Abstract
Analytic Process of State (APS) is a new approach to deal with the complex discrete processes in the real world, such as the production process in a manufacturing system. It decomposes a complex process into a series of simple processes through a concept known as “basic entity”. These simple processes are solved with an analysis of process state. In the problem-solving process, APS just concentrates on the points in which some decision is necessary for the resolution, known as decision points. In this paper, a linear combined priority model is introduced and applied to make decisions in the decision points. A local search algorithm is proposed to build such a priority model. An example of application of APS with combined priority to a flexible manufacturing system scheduling problem is presented.
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© 1996 Springer Science+Business Media Dordrecht
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Xiao-Bing, W. (1996). Analytic Process of State and Linear Combined Priority. In: Camarinha-Matos, L.M., Afsarmanesh, H. (eds) Balanced Automation Systems II. BASYS 1996. IFIP Advances in Information and Communication Technology. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-35065-3_8
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DOI: https://doi.org/10.1007/978-0-387-35065-3_8
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