Analytical and simulation determination of order picking time in a low storage warehouse for shared storage systems

• Autorzy: Dmytrów Krzysztof

Identyfikatory

DOI

10.37190/ord220203

• Języki publikacji: EN

Abstrakty

EN

The aim of the research is comparison between average order picking times obtained using the analytical model and simulation methods for shared storage systems. We also compare the results obtained with the results obtained for dedicated storage. We assume the random and ABC-class storage (with within and across aisle storage policies). We select the locations by means of the TOPSIS method for two take-out strategies: quantity adjustment (QA) and priority of partial units (PPU). We determine the route by using s-shape and return heuristics. In most cases, the simulated average order picking times are shorter than the analytical ones. It results from not considering the criteria’ weights in calculation of the analytical order picking time. Also, the results for shared storage with QA strategy are in most cases better than for dedicated storage. This might imply an advantage of shared over dedicated storage, but needs further confirmation.

Słowa kluczowe

EN

warehouse management; order picking; shared storage; multi-criteria decision-making; simulation method

• Wydawca: Oficyna Wydawnicza Politechniki Wrocławskiej
• Czasopismo: Operations Research and Decisions
• Rocznik: 2022
• Tom: Vol. 32, No. 2
• Strony: 34--51
• Opis fizyczny: Bibliogr. 39 poz., rys.

