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Single-Machine Scheduling with Learning Effect, Deteriorating Jobs and Convex Resource Dependent Processing Times

Xin-Jun Li (), Jian-Jun Wang () and Xue-Ru Wang ()
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Xin-Jun Li: Faculty of Management and Economics, Dalian University of Technology, Dalian 116024, P. R. China;
Jian-Jun Wang: Faculty of Management and Economics, Dalian University of Technology, Dalian 116024, P. R. China
Xue-Ru Wang: School of Science, Shenyang Aerospace University, Shenyang 110136, P. R. China

Asia-Pacific Journal of Operational Research (APJOR), 2015, vol. 32, issue 05, 1-12

Abstract: This paper considers single-machine scheduling with learning effect, deteriorating jobs and convex resource dependent processing times, i.e., the processing time of a job is a function of its starting time, its position in a sequence and its convex resource allocation. The objective is to find the optimal sequence of jobs and the optimal convex resource allocation separately to minimize a cost function containing makespan, total completion (waiting) time, total absolute differences in completion (waiting) times and total resource cost. It is proved that the problem can be solved in polynomial time.

Keywords: Scheduling; learning effect; deteriorating jobs; resource allocation; single-machine (search for similar items in EconPapers)
Date: 2015
References: View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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DOI: 10.1142/S0217595915500335

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