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Fatigue, personnel scheduling and operations: review and research opportunities. (English) Zbl 1490.90183

Summary: Work-related fatigue is a multidimensional phenomenon with significant effects on operational performance. Our work focuses on how the literature of operational research measures and models fatigue and its effects on operational performance, and on how it mitigates those effects. We position the literature of fatigue relative to that of work-rest scheduling, shift scheduling, multitasking, ergonomics, deterioration scheduling, and occupational health and safety. We classify the literature of fatigue across multiple dimensions: the methods by which it is identified and measured; the operational research methodology applied for fatigue prevention or mitigation; the flexibility allowed in work-rest scheduling and in shift scheduling; applications within manufacturing, construction, transportation, hospitals, and services; and the extent to which real data is used and results are implemented. Our work shows that operational research has contributed numerous effective algorithms and heuristic solution procedures to fatigue mitigation. We also identify several important research directions for operational research, to promote its broader and more effective use to identify and mitigate the effects of fatigue on operational performance.

MSC:

90B70 Theory of organizations, manpower planning in operations research
90B35 Deterministic scheduling theory in operations research
90-02 Research exposition (monographs, survey articles) pertaining to operations research and mathematical programming

References:

[1] Adler, R. F.; Benbunan-Fich, R., Self-interruptions in discretionary multitasking, Computers in Human Behavior, 29, 4, 1441-1449 (2013)
[2] Andersen, P. K.; Gill, R. D., Cox’s regression model for counting processes: A large sample study, The Annals of Statistics, 10, 4, 1100-1120 (1982) · Zbl 0526.62026
[3] Aryal, A.; Ghahramani, A.; Becerik, G. B., Monitoring fatigue in construction workers using physiological measurements, Automation in Construction, 82, 5, 154-165 (2017)
[4] Atchley, P.; Chan, M., Potential benefits and costs of concurrent task engagement to maintain vigilance: A driving simulator investigation, Human Factors, 53, 1, 3-12 (2011)
[5] Aykin, T., A comparative evaluation of modeling approaches to the labor shift scheduling problem, European Journal of Operational Research, 125, 2, 381-397 (2000) · Zbl 0971.90025
[6] Barker, L. M.; Nussbaum, M. A., Fatigue, performance and the work environment: A survey of registered nurses, Journal of Advanced Nursing, 67, 6, 1370-1382 (2011)
[7] Barnhart, C.; Cohn, A. M.; Johnson, E. L.; Klabjan, D.; Nemhauser, G. L., Airline crew scheduling, Handbook of Transportation Science, 517-560 (2003)
[8] Battini, D.; Delorme, X.; Dolgui, A.; Persona, A.; Sgarbossa, F., Ergonomics in assembly line balancing based on energy expenditure: a multi-objective model, International Journal of Production Research, 54, 3, 824-845 (2016)
[9] Baucells, M.; Zhao, L., It is time to get some rest, Management Science, 65, 4, 1717-1734 (2019)
[10] Bechtold, S. E.; Janaro, R. E.; Sumners, D. W.L., Maximization of labor productivity through optimal rest-break schedules, Management Science, 30, 12, 1442-1458 (1984) · Zbl 0547.90040
[11] Bendak, S.; Rashid, H. S.J., Fatigue in aviation: A systematic review of the literature, International Journal of Industrial Egonomics, 76 (2020)
[12] Bowden, Z. E.; Ragsdale, C. T., The truck driver scheduling problem with fatigue monitoring, Decision Support Systems, 110, 20-31 (2018)
