NDLI: Dynamic bi-objective Pareto-schedule generation and control in semiconductor supply chain

Content Provider	IEEE Xplore Digital Library
Author	Ganesan, V.K. Gupta, A.K. Sivakumar, A.I.
Copyright Year	2004
Description	Author affiliation: Singapore MIT Alliance, Singapore (Ganesan, V.K.)
Abstract	This work introduces the concept of Pareto-controllability of objectives in dynamic scheduling of single machine systems in a production supply chain. A convex combination approach based on compromise programming is presented in this paper to achieve the desired level of control in dynamic scheduling considering two contradicting objectives, viz., the mean cycle time and the maximum tardiness. At each decision instance during simulation, a Pareto-job is selected using the convex combination approach and loaded on the machine for processing. This approach uses the combination of the concepts of simulation and scheduling together, called as conjunctive simulated scheduling (CSS), for dynamic scheduling of jobs in production environment. We demonstrate using simulation experiments the concept of Pareto-controllability, and show how a single machine system can be controlled at specified operating conditions (scheduling objectives) dictated by the customer demands, which vary with time based on dynamic market forces.
Starting Page	1212
Ending Page	1216
File Size	348695
Page Count	5
File Format	PDF
ISBN	0780385195
DOI	10.1109/IEMC.2004.1408886
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-10-18
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Supply chains Dynamic scheduling Job shop scheduling Single machine scheduling Manufacturing processes Controllability Clocks Production engineering Production systems Dynamic programming
Content Type	Text
Resource Type	Article

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