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An Agent-based Architecture for Reverse Logistics in Cloud Manufacturing
, M.Sc. Thesis Sharif University of Technology ; Houshmand, Mahmoud (Supervisor)
Abstract
Cloud Manufacturing (CMfg) which is one of the newest and important business models, can have a great effect in enterprises' success by sharing information and production resources among them. Due to the semi-made products which should be transferred between distributed production centers, Logistics and Transportation concept in CMfg are very important. Reverse Logistics (RL) that is the flow of used products from customer to manufacturer, by its role in recycling and proper disposal of components, has a great impact on industry effect on environment and helps enteprises to make better profit. Despite this importance, working on RL in CMfg has not been paid attention to in former researches....
Integrated forward and reverse logistics in cloud manufacturing: an agent-based multi-layer architecture and optimization via genetic algorithm
, Article Production Engineering ; Volume 15, Issue 6 , 2021 , Pages 801-819 ; 09446524 (ISSN) ; Akbaripour, H ; Houshmand, M ; Sharif University of Technology
Springer Science and Business Media Deutschland GmbH
2021
Abstract
Cloud manufacturing (CMfg) is a new service-oriented manufacturing paradigm that enables distributed collaboration between manufacturers. As logistics between geographically dispersed manufacturers is indispensable in CMfg environment, and the responsibility for the whole lifecycle of products becomes more important for manufacturers, we have taken into account both forward and reverse logistics services in CMfg. Unlike most of the research in the field, this paper not only addresses the special needs of CMfg system from reverse logistics perspective but also considers the transportation of returned products. For this purpose, an agent-based architecture for tackling reverse flows in CMfg is...
An agent-based clustering algorithm using potential fields
, Article 6th IEEE/ACS International Conference on Computer Systems and Applications, AICCSA 2008, Doha, 31 March 2008 through 4 April 2008 ; 2008 , Pages 551-558 ; 9781424419685 (ISBN) ; Bagheri Shouraki, S ; Lucas, C ; Sharif University of Technology
2008
Abstract
In this paper, a novel clustering algorithm using an agent-based architecture along with a force-based clustering algorithm is proposed. To this end, a set of simple mobile agents thai have limited processing power is used. These agents communicate in a pairwise manner to exchange their position information. As opposed to the bio-inspired clustering algorithms that need a set of local rules to specify the agent movements, in this paper the agent motions are driven from attractive and repulsive potential fields that are created by the data points and the other agents respectively. Each agent moves according to the resulted force from applying the potential fields and announces its next...