Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/188824 
Year of Publication: 
2017
Citation: 
[Journal:] Journal of Industrial Engineering and Management (JIEM) [ISSN:] 2013-0953 [Volume:] 10 [Issue:] 2 [Publisher:] OmniaScience [Place:] Barcelona [Year:] 2017 [Pages:] 352-372
Publisher: 
OmniaScience, Barcelona
Abstract: 
Purpose: In the model, we used the concepts of Lee and Amaral (2002) and Tang and Zhou (2009) and offer a multi-criteria decision-making model that identify the decoupling points to aim to minimize production costs, minimize the product delivery time to customer and maximize their satisfaction. Design/methodology/approach: We encounter with a triple-objective model that meta-heuristic method (NSGA II) is used to solve the model and to identify the Pareto optimal points. The max (min) method was used. Findings: Our results of using NSGA II to find Pareto optimal solutions demonstrate good performance of NSGA II to extract Pareto solutions in proposed model that considers determining of decoupling point in a supply network. Originality/value: So far, several approaches to model the future have been proposed, of course, each of them modeled a part of this concept. This concept has been considered more general in the model that defined in follow. In this model, we face with a multi-criteria decision problem that includes minimization of the production costs and product delivery time to customers as well as customer consistency maximization.
Subjects: 
industrial systems
analysis points
pareto optimal points
multi-criteria decision
meta-heuristic algorithm
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by-nc Logo
Document Type: 
Article

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