Universiti Teknologi Malaysia Institutional Repository

Generation of look-up tables for dynamic job shop scheduling decision support tool

Oktaviandri, M. and Hassan, A. and Shaharoun, A. M. (2016) Generation of look-up tables for dynamic job shop scheduling decision support tool. In: Joint Conference of 2nd International Manufacturing Engineering Conference, iMEC 2015 and 3rd Asia-Pacific Conference on Manufacturing Systems, APCOMS 2015, 12 - 14 Nov 2015, Kuala Lumpur, Malaysia.

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Abstract

Majority of existing scheduling techniques are based on static demand and deterministic processing time, while most job shop scheduling problem are concerned with dynamic demand and stochastic processing time. As a consequence, the solutions obtained from the traditional scheduling technique are ineffective wherever changes occur to the system. Therefore, this research intends to develop a decision support tool (DST) based on promising artificial intelligent that is able to accommodate the dynamics that regularly occur in job shop scheduling problem. The DST was designed through three phases, i.e. (i) the look-up table generation, (ii) inverse model development and (iii) integration of DST components. This paper reports the generation of look-up tables for various scenarios as a part in development of the DST. A discrete event simulation model was used to compare the performance among SPT, EDD, FCFS, S/OPN and Slack rules; the best performances measures (mean flow time, mean tardiness and mean lateness) and the job order requirement (inter-arrival time, due dates tightness and setup time ratio) which were compiled into look-up tables. The well-known 6/6/J/Cmax Problem from Muth and Thompson (1963) was used as a case study. In the future, the performance measure of various scheduling scenarios and the job order requirement will be mapped using ANN inverse model.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:Artificial intelligence, Decision support systems, Decision tables, Discrete event simulation
Subjects:H Social Sciences > HD Industries. Land use. Labor
Divisions:Mechanical Engineering
ID Code:73367
Deposited By: Mohd Zulaihi Zainudin
Deposited On:21 Nov 2017 11:28
Last Modified:21 Nov 2017 11:28

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