[13] Bowers, M.; Noon, C.; Wu, W., Neonatal physician scheduling at the University of Tennessee Medical Center, Interfaces, 46, 2, 168-182 (2016)
[14] Browne, S.; Yechiali, U., Scheduling deteriorating jobs on a single processor, Operations Research, 38, 495-498 (1990) · Zbl 0703.90051
[15] Brucker, P.; Burke, E. K.; Curtois, T.; Qu, R.; Vanden Berghe, G., A shift sequence based approach for nurse scheduling and a new benchmark dataset, Journal of Heuristics, 16, 4, 559-573 (2010) · Zbl 1230.90121
[16] Brunner, J. O.; Bard, J. F., Flexible weekly tour scheduling for postal service workers using branch and price, Journal of Scheduling, 16, 1, 129-149 (2013) · Zbl 1297.90035
[17] Brunner, J. O.; Bard, J. F.; Kolisch, R., Flexible shift scheduling of physicians, Health Care Management Science, 12, 3, 285-305 (2009)
[18] Burke, E. K.; Curtois, T.; Qu, R.; Vanden Berghe, G., A time predefined variable depth search for nurse rostering, INFORMS Journal on Computing, 25, 3, 411-419 (2013)
[19] Calzavara, M.; Persona, A.; Sgarbossa, F., A device to monitor fatigue level in order-picking, Industrial Management & Data Systems, 118, 4, 714-727 (2018)
[20] Calzavara, M.; Persona, A.; Sgarbossa, F.; Visentin, V., A model for rest allowance estimation to improve tasks assignment to operators, International Journal of Production Research, 57, 948-962 (2019)
[21] Caruso, C., Reducing risks to women linked to shift work, long work hours, and related workplace sleep and fatigue issues, Journal of Women’s Health, 24, 789-794 (2015)
[22] Chan, A. P.C.; Yi, W.; Wong, D. P.; Yam, M. C.H.; Chan, D. W.M., Determining an optimal recovery time for construction rebar workers after working to exhaustion in a hot and humid environment, Building and Environment, 58, 4, 163-171 (2012)
[23] Chang, Y.; Yang, H.; Hsu, W., Effects of work shifts on fatigue levels of air traffic controllers, Journal of Air Transport Management, 76, 1-9 (2019)
[24] Chavaillaz, A.; Schwaninger, A.; Michel, S.; Sauer, J., Work design for airport security officers: effects of rest break schedules and adaptable automation, Applied Ergonomics, 79, 66-75 (2019)
[25] Chen, C.; Xie, Y., The impacts of multiple rest-break periods on commercial truck driver’s crash risk, Journal of Safety Research, 48, 87-93 (2014)
[26] Chen, C.; Xie, Y., Modeling the safety impacts of driving hours and rest breaks on truckdrivers considering time-dependent covariates, Journal of Safety Research, 51, 57-63 (2014)
[27] Cheng, M.; Huang, K.; Hutomo, M., Multiobjective dynamic-guiding PSO for optimizing work shift schedules, Journal of Construction Engineering and Management, 144, 9, 04018089 (2018)
[28] Chowdhury, S. K.; Nimbarte, A. D., Effect of fatigue on the stationarity of surface electromyography signals, International Journal of Industrial Ergonomics, 61, 4, 120-125 (2017)
[29] Cox, D. R., Regression models and life-tables, Journal of the Royal Statistical Society: Series B (Methodological), 34, 2, 187-202 (1972)
[30] Cuevas, R.; Ferrer, J. C.; Klapp, M.; Muñoz, J., A mixed integer programming approach to multi-skilled workforce scheduling, Journal of Scheduling, 19, 1, 91-106 (2016) · Zbl 1341.90040
[31] Dall’Ora, C.; Ball, J.; Recio-Saucedo, A.; Griffiths, P., Characteristics of shift work and their impact on employee performance and wellbeing: A literature review, International Journal of Nursing Studies, 57, 12-27 (2016)
[32] Dawson, D.; Searle, A. K.; Paterson, J. L., Look before you (s)leep: Evaluating the use of fatigue detection technologies within a fatigue risk management system for the road transport industry, Sleep Medicine Reviews, 18, 2, 141-152 (2014)