Twórcy

autor

Dmytrów Krzysztof

• Institute of Economics and Finance, University of Szczecin, Szczecin, Poland

• https://orcid.org/0000-0001-7657-6063

Bibliografia

• [1] Bartholdi, J. J., and Hackman, S. T. Warehouse & Distribution Science, Release 0.98.1. Georgia Institute of Technology, 2019.
• [2] Chew, E. P., and Tang, L. C. Travel time analysis for general item location assignment in a rectangular warehouse. European Journal of Operational Research 112, 3 (1999), 582–597.
• [3] Daniels, R. L., Rummel, J. L., and Schantz, R. A model for warehouse order picking. European Journal of Operational Research 105, 1 (1998), 1–17.
• [4] Danielson, M., and Ekenberg, L. Trade-offs for ordinal ranking methods in multi-criteria decisions. In Group Decision and Negotiation. Theory, Empirical Evidence, and Application (Cham, 2017), D. Bajwa, S. T. Koeszegi, and R. Vetschera, Eds., Springer International Publishing, pp. 16–27.
• [5] 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 182, 2 (2007), 481–501.
• [6] de Koster, R., van der Poort, E., and Roodbergen, K. J. When to apply optimal or heuristic routing of orderpickers. In Advances in Distribution Logistics (Berlin, Heidelberg, 1998), B. Fleischmann, J. A. E. E. van Nunen, M. G. Speranza, and P. Stähly, Eds., Springer Berlin Heidelberg, pp. 375–401.
• [7] Dmytrów, K. Comparison of several linear ordering methods for selection of locations in order-picking by means of the simulation methods. Acta Universitatis Lodziensis. Folia Oeconomica 5, 338 (2018), 81–96.
• [8] Dmytrów, K. Comparison of the order-picking route and time obtained by using the TMAL method with results of selected take-out strategies. In Problems, Methods and Tools in Experimental and Behavioral Economics (Cham, 2018), K. Nermend and M. Łatuszynska, Eds., Springer International Publishing, pp. 261–272. ´
• [9] Dmytrów, K. Calibration of attributes influence in the process of real estate mass appraisal by using decision-making methods. Przegl ˛ad Statystyczny. Statistical Review 66, 4 (2019), 287–308.
• [10] Dmytrów, K., Gdakowicz, A., and Putek-Szeląg, E. Statistical relations of the qualitative attributes of real properties subject to mass appraisal. Folia Oeconomica Stetinensia 19, 2 (2019), 25–37.
• [11] Dmytrów, K., Gdakowicz, A., and Putek-Szeląg, E. Methods of analyzing qualitative variable correlation on the real estate market. Real Estate Management and Valuation 28, 1 (2020), 80–90.
• [12] Fumi, A., Scarabotti, L., and Schiraldi, M. M. Minimizing warehouse space with a dedicated storage policy. International Journal of Engineering Business Management 5 (2013), 1–8.
• [13] Goetschalckx, M., and Ratliff, H. D. An efficient algorithm to cluster order picking items in a wide aisle. Engineering Costs and Production Economics 13, 4 (1988), 263–271.
• [14] Gu, J., Goetschalckx, M., and McGinnis, L. F. Research on warehouse design and performance evaluation: A comprehensive review. European Journal of Operational Research 203, 3 (2010), 539–549.
• [15] Gudehus, T., and Kotzab, H. Comprehensive Logistics. Springer-Verlag, 2012.
• [16] Gue, K. R., Ivanović, G., and Meller, R. D. A unit-load warehouse with multiple pickup and deposit points and nontraditional aisles. Transportation Research Part E: Logistics and Transportation Review 48, 4 (2012), 795–806.
• [17] Hall, R. W. Distance approximations for routing manual pickers in a warehouse. IIE Transactions 25, 4 (1993), 76–87.
• [18] Hwang, C.-L., and Yoon, K. Multiple Attribute Decision Making. Methods and Applications. A State-of-the-Art Survey. Springer-Verlag, 1981.
• [19] Hwang, H., Oh, Y. H., and Lee, Y. K. An evaluation of routing policies for order-picking operations in low-level picker-topart system. International Journal of Production Research 42, 18 (2004), 3873–3889.
• [20] Kolenda, M. Taksonomia Numeryczna. Klasyfikacja, porz ˛adkowanie i analiza obiektów wielocechowych. Wydawnictwo Akademii Ekonomicznej im. Oskara Langego we Wrocławiu, 2006.
• [21] Kukuła, K. Metoda unitaryzacji zerowanej. Wydawnictwo Naukowe PWN, 2000.
• [22] Le-Duc, T. Design and Control of Efficient Order Picking Processes. PhD thesis, Erasmus University Rotterdam, 2005.
• [23] Lee, M.-K., and Elsayed, E. Optimization of warehouse storage capacity under a dedicated storage policy. International Journal of Production Research 43, 9 (2005), 1785–1805.
• [24] Lotfi, F. H., and Fallahnejad, R. Imprecise shannon’s entropy and multi attribute decision making. Entropy 12, 1 (2010), 53–62.
• [25] Napolitano, M. 2012 warehouse/DC operations survey: Mixed signals. Supply Chain Management Review 16 (2012), S68–S77.
• [26] Nermend, K. Metody analizy wielokryterialnej i wielowymiarowej we wspomaganiu decyzji. Wydawnictwo Naukowe PWN, 2017.
• [27] Pan, J. C.-H., Wu, M.-H., and Chang, W.-L. A travel time estimation model for a high-level picker-to-part system with class-based storage policies. European Journal of Operational Research 237, 3 (2014), 1054–1066.
• [28] Petersen, C. G., Aase, G. R., and Heiser, D. R. Improving order-picking performance through the implementation of class-based storage. International Journal of Physical Distribution & Logistics Management 34, 7 (2004), 534–544.
• [29] Ratliff, H. D., and Rosenthal, A. S. Order-picking in a rectangular warehouse: A solvable case of the traveling salesman problem. Operations Research 31, 3 (1983), 507–521.
• [30] Roodbergen, K. J., and De Koster, R. Routing methods for warehouses with multiple cross aisles. International Journal of Production Research 39, 9 (2001), 1865–1883.
• [31] Roodbergen, K. J., and Vis, I. F. A survey of literature on automated storage and retrieval systems. European Journal of Operational Research 194, 2 (2009), 343–362.
• [32] Shah, B., and Khanzode, V. A comprehensive review of warehouse operational issues. International Journal of Logistics Systems and Management 23, 3 (2017), 346–378.
• [33] Tarczyński, G. Analysis of the impact of storage parameters and the size of orders on the choice of the method for routing order picking. Operations Research and Decisions 22, 4 (2012), 105–120.
• [34] Tarczyński, G. Srednie czasy kompletacji zamówie ´ n dla heurystyki s-shape - wzory i symulacje. ´ Studia Ekonomiczne. Zeszyty Naukowe Uniwersytetu Ekonomicznego w Katowicach 237 (2015), 104–116.
• [35] Tarczyński, G. Optymalizacja procesów magazynowych. Wybrane modele i metody. Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu, 2019.
• [36] Trzaskalik, T., Ed. Wielokryterialne wspomaganie decyzji. Metody i zastosowania. Polskie Wydawnictwo Ekonomiczne, 2014.
• [37] van den Berg, J. P., and Gademann, A. Simulation study of an automated storage/retrieval system. International Journal of Production Research 38, 6 (2000), 1339–1356.
• [38] Yu, Y., De Koster, R., and Guo, X. Class-based storage with a finite number of items: Using more classes is not always better. Production and Operations Management 24, 8 (2015), 1235–1247.
• [39] Zavadskas, E. K., Kaklauskas, A., and Šarka, V. When to apply optimal or heuristic routing of orderpickers. In Technological and economic development of economy (1994), E. K. Zavadskas and P. Linnert, Eds., vol. 3 of Business Management, Technika, pp. 131–140.

Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).