selection for the case of battery recycling, Int. J. Prod. Res., 49, 11, 3363-3385 (2010)
[74] Sengar, VS; Garg, CP; Raju, TB, Assessment of sustainable initiatives in Indian ports using AHP framework, Int. J. Bus. Excell., 16, 1, 110-126 (2018)
[75] Shih, L-H, Reverse logistics system planning for recycling electrical appliances and computers in Taiwan, Resour. Conserv. Recycl., 32, 1, 55-72 (2001)
[76] Simão, LE; Gonçalves, MB; Rodriguez, CMT, An approach to assess logistics and ecological supply chain performance using postponement strategies, Ecol. Ind., 63, 398-408 (2016)
[77] Sirisawat, P.; Kiatcharoenpol, T., Fuzzy AHP-TOPSIS approaches to prioritizing solutions for reverse logistics barriers, Comput. Ind. Eng., 117, 303-318 (2018)
[78] Srivastava, SK; Srivastava, RK, Managing product returns for reverse logistics, Int. J. Phys. Distrib. Logist. Manag., 36, 7, 524-546 (2006)
[79] Srivastava, SK, Network design for reverse logistics, Int. J. Manag. Sci., 36, 4, 535-548 (2008)
[80] Tan, Q.; Zeng, X.; Ijomah, WL; Zheng, L.; Li, J., Status of end-of-life electronic product remanufacturing in China, J. Ind. Ecol., 18, 4, 577-587 (2014)
[81] Temur, GT; Balcilar, M.; Bolat, B., A fuzzy expert system design for forecasting return quantity in reverse logistics network, J. Enterp. Inf. Manag., 27, 3, 316-328 (2014)
[82] Toktay, B.; Wein, L.; Stefanos, Z., Inventory management of remanufacturable products, Manag. Sci., 46, 1412-1426 (2000) · Zbl 1232.90296
[83] Tsai, WH; Chou, WC; Hsu, W., The sustainability balanced scorecard as a framework for selecting socially responsible investment: an effective MCDM model, J. Oper. Res. Soc., 60, 10, 1396-1410 (2008)
[84] Vishwakarma, V.; Prakash, C.; Barua, MK, A fuzzy-based multi criteria decision making approach for supply chain risk assessment in Indian pharmaceutical industry, Int. J. Logist. Syst. Manag., 25, 2, 245-265 (2016)
[85] Wang, H.; Jiang, Z.; Zhang, H.; Wang, Y.; Yang, Y.; Li, Y., An integrated MCDM approach considering demands-matching for reverse logistics, J. Clean. Prod., 208, 199-210 (2019)
[86] Wath, SB; Vaidya, AN; Dutt, PS; Chakrabarti, T., A roadmap for development of sustainable E-waste management system in India, Sci. Total Environ., 409, 1, 19-32 (2010)
[87] Xia, X.; Govindan, K.; Zhu, Q., Analyzing internal barriers for automotive parts remanufacturers in China using grey-DEMATEL approach, J. Clean. Prod., 87, 811-825 (2015)
[88] Ylä-Mella, J.; Poikela, K.; Lehtinen, U.; Keiski, RL; Pongrácz, E., Implementation of Waste Electrical and Electronic Equipment Directive in Finland: evaluation of the collection network and challenges of the effective WEEE management, Resour. Conserv. Recycl., 86, 38-46 (2014)
[89] Yu, J.; Williams, E.; Ju, M.; Shao, C., Managing e-waste in China: policies, pilot projects and alternative approaches, Resour. Conserv. Recycl., 54, 11, 991-999 (2010)
[90] Zhou, Y.; Wang, S., Generic model of reverse logistics network design, J. Transp. Syst. Eng. Inf. Technol., 8, 3, 71-78 (2008)
[91] Zhu, Q.; Sarkis, J., An inter-sectoral comparison of green supply chain management in China: drivers and practices, J. Clean. Prod., 14, 5, 472-486 (2006)
[92] Zikopoulos, C.; Tagaras, G., Impact of uncertainty in the quality of returns onthe profitability of a single-period refurbishing operation, Eur. J. Oper. Res., 182, 1, 205-225 (2007) · Zbl 1128.90008
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.