[33] Deery, S.; Iverson, R.; Walsh, J., Work relationships in telephone call centres: Understanding emotional exhaustion and employee withdrawal, Journal of Management Studies, 39, 4, 471-496 (2002)
[34] Delasay, M.; Ingolfsson, A.; Kolfal, B., Modeling load and overwork effects in queueing systems with adaptive service rates, Operations Research, 64, 4, 867-885 (2016) · Zbl 1348.90194
[35] Delasay, M.; Ingolfsson, A.; Kolfal, B.; Schultz, K., Load effect on service times, European Journal of Operational Research, 279, 3, 673-686 (2019) · Zbl 1430.90190
[36] Denyer, D.; Tranfield, D., Using qualitative research synthesis to build an actionable knowledge base, Management Decision, 44, 2, 213-227 (2006)
[37] Dietz, D. C., Practical scheduling for call center operations, Omega, 39, 5, 550-557 (2011)
[38] Dode, P.; Greig, M.; Zolfaghari, S.; Neumann, W. P., Integrating human factors into discrete event simulation: a proactive approach to simultaneously design for system performance and employees’ well being, International Journal of Production Research, 54, 10, 3105-3117 (2016)
[39] Dong, J.; Feldman, P.; Yom-Tov, G. B., Service systems with slowdowns: potential failures and proposed solutions, Operations Research, 63, 2, 305-324 (2015) · Zbl 1329.90037
[40] Eilon, S., On a mechanistic approach to fatigue and rest periods, International Journal of Production Research, 3, 327-332 (1964)
[41] El Ahrache, K.; Imbeau, D., Comparison of rest allowance models for static muscular work, International Journal of Industrial Ergonomics, 39, 1, 73-80 (2009)
[42] Ernst, A.; Jiang, H.; Krishnamoorthy, M.; Owens, B.; Sier, D., An annotated bibliography of personnel scheduling and rostering, Annals of Operations Research, 127, 21-144 (2004) · Zbl 1090.90078
[43] Fang, D.; Jiang, Z.; Zhang, M.; Wang, H., An experimental method to study the effect of fatigue on construction workers safety performance, Safety Science, 73, 80-91 (2015)
[44] Ferjani, A.; Ammar, A.; Pierreval, H.; Elkosantini, S., A simulation-optimization based heuristic for the online assignment of multi-skilled workers subjected to fatigue in manufacturing systems, Computers & Industrial Engineering, 112, 663-674 (2017)
[45] Finco, S.; Battini, D.; Delorme, X.; Persona, A.; Sgarbossa, F., Workers’ rest allowance and smoothing of the workload in assembly lines, International Journal of Production Research, 1-16 (2019)
[46] Fu, R.; Wang, H.; Zhao, W., Dynamic driver fatigue detection using hidden Markov model in real driving condition, Expert Systems with Applications, 63, 9, 397-411 (2016)
[47] Garg, A.; Chaffin, D. B.; Herrin, G. D., Prediction of metabolic rates for manual materials handling jobs, American Industrial Hygiene Association Journal, 39, 8, 661-674 (1978)
[48] Gawron, V. J.; French, J.; Funke, D., An overview of fatigue, Human Factors in Transportation, 581-595 (2001)
[49] Geiger-Brown, J.; Rogers, V. E.; Trinkoff, A. M.; Kane, R. L.; Bausell, R. B.; Scharf, S. M., Sleep, sleepiness, fatigue, and performance of 12-hour-shift nurses, Chronobiology International, 29, 2, 211-219 (2012)
[50] Gentzler, G. L.; Khalil, T. M.; Sivazlian, B. D., Quantitative models for optimal rest period scheduling, Omega - International Journal of Management Science, 5, 2, 215-220 (1977)
[51] Gershon, P.; Ronen, A.; Oron-Gilad, T.; Shinar, D., The effects of an interactive cognitive task (ICT) in suppressing fatigue symptoms in driving, Transportation Research Part F: Traffic Psychology and Behaviour, 12, 1, 21-28 (2009)
[52] Gifkins, J., Johnston, A., Loudoun, R., & Troth, A.. Fatigue and recovery in shiftworking nurses: A scoping literature review. to appear, International Journal of Nursing Studies,.
[53] Glock, C. H.; Grosse, E. H.; Kim, T.; Neumann, W. P.; Sobhani, A., An integrated cost and worker fatigue evaluation model of a packaging process, International Journal of Production Economics, 207, 107-124 (2019)
[54] Gunawan, A.; Lau, H. C., Master physician scheduling problem, Journal of the Operational Research Society, 64, 3, 410-425 (2013)
[55] Hall, N. G.; Leung, J. Y.-T.; Li, C.-L., The effects of multitasking on operations scheduling, Production and Operations Management, 24, 8, 1248-1265 (2015)
[56] Hall, N. G.; Leung, J. Y.-T.; Li, C.-L., Multitasking via alternate and shared processing: Algorithms and complexity, Discrete Applied Mathematics, 208, 1, 41-58 (2016) · Zbl 1343.90035
[57] Hallbeck, M. S.; Lowndes, B. R.; Bingener, J.; Abdelrahman, A. M.; Yu, D.; Bartley, A., The impact of intraoperative microbreaks with exercises on surgeons: A multi-center cohort study, Applied Ergonomics, 60, 334-341 (2017)
[58] Han, K.; Trinkoff, A. M.; Geiger-Brown, J., Factors associated with work-related fatigue and recovery in hospital nurses working 12-hour shifts, Workplace Health & Safety, 62, 10, 409-414 (2014)
[59] Hong, Y.-C.; Cohn, A.; Gorga, S.; O‘Brien, E.; Pozehl, W.; Zank, J., Using optimization techniques and multidisciplinary collaboration to solve a challenging real-world residency scheduling problem, INFORMS Journal on Applied Analytics, 49, 3, 201-212 (2019)
[60] Hsie, M.; Hsiao, W.; Cheng, T.; Chen, H., A model used in creating a work-rest schedule for laborers, Automation in Construction, 18, 6, 762-769 (2009)
[61] Jaber, M.; Neumann, W., Modelling worker fatigue and recovery in dual-resource constrained systems, Computers & Industrial Engineering, 59, 1, 75-84 (2010)
[62] Jaber, M. Y.; Givi, Z.; Neumann, W. P., Incorporating human fatigue and recovery into the learning-forgetting process, Applied Mathematical Modelling, 37, 12, 7287-7299 (2013) · Zbl 1426.90106
[63] Jamshidi, R., Stochastic human fatigue modeling in production systems, Journal of Industrial and Systems Engineering, 12, 1, 270-283 (2019)
[64] Jap, B. T.; Lal, S.; Fischer, P.; Bekiaris, E., Using EEG spectral components to assess algorithms for detecting fatigue, Expert Systems with Applications, 36, 2, 2352-2359 (2009)
[65] Joo, C. M.; Kim, B. S., Genetic algorithms for single machine scheduling with time-dependent deterioration and rate-modifying activities, Expert Systems with Applications, 40, 8, 3036-3043 (2013)
[66] Kc, D. S.; Terwiesch, C., Impact of workload on service time and patient safety: An econometric analysis of hospital operations, Management Science, 55, 9, 1486-1498 (2009)
[67] Kok, A. L.; Meyer, C. M.; Kopfer, H.; Schutten, J. M.J., A dynamic programming heuristic for the vehicle routing problem with time windows and European community social legislation, Transportation Science, 44, 4, 442-454 (2010)
[68] Konz, S., Work/rest: Part i-guidelines for the practitioner, International Journal of Industrial Ergonomics, 22, 1, 67-71 (1998)
[69] Krzeminski, M., The scheduling of construction work under the assumption of brigade multitasking, Procedia Engineering, 208, 63-68, 67-71 (2017)
[70] Lerman, S.; Eskin, E.; Flower, D.; George, E.; Gerson, B.; Hartenbaum, N.; Moore-Ede, M., Fatigue risk management in the workplace, Journal of Occupational and Environmental Medicine, 54, 231-258 (2012)
[71] Li, J.; Wang, H.; Umer, W.; Fu, H., Evaluating the impact of mental fatigue on construction equipment operators’ ability to detect hazards using wearable eye-tracking technology, Automation in Construction, 105, 1-14 (2019)
[72] Li, K.; Xu, S.; Fu, H., Work-break scheduling with real-time fatigue effect and recovery, International Journal of Production Research, 1-14 (2019)
[73] Li, X.; Chow, K. H.; Zhu, Y.; Lin, Y., Evaluating the impacts of high-temperature outdoor working environments on construction labor productivity in China: A case study of rebar workers, Building and Environment, 95, 5, 42-52 (2016)
[74] Lin, R.; Sir, M. Y.; Sisikoglu, E.; Pasupathy, K.; Steege, L. M., Optimal nurse scheduling based on quantitative models of work-related fatigue, IIE Transactions on Healthcare Systems Engineering, 3, 1, 23-38 (2013)
