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Quality modelling in agri-supply chains has become increasingly popular in R&D environments, because of the availability of large amounts of experimental data and mathematical models. At the same time, in industrial supply chains a strong need exists for support in making complex decisions with resp
This paper describes a modelling method that reduces the effort required to develop a decision support system for scheduling in food industry, based on constraint satisfaction techniques. Most food manufacturers schedule manually. Part of the information used by human planners is hard to formalise.
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