Bi-Objective Supply Chain Optimization With Supplier Selection

2019 ◽  
pp. 238-255
Author(s):  
Kanika Gandhi ◽  
P. C. Jha
Keyword(s):  
Supply Chain ◽  
Goal Programming ◽  
Supplier Selection ◽  
Solution Process ◽  
Mixed Integer ◽  
Supply Chain Optimization ◽  
Programming Technique ◽  
Fuzzy Goal ◽  
The Cost ◽  
On Time Delivery

Supplier selection is one of the most important decisions within SCM since suppliers have emerged as value adding partners in industrial relationship. In the current study, supplier selection on the basis of information pertaining to quality and delivery time is explained. The cost aspects are taken care while coordinating procurement and distribution in the echelons. The deteriorating nature of the product creates imprecision in demand and fuzziness in different stages of the coordination. A fuzzy bi-objective mixed integer non-linear model is developed, where the first objective minimizes the combined cost of holding, processing, and transportation in all the echelons and the second objective maximizes combination of lot acceptance percentage and on-time delivery percentage. The solution process converts the model into crisp form and solves using a fuzzy goal programming technique.

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

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.

scholarly journals Maritime Supply Chain Optimization by Using Fuzzy Goal Programming

Algorithms ◽  
2021 ◽  
Vol 14 (8) ◽  
pp. 234
Author(s):  
Bekir Sahin ◽  
Devran Yazir ◽  
Abdelsalam Adam Hamid ◽  
Noorul Shaiful Fitri Abdul Rahman
Keyword(s):  
Supply Chain ◽  
Goal Programming ◽  
Optimal Solution ◽  
Theoretical Background ◽  
Fuzzy Goal Programming ◽  
Supply Chain Optimization ◽  
Mathematical Algorithm ◽  
Supply Chain Logistics ◽  
Solution Methods ◽  
Fuzzy Goal

Fuzzy goal programming has important applications in many areas of supply chain, logistics, transportation and shipping business. Business management has complications, and there exist many interactions between the factors of its components. The locomotive of world trade is maritime transport and approximately 90% of the products in the world are transported by sea. Optimization of maritime operations is a challenge in order to provide technical, operational and financial benefits. Fuzzy goal programming models attract interests of many scholars, therefore the objective of this paper is to investigate the problem of minimization of total cost and minimization of loss or damage of containers returned from destination port. There are various types of fuzzy goal programming problems based on models and solution methods. This paper employs fuzzy goal programming with triangular fuzzy numbers, membership functions, constraints, assumptions as well as the variables and parameters for optimizing the solution of the model problem. The proposed model presents the mathematical algorithm, and reveals the optimal solution according to satisfaction rank from 0 to 1. Providing a theoretical background, this study offers novel ideas to researchers, decision makers and authorities.

scholarly journals Local Blood Supply Chain Optimization: A Case Study

2020 ◽  
Vol 18 (4) ◽  
Author(s):  
Reza Babazadeh ◽  
Ali Sabbaghnia ◽  
Fatemeh Shafipour
Keyword(s):  
Supply Chain ◽  
Blood Supply ◽  
Blood Donation ◽  
Programming Model ◽  
Human Life ◽  
Mixed Integer ◽  
Model Parameters ◽  
Supply Chain Optimization ◽  
Blood Supply Chain ◽  
Proposed Model

: Blood and its products play an undeniable role in human life. In recent years, although both academics and practitioners have investigated blood-related problems, further enhancement is still warranted. In this study, a mixed-integer linear programming model was proposed for local blood supply chain management. A supply network, including temporary and fixed blood donation facilities, blood banks, and blood processing centers, was designed regarding the deteriorating nature of blood. The proposed model was applied in a real case in Urmia, Iran. The numerical results and sensitivity analysis of the key model parameters ensured the applicability of the proposed model.

scholarly journals Mathematical Analysis of Supply Chain Optimization focusing on Artificial Neural Network: A case study in Apparel Manufacturing Organization

2022 ◽  
Author(s):  
Shibbir Ahmad ◽  
Mohammad Kamruzzaman
Keyword(s):  
Supply Chain ◽  
Supplier Selection ◽  
Selection Criteria ◽  
Manufacturing Industry ◽  
Supply Chain Optimization ◽  
Apparel Manufacturing ◽  
Manufacturing Organizations ◽  
Manufacturing Organization ◽  
The Right

Abstract In this study, implemented artificial nueral network (Ann) in apparel manufacturing organizations to optimize the supply chain converging on right supplier selection by analyzing their performance criteria.Moreover, data collected from three diffrents factory to analyze the efficiney and profit -loss status of that units. Furthermore, analyze the supplier selection criteria of three suppliers in order to select the right supplier at the real time in apparel manufacturing industry . This study shows that it can be saved 20 % of the total cost.

The Board-Executive Imperative

2015 ◽  
pp. 1-32
Author(s):  
Usman A. Ghani
Keyword(s):  
Supply Chain ◽  
Senior Executives ◽  
Supply Chain Optimization ◽  
Supply Chain Strategy ◽  
Firm Scope ◽  
Corporate Context ◽  
Primary Responsibility ◽  
The Cost ◽  
Over Time

This chapter provides a fresh outlook for supply chain optimization by advocating the involvement of boards and top-teams that are uniquely positioned to address a confluence of three strategic responsibilities of a firm: scope and significance; people and culture; and measures and metrics. It provides a holistic corporate context and grapples with tougher issues often deferred or stalled as other initiatives or crises grab corporate attention. This chapter introduces his frameworks and guidelines and selective examples of success and failure in implementation. This chapter assigns primary responsibility for supply chain strategy senior executives. It observes these areas as gradually becoming too operationalized, even commoditized, with local efficiencies emphasized at the cost of gradual overall ineffectiveness. It also dispels six myths that have taken root over time, highlighting their impact and substituting these with today's realities. To make this work more practical, this chapter shares first-hand examples of supply chain practices.

Fuzzy Multi-Choice Goal Programming for Supplier Selection

2012 ◽  
pp. 39-60 ◽  
Author(s):  
Ching-Ter Chang ◽  
Cheng-Yuan Ku ◽  
Hui-Ping Ho
Keyword(s):  
Supply Chain ◽  
Goal Programming ◽  
Supplier Selection ◽  
Liquid Crystal Display ◽  
Decision Aids ◽  
Decision Makers ◽  
Acrylic Sheet ◽  
Selection Decision ◽  
Order Quantities ◽  
Linguistic Quantifiers

Supplier selection decision is an important issue of purchasing management in supply chain management involving multiple objectives; however, it is difficult to solve because objectives are often conflicting in nature. This study integrates multi-choice goal programming (MCGP) and fuzzy approaches as decision aids to help decision makers to choose better suppliers by considering multiple aspiration levels and vague goal relations. According to the function of multiple aspirations provided by the fuzzy MCGP (FMCGP), decision makers can set fuzzy relations among multiple supplier goals with linguistic quantifiers according to their different strategies. Also, decision makers can define the membership function for each linguistic quantifier to describe their ambiguous selection preference in supplier selection. With the FMCGP method, decision makers can obtain the order quantities for suitable suppliers based on different organizations’ supply chain strategies. To demonstrate the usefulness of the proposed method, a real-world case of a Liquid Crystal Display (LCD) monitor and acrylic sheet manufacturer is presented.

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