Designing a generic human-machine framework for real-time supply chain planning. Issue 2 (30th December 2016)

• Record Type: Journal Article
• Authors: Gaudreault, Jonathan; Quimper, Claude-Guy; Marier, Philippe; Bouchard, Mathieu; Chéné, François; Bouchard, Jean
• Is Part Of: Journal of computational design and engineering. Volume 4:Issue 2(2017)
• Page Start: 69
• Page End: 85
• Publication Date: 2016-12-30
• Subjects: Linear optimization -- Mixed-initiative systems -- Supply chain optimization -- Human-machine interaction -- Tactical planning; Engineering -- Data processing -- Periodicals; Computer-aided design -- Periodicals; Computer-aided design; Engineering -- Data processing; Electronic journals; Electronic journals; Periodicals; 620.0042
• DOI: 10.1016/j.jcde.2016.12.001
• Languages: English
• ISSNs: 2288-4300

Abstract

Abstract: Mixed-Initiative-Systems (MIS) are hybrid decision-making systems in which human and machine collaborate in order to produce a solution. This paper described an MIS adapted to business optimization problems. These problems can usually be solved in less than an hour as they show a linear structure. However, this delay is unacceptable for iterative and interactive decision-making contexts where users need to provide their input. Therefore, we propose a system providing the decision-makers with a convex hull of optimal solutions that minimize/maximize the variables of interest. The users can interactively modify the value of a variable and the system is able to recompute a new optimal solution in a few milliseconds. Four real-time reoptimization methods are described and evaluated. We also propose an improvement to this basic scheme in order to allow a user to explore near-optimal solutions as well. Examples showing real case of how we have exploited this framework within interactive decision support software are given. Graphical abstract: