Algorithms for Multi-Customer Scheduling with Outsourcing

Qi Feng and Shisheng Li
Additional contact information
Qi Feng: College of Science, Zhongyuan University of Technology, Zhengzhou 450007, China
Shisheng Li: College of Science, Zhongyuan University of Technology, Zhengzhou 450007, China

Mathematics, 2022, vol. 10, issue 9, 1-12

Abstract: There are two customers and two uniform machines. Each customer has a set of jobs. These jobs may be processed on a uniform machine or may be outsourced with an outsourcing cost. Every customer has an objective function for his jobs. Manufacturers want to find the best scheduling scheme for both customers. We present algorithms for these problems for the first time.

Keywords: scheduling; customer; uniform machines; algorithm (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2227-7390/10/9/1553/pdf (application/pdf)
https://www.mdpi.com/2227-7390/10/9/1553/ (text/html)

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:gam:jmathe:v:10:y:2022:i:9:p:1553-:d:808845

Access Statistics for this article

Mathematics is currently edited by Ms. Emma He

More articles in Mathematics from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().