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Simulations in planning logistics processes as a tool of decision-making in manufacturing companies

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Simulations in planning logistics processes as a tool of decision-making in manufacturing companies
Rocznik
Strony
300--308
Opis fizyczny
Bibliogr. 70 poz., rys.
Twórcy
autor
  • Czestochowa University of Technology, J.H. Dąbrowskiego 69, 42-201 Częstochowa, Poland Tel.: + 48 34 3250865
Bibliografia
  • 1. Agalianos, K., Ponis, S.T., Aretoulaki, E., Plakas, G., Efthymiou, O., 2020. Discrete Event Simulation and Digital Twins: Review and Challenges for Logistics. Procedia Manufacturing, 51, 2020, 1636-1641, ISSN 2351-9789, DOI: 10.1016/j.promfg.2020.10.228.
  • 2. Bajdor, P., 2021. Simulations of the Relationship between the Experience Level of E-Commerce Customers and the Adopted Variables - Implications for Management in the Area of Online Shopping. Procedia Computer Science, 192, 2576-2585, DOI: 10.1016/j.procs.2021.09.027
  • 3. Baskiewicz, N., 2018. Coordination of Cooperation in the Field of Logistics in the Automotive Industry. in: Logistics and Organizations - Brazilian and Polish Experience (ed.) Otola, I., Grabowska, M., Okano, M. T., Centro Estadual de Educacao Tecnologica Paula Souza, Sao Paulo, Brazil, 150-162
  • 4. Beaverstock, M., Greenwood, A., Lavery, E., Nordgren, W., 2017, Applied Simulation. Modeling and Analysis using FlexSim. 5th Edition, FlexSim Software Products Inc. Orem. USA
  • 5. Berg, J.V., Zijm, W. 1999. Models for warehouse management: Classification and examples. International Journal of Production Economics, 519-528.
  • 6. Bley, H., Oltermann, R., Wuttke, C.C. 2000, Distributed model management system for material flow simulation. Journal of Materials Processing Technology, 107, 1–3, 478-484, ISSN 0924-0136, DOI: 10.1016/S0924-0136(00)00690-7.
  • 7. Bottani, E., Volpi, A., Montanari, R., 2019. Design and optimization of order picking systems: An integrated procedure and two case studies. Computers & Industrial Engineering 137 (2019) 106035, DOI: 10.1016/j.cie.2019.106035
  • 8. Bottani, E., Cecconi, M., Vignali, G., Montanari, R., 2012. Optimisation of storage allocation in order picking operations through a genetic algorithm'. International Journal of Logistics: Research and Applications, 15(2), 127-146.10.1080/13675567.2012.694860
  • 9. Boysen, N., Stephan, K., 2013, The deterministic product location problem under a pick-by-order policy. Discrete Applied Mathematics, 161, 18, 2862-2875, DOI: 10.1016/j.dam.2013.07.002.
  • 10. Boysen, N., Fedtke, S., Weidinger, F., 2018, Optimizing automated sorting in warehouses: The minimum order spread sequencing problem. European Journal of Operational Research, 270, (1), 386-400, ISSN 0377-2217, DOI: 10.1016/j.ejor.2018.03.026.
  • 11. Caron, F., Marchet, G., Perego, A., 1998. Routing policies and COI-based storagenpolicies in picker-to-part systems. International Journal of Production Research, 36,713-732.10.1080/002075498193651
  • 12. Chabot, T., Coelho, L. C., Renaud, J., Côté, J., 2018. Mathematical model, heuristics and exact method for order picking in narrow aisles. Journal of the Operational Research Society, 69(8), 1242-1253, DOI: 10.1080/01605682.2017
  • 13. Chackelson, C., Errasti, A., Ciprs, D., Lahoz, F., 2013. Evaluating order picking performance trade-offs by configuring main operating strategies in a retail distributor: A Design of Experiments approach. International Journal of Production Research, 51(20), 6097-6109.10.1080/00207543.2013.796421
  • 14. Chen, W., Zhang, Y. Zhou, Y., 2022. Integrated scheduling of zone picking and vehicle routing problem with time windows in the front warehouse mode. Computers & Industrial Engineering, 163, 107823, DOI: 10.1016/j.cie.2021.107823.
