Abstract
Warehouses are crucial for supply chain management and the success of businesses in production and logistics systems. The order picking (OP) system plays a vital role in achieving short lead times and high customer satisfaction and order pickers are essential to achieve flexibility in the OP system due to their cognitive and motor skills.
However, manual order picking is time-consuming and accounts for approximately 50% of overall operating costs in warehousing. It is important to consider the human factors (HF) aspects of the order picker to avoid deviations from expected performance outcomes and reduce the risk of errors that could cause delays and financial losses. Negligence of HF could also lead to musculoskeletal disorders in the order picker.
This study aims to empirically show the impact of such decisions on the HF aspects of order pickers. The study uses case studies and survey-based empirical data to analyze the impact of decisions on the HF aspects of order pickers. The findings suggest that consideration of HF is crucial for the success of the OP system and the wellbeing of order pickers. The study highlights the need for further research on HF aspects in the OP system and provides insights for decision-makers to optimize the performance of the system.
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References
De Koster, R., Le-Duc, T., Roodbergen, K.J.: Design and control of warehouse order picking: A literature review. Eur. J. Oper. Res. 182(2), 481–501 (2007)
Grosse, E.H.: Application of supportive and substitutive technologies in manual warehouse order picking: a content analysis. Int. J. Prod. Res. 1–20 (2023)
Grosse, E.H., Glock, C.H., Neumann, W.P.: Human factors in order picking: a content analysis of the literature. Int. J. Prod. Res. 55(5), 1260–1276 (2017)
Setayesh, A., Grosse, E.H., Glock, C.H., Neumann, W.P.: Determining the source of human-system errors in manual order picking with respect to human factors. Int. J. Prod. Res. 60(20), 6350–6372 (2022)
Vijayakumar, V., Sgarbossa, F., Neumann, W.P., Sobhani, A.: Framework for incorporating human factors into production and logistics systems. Int. J. Prod. Res. 60(2), 402–419 (2022)
Davarzani, H., Norrman, A.: Toward a relevant agenda for warehousing research: literature review and practitioners’ input. Logist. Res. 8, 1–18 (2015)
Boysen, N., De Koster, R., Weidinger, F.: Warehousing in the e-commerce era: a survey. Eur. J. Oper. Res. 277(2), 396–411 (2019)
Diefenbach, H., Glock, C.H.: Ergonomic and economic optimization of layout and item assignment of a U-shaped order picking zone. Comput. Ind. Eng. 138, 106094 (2019)
Zangaro, F., Battini, D., Calzavara, M., Persona, A., Sgarbossa, F.: A model to optimize the reference storage assignment in a supermarket to expedite the part feeding activities. IFAC-PapersOnLine 51(11), 1470–1475 (2018)
Battini, D., Glock, C.H., Grosse, E.H., Persona, A., Sgarbossa, F.: Human energy expenditure in order picking storage assignment: a bi-objective method. Comput. Ind. Eng. 94, 147–157 (2016)
Grosse, E.H., Glock, C.H., Jaber, M.Y.: The effect of worker learning and forgetting on storage reassignment decisions in order picking systems. Comput. Ind. Eng. 66(4), 653–662 (2013)
Marvel, J.H., Shell, R.L., Weckman, G.R.: An application of heuristic algorithms for determining inventory location in a distribution warehouse. Int. J. Ind. Eng. 8, 5–15 (2001)
Loske, D.: Empirical evidence on human learning and work characteristics in the transition to automated order picking. J. Bus. Logist. 43(3), 302–342 (2022)
Rieder, M., Bonini, M., Verbeet, R., Urru, A., Bartneck, N., Echelmeyer: Evaluation of human-robot order picking systems considering the evolution of object detection. In 2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), pp. 1–8 (2016)
Zhang, M., Winkelhaus, S., Grosse, E.H., Glock, C.H.: A simulation model for evaluating the efficiency of robot-supported order picking warehouses. In: Symposium on Logistics (2021)
Wakula, J., Steinebach, T., Klaer, V., Rabenhaupt, W., Maier, G.: Analysis of the physical workload and ergonomic design of workstations for “goods-to-person” order picking. In: Black, N.L., Neumann, W.P., Noy, I. (eds.) Proceedings of the 21st Congress of the International Ergonomics Association (IEA 2021). IEA 2021. Lecture Notes in Networks and Systems, vol. 221, pp. 522–529. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-74608-7_64
Đukić, G., Opetuk, T., Gajšek, B.: Space, time and ergonomic assessment of order picking using horizontal carousel. In: Sumpor, D., Jambrošić, K., Jurčević Lulić, T., Milčić, D., Salopek Čubrić, I., Šabarić, I. (eds.) Proceedings of the 8th International Ergonomics Conference. ERGONOMICS 2020. Advances in Intelligent Systems and Computing, vol. 1313 pp. 73–83. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-66937-9_9
Gajšek, B., Ðukić, G., Butlewski, M., Opetuk, T., Cajner, H., Kač, S.M.: The impact of the applied technology on health and productivity in manual “picker-to-part” systems. Work 65(3), 525–536 (2020)
Loske, D., Klumpp, M.: Smart and efficient: Learning curves in manual and human-robot order picking systems. IFAC-PapersOnLine 53(2), 10255–10260 (2020)
Yin, R.K.: Discovering the future of the case study. Method in evaluation research. Eval. Pract. 15(3), 283–290 (1994)
Rashid, Y., Rashid, A., Warraich, M.A., Sabir, S.S., Waseem, A.: Case study method: a step-by-step guide for business researchers. Int. J. Qual. Methods 18, 1609406919862424 (2019)
Steinebach, T., Wakula, J., Mehmedovic, A.: The influence of an ergonomic storage location assignment on human strain in manual order picking. In: Black, N.L., Neumann, W.P., Noy, I. (eds.) Proceedings of the 21st Congress of the International Ergonomics Association (IEA 2021). IEA 2021. Lecture Notes in Networks and Systems, vol. 221, pp. 511–521. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-74608-7_63
Gajšek, B., Šinko, S., Kramberger, T., Butlewski, M., Özceylan, E., Đukić, G.: Towards productive and ergonomic order picking: multi-objective modeling approach. Appl. Sci. 11(9), 4179 (2021)
Hart, S.G., Staveland, L.E: Development of NASA-TLX (Task Load Index): results of empirical and theoretical research. In Advances in Psychology, vol. 52, pp. 139–183, North-Holland (1998)
Harwood, T.G., Garry, T.: An overview of content analysis. Mark. Rev. 3(4), 479–498 (2003)
Calzavara, M., Glock, C.H., Grosse, E.H., Sgarbossa, F.: An integrated storage assignment method for manual order picking warehouses considering cost, workload and posture. Int. J. Prod. Res. 57(8), 2392–2408 (2019)
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Vijayakumar, V., Sgarbossa, F. (2023). The Impact of the Design Decisions of an Order Picking System on Human Factors Aspects of the Order Pickers. In: Alfnes, E., Romsdal, A., Strandhagen, J.O., von Cieminski, G., Romero, D. (eds) Advances in Production Management Systems. Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures. APMS 2023. IFIP Advances in Information and Communication Technology, vol 689. Springer, Cham. https://doi.org/10.1007/978-3-031-43662-8_55
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DOI: https://doi.org/10.1007/978-3-031-43662-8_55
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