The application of the multiple criteria decision making/aiding methodology to evaluation and redesign of logistics systems

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 while dealing with different categories of decision problems that arise in those systems. Major features and basic notions of MCDM/A methodology are presented. Different categories of MCDM/A methods are characterized and classified. Two case studies demonstrate possible 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 the 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 the multiple criteria evaluation and ranking of the logistics infrastructure objects, i.e. a set of warehouses – distribution centers. The decision problem is formulated as a multiple criteria ranking problem and solved with an application of ELECTRE III/IV method.

[1]  David Frederick Ross,et al.  Distribution: Planning and Control , 2012 .

[2]  Andrzej Jaszkiewicz,et al.  The Design of the Physical Distribution System with the Application of the Multiple Objective Mathematical Programming. Case Study , 2002 .

[3]  Matthias Ehrgott,et al.  Multiple criteria decision analysis: state of the art surveys , 2005 .

[4]  Graham K. Rand,et al.  Physical Distribution Systems , 1991 .

[5]  Robert A. Novack,et al.  AN EMPIRICAL ANALYSIS OF WAREHOUSE MEASUREMENT SYSTEMS IN THE CONTEXT OF SUPPLY CHAIN IMPLEMENTATION , 1999 .

[6]  M. Roubens Preference relations on actions and criteria in multicriteria decision making , 1982 .

[7]  J. Siskos Assessing a set of additive utility functions for multicriteria decision-making , 1982 .

[8]  Philippe Vincke,et al.  Multicriteria Decision-aid , 1993 .

[9]  A. Jaszkiewicz,et al.  Location Analysis of the Infrastructure in the Transportation System . Single and Bi-criterion Optimization , 2004 .

[10]  Thomas L. Landers,et al.  The virtual warehousing concept , 2000 .

[11]  J. Coyle,et al.  The management of business logistics , 1976 .

[12]  R. S. Laundy,et al.  Multiple Criteria Optimisation: Theory, Computation and Application , 1989 .

[13]  Willem H.M. Zijm,et al.  Models for warehouse management: Classification and examples , 1999 .

[14]  B. Roy Decision-aid and decision-making , 1990 .

[15]  B. Roy THE OUTRANKING APPROACH AND THE FOUNDATIONS OF ELECTRE METHODS , 1991 .

[16]  Lr Laura Kopczak,et al.  LOGISTICS PARTNERSHIPS AND SUPPLY CHAIN RESTRUCTURING: SURVEY RESULTS FROM THE U.S. COMPUTER INDUSTRY , 1997 .

[17]  W. H. M. Zijm,et al.  Warehouse design and control: Framework and literature review , 2000, Eur. J. Oper. Res..

[18]  Jean Pierre Brans,et al.  HOW TO SELECT AND HOW TO RANK PROJECTS: THE PROMETHEE METHOD , 1986 .

[19]  J. Żak Wielokryterialne wspomaganie decyzji w transporcie drogowym , 2005 .

[20]  A J Siprelle,et al.  COMBINED USE OF OPTIMIZATION AND SIMULATION TECHNOLOGIES TO DESIGN AN OPTIMAL LOGISTICS NETWORK , 2002 .

[21]  R. Faure,et al.  Introduction to operations research , 1968 .

[22]  J. Zak,et al.  THE MCDM * BASED REDESIGN OF THE DISTRIBUTION SYSTEM , 2003 .

[23]  Jacek Zak,et al.  Application of Operations Research Techniques to the Redesign of the Distribution Systems , 2010, Heinz Nixdorf Symposium.

[24]  Thomas L. Saaty,et al.  Multicriteria Decision Making: The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation , 1990 .

[25]  Warehousing conditions for holding inventory in Polish supply chains , 1999 .

[26]  Jukka Korpela,et al.  A customer oriented approach to warehouse network evaluation and design , 1999 .