Negotiating Price/Delivery Date in a Stochastic Manufacturing Environment

IIE Transactions, Vol. 31, No. 3, pp. 255-270, 1999

43 Pages Posted: 9 Nov 2008 Last revised: 28 Nov 2008

See all articles by Mohsen Elhafsi

Mohsen Elhafsi

University of California-Riverside

Erik Rolland

Ohio State University

Abstract

We study a make-to-order manufacturing system consisting of several processing centers that are subject to failures and repairs. Our objective is to build a model that can be used as a tool for negotiating the delivery date and the price of a certain upcoming order. The model takes into account the congestion level of the shop floor at the time the order is placed. Based on the workload of the processing centers, the model splits the order into lots and assigns them to the processing centers so as to determine the order completion time associated with the minimum operating cost. The efficiency of the solution method for the model allows real-time decision-making while negotiating the price and delivery date of the order to be placed. Since the decisions are made based on a snapshot of the congestion level at the shop floor, using this model will reduce the conflict between the marketing and the production activities in manufacturing organizations

Keywords: Production Planning, Scheduling, Lot Sizing, Stochastic, Concave Minimization

Suggested Citation

Elhafsi, Mohsen and Rolland, Erik, Negotiating Price/Delivery Date in a Stochastic Manufacturing Environment. IIE Transactions, Vol. 31, No. 3, pp. 255-270, 1999, Available at SSRN: https://ssrn.com/abstract=1298080 or http://dx.doi.org/10.2139/ssrn.1298080

Mohsen Elhafsi (Contact Author)

University of California-Riverside ( email )

School of Business
900 University Avenue
Riverside, CA 92521
United States
951 827 4557 (Phone)
951 827 3970 (Fax)

HOME PAGE: http://https://profiles.ucr.edu/app/home/profile/melhafsi

Erik Rolland

Ohio State University ( email )

2100 Neil Avenue
Columbus, OH 43210
United States
614-292-7692 (Phone)
614-292-2118 (Fax)

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