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Single-Machine Due-Window Assignment and Scheduling with Learning Effect and Resource-Dependent Processing Times

Ji-Bo Wang () and Ming-Zheng Wang ()
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Ji-Bo Wang: School of Science, Shenyang Aerospace University, Shenyang 110136, P. R. China;
Ming-Zheng Wang: School of Management Science and Engineering, Dalian University of Technology, Dalian 116024, P. R. China

Asia-Pacific Journal of Operational Research (APJOR), 2014, vol. 31, issue 05, 1-15

Abstract: We consider a single-machine common due-window assignment scheduling problem, in which the processing time of a job is a function of its position in a sequence and its resource allocation. The window location and size, along with the associated job schedule that minimizes a certain cost function, are to be determined. This function is made up of costs associated with the window location, window size, earliness, and tardiness. For two different processing time functions, we provide a polynomial time algorithm to find the optimal job sequence and resource allocation, respectively.

Keywords: Scheduling; learning effect; single-machine; resource allocation; due-window; polynomial time algorithm (search for similar items in EconPapers)
Date: 2014
References: View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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DOI: 10.1142/S0217595914500365

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