A fuzzy goal programming approach to solve a novel supply chain multi-objective mathematical model under uncertainty

Uncertainty is unavoidable and addressing the same is inevitable. That everything is available at our doorstep is due to a well-managed modern global supply chain, which takes place despite its efficiency and effectiveness being threatened by various sources of uncertainty originating from the demand side, supply side, manufacturing process, and planning and control systems. This paper addresses the demand- and supply-rooted uncertainty. In order to cope with uncertainty within the constrained multi-objective supply chain network, this paper develops a fuzzy goal programming methodology, with solution procedures. The probabilistic fuzzy goal multi-objective supply chain network (PFG-MOSCN) problem is thus formulated and then solved by three different approaches, namely, simple additive goal programming approach, weighted goal programming approach, and pre-emptive goal programming approach, to obtain the optimal solution. The proposed work links fuzziness in transportation cost and delivery time with randomness in demand and supply parameters. The results may prove to be important for operational managers in manufacturing units, interested in optimizing transportation costs and delivery time, and implicitly, in optimizing profits. A numerical example is provided to illustrate the proposed model.

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Solving a multi-objective mixed-model assembly line sequencing problem by a fuzzy goal programming approach

The International Journal of Advanced Manufacturing Technology ◽

10.1007/s00170-007-1267-6 ◽

2007 ◽

Vol 39 (9-10) ◽

pp. 975-982 ◽

Cited By ~ 12

Author(s):

Babak Javadi ◽

Alireza Rahimi-Vahed ◽

Masoud Rabbani ◽

Mostafa Dangchi

Keyword(s):

Goal Programming ◽

Assembly Line ◽

Mixed Model ◽

Fuzzy Goal Programming ◽

Programming Approach ◽

Sequencing Problem ◽

Multi Objective ◽

Fuzzy Goal ◽

Mixed Model Assembly Line ◽

Mixed Model Assembly

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Fuzzy Goal Programming With Interval Type-2 for Solving Multi-Objective Sustainable Supplier Selection Problems

Handbook of Research on Recent Perspectives on Management, International Trade, and Logistics - Advances in Logistics, Operations, and Management Science ◽

10.4018/978-1-7998-5886-7.ch010 ◽

2021 ◽

pp. 164-197

Author(s):

Nurullah UMARUSMAN

Keyword(s):

Supply Chain ◽

Goal Programming ◽

Supplier Selection ◽

De Novo ◽

Fuzzy Goal Programming ◽

Multi Objective ◽

Sustainable Supplier Selection ◽

Fuzzy Goal ◽

Interval Type

Supply chain management is going on changing and developing in line with the needs of the growing global supply chain. Performance of supply chain, considered as a whole so that businesses can accommodate these evolvements and change, needs to be improved in the long run. Actually, businesses work with suppliers complying with their policies from past to present. However, other dimensions of sustainability should be considered, as well as economic criteria when selecting suppliers. With the right supplier selection made in this respect, by contributing to the efficient functioning of the supply chain, it will increase customer satisfaction, and therefore, the enterprises will reach the goals they set. The solution of the multi-objective sustainable supplier selection problem has been realized by using the “satisfied optimal supplier design” algorithm, also called fuzzy goal programming, with de novo-based interval type-2 proposed in this study.

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