The Application of Multiple Criteria Decision Making/Aiding Methodology in the Evaluation and Redesign of Logistics Systems

• Autorzy: Żak Jacek

Identyfikatory

DOI

10.7494/dmms.2019.13.1-2.3328

• Języki publikacji: EN

Abstrakty

EN

The paper presents the methodological background of Multiple Criteria Decision Making/Aiding (MCDM/A) and its practical application in logistics systems. It explains why MCDM/A methodology is important when dealing with different categories of decision problems that arise in those systems. The major features and basic notions of MCDM/A methodology are presented, while different categories of MCDM/A methods are characterized and classified. Two case studies demonstrate potential applications of MCDM/A methodology in logistics. In the first case study multiple objective optimization of the distribution system is carried out and compared with single objective optimization. The decision problem is formulated as multiple criteria mathematical programming problem and solved by an extended version of MS Excel Solver – Premium Solver Plus. The second case study focuses on multiple criteria evaluation and the ranking of logistics infrastructure objects, i.e. a set of warehouses – distribution centres. The decision problem is formulated as a multiple criteria ranking problem and solved with an application of the ELECTRE III/IV method.

Słowa kluczowe

EN

logistics systems; multiple criteria optimization & evaluation; MCDM/A methodology

• Wydawca: AGH University of Science and Technology Press
• Czasopismo: Decision Making in Manufacturing and Services
• Rocznik: 2019
• Tom: Vol. 13, no. 1-2
• Strony: 53--71
• Opis fizyczny: Bibliogr. 29 poz., tab.

Twórcy

autor

Żak Jacek

• Poznan University of Technology, Faculty of Engineering Management, Institute of Logistics

Bibliografia

• [1] Brans, J., Vincke, P., Mareschal, B., 1986. How to Select and How to Rank Projects: The PROMETHEE Method. European Journal of Operational Research, 24, pp. 228–238.
• [2] Coyle, J.J., Bardi, E.J., Langley Jr., J., 1996. The Management of Business Logistics. West Publishing Company, St. Paul.
• [3] Figueira, J., Greco, S., Ehrgott, M. (eds.), 2005. Multiple Criteria Decision Analysis. State of the Art Surveys. Springer, New York.
• [4] Forger, G., 1998. Benchmark Your Warehouse for Future Success. Special Report. Modern Materials Handling, 10, pp. 39–41.
• [5] Hapke, M., Jaszkiewicz, A., Zak, J., 2002. The Design of the Physical Distribution System with the Application of the Multiple Objective Mathematical Programming. Case Study. In: Trzaskalik T., Michnik J. (eds.), Multiple Objective and Goal Programming. Recent Developments. Advances in Soft Computing. Physica-Verlag, Heidelberg, pp. 297–309.
• [6] Hillier, F.S., Lieberman, G.J., 2005. Introduction to Operations Research. McGraw-Hill, New York.
• [7] Jacquet-Lagreze, E., Siskos, J., 1982. Assessing a Set of Additive Utility Functions for Multicriteria Decision-Making, the UTA Method. European Journal of Operational Research, 10, pp. 151–164.
• [8] Kieffer, A.W., Novack, R.A., 1998. An Empirical Analysis of Warehouse Measurement Systems in the Context of Supply Chain Implementation. Transportation Journal, 38(3), pp. 18–26.
• [9] Kisperska-Moron, D., 1999. Warehousing Conditions for Holding Inventory in Polish Supply Chain. International Journal of Production Economics, 59, pp. 123–128.
• [10] Kopczak, L.R., 1997. Logistics Partnerships and Supply Chain Restructuring: Survey Results from the VS Computer Industry. Production and Operations Management, 6(3), pp. 226–247.
• [11] Korpela, J., Lehmusvaara, A., 1999. A Customer Oriented Approach to Warehouse Network Evaluation and Design. International Journal of Production Economics, 59, pp. 135–146.
• [12] Landers, T.L., Cole, M.H., Walker, B., Kirk, R.W., 2000. The Virtual Warehousing Concept. Transportation Research, 36E(2), pp. 115–125.
• [13] McKinnon, A., 1989. Physical Distribution Systems. Routledge, New York.
• [14] Ross, D.F., 1996. Distribution. Planning and Control. Kluwer Academic Publishers, Boston.
• [15] Roubens, M., 1982. Preference Relations on Actions and Criteria in Multicriteria Decision Making. European Journal of Operational Research, 10, pp. 51–55.
• [16] Rouwenhorst, B., Reuter, B., Strockrahm, G.J., Van Houtum, G.J., Mantel, R.J., Zijm, W.H.M., 2000. Warehouse Design and Control: Framework and Literature Review. European Journal of Operational Research, 122, pp. 515–533.
• [17] Roy, B., 1990a. Decision-Aid and Decision Making. European Journal of Operational Research, 45, pp. 324–331.
• [18] Roy, B., 1990b. The Outranking Approach and the Foundations of ELECTRE Methods. In: Bana e Costa C.A. (ed.), Readings in Multiple Criteria Decision Aid. Springer-Verlag, Berlin, pp. 155–183.
• [19] Saaty, T.L., 1980. The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation. McGraw-Hill, New York.
• [20] Steuer, R., 1986. Multiple Criteria Optimization: Theory, Computation and Application. John Wiley & Sons, New York.
• [21] Van den Berg, J.P., Zijm, W.H.M., 1999. Models for Warehouse Management: Classification and Examples. International Journal of Production Economics, 59, pp. 519–528.
• [22] Vincke, P., 1992. Multicriteria Decision-Aid. John Wiley & Sons, Chichester.
• [23] Wegryn, G.W., Siprelle, A.J., 2001. Combined Use of Optimization and Simulation Technologies to Design an Optimal Logistics Network. Proceedings of the Annual Conference: Council of Logistics Management, Kansas City, 21 September – 3 October, CD Proceedings.
• [24] Zak, J., 2002. The MCDA Methodology Applied to Solve Complex Transportation Decision Problems. Proceedings of the 9th Meeting of the EURO Working Group on Transportation: Intermodality, Sustainability and Intelligent Transportation Systems, Bari, 10–13 June, pp. 685–693.
• [25] Żak, J., 2005. Wielokryterialne wspomaganie decyzji w transporcie drogowym. Wydawnictwo Politechniki Poznańskiej, Poznań.
• [26] Żak, J., 2010. Application of Operations Research Techniques to the Redesign of the Distribution Systems. In: Dangelmaier W., Blecken A., Deluis R., Klopfer S. (eds.), Advanced Manufacturing and Sustainable Logistics. Springer, Lecture Notes in Business Information Processing, 46, pp. 57–72.
• [27] Żak, J., Redmer, A., Jaszkiewicz, A., 2000. Location Analysis of the Infrastructure in the Transportation System. Single and Bi-criterion Optimization. Proceedings of the 4th International Workshop on Transportation Planning Methodologies for Developing Countries, Bombay, December 5–7, CD Proceedings.
• [28] Żak, J., Sawicki, P., 2000. The Multi-objective Ranking of the Warehouse in the Physical Distribution System. Proceedings of the 4th International Workshop on Transportation Planning and Implementation Methodologies for Developing Countries: Transportation Infrastructure, Bombay, December 5–7, CD Proceedings.
• [29] Zak, J., Wlodarczak, H., Kicinski, M., 2002. The MCDM Based Redesign of the Distribution System. Proceedings of the 9th Meeting of the EURO Working Group on Transportation: Intermodality, Sustainability and Intelligent Transportation Systems, Bari, 10–13 June, pp. 665–670.

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).