Dynamic assignment of a multi-skilled workforce in job shops: An approximate dynamic programming approach
Luis Mauricio Annear,
Raha Akhavan-Tabatabaei and
Verena Schmid
European Journal of Operational Research, 2023, vol. 306, issue 3, 1109-1125
Abstract:
We propose an approximate algorithm to dynamically assign a multi-skilled workforce to the stations of a job shop, with demand uncertainty and variability in the availability of the resources, to maximize productivity.
Keywords: Dynamic programming; Approximate dynamic programming; Workforce planning; Job-shops (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0377221722006920
Full text for ScienceDirect subscribers only
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:eee:ejores:v:306:y:2023:i:3:p:1109-1125
DOI: 10.1016/j.ejor.2022.08.049
Access Statistics for this article
European Journal of Operational Research is currently edited by Roman Slowinski, Jesus Artalejo, Jean-Charles. Billaut, Robert Dyson and Lorenzo Peccati
More articles in European Journal of Operational Research from Elsevier
Bibliographic data for series maintained by Catherine Liu ().