  • 15. Chen, C.M., Gong, Y., De Koster, R. B. M., Van Nunen, J.A.E.E., 2010,). A flexible evaluative framework for order picking systems. Production and Operations Management, 19 (1), 70–82. DOI: 10.1111/j.1937-5956.2009.01047.x.
  • 16. Coelho, F., Relvas, S., Barbosa-Póvoa, A.P., 2021. Simulation-based decision support tool for in-house logistics: the basis for a digital twin. Computers & Industrial Engineering, 153, 107094, ISSN 0360-8352, DOI: 10.1016/j.cie.2020.107094.
  • 17. Daroń, M., Wilk, M., 2020, The Measure of Enterprise Development Defined by the Use of IT Systems Supporting Logistic Management: a Comparison of Poland and Germany. Education Excellence and Innovation Management: a 2025 Vision to Sustain Economic Development during Global Challenges (ed.) SOLIMAN Khalid S., International Business Information Management Association, 8182-8190.
  • 18. De los Mozos, E. A., López, N.G., 2020. Short-term logistics management at a multinational corporation. Procedia Manufacturing, 51, 1696-1702, ISSN 2351-9789, DOI: 10.1016/j.promfg.2020.10.236.
  • 19. De Koster, M.B.M., 1994. Performance approximation of pick-to-belt orderpicking systems. European Journal of Operational Research, 72 (3), 558–573. DOI: 10.1016/0377-2217(94)90423-5.
  • 20. de Koster, R., Le-Duc, T., Zaerpour, N., 2012. Determining the number of zones in a pick-and-sort order picking system. International Journal of Production Research, 50(3), 757–771.10.1080/00207543.2010.543941
  • 21. Fanti, M.P., Iacobellis, G., Ukovich, W., Boschian, V., Georgoulas, G., Stylios, C., 2015. A simulation based Decision Support System for logistics management. Journal of Computational Science, 10, 86-96, ISSN 1877-7503, DOI: 10.1016/j.jocs.2014.10.003.
  • 22. Fink, S., Benz, F., 2019. Flexibility planning in global inbound logistics. Procedia CIRP, Volume 79, 415-420, DOI: 10.1016/j.procir.2019.02.114.
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  • 25. Gunal, M.M., 2019. Simulation for Industry 4.0. Past, Present, and Future. Springer Nature Switzerland, DOI: 10.1007/978-3-030-04137-3
  • 26. Guimarães, R., Almeida, L., Barros, M., Afecto, M. C., Figueira, M. L., Mota, D., Galvão, M., Barreira, M. and Lima, R.M., 2022, Restructuring picking and restocking processes on a hypermarket. Production Engineering Archives, 28, no.1, 64-72. DOI: 10.30657/pea.2022.28.08
  • 27. Güller, M., Hegmanns, T., 2014, Simulation-Based Performance Analysis of a Miniload Multishuttle Order Picking System. Procedia CIRP 17, 475 – 48010.1016/j.procir.2014.01.041
  • 28. Hameri, A.P., Paatela, A., 1995, Multidimensional simulation as a tool for strategic logistics planning,Computers in Industry, 27(3), 273-285, DOI: 10.1016/0166-3615(95)00043-1.
  • 29. Ho, Y.C., Su, T.S., Shi, Z.B., 2008. Order-batching methods for an order-picking warehouse with two cross aisles. Computers & Industrial Engineering, 55, (2), 321-347, ISSN 0360-8352, DOI: 10.1016/j.cie.2007.12.018.
