JOURNAL ARTICLE
Control and optimization of workforce outsourcing decisions.
Published In: IMA Journal of Management Mathematics, 2023, v. 34, n. 2. P. 307 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Nilakantan, Kannan 3 of 3
Abstract
The article focuses on developing a mathematical model for organizations employing both internal employees (IEs) and outsource/offshore employees (OEs) to analyze, monitor, and control the extent and distribution of outsourcing within hierarchical manpower systems. Using Markov models, it derives control policies based on proportionality restrictions that regulate OE recruitment relative to internal promotions, addressing competitive and non-competitive scenarios between IEs and OEs. The study establishes feasibility conditions for desired long-run blends of internal and outsource staff, provides methods to adjust infeasible blend targets, and formulates an optimization framework to maximize cost savings from outsourcing under constraints on total outsource manpower. Computational examples illustrate the application of these models, demonstrating how organizations can balance cost efficiency with workforce composition control, making the models useful decision-making tools for managing outsourcing strategies.
Additional Information
- Source:IMA Journal of Management Mathematics. 2023/04, Vol. 34, Issue 2, p307
- Document Type:Article
- Subject Area:Business and Management
- Publication Date:2023
- ISSN:1471-678X
- DOI:10.1093/imaman/dpac007
- Accession Number:162327149
- Copyright Statement:Copyright of IMA Journal of Management Mathematics is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.