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Optimization in Industrial Systems
Author(s) -
Kok Lay Teo,
HsiaoFan Wang,
Changzhi Wu
Publication year - 2014
Publication title -
mathematical problems in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.262
H-Index - 62
eISSN - 1026-7077
pISSN - 1024-123X
DOI - 10.1155/2014/824539
Subject(s) - process (computing) , computer science , supply chain optimization , industrial engineering , management science , system optimization , manufacturing engineering , supply chain , engineering management , operations research , systems engineering , engineering , supply chain management , business , mathematical optimization , mathematics , marketing , operating system
Industrial systems are concerned with the organization and effective utilization of available resources of modern manufacturing and process industries so as to minimize wastes of time, money, materials, and energy. It is thus clear that optimization in industrial systems is crucial for the competiveness of any industry in a highly competitive economic environment. Consequently, how to utilize advanced modelling and optimization technologies as well as to develop new modelling and optimizations methods to design and manage these systems has attracted the interest of many mathematicians, engineers, and practitioners. Our intention with this special issue is to provide an opportunity for researchers to facilitate the dissemination of their latest theoretical findings and computational methodologies in modelling, control, and optimization of industrial systems. Thus, we invite authors to submit original research and review papers on novel optimization theory and methodologies as well as their applications in industrial practice.We have received many submissions. All the submitted manuscripts have subjected to rigorous peer-reviewing process and 19 original research articles are finally selected to be published based on reviewers’ recommendations. In general, these papers have touched upon research topics in performance evaluation and optimization in supply chain and construction, modelling and optimization in manufacturing, optimal power allocation, and new optimization algorithm developments.

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