산업경영시스템학회지 (Journal of Korean Society of Industrial and Systems Engineering)

  • 제47권2호
  • /
  • Pages.190-197
  • /
  • 2024
  • /
  • 2005-0461(pISSN)
  • /
  • 2287-7975(eISSN)
한국산업경영시스템학회 (Society of Korea Industrial and System Engineering)
권호 표지
DOI QR코드

DOI QR Code

구역 피킹 시스템 운영 방안 비교 분석

Comparative Analysis of Operation Policies for a Zone Picking System

  • Mi Lim Lee (School of Business Administration, Hongik University)
  • 투고 : 2024.06.04
  • 심사 : 2024.06.18
  • 발행 : 2024.06.30
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

By the recent fast growth of e-commerce markets, it has been stimulated to study order picking systems to improve their efficiency in distribution centers. Many companies and researchers have been developed various types of order picking systems and pursued the corresponding optimal operation policies. However, the performances of the systems with the optimal policies often depend on the structures of the centers and the operation environments. Based on a simulation model that mimics a unique zone picking system operated by a real company in the Republic of Korea, this study compares several operation policies and finds the most appropriate order selection rule and worker assignment policy for the system. Under all scenarios considered in this study, simulation results show that it is recommendable to assign more efficient workers to the zones with heavier workload. It also shows that selecting the order with the maximum number of non-repeatedly visited zones from the order list provides the most consistent and stable performances with respect to flow time, makespan, and utilization of the system even under the scenario with the breakdown zones. On the other hand, selecting the order with the minimum ratio of penalty to the number of zones performs the worst in all scenarios considered.

키워드

과제정보

This study was partially supported by 2021 Hongik University Research Fund.

참고문헌

  1. Coyle, J.J., Bardi, E.J., and Langley Jr., C.J., The Management of Business Logistics: A Supply Chain Perspective, 7th ed. South-Western/Thomson Learning: Mason, 2003.
  2. Dallari, F., Marchet, G., and Melacini, M., Design of Order Picking System, The International Journal of Advanced Manufacturing Technology, 2009, Vol. 42, pp. 1-12. https://doi.org/10.1007/s00170-008-1571-9
  3. De Koster, R., Le-Duc, T., and Roodbergen, K.J., Design and Control of Warehouse Order Picking: a Literature Review, European Journal of Operational Research, 2007, Vol. 182, No. 2, pp. 481-501. https://doi.org/10.1016/j.ejor.2006.07.009
  4. Drury, J., Towards More Efficient Order Picking, IMM Monograph No. 1. Report, The Institute of Materials Management, Cranfield, UK, 1988.
  5. Eisenstein, D.D., Analysis and Optimal Design of Discrete Order Picking Technologies along a Line, Naval Research Logistics, 2008, Vol. 55, No. 4, pp. 350-362. https://doi.org/10.1002/nav.20289
  6. Frazelle, E.H., World-Class Warehousing, Logistics Resources International Inc.: Atlanta, 1996.
  7. Frazelle, E.H. and Apple, J.M., Warehouse Operations, Tompkins, J.A. and Harmelink, D.A. Ed., The Distribution Management Handbook, McGraw-Hill: New York, 1994.
  8. Ho, Y.C. and Lin, J.W., Improving Order-Picking Performance by Converting a Sequential Zone-picking Line into a Zone-Picking Network, Computer and Industrial Engineering, 2017, Vol. 113, pp. 241-255. https://doi.org/10.1016/j.cie.2017.09.014
  9. Kim, S., Kim, H., Park, C., Jeong, J., Yang, H., and Kong, S., Optimal Computing Budget Allocation for Operations of a Zone-Picking System, International Journal of Simulation Modelling, 2024, Vol. 23, No. 2, to be printed.
  10. Kim, T.H. and Song, S.H., A Study on Optimization of Picking Facilities for e-Commerce, The Journal of Society for e-Business Studies, 2021, Vol. 26, No. 1, pp. 67-78. https://doi.org/10.7838/JSEBS.2021.26.1.067
  11. Lerher, T., Borovinsek, M., Ficko, M., and Palcic, I., Parametric Study of Throughput Performance in SBS/RS Based on Simulation, International Journal of Simulation Modelling, 2017, Vol. 16, No. 1, pp. 96-107. https://doi.org/10.2507/IJSIMM16(1)8.372
  12. Park, B.C., Order Picking: Issues, Systems and Models, Manzini, R. ed. Warehousing in the Global Supply Chain: Advanced Models, Tools and Applications for Storage Systems, Springer-Verlag: London, 2012. pp. 1-30.
  13. Parikh, P.J. and Meller, R.D., Selecting between Batch and Zone Order Picking Strategies in a Distribution Center, Transportation Research Part E: Logistics and Transportation Review, 2008, Vol. 44, No. 5, pp. 696-719. https://doi.org/10.1016/j.tre.2007.03.002
  14. Petersen, C.G., An Evaluation of Order Picking Routeing Policies, International Journal of Operations and Production Management, 1997, Vol. 17, No. 11, pp. 1098-1111. https://doi.org/10.1108/01443579710177860
  15. Petersen, C.G., An Evaluation of Order Picking Policies for Mail Order Companies, Production and Operations Management, 2000, Vol. 9, No. 4, pp. 319-335. https://doi.org/10.1111/j.1937-5956.2000.tb00461.x
  16. Ryu, J., Park, Y., and Ha, S., Comparative Study of Order Selection Rules based on Worker Efficiency and Assigned Workloads, Technical report, Seoul, Korea: Hanyang University, 2023.
  17. Tompkins, J.A., White, J.A., Bozer, Y.A., and Tanchoco, J.M.A., Facilities Planning, John Wiley & Sons, 2010.
  18. Van Der Gaast, J.P., De Koster, R.B., Adan, I.J., and Resing, J.A., Capacity Analysis of Sequential Zone Picking Systems, Operations Research, 2020, Vol. 68, No. 1, pp. 161-179. https://doi.org/10.1287/opre.2019.1885