Simulation study on a warehouse picking process taking into account a predetermined order of further goods loading

• Autorzy: Guerrero-Moreno Blanca Maria

Identyfikatory

DOI

10.37190/JoT2022_02

• Języki publikacji: EN

Abstrakty

EN

In this article, the results of a series of selected algorithms used during the picking of goods in a warehouse, assuming the order of stacking goods in transport containers is predetermined, are analysed, simulated and evaluated. The importance of the development of this type of algorithms is the possibility of reducing the waiting time of both transport and goods in order to reduce the total cost of the picking process. Afterwards, the results will be analysed by varying the parameters and evaluating the solutions. The aim is to show the results of various picking algorithms when their subsequent stacking order is predetermined, and to use these to identify relationships and define guidelines that could be used to support the design of similar picking algorithms.

Słowa kluczowe

EN

logistics; order picking; simulation; routing; warehouse management

PL

logistyka; zamówienia; symulacja; zarządzanie magazynem

• Wydawca: Oficyna Wydawnicza Politechniki Wrocławskiej
• Czasopismo: Journal of TransLogistics
• Rocznik: 2022
• Tom: Vol. 8, nr 1
• Strony: 25--39
• Opis fizyczny: Bibliogr. 13 poz., rys., tab.

Twórcy

autor

Guerrero-Moreno Blanca Maria

• Universitat Politècnica de València, Research Centre on Production Management and Engineering (CIGIP), Valencia, Spain

Bibliografia

• [1] JAKUBIAK, M., The infuence of order picking zone's configuration on the time of the order picking process, Ekonometria, 2014, 3(45), 138-150.
• [2] MASAE, M., GLOCK, C. H., GROSSE, E. H., Order picker routing in warehouses: A systematic literature review, International Journal of Production Economics, 2020, 224, 107564.
• [3] GLOCK, C. H., GROSSE, E. H.; ELBERT, R. M., FRANZKE, T., Maverick picking: The impact of modifications in work schedules on manual order picking processes, International Journal of Production Research, 2017, 55, 6344-6360.
• [4] TARCZYNSKI, G.; JAKUBIAK, M., Selection of manual order picking concept in a warehouse by means of simulation tools, Mathematical Economics, 2013, 8 (15).
• [5] GU, J.; GOETSCHALCKX, M.; MCGINNIS, L. F., Research on warehouse design and performance evaluation: A comprehensive review, European Journal of Operational Research, 2007, 177, 1-21.
• [6] DE KOSTER, R. M. B. M.; LE-DUC, T.; ROODBERGEN, K. J., Design and control of warehouse order picking: A literature review, European Journal of Operational Research, 2007, 182, 481-501.
• [7] CHACKELSON, C. Metodología de diseño de almacenes: Fases, herramientas y mejores prácticas. Ph.D. Thesis, Universidad de Navarra 2013.
• [8] CARBONERAS, M. C., Notes on the subject Operations Management, Escuela Técnica Superior de Ingeniería Industrial, Universitat Politècnica de València 2020.
• [9] LU, W.; MCFARLANE, D.; GIANNIKAS, V.; ZHANG, Q. An algorithm for dynamic orderpicking in warehouse operations, European Journal of Operational Research, 2016, 248, 107 122.
• [10] RUSHTON, A.; CROUCHER, P.; BAKER, P., The handbook of logistics and distribution management: Understanding the supply chain; Kogan Page Publishers, 2022.
• [11] KUTZELNIGG, R. Optimal allocation of goods in a warehouse: Minimizing the order picking costs under real-life constraints, 3rd IEEE International Symposium on Logistics and Industrial Informatics, 2011, pp 65-70.
• [12] GU, J.; GOETSCHALCKX, M.; MCGINNIS, L. F. Research on warehouse design and performance evaluation: A comprehensive review, European Journal of Operational Research, 2010, 203, 539-549.
• [13] RATLIFF, H.; ROSENTHAL, A. Order-picking in a rectangular warehouse: A solvable case of the traveling salesman problem, Operations Research, 1983, 31, 507 521.

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).