A Scientific Tool for Workforce Management in BPO Companies
G. S. R. Murthy
Additional contact information
G. S. R. Murthy: Indian Statistical Institute
Chapter Chapter 6 in Applications of Operations Research and Management Science, 2015, pp 137-160 from Springer
Abstract:
Abstract There are many industries like the Business Process Outsourcing companies or industries where the operations involve receiving transaction/requests from clients and addressing them within a stipulated time. A common problem that is faced by these industries is that of planning and managing the agents/associates who receive the calls and address them. It turns out that this problem is too complex to handle manually without the aid of a software solution. A software tool that acts like decision support systems is badly required for routine decision making for this kind of problems. This work has evolved from one such requirement from an Information Technology Enabling Services (ITES) industry where the management found it very difficult to plan and manage effectively their human resources. Following a scientific approach, the company’s problem is formulated as an integer-linear programming problem and a software tool is developed to aid the management. The tool is Excel based, simple to use and can be effectively deployed as a decision support system. The tool is applied to various projects using past data to evaluate and compare different types of solutions. Based on the analysis, a useful metric is proposed to assess the management decisions for managing the human resources. The primary objective of this work is to promote business excellence through scientifically designed low cost solutions for the industries related to BPO and ITES.
Keywords: Business Process Outsourcing (BPO); BPO Companies; Information Technology Enabled Services (ITES); Integer Linear Programming Problem; Past Data (search for similar items in EconPapers)
Date: 2015
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
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:spr:isochp:978-3-319-17921-6_6
Ordering information: This item can be ordered from
http://www.springer.com/9783319179216
DOI: 10.1007/978-3-319-17921-6_6
Access Statistics for this chapter
More chapters in International Series in Operations Research & Management Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().