A MIXED-INITIATIVE SYSTEM FOR INTERACTIVE TACTICAL SUPPLY CHAIN OPTIMIZATION
Résumé
Tactical supply-chain planning consists of deciding the amount of products produced, consumed, stored or transported for each period of a given time frame with a precise objective to optimize. Many mathematical models have been proposed but most of the time they do not exploit decision makers intuition and preferences. Mixed-Initiative Systems (MIS) aim to solve problems in a different way, coordinating the interaction of intelligent automated agents and humans. MIS were developed for discrete combinatorial optimization but recently, a novel MIS approach has been proposed for problems showing a linear structure, like tactical supply-chain optimization. This approach allows a decision maker to explore a space of optimal solutions. In this paper, this scheme is improved in order to allow a user to explore near-optimal solutions as well. Furthermore, instead of interacting with bar charts, the decision maker uses the map-based LogiLab user interface which allows him to view/modify in real time the flow between businesses of a forest-products supply chain.
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