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kerdegari--adeleh
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Optimization of Service Composition Problem in Cloud Manufacturing
, M.Sc. Thesis Sharif University of Technology ; Eshghi, Koroush (Supervisor)
Abstract
Service composition is an important problem in the cloud manufacturing paradigm in which, after receiving a customer request, combination of cloud services are determined for accomplishment of customer needs. Actually, customer need is decomposed to some distinct tasks such that each one is done by a company or a group of them. In this way, virtual and cloud-based production line can be developed based on requirements of customers. The ultimate goal of service composition is optimum assignment of tasks to factories while some objective functions (e.g. minimization of cost and time) and constraints (e.g. minimum reliability and availability) are considered. In this study, integer programming...
An imperialist competitive algorithm for service composition and optimal selection in cloud manufacturing
, Article 5th International Symposium on Computational and Business Intelligence, ISCBI 2017, 11 August 2017 through 14 August 2017 ; 2017 , Pages 129-133 ; 9781538617717 (ISBN) ; Houshmand, M ; Kerdegari, A ; Sharif University of Technology
2017
Abstract
Cloud manufacturing is an emerging service-oriented manufacturing paradigm that integrates and manages distributed manufacturing resources through which complex manufacturing demands with a high degree of customization can be fulfilled. The process of Service Composition and Optimal Selection (SCOS) is an important issue for practical implementation of cloud manufacturing. In this paper, a new Mixed Integer Programming (MIP) model for solving the SCOS with transportation consideration has been proposed. This model minimizes both manufacturing and transportation costs subject to some constraints such as necessity of transportation between manufacturing resources and the requirements specified...