  • 30. Ho, Y.C., Lin, J.W., 2017, Improving order-picking performance by converting a sequential zone-picking line into a zone-picking network. Computers & Industrial Engineering, 113, 241–255.10.1016/j.cie.2017.09.014
  • 31. Hong, S., Kim, Y., 2017. A route-selecting order batching model with the S-shape routes in a parallel-aisle order picking system, European Journal of Operational Research, 257(1), 185-196, ISSN 0377-2217, DOI: 10.1016/j.ejor.2016.07.017.
  • 32. Jiang, X., Sun, L., Zhang, Y., Hu, X., 2022. Order batching and sequencing for minimising the total order completion time in pick-and-sort warehouses. Expert Systems with Applications, 187, 115943, ISSN 0957-4174, DOI: 10.1016/j.eswa.2021.115943.
  • 33. Kaczmar, I., 2019. Komputerowe modelowanie i symulacje procesów logistycznych w środowisku FlexSim. PWN, Warszawa, Poland.
  • 34. Kallat, F., Pfrommer, J., Bessai, J., Rehof, J., Meyer, A., 2021. Automatic Building of a Repository for Component-based Synthesis of Warehouse Simulation Models. Procedia CIRP, 104, 1440-1445, ISSN 2212-8271, DOI: 10.1016/j.procir.2021.11.243.
  • 35. Kawczyński, Ł., Aguilar-Sommar, R., 2006. Comprehensive design of an order picking line by simulation, IFAC Proceedings Volumes, 39(3), 365-370, ISSN 1474-6670, DOI: 10.3182/20060517-3-FR-2903.00196.
  • 36. Kiran, D.R., 2020. Work organization and methods engineering for productivity. BSP books Pvt. Ltd. Elsevier Inc. Oxford, UK.
  • 37. Koo, P.H., 2009. The use of bucket brigades in zone order picking systems. OR Spectrum, 31(4), 759-774. DOI: 10.1007/s00291-008-0131-x
  • 38. Koster, R., Le-Duc, T., Roodbergen, K.J., 2007. Design and control of warehouse order picking: A literature review. European Journal of Operational Research, 481-501.10.1016/j.ejor.2006.07.009
  • 39. Krynke, M., 2021. Management Optimizing the Costs and Duration Time of the Process in the Production System. Production Engineering Archives, 27(3), 163-170, DOI: 10.30657/pea.2021.27.21
  • 40. Kusiak, A., 2000. Computational Intelligence in Design and Manufacturing. New York, USA: John Wiley & Sons, Inc.
  • 41. Li, J., Huang, R., Dai, J. B., 2016. Joint optimisation of order batching and picker routing in the online retailers warehouse in China. International Journal of Production Research, 0, 1–15, DOI: 10.1080/00207543.2016.1187313.
  • 42. Masae, M., Glock, Ch. H., Vichitkunakorn, P., 2021. A method for efficientlyrouting order pickers in the leaf warehouse. International Journal ofProduction Economics, 234, 108069, ISSN 0925-5273, DOI:10.1016/j.ijpe.2021.108069
  • 43. Manzini, R., Gamberi, M., Persona, A., & Regattieri, A., 2007. Design of a class based storage picker to product order picking system. International Journal of Advanced Manufacturing Technology, 32(7–8), 811–821.10.1007/s00170-005-0377-2
  • 44. Matusiak, M., De Koster, R., Saarinen, J., 2017. Utilizing individual picker skills to improve order batching in a warehouse. European Journal of Operational Research, 263(3), 888–899, DOI: 10.1016/j.ejor.2017.05.002.
  • 45. Mesjasz-Lech. A., 2014. The Use of IT Systems Supporting the Realization of Business Processes in Enterprises and Supply Chains in Poland. Polish Journal of Management Studies, 10 (2), 94-103.
  • 46. Milewska, E. 217. It Systems Supporting the Management of Production Capacity. Management Systems in Production Engineering, 25(1), 60-67. DOI: 10.1515/mspe-2017-0009
  • 47. Moussa, F.Z.B., De Guio, R., Dubois, S., Rasovska, I., Benmoussa, R., 2019. Study of an innovative method based on complementarity between ARIZ, lean management and discrete event simulation for solving warehousing problems. Computers & Industrial Engineering, 132, 124-140, ISSN 0360-8352, DOI: 10.1016/j.cie.2019.04.024.
