Abstract
A single machine group scheduling problem with due date assignment and resource allocation is investigated. Based on production similarities, jobs are classified into groups and it is required that jobs within the same group are processed contiguously, in order to achieve high-volume production efficiency. Jobs in the same group are allowed to have different due dates. The job processing times are resource dependent, and both convex and bounded linear resource consumption functions are considered. The aim is minimizing an aggregate cost which takes into account earliness, tardiness, due date assignment and resource allocation costs, by finding a group schedule, due date assignment and resource allocation for all jobs. For both resource consumption functions, we present properties of the optimal solutions, and for the special case where the size of every group is the same and the minimum of the due date assignment cost and the tardiness cost for each job is identical, we present an algorithm to optimally solve the problem in \(O(n^3)\) time, where n is the total number of jobs.
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Acknowledgements
The authors are grateful to the two anonymous referees for their helpful comments and suggestions.
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This work was partially supported by the Major Program of National Natural Science Foundation of China under Grant Nos. 72192830 and 72192834, and the Key Project of National Natural Science Foundation of China under Grant No. 71732006.
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A preliminary version of this paper appears in Combinatorial Optimization and Applications, COCOA 2021. Lecture Notes in Computer Science, vol 13135, Springer, Cham.
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Chen, Y., Ma, X., Zhang, G. et al. On optimal due date assignment without restriction and resource allocation in group technology scheduling. J Comb Optim 45, 64 (2023). https://doi.org/10.1007/s10878-023-00993-z
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DOI: https://doi.org/10.1007/s10878-023-00993-z