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.

Fuzzy Multi-Choice Goal Programming for Supplier Selection

2010 ◽  
Vol 1 (3) ◽  
pp. 28-52 ◽  
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 ◽  
Aspiration Levels ◽  
Acrylic Sheet ◽  
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.

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.

Efficiency Evaluation of Supply Chain Network Using a Framework Based on DEA and Seller-Buyer Structure

2020 ◽  
Vol 37 (06) ◽  
pp. 2050029 ◽  
Author(s):  
Hassan Arabshahi ◽  
Hamed Fazlollahtabar ◽  
Leila Maboudi
Keyword(s):  
Supply Chain ◽  
Supplier Selection ◽  
Selection Procedure ◽  
Point Of View ◽  
Decision Makers ◽  
Efficiency Evaluation ◽  
Supply Chain Network ◽  
Stage Model ◽  
Proposed Model ◽  
Efficient Portfolios

This paper aims to develop a DEA-based framework to evaluate the efficiency of the supply chain based on the seller–buyer structure and with respect to win–win strategy. This is a bi-stage model employing the CCR model in the forms of input-oriented and output-oriented considering the intermediate measures for two different conditions under a centralized point of view. The obtained results from the extension of this model to supply chain network lead to introduce “efficient path” concept being a path including different components of the supply chain that are efficient in terms of DEA. Other kinds of proper information provided by the proposed model can help the managers and decision-makers of the supply chain field in supplier selection procedure and making efficient portfolios and collaborations across the supply chain network.

scholarly journals ANALISIS PEMILIHAN SUPPLIER BAHAN BAKU PADA CV GENERAL TIMBER INDONESIA

MANAJERIAL ◽  
2018 ◽  
Vol 4 (1) ◽  
pp. 47
Author(s):  
Lilis Supiani
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supplier Selection ◽  
Systems Approach ◽  
Evaluation Research ◽  
Analytical Tool ◽  
Decision Makers ◽  
Business Partner ◽  
A Company

This study aims to determine the system of decision-making and priority criteria in supplier selection. Supplier selection is part of the supply chain. The role of suppliers affect the production process of a company as a supplier is a major business partner in the operation of the company's work. every manufacturing company has a standard priority suppliers so that it takes an analytical tool for decision-making. Method Analythical Hierarcy Process (AHP) is a decision making method of analysis used in decision-making with a systems approach, where decision-makers are trying to understand a condition of the system and help make predictions in decision-making. Distributing questioner to determine priority criteria CV General Timber supplier in Indonesia.The results of evaluation research in the company's performance CV General Timber Indonesia, there are five priorities, namely Cost supplier criteria with a weighting of 0.29%, Quality 0,26%, Quantity by 0.16%, Delivery 0.15% and Flexibility of 0.13 %

Suppliers Selection for Sazeh Gostar Saipa Co. Using a Combination Approach of Analytic Network Process and Goal Programming

2013 ◽  
Vol 4 (1) ◽  
pp. 14-34
Author(s):  
Hassan Farsijani ◽  
Mohsen Shafiei Nikabadi ◽  
Reza Malmir ◽  
Fatemeh Shakhsian
Keyword(s):  
Goal Programming ◽  
Supplier Selection ◽  
Analytic Network Process ◽  
Corporate Strategies ◽  
Top Managers ◽  
Network Process ◽  
Selection Decision ◽  
Selection For ◽  
Combination Approach

Strategic evaluation and supplier selection, or strategic supply, is a main subject of supply chain management. Strategic evaluation and supplier selection is a multi-criteria decision problem, considering both tangible and intangible criteria and organizations are seeking various and sometimes opposite objectives in purchasing from suppliers. As the increasing rivalry in Iran’s auto industry, producers and suppliers face several challenges. Sazeh Gostar Saipa Co., the main supplier of Saipa automobile maker firm, is not exempt of this norm. Top managers of the company believe that the best supplier selection for long-term cooperation is vital for the implementation of corporate strategies. In this paper, using decision technique of Analytic Network Process (ANP) and Base Overhead Cost Recovery (BOCR), 20 tangible and intangible operational and strategic criteria are considered in the supplier selection decision through a suggested methodology. Different organizations’ goals in purchasing from suppliers that are ranked in the previous stage are formulated to determine the amount of supply allocation to each supplier based on goals. The innovation aspect and main goal of the research are suggesting a methodology for selecting suppliers and determining the amount of allocated orders to them with combining ANP method, BOCR structure and goal programming in Sazeh Gostar Saipa Co.

An inquiry into the supplier selection decision from the business-to-consumer (B2C) perspective

2018 ◽  
Vol 33 (8) ◽  
pp. 1221-1230 ◽  
Author(s):  
Wesley S. Boyce ◽  
Haim Mano
Keyword(s):  
Supply Chain ◽  
Supplier Selection ◽  
Selection Criteria ◽  
Consumer Preferences ◽  
Management Strategies ◽  
Content Type ◽  
Additional Detail ◽  
B2b Relationships ◽  
Selection Decision ◽  
Business To Consumer