  • 48. Muppani, V.R., Adil, G.K., 2008. Efficient formation of storage classes for warehouse storage location assignment: A simulated annealing approach. Omega, 36, 609-618.10.1016/j.omega.2007.01.006
  • 49. Quader, S., Castillo-Villar, K.K., 2016. Design of an enhanced multi-aisle order-picking system considering storage assignments and routing heuristics. Robotics and Computer-Integrated Manufacturing. DOI: 10.1016/j.rcim.2015.12.009.
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  • 51. Parikh, P., Meller, R., 2010. A travel-time model for a person-onboard order picking system. European Journal of Operational Research, 200, 385–394.10.1016/j.ejor.2008.12.031
  • 52. Petersen, Ch.G., Aase, G. 2004. A comparison of picking, storage, and routing policies in manual order picking. International Journal of Production Economics, 92, (1), 11-19, ISSN 0925-5273, DOI: 10.1016/j.ijpe.2003.09.006.
  • 53. Ramstedt, L., Woxenius, J., 2006. Modelling approaches to operational decision-making in freight transport chains. In Proc. 18th NOFOMA Conference, Oslo, 7-8.
  • 54. Rubrico, J.I.U., Higashi, T., Tamura, H., Ota, J., 2011. Online rescheduling of multiple picking agents for warehouse management. Robotics and Computer-Integrated Manufacturing, 27(1), 62–71. DOI: 10.1016/j.rcim.2010.06.011.
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  • 57. Setamanit, S., 2018. Evaluation of outsourcing transportation contract using simulation and design of experiment. Polish Journal of Management Studies, 18 (2), 300-310, DOI: 10.17512/pjms.2018.18.2.24
  • 58. Sridhar, P., Vishnu, C.R., Sridharan, R., 2021, Simulation of inventory management systems in retail stores: A case study, Materials Today: Proceedings, 47(15), 5130-5134, ISSN 2214-7853, DOI: 10.1016/j.matpr.2021.05.314.
  • 59. Sainathuni, B., Parikh, P.J., Zhang, X., Kong, N., 2014. The warehouse-inventory-transportation problem for supply chains, European Journal of Operational Research, 237(2), 690-700, ISSN 0377-2217, DOI: 10.1016/j.ejor.2014.02.007.
  • 60. Setamanit, S., 2018. Evaluation of outsourcing transportation contract using simulation and design of experiment. Polish Journal of Management Studies, 18 (2), 300-310, DOI: 10.17512/pjms.2018.18.2.24
  • 61. Simchi-Levi E. 2010. Managing the supply chain: the definitive guide for the business professional. New York: McGraw-Hill.
  • 62. Sridhar, P., Vishnu, C.R., Sridharan, R., 2021. Simulation of inventory management systems in retail stores: A case study. Materials Today: Proceedings, 47(15), 5130-5134, DOI: 10.1016/j.matpr.2021.05.314.
  • 63. Steenken, D., Voß, S. Stahlbock, R., 2004. Container terminal operation and opera-tions research—a classification and literature review, OR Spectrum 26.10.1007/s00291-003-0157-z
  • 64. Tan, Z., Li, H., He, X., 2021. Optimizing parcel sorting process of vertical sorting system in e-commerce warehouse. Advanced Engineering Informatics, 48, 101279, ISSN 1474-0346, DOI: 10.1016/j.aei.2021.101279.
  • 65. Theys, C., Bräysy, O., Dullaert, W., Raa, B., 2010. Using a TSP heuristic for routing order pickers in warehouses. European Journal of Operational Research, 200(3), 755–763.10.1016/j.ejor.2009.01.036
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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).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-a1ea137c-1dd0-4d2a-8581-3c8586216ee0
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