A constraint programming model for the scheduling of JIT cross-docking systems with preemption
M. H. Fazel Zarandi (),
H. Khorshidian and
M. Akbarpour Shirazi
Additional contact information
M. H. Fazel Zarandi: Amirkabir University of Technology
H. Khorshidian: Amirkabir University of Technology
M. Akbarpour Shirazi: Amirkabir University of Technology
Journal of Intelligent Manufacturing, 2016, vol. 27, issue 2, No 2, 297-313
Abstract:
Abstract In this paper, a scheduling problem of minimizing the total of the earliness, tardiness and the number of preemption for the outbound trucks on a cross-dock system is considered. This problem, which is known to be NP-hard, is compatible with the concepts of just-in-time (JIT) production and supply chain management. A new multi-criteria model, with non-linear terms and integer variables, which cannot be solved efficiently for large sized problems, is proposed. This paper also shows how to map a JIT cross-dock model to a constraint satisfaction problem (CSP) and integer programming (IP). To solve the model for real size applications, a genetic algorithm (GA) is applied. Finally, a computational experiment is carried out to analyze the performances of CSP, GA and IP models with respect to modeling capability, solution quality and time.
Keywords: Cross-docking system; Just-in-time scheduling; Preemption; Constraint satisfaction problem; Genetic algorithm (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (5)
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DOI: 10.1007/s10845-013-0860-9
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