Print Email Facebook Twitter Incorporating Expert Knowledge in Decision Support for Logistics: Balancing Costs and Customer Relations Title Incorporating Expert Knowledge in Decision Support for Logistics: Balancing Costs and Customer Relations Author Máhr, T. De Weerdt, M.M. Srour, F.J. Zuidwijk, R. Faculty Electrical Engineering, Mathematics and Computer Science Department Software Computer Technology Date 2006-11-21 Abstract Decision support within transport companies should not only use traditional objective functions, but also reason about qualitative effects on all involved actors. We propose a fuzzy logic rule base that can be used in addition to traditional operation research tools to calculate not just optimal solutions, but solutions that are optimal with respect to knowledge about the preferences and long-term effects on customers, employees, and the environment. We propose a fuzzy logic based judge module that is capable of evaluating logistical performance considering all parties involved in the act transporting a container. It is based on measurements of selected key performance indicators that are fuzzified and combined into satisfaction scores of customers, employees and society. Our proposed method not only enables the continuity of the quality of planning by storing and maintaining valuable expert knowledge, but can also explain decisions based on this knowledge. Subject decision support systemsvehicle routinglogisticsfuzzy logic To reference this document use: http://resolver.tudelft.nl/uuid:a40af62d-a6ab-4a0e-bb1c-038863bd0501 Publisher TRAIL Research School, DUP Science Source Proceedings of the 9th TRAIL congress: TRAIL in Motion, Rotterdam, The Netherlands, 21 November 2006 Part of collection Institutional Repository Document type conference paper Rights (c) 2006 The Author(s)TRAIL Research School Files PDF trail061.pdf 90.47 KB Close viewer /islandora/object/uuid:a40af62d-a6ab-4a0e-bb1c-038863bd0501/datastream/OBJ/view