Searching for just a few words should be enough to get started. If you need to make more complex queries, use the tips below to guide you.
Article type: Research Article
Authors: Ghomi-Avili, Mortezaa | Khosrojerdi, Amirb | Tavakkoli-Moghaddam, Rezab; c; d; *
Affiliations: [a] School of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran | [b] School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran | [c] Universal Scientific Education and Research Network (USERN), Tehran, Iran | [d] Arts et Métiers ParisTech, LCFC, Metz, France
Correspondence: [*] Corresponding author. Reza Tavakkoli-Moghaddam, E-mail: [email protected].
Abstract: This paper presents a multi-objective model for the closed-loop supply chain network design (CLSCND) with a price-dependent demand while considering random disruptions and shortage. This network consists of suppliers, production centers, collection/inspection centers, disposal centers, and market zones. In this model, a demand function is assumed to be a function of price offered to the customer by two different linear and exponential forms. Different resilience strategies including lateral transshipment among production centers and multi-source allocation are applied to model the resilient supply chain network design problem. Moreover, the importance of time for costumers is led to consider different transportation methods for fulfilling the customers’ demand. Then, three different objective functions were incorporated when shortage is allowed and the unfulfilled demand will be back ordered. Then, a compromise programming method is used to convert the multi-objective model to a single-objective equivalent form. Furthermore, the application of the model is examined in a real industrial case involved in the production and distribution of glass. Finally, and the numerical results arrive at helpful managerial insights.
Keywords: Closed-loop supply chain, disruption, shortage, compromise programming, uncertainty
DOI: 10.3233/JIFS-181051
Journal: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 6, pp. 5261-5272, 2019
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
USA
Tel: +1 703 830 6300
Fax: +1 703 830 2300
[email protected]
For editorial issues, like the status of your submitted paper or proposals, write to [email protected]
IOS Press
Nieuwe Hemweg 6B
1013 BG Amsterdam
The Netherlands
Tel: +31 20 688 3355
Fax: +31 20 687 0091
[email protected]
For editorial issues, permissions, book requests, submissions and proceedings, contact the Amsterdam office [email protected]
Inspirees International (China Office)
Ciyunsi Beili 207(CapitaLand), Bld 1, 7-901
100025, Beijing
China
Free service line: 400 661 8717
Fax: +86 10 8446 7947
[email protected]
For editorial issues, like the status of your submitted paper or proposals, write to [email protected]
如果您在出版方面需要帮助或有任何建, 件至: [email protected]