Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/104533
| Title: | Scheduling jobs with controllable processing time, truncated job-dependent learning and deterioration effects | Authors: | Wang, JB Liu, M Yin, N Ji, P |
Issue Date: | Apr-2017 | Source: | Journal of industrial and management optimization, Apr. 2017, v. 13, no. 2, p. 1025-1039 | Abstract: | In this paper, we consider single machine scheduling problems with controllable processing time (resource allocation), truncated job-dependent learning and deterioration effects. The goal is to find the optimal sequence of jobs and the optimal resource allocation separately for minimizing a cost function containing makespan (total completion time, total absolute differences in completion times) and/or total resource cost. For two different processing time functions, i.e., a linear and a convex function of the amount of a common continuously divisible resource allocated to the job, we solve them in polynomial time respectively. | Keywords: | Deterioration job Learning effect Resource allocation Scheduling |
Publisher: | American Institute of Mathematical Sciences | Journal: | Journal of industrial and management optimization | ISSN: | 1547-5816 | EISSN: | 1553-166X | DOI: | 10.3934/jimo.2016060 | Rights: | This article has been published in a revised form in Journal of Industrial and Management Optimization [http://dx.doi.org/10.3934/jimo.2016060]. This version is free to download for private research and study only. Not for redistribution, re-sale or use in derivative works. |
| Appears in Collections: | Journal/Magazine Article |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Ji_Scheduling_Jobs_Controllable.pdf | Pre-Published version | 697.38 kB | Adobe PDF | View/Open |
Page views
101
Last Week
4
4
Last month
Citations as of Nov 30, 2025
Downloads
38
Citations as of Nov 30, 2025
SCOPUSTM
Citations
37
Citations as of Dec 19, 2025
WEB OF SCIENCETM
Citations
32
Citations as of Dec 18, 2025
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.



