Applied Mathematics & Information Sciences
Abstract
In the era of globalization, integrated planning for production, workforce, and capacity is the key factor for attaining success in any industry. This paper provides a mathematical model to determine the best possible combination of required capacity, workforce, and lot size for a multi-product, multi-stage, and multi-model production system. The model provides a blueprint of a detailed workforce distribution plan to optimize the available capacity and determine the ideal lot size based on the ways (i.e. tray/trolley) of handling material to control the space required for setup and floor area. This model uses linear programming to reduce the manufacturing cost. A real-world numerical illustration proves the competency of this model, which - for an industry - serves as a practical guide to achieve the best combination of capacity, workforce, and lot size.
Digital Object Identifier (DOI)
http://dx.doi.org/10.18576/amis/130309
Recommended Citation
Sivasundari, M.; Suryaprakasa Rao, K.; and Raju, R.
(2019)
"Production, Capacity and Workforce Planning: A Mathematical Model Approach,"
Applied Mathematics & Information Sciences: Vol. 13:
Iss.
3, Article 9.
DOI: http://dx.doi.org/10.18576/amis/130309
Available at:
https://digitalcommons.aaru.edu.jo/amis/vol13/iss3/9