Purpose The purpose of this paper is to provide insights into what selection criteria consumers find critical when making the supplier selection decision. Much research exists on the business-to-business (B2B) perspective, so this research seeks to investigate the business-to-consumer (B2C) viewpoint. Design/methodology/approach A survey is used to identify the areas that consumers find to be important when seeking suppliers. Factor analysis is used to identify selection criteria that are important to consumers. Findings The results suggest that consumers value several factors quite highly, including delivery, price and quality. Service, flexibility and relationship are also rated relatively high, while consumer concern with technology and the environment seemed to be lower. Research limitations/implications This study is limited to a group of consumers represented by university students. Additional research methods may provide additional detail to supplement these results. Practical implications The consistency the authors found between firm and consumer preferences should make it a relatively simple process for firms to consider the desires of customers when dealing with their own B2B relationships. Originality/value The B2C perspective on the supplier selection decision has seen limited research coverage. The B2C collaboration perspective considers the contributions consumers can make in supply chain decisions, which may lead to new supply chain management strategies.

scholarly journals Application of multi-objective optimization based on genetic algorithm for sustainable strategic supplier selection under fuzzy environment

2017 ◽  
Vol 10 (2) ◽  
pp. 188 ◽  
Author(s):  
Muhammad Hashim ◽  
Muhammad Nazam ◽  
Liming Yao ◽  
Sajjad Ahmad Baig ◽  
Muhammad Abrar ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Supply Chain ◽  
Supplier Selection ◽  
Decision Makers ◽  
Quality Level ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Fuzzy Environment ◽  
Proposed Model ◽  
Textile Sector

Purpose:  The incorporation of environmental objective into the conventional supplier selection practices is crucial for corporations seeking to promote green supply chain management (GSCM). Challenges and risks associated with green supplier selection have been broadly recognized by procurement and supplier management professionals. This paper aims to solve a Tetra “S” (SSSS) problem based on a fuzzy multi-objective optimization with genetic algorithm in a holistic supply chain environment. In this empirical study, a mathematical model with fuzzy coefficients is considered for sustainable strategic supplier selection (SSSS) problem and a corresponding model is developed to tackle this problem.Design/methodology/approach: Sustainable strategic supplier selection (SSSS) decisions are typically multi-objectives in nature and it is an important part of green production and supply chain management for many firms. The proposed uncertain model is transferred into deterministic model by applying the expected value mesurement (EVM) and genetic algorithm with weighted sum approach for solving the multi-objective problem. This research focus on a multi-objective optimization model for minimizing lean cost, maximizing sustainable service and greener product quality level. Finally, a mathematical case of textile sector is presented to exemplify the effectiveness of the proposed model with a sensitivity analysis.Findings: This study makes a certain contribution by introducing the Tetra ‘S’ concept in both the theoretical and practical research related to multi-objective optimization as well as in the study of sustainable strategic supplier selection (SSSS) under uncertain environment. Our results suggest that decision makers tend to select strategic supplier first then enhance the sustainability.Research limitations/implications: Although the fuzzy expected value model (EVM) with fuzzy coefficients constructed in present research should be helpful for solving real world problems. A detailed comparative analysis by using other algorithms is necessary for solving similar problems of agriculture, pharmaceutical, chemicals and services sectors in future.Practical implications: It can help the decision makers for ordering to different supplier for managing supply chain performance in efficient and effective manner. From the procurement and engineering perspectives, minimizing cost, sustaining the quality level and meeting production time line is the main consideration for selecting the supplier. Empirically, this can facilitate engineers to reduce production costs and at the same time improve the product quality.Originality/value: In this paper, we developed a novel multi-objective programming model based on genetic algorithm to select sustainable strategic supplier (SSSS) under fuzzy environment. The algorithm was tested and applied to solve a real case of textile sector in Pakistan. The experimental results and comparative sensitivity analysis illustrate the effectiveness of our proposed model.

The Application of Fuzzy Theory and Gray-Based Rough Set Theory in the Supplier Selection Decision Making

2010 ◽  
Vol 26-28 ◽  
pp. 559-563 ◽  
Author(s):  
Kai Jun Leng ◽  
Shu Hong Zhang
Keyword(s):  
Set Theory ◽  
Rough Set ◽  
Supplier Selection ◽  
Rough Set Theory ◽  
Fuzzy Theory ◽  
Decision Makers ◽  
Location Selection ◽  
Integrated Method ◽  
Selection Decision ◽  
Selection Of

This work presents the combination of fuzzy theory and rough set theory to solve facility location selection problems under the condition of involving different objective/subjective attributes. We try to utilize individual merits for each method and combine it to form a reliable selection of alternative suppliers. An empirical example is illustrated to show the effectiveness of the integrated method. Our results showed that the integrated method can allow decision makers to get the best candidate of supplier location, and is recommended in the practice therefore.

scholarly journals Multi-Objective Decision-Making In Supplier Selection: An Application Of Visual Interactive Goal Programming

2011 ◽  
Vol 15 (2) ◽  
pp. 57 ◽  
Author(s):  
Birsen Karpak ◽  
Rammahan R. Kasuganti ◽  
Erdogan Kumcu
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Decision Support ◽  
Goal Programming ◽  
Supplier Selection ◽  
Vendor Selection ◽  
Single Product ◽  
Chain Management ◽  
Multi Objective ◽  
Selection Decisions

<span>Supplier selection by purchasing teams in a supply chain management environment is inherently a multi-objective problem. The authors discuss one of the multiple criteria decision support systems; Visual Interactive Goal Programming (VIG), to assist purchasing teams in their vendor selection decisions. VIG is based on a multi-criteria technique known as Pareto Race. Two examples illustrate the application of VIG in different multi-objective supplier selection environments. The first example demonstrates the allocation of a single product among multiple vendors, while the second example focuses on a multiple-replenishment purchasing problem in selecting supplier and allocating orders among them. The authors conclude with a discussion of VIGs benefits and limitations.</span>

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