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The joined travelling of vehicles is an important instrument of cost reduction in the innovative RailCab concept. While the problem of joining groups of vehicles into convoys and determining convoy routes can be easily understood as optimization problem, the distributed nature and large number of vehicles and stops inhibits the direct application of operations research methods and problems. In this...
A double agents-based model in a make-to-order supply chain (MTOSC), called collaborative single machine earliest/tardiness model (CSET model) is proposed. It integrates Pareto-optimal method with just-in-time principle (JIT) into two intelligent agents for optimizing dynamic supply chain formation and scheduling respectively. This model mainly focuses on improving the sequence timing factor. JIT...
One of the possibilities for improving decision processes, and the knowledge management across interacting organizations is to explore successful past experiences. Case-based reasoning (CBR) is a problem solving strategy which is based on the reuse of past solutions (cases) to address new problems. Ontologies are a means to facilitate sharing and reuse of bodies of knowledge across organizations and...
Nature inspired methods are a popular mean to control multiagent system (MAS) in logistic scenarios. Methods like pheromones or potential fields are used as primary control mechanism or for job assignment. Although empty runs are one of the main cost driver in logistics, this aspect is rarely considered in the job assignment procedures in logistic MAS. In this paper we introduce a combination of the...
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