A HEURISTIC SCHEDULING POLICY FOR MULTIITEM, MULTIMACHINE PRODUCTION SYSTEMS WITH TIME-VARYING, STOCHASTIC DEMANDS

• Type: Article in International Scientific Journal
• Date: 1994

Authors

GONCALVES, JF (Author) FEUP; LEACHMAN, RC (Author) Other; GASCON, A (Author) Other; XIONG, ZK (Author) Other

Journal

Title: Management Science

Vol. 40 No. 11

Pages: 1455-1468

ISSN: 0025-1909

Publisher: Institute for Operations Research and the Management Sciences

Indexing

ISI Web of Knowledge - 8 Citations

Scopus - 10 Citations

Scientific classification

FOS: Engineering and technology > Industrial biotechnology

Other information

Authenticus ID: P-001-JDB

DOI: 10.1287/mnsc.40.11.1455

Abstract (EN): An effective scheduling policy known as the Dynamic Cycle Lengths Heuristic was introduced by Leachman and Gascon in 1988 for the multi-item, single-machine production system facing stochastic, time-varying demands. In this article we develop a heuristic scheduling policy for the multi-machine extension of the same problem. We integrate the concepts of the Dynamic Cycle Lengths Heuristic with a nonlinear integer optimization model to obtain an overall scheduling policy that allocates items to machines and schedules production quantities during the next time period. We report promising performance in limited simulation tests of the policy.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 14