A hybrid solution approach for fuzzy multiobjective dual supplier and material selection problem of carton box production systems. Issue 1 (28th November 2018)

• Record Type: Journal Article
• Authors: Niroomand, Sadegh; Mahmoodirad, Ali; Mosallaeipour, Sam
• Is Part Of: Expert systems. Volume 36:Issue 1(2019)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2018-11-28
• Subjects: fuzzy chance‐constrained modelling -- fuzzy programming approach -- material selection problem -- multiobjective optimization -- supplier selection problem; Expert systems (Computer science); 006.33
• DOI: 10.1111/exsy.12341
• Languages: English
• ISSNs: 0266-4720

Abstract

Abstract: A novel optimization problem of carton box manufacturing industries is introduced in this paper. A mixed integer linear formulation with multiple objective functions is developed in order to determine the value of some criteria of carton raw sheets such as size, amount, and supplier under simultaneous minimization of multiple goals such as purchasing cost of raw sheets under discount policy, wastage remained from raw sheets, and quantity of surplus of carton boxes. In order to cope with the unstable market of this sector, some parameters of the proposed formulation such as demand value of the products and price given for raw sheets are assumed to be fuzzy numbers. To tackle such fuzzy multiobjective problem, first, the fuzzy problem is converted to a crisp form using the concepts of necessity‐based chance‐constrained modelling approach. Then a new hybrid form of the fuzzy programming approach is proposed to solve the obtained crisp multiobjective problem effectively. Computational experiments on a real case given by a carton box factory show the superior result of the proposed solution approach compared with the well‐known multiobjective solution methods taken from the literature.