[75] Lodree, E. J.; Geiger, C. D., A note on the optimal sequence position for a rate-modifying activity under simple linear deterioration, European Journal of Operational Research, 201, 2, 644-648 (2010) · Zbl 1192.90076
[76] Lodree, E. J.; Geiger, C. D.; Jiang, X., Taxonomy for integrating scheduling theory and human factors: Review and research opportunities, International Journal of Industrial Ergonomics, 39, 1, 39-51 (2009)
[77] Lombardi, D. A.; Folkard, S.; Willetts, J. L.; Smith, G. S., Daily sleep, weekly working hours, and risk of work-related injury: US national health interview survey (2004-2008), Chronobiology International, 27, 5, 1013-1030 (2010)
[78] Lu, J. G.; Akinola, M.; Mason, M. F., Switching on creativity: Task switching can increase creativity by reducing cognitive fixation, Organizational Behavior and Human Decision Processes, 139, 63-75 (2017)
[79] Ma, L.; Chablat, D.; Bennis, F.; Zhang, W., A new simple dynamic muscle fatigue model and its validation, International Journal of Industrial Ergonomics, 39, 1, 211-220 (2009)
[80] Ma, L.; Zhang, W.; Wu, S.; Zhang, Z., A new simple local muscle recovery model and its theoretical and experimental validation, International Journal of Occupational Safety and Ergonomics, 21, 1, 86-93 (2015)
[81] Martin, D. M., Nurse fatigue and shift length: A pilot study, Nursing Economics, 33, 2, 81-87 (2015)
[82] Matthews, R. W.; Ferguson, S. A.; Zhou, X.; Sargent, C.; Darwent, D.; Kennaway, D. J.; Roach, G. D., Time-of-day mediates the influences of extended wake and sleep restriction on simulated driving, Chronobiology International, 29, 5, 572-579 (2012)
[83] Michalos, G.; Makris, S.; Chryssolouris, G., The effect of job rotation during assembly on the quality of final product, CIRP Journal of Manufacturing Science and Technology, 6, 3, 187-197 (2013)
[84] Miklos-Thal, J.; Ullrich, H., Career prospects and effort incentives: Evidence from professional soccer, Management Science, 62, 6, 1645-1667 (2016)
[85] Monteiro, T. G.; Skourup, C.; Zhang, H., Using EEG for mental fatigue assessment: A comprehensive look into the current state of the art, IEEE Transactions on Human-Machine Systems, 49, 6, 599-610 (2019)
[86] Mossa, G.; Boenzi, F.; Digiesi, S.; Mummolo, G.; Romano, V., Productivity and ergonomic risk in human based production systems: A job-rotation scheduling model, International Journal of Production Economics, 171, 4, 471-477 (2016)
[87] Mountstephen, A.; Sharpe, M., Chronic fatigue syndrome and occupational health, Occupational Medicine, 47, 4, 217-227 (1997)
[88] NSC (2018). How you could pay the price for exhausted employees. Report, Available at:https://www.construction business owner.com/cost-fatigue.
[89] NSC (2019). What is fatigue costing your company. Report, Available at:https://www.nsc.org/work-safety/safety-topics/fatigue/cost.
[90] Olds, D. M.; Clarke, S. P., The effect of work hours on adverse events and errors in health care, Journal of Safety Research, 41, 2, 153-162 (2010)
[91] Otto, A.; Battaia, O., Reducing physical ergonomic risks at assembly lines by line balancing and job rotation: A survey, Computers & Industrial Engineering, 111, 467-480 (2019)
[92] Ozturkoglu, Y. Y.; Bulfin, R. L., Scheduling jobs to consider physiological factors, Human Factors and Ergonomics in Manufacturing & Service Industries, 22, 2, 113-120 (2012)
[93] Pasquale, V. D.; Fruggiero, F.; Iannone, R.; Miranda, S., A model for break scheduling assessment in manufacturing systems, Computers & Industrial Engineering, 111, 563-580 (2017)
[94] Perez, J.; de Looze, M. P.; Bosch, T.; Neumann, W., Discrete event simulation as an ergonomic tool to predict workload exposures during systems design, International Journal of Industrial Ergonomics, 44, 2, 298-306 (2014)
[95] Pisarski, A.; Barbour, J. P., What roles do team climate, roster control, and work life conflict play in shiftworkers’ fatigue longitudinally?, Applied Ergonomics, 45, 3, 773-779 (2014)
[96] Plichta, S., & Kelvin, E. (2013). Munro’s statistical methods for health care research. Technical Report, http://dl.umsu.ac.ir/handle/Hannan/6048.
