NDLI: An artificial immune system algorithm for optimizing the distributed production scheduling in the semiconductor assembly industry

Content Provider	IEEE Xplore Digital Library
Author	Mohd Anuar, N.I. Yusof, U.K. Nor Akmal Khalid, M.
Copyright Year	2013
Description	Author affiliation: Sch. of Comput. Sci., Univ. Sains Malaysia, Minden, Malaysia (Mohd Anuar, N.I.; Yusof, U.K.; Nor Akmal Khalid, M.)
Abstract	The semiconductor industry faces one of the most challenging and rapidly evolving problem in each passing time. The importance of satisfying customer demands and achieving higher profits have increased the attention towards production scheduling in semiconductor assembly areas. Combination of productivity and flexibility provided by semiconductor assembly areas have attracted many research efforts for several years. Additionally, recent globalization events have encouraged decentralized efforts in the semiconductor assembly industry by implementing distributed systems. With respect to the previously mentioned problems, several approaches have been introduced namely Petri nets, Ant Colony, Genetic Algorithm, Intelligent Agents, and hybrids of the latter. A new model, using artificial immune system (AIS) algorithm, slightly modified to conform to the manufacturing constraints, has been proposed and tested with an industrial dataset to establish its effectiveness. AIS algorithm is chosen due to its inherent self-learning capability and memory incubation features. The results from the experiments conducted show that the proposed algorithm is effective for the aforementioned problems where the production schedule efficiency increased from 30% to 60%.
Starting Page	259
Ending Page	264
File Size	611586
Page Count	6
File Format	PDF
e-ISBN	9781479935161
DOI	10.1109/ISDA.2013.6920745
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-08
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Schedules Production Logic gates distributed production scheduling Immune system artificial immune system Semiconductor industry
Content Type	Text
Resource Type	Article

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