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Applied Mathematics & Information Sciences

Author Country (or Countries)

India

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

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