Scheduling with Group Technology, Resource Allocation, and Learning Effect Simultaneously

Ming-Hui Li, Dan-Yang Lv, Yuan-Yuan Lu and Ji-Bo Wang ()
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Ming-Hui Li: School of Science, Shenyang Aerospace University, Shenyang 110136, China
Dan-Yang Lv: School of Science, Shenyang Aerospace University, Shenyang 110136, China
Yuan-Yuan Lu: College of Mathematics and Computer, Jilin Normal University, Siping 136000, China
Ji-Bo Wang: School of Science, Shenyang Aerospace University, Shenyang 110136, China

Mathematics, 2024, vol. 12, issue 7, 1-21

Abstract: This paper studies the single-machine group scheduling problem with convex resource allocation and learning effect. The number of jobs in each group is different, and the corresponding common due dates are also different, where the processing time of jobs follows a convex function of resource allocation. Under common due date assignment, the objective is to minimize the weighted sum of earliness, tardiness, common due date, resource consumption, and makespan. To solve the problem, we present the heuristic, simulated annealing, and branch-and-bound algorithms. Computational experiments indicate that the proposed algorithms are effective.

Keywords: scheduling; group technology; resource allocation; common due date; learning effect (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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