Decision Sciences Journal 31(4) Index


Decision Sciences Journal
Volume 31, Number 4
Fall 2000

 

Order Dispatching and Labor Assignment in Cellular Manufacturing Systems

Darwin J. Davis
Department of Business Administration, University of Delaware, Newark, DE 19716, email: dd@udel.edu

Vincent A. Mabert
Department of Operations and Decision Technologies, Indiana University,
Bloomington, IN 47405

Abstract. Although order and labor dispatching in the job shop manufacturing setting have been investigated extensively over the last three decades, its representation of actual processes found in practice today is limited due to the move to cellular manufacturing (CM). Manufacturing cells have become an important approach to batch manufacturing in the last two decades, and their layout structure provides a dominant flow structure for the part routings. The flow shop nature of manufacturing cells adds a simplifying structure to the problem of planning worker assignments and order releases, which makes it more amenable to the use of optimization techniques. In this paper we exploit this characteristic and present two mathematical modeling approaches for making order dispatching and labor assignment/reassignment decisions in two different CM settings. The two formulations are evaluated in a dynamic simulation setting and compared to a heuristic procedure using tardiness as the primary performance measure. The formulations are superior to the heuristic approach and can be incorporated into detail scheduling systems that are being implemented by corporations employing enterprise resource planning (ERP) systems today.

Subject Areas: Cellular Manufacturing, Labor Scheduling, Order Dispatching, Mathematical Programming, and Simulation.

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