Flow Shop Resource Allocation Scheduling with Due Date Assignment, Learning Effect and Position-Dependent Weights

Wei-Wei Liu and Chong Jiang
Additional contact information
Wei-Wei Liu: Department of Basic, Shenyang Sport University, Shenyang 110102, P. R. China2School of Computer Science and Engineering, Northeastern University, Shenyang 110169, P. R. China
Chong Jiang: Department of Sport Education and Humanity, Nanjing Sport Institute, Nanjing 210014, P. R. China

Asia-Pacific Journal of Operational Research (APJOR), 2020, vol. 37, issue 03, 1-27

Abstract: In this paper, the flow shop resource allocation scheduling with learning effect and position-dependent weights on two-machine no-wait setting is considered. Under common due date assignment and slack due date assignment rules, a bi-criteria analysis is provided. The optimality properties and polynomial time algorithms are developed to solve four versions of the problem. For a special case of the problem, it is proved that the problem can be optimally solved by a lower order algorithm.

Keywords: Scheduling; flow shop; learning effect; no-wait; resource allocation (search for similar items in EconPapers)
Date: 2020
References: Add references at CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
https://www.worldscientific.com/doi/abs/10.1142/S0217595920500141
Access to full text is restricted to subscribers

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wsi:apjorx:v:37:y:2020:i:03:n:s0217595920500141

Ordering information: This journal article can be ordered from

DOI: 10.1142/S0217595920500141

Access Statistics for this article

Asia-Pacific Journal of Operational Research (APJOR) is currently edited by Gongyun Zhao

More articles in Asia-Pacific Journal of Operational Research (APJOR) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().