Decision Sciences Journal 31(1) Index


Decision Sciences Journal
Volume 31, Number 1
Winter 2000

An Empirical Investigation of Costs in Batching Decisions

Jeffrey L. Rummel
School of Business Administration, University of Connecticut, 368 Fairfield Road, U-41 OPIM, Storrs, CT 06269-2041, email: jrummel@sba.uconn.edu

ABSTRACT. This paper examines the use of costs and cost functions to model lot-sizing decisions in batch manufacturing. The cost functions used to model a wide variety of manufacturing systems are typically derived from average cost models of unconstrained inventory problems. The use of setups and average inventories as the basis for modeling the economics of a typical batch manufacturing cell is shown to be inadequate. An alternative physical model that focuses on lead times provides a model that more closely represents the underlying value of such a cell.

Subject Areas: Lot Sizing and Performance Evaluation.

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