[97] Rahimian, E.; Akartunal, K.; Levine, J., A hybrid integer and constraint programming approach to solve nurse rostering problems, Computers & Operations Research, 44, 83-94 (2017) · Zbl 1391.90362
[98] Rancourt, M.-E.; Cordeau, J.-F.; Laporte, G., Long-haul vehicle routing and scheduling with working hour rules, Transportation Science, 47, 1, 81-107 (2013)
[99] Rekik, M.; Cordeau, J.; Soumis, F., Implicit shift scheduling with multiple breaks and work stretch duration restrictions, Journal of Scheduling, 13, 1, 49-75 (2010) · Zbl 1185.90091
[100] Roach, G. D.; Petrilli, R. M.A.; Dawson, D.; Lamond, N., Impact of layover length on sleep, subjective fatigue levels, and sustained attention of long-haul airline pilots, Chronobiology International, 29, 5, 580-586 (2012)
[101] Roets, B.; Christiaens, J., Shift work, fatigue, and human error: An empirical analysis of railway traffic control, Journal of Transportation Safety & Security, 11, 2, 207-224 (2019)
[102] Rosekind, M. R.; Gregory, K. B.; Mallis, M. M.; Brandt, S. L.; Seal, B.; Lerner, D., The cost of poor sleep: Workplace productivity loss and associated costs, Journal of Occupational and Environmental Medicine, 52, 1, 91-98 (2010)
[103] Ryvkin, D., Fatigue in dynamic tournaments, Journal of Economics & Management Strategy, 20, 4, 1011-1041 (2011)
[104] Seo, J.; Lee, S.; Seo, J., Simulation-based assessment of workers muscle fatigue and its impact on construction operations, Journal of Construction Engineering and Management, 142, 11, 04016063 (2016)
[105] Shuib, A.; Kamarudin, F. I., Solving shift scheduling problem with days-off preference for power station workers using binary integer goal programming model, Annals of Operations Research, 272, 1, 355-372 (2019) · Zbl 1434.90069
[106] Sobhani, A.; Wahab, M.; Neumann, W., Incorporating human factors-related performance variation in optimizing a serial system, European Journal of Operational Research, 257, 1, 69-83 (2017) · Zbl 1394.90236
[107] Steege, L. M.; Pasupathy, K. S.; Drake, D. A., A work systems analysis approach to understanding fatigue in hospital nurses, Ergonomics, 61, 1, 148-161 (2018)
[108] Stolletz, R.; Brunner, J. O., Fair optimization of fortnightly physician schedules with flexible shifts, European Journal of Operational Research, 219, 3, 622-629 (2012) · Zbl 1253.90129
[109] Sun, X.; Geng, X.-N., Single-machine scheduling with deteriorating effects and machine maintenance, International Journal of Production Research, 57, 10, 3186-3199 (2019)
[110] Sun, X.; Whitt, W., Creating work breaks from available idleness, Manufacturing & Service Operations Management, 20, 4, 721-736 (2018)
[111] Tan, T. F.; Netessine, S., When does the devil make work? An empirical study of the impact of workload on worker productivity, Management Science, 60, 6, 1574-1593 (2014)
[112] Techera, U.; Hallowell, M.; Littlejohn, R.; Rajendran, S., Measuring and predicting fatigue in construction: Empirical field study, Journal of Construction Engineering and Management, 144, 8, 04018062 (2018)
[113] Tiacci, L., The problem of assigning rest times to reduce physical ergonomic risk at assembly lines, IFAC-PapersOnLine, 51, 11, 692-697 (2018)
[114] Todovic, D.; Makajic-Nikolic, D.; Kostic-Stankovic, M., Police officer scheduling using goal programming, Policing: An International Journal of Police Strategies & Management, 38, 2, 295-313 (2015)
[115] Unal, A. B.; Steg, L.; Epstude, K., The influence of music on mental effort and driving performance, Accident Analysis & Prevention, 48, 271-278 (2012)
[116] Van Den Bergh, J.; Belien, J.; De Bruecker, P.; Demeluemeester, E.; De Boeck, L., Personnel scheduling: A literature review, European Journal of Operational Research, 226, 3, 367-385 (2013) · Zbl 1292.90001
[117] Van Dongen, H. P.A., Evidence-based guidelines for fatigue risk management in emergency medical services: A significant step forward and a model for other high-risk industries, Prehospital Emergency Care, 22, 1, 110-112 (2018)
[118] Van Huele, C.; Vanhoucke, M., Analysis of the integration of the physician rostering problem and the surgery scheduling problem, Journal of Medical Systems, 38, 6, 43 (2014)
