Journal article
Calibrating cross-training to meet demand mix variation and employee absence
European journal of operational research, Vol.248(2), pp.462-472
01/16/2016
DOI: 10.1016/j.ejor.2015.07.036
Abstract
•We study the cross-training that a work team needs in order to cope with demand mix variation.•Demand mix variation is defined in a straightforward, business sense manner.•A certain level of absences is also considered.•To numerically solve the problem a constraint-based selection procedure is developed.
We address the problem of determining the cross-training that a work team needs in order to cope with demand mix variation and absences. We consider the case in which all workers can be trained on all tasks, the workforce is a resource that determines the capacity and a complete forecasting of demand is not available. The demand mix variation that the organization wants to be able to cope with is fixed by establishing a maximum time to devote to each product. We contend that this approach is straightforward, has managerial practicality and can be applied to a broad range of practical scenarios. It is required that the demand mix variation be met, even if there are a certain level of absences. To numerically solve the mathematical problem, a constraint-based selection procedure is developed, which we term CODEMI. We provide illustrated examples demonstrating solution quality for the approximation, and we report on an illustrative set of computational cases.
Details
- Title: Subtitle
- Calibrating cross-training to meet demand mix variation and employee absence
- Creators
- Jordi Olivella - The Polytechnic University of JapanDavid Nembhard - Pennsylvania State University
- Resource Type
- Journal article
- Publication Details
- European journal of operational research, Vol.248(2), pp.462-472
- DOI
- 10.1016/j.ejor.2015.07.036
- ISSN
- 0377-2217
- eISSN
- 1872-6860
- Publisher
- Elsevier B.V
- Language
- English
- Date published
- 01/16/2016
- Academic Unit
- Industrial and Systems Engineering; Business Analytics
- Record Identifier
- 9984186584702771
Metrics
19 Record Views