An (s,Q) policy with setup reduction in a single-stage batch manufacturing system

doi:10.1016/0305-0548(92)90055-A

Computers & Operations Research

Volume 19, Issue 1, January 1992, Pages 9-19

https://doi.org/10.1016/0305-0548(92)90055-A Get rights and content

Abstract

In this paper, we analyze an (s, Q) policy for a single-stage batch manufacturing system where the input items are gradually converted to the end product at a finite rate during the manufacturing period. The effects of setup reduction are considered. We assume that the demand for the end product is a general deterministic function of time horizon and that the input items are procured externally. The problem of minimizing the combined inventory costs of the end product and the input items is formulated as a mathematical programming problem, and a general solution methodology is developed. Using the power-form demand rate function, we present a numerical example.

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Cited by (2)

Manufacturing setup cost reduction under variable lead times and finite opportunities for investment
1997, International Journal of Production Economics
Previously, economic order quantity (EOQ) and economic manufacturing quantity (EMQ) models were extended to include the option of investing in setup cost reduction where the setup costs varies as a function of capital expense. Most of the earlier research on this issue has assumed that demand and lead times are deterministic. Recently, there has been investigations into an EOQ model which considers setup cost reduction in the variable lead time environment. This paper extends the previous research in two areas. First, the EOQ model with setup cost reduction in the variable lead time environment has been extended to the EMQ model which increases the applicability tremendously. Second, most of the previous research with setup cost reduction assumes that there is some form of continuous relationship between the amount of investment and the reduction in setup costs. This paper investigates a more realistic situation where there is only a finite number of opportunities for setup cost reduction investment.
Setup cost reduction in the lumpy demand production quantity model with discounting
2000, International Journal of Information and Management Sciences

^‡: Jae-Dong Hong is an Assistant Professor of Industrial Engineering at South Carolina State University, Orangeburg, S.C. Dr Hong received his B.S. degree from Korea University, Seoul, Korea and his M.S. and Ph.D. from Penn State University, all in Industrial Engineering. His research and publications are primarily in the areas of optimization of production and inventory control systems and manufacturing strategy. He has research papers published or forthcoming in Computers & Operations Research, European Journal of Operational Research, Journal of Operational Research Society, International Journal of Production Research, Computers & Industrial Engineering, Annals of the American Logistics Society and Decision Sciences.

^§: Jack C. Hayya is a Professor of Management Sciences at Penn State University. He received a B.S. in Civil Engineering from the University of Illinois, an M.S. in Management from California State University at Northridge and a Ph.D. in Business from UCLA. Dr Hayya has been serving as an Associate Editor for Decision Sciences, is an Area Editor for Production and Operations Management and is on the Editorial Board of Journal of Operations Management.

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An (s,Q) policy with setup reduction in a single-stage batch manufacturing system

Abstract

Computers Ops Res.

Optimal and heuristic procedures for component lot-splitting in multi-stage manufacturing systems

Mgmt Sci.

Zero Inventories

Attaining Manufacturing Excellence

Investing in reduced setups in the EOQ model

Mgmt Sci.

Optimal lot sizing, process quality improvement and setup cost reduction

Ops Res.

Lot sizing and work-in-process inventories in single stage production systems

An integrated inventory model for a single product system

Ops Res. Q.

On an (s, Q) production policy for an integrated inventory model for a single product with linearly increasing demand

J. Opl Res. Soc.