[119] Veldhoven, S. V.; Post, G.; van der Veen, E.; Curtois, T., An assessment of a days off decomposition approach to personnel shift scheduling, Annals of Operations Research, 239, 1, 207-223 (2016) · Zbl 1336.90043
[120] Visentin, V.; Sgarbossa, F.; Calzavara, M.; Persona, A., Fatigue accumulation in the assignment of manual material handling activities to operators, IFAC-PapersOnLine, 51, 11, 826-831 (2018)
[121] Voelker, I.; Kirchner, C.; Bock, O. L., On the relationship between subjective and objective measures of fatigue, Ergonomics (2016)
[122] Wang, R.; Jouini, O.; Benjaafar, S., Service systems with finite and heterogeneous customer arrivals, Manufacturing & Service Operations Management, 16, 3, 365-380 (2014)
[123] Wang, T.; Ke, G., Fatigue minimization work shift scheduling for air traffic controllers, International Journal of Automation and Smart Technology, 3, 2, 91-99 (2013)
[124] Wang, T. C.; Liu, C. C., Optimal work shift scheduling with fatigue minimization and day off preferences, Mathematical Problems in Engineering, 1-8 (2014)
[125] Warner, M. D.; Prawda, J., A mathematical programming model for scheduling nursing personnel in a hospital, Management Science, 19, 4, 411-422 (1972) · Zbl 0246.90022
[126] Williamson, A.; Lombardi, D. A.; Folkard, S.; Stuttse, J.; Courtney, T. K.; Connor, J. L., The link between fatigue and safety, Accident Analysis & Prevention, 43, 498-515 (2011)
[127] Yang, G.; Lin, Y.; Bhattacharya, P., A driver fatigue recognition model based on information fusion and dynamic Bayesian network, Information Sciences, 180, 10, 1942-1954 (2010)
[128] Ye, T.; Pan, X., A convenient prediction model for complete recovery time after exhaustion in high-intensity work, Ergonomics, 58, 8, 1433-1444 (2015)
[129] Yi, W.; Chan, A., Optimizing work-rest schedule for construction rebar workers in hot and humid environment, Building and Environment, 61, 104-113 (2013)
[130] Yi, W.; Chan, A.; Wang, X.; Wang, J., Development of an early-warning system for site work in hot and humid environments: A case study, Automation in Construction, 62, 101-113 (2016)
[131] Yildi, B. C.; Gzara, F.; Elhedhli, S., Airline crew pairing with fatigue: Modeling and analysis, Transportation Research Part C: Emerging Technologies, 74, 99-112 (2017)
[132] Yu, F.; Somerville, D.; King, A., Exploring the impact of 12-hour shifts on nurse fatigue in intensive care units, Applied Nursing Research, 50, 1-7 (2019)
[133] Yu, Y.; Li, H.; Yang, X.; Kong, L.; Luo, X., An automatic and non-invasive physical fatigue assessment method for construction workers, Automation in Construction, 103, 1-12 (2019)
[134] Zhan, D.; Ward, A. R., Staffing, routing, and payment to trade off speed and quality in large service systems, Operations Research, 67, 6, 1738-1751 (2019) · Zbl 1444.90048
[135] Zhang, L.; Diraneyya, M. M.; Ryu, J.; Haas, C. T.; Abdel-Rahman, E., Automated monitoring of physical fatigue using jerk, Proceedings of the International Symposium on Automation and Robotics in Construction, 36, 989-997 (2019)
[136] Zhang, M.; Sparer, E. H.; Murphy, L. A.; Dennerlein, J. T.; Fang, D.; Katz, J. N.; Caban-Martinez, A. J., Development and validation of a fatigue assessment scale for U.S. construction workers, American Journal of Industrial Medicine, 58, 2, 220-228 (2015)
[137] Zhang, Z.; Li, K. W.; Zhang, W.; Ma, L.; Chen, Z., Muscular fatigue and maximum endurance time assessment for male and female industrial workers, International Journal of Industrial Ergonomics, 44, 2, 292-297 (2014)
[138] Zhao, C.; Zhao, M.; Liu, J.; Zheng, C., Electroencephalogram and electrocardiograph assessment of mental fatigue in a driving simulator, Accident Analysis & Prevention, 45, 83-90 (2012)
[139] Zhao, X.; Liu, N.; Zhao, S.; Wu, J.; Zhang, K.; Zhang, R., Research on the work-rest scheduling in the manual order picking systems to consider human factors, Journal of Systems Science and Systems Engineering, 28, 3, 344-355 (2019)
[140] Zhu, Z.; Zheng, F.; Chu, C., Multitasking scheduling problems with a rate-modifying activity, International Journal of Production Research, 55, 1, 296-312 (2017)
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.