scholarly journals Prioritizing Green Supplier Selection Criteria Using Fuzzy Analytical Network Process

Procedia CIRP ◽  
2015 ◽  
Vol 26 ◽  
pp. 689-694 ◽  
Author(s):  
Masoud Rahiminezhad Galankashi ◽  
Ali Chegeni ◽  
Amin Soleimanynanadegany ◽  
Ashkan Memari ◽  
Ali Anjomshoae ◽  
...  
Keyword(s):  
Supplier Selection ◽  
Selection Criteria ◽  
Analytical Network Process ◽  
Green Supplier Selection ◽  
Network Process

scholarly journals Implementation of Green Procurement in Supplier Selection of PT Kubota Indonesia with Fuzzy Analytical Network Process Approach (FANP)

2018 ◽  
Vol 73 ◽  
pp. 09021 ◽  
Author(s):  
Pujotomo Darminto ◽  
Rahcman Erpita ◽  
Budi Prasetiyo Utomo Trio
Keyword(s):  
Supplier Selection ◽  
Selection Process ◽  
Quality Criteria ◽  
Analytical Network Process ◽  
Green Procurement ◽  
Green Industry ◽  
Network Process ◽  
Criteria Weights ◽  
Timely Delivery ◽  
Selection Of

Industry globalization and consumer concern for environmental issues compel the industry to make adjustments to the green industry concept including green procurement activities such as supplier selection. One of the industries in the diesel engine exporting company, PT. Kubota Indonesia, must be able to meet market demands related to Green Industries. one of the Green Industry Concepts that teaches companies to broaden their perspectives on corporate environmental concerns is Green Procurement. This concept emphasizes companies to use suppliers who also have a concern for the environment. When conducting the supplier selection process PT. Kubota Indonesia only emphasizes on the criteria for quality, price and timely delivery. In addition, delays in orders received at the company make this company have to choose suppliers. The results of this study were to determine the criteria and sub-criteria weights used by PT. Kubota Indonesia selects suppliers according to the concept of Green Procurement, ranks and selects suppliers using Fuzzy Analytical Network Process (FANP). The most important criteria are quality criteria and the best supplier recommended is PT. Three Pamindo T

Green supplier selection using an AHP-Entropy-TOPSIS framework

2015 ◽  
Vol 20 (3) ◽  
pp. 327-340 ◽  
Author(s):  
James Freeman ◽  
Tao Chen
Keyword(s):  
Supply Chain ◽  
Supplier Selection ◽  
Selection Criteria ◽  
Second Phase ◽  
Structured Interviews ◽  
Entropy Weight ◽  
Two Phase ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Green Supplier Selection

Purpose – This paper aims to focus on development of a green supplier selection model using an index system based on a combination of traditional supplier and environmental supplier selection criteria. Strategies that balance economic and environmental performance are increasingly sought after as enterprises that increasingly focus on the sustainability of their operations. Green supply chain management (GSCM) in particular, enables the integration of environmentally friendly suppliers into the supply chain to be systematised to fit with specific environmental regulations and policies. More persuasively, GSCM allows enterprises to improve profits whilst lowering impacts on the global environment. Design/methodology/approach – A two-phase survey approach was adopted for the research. For the first phase, semi-structured interviews with senior management representatives of the case company – a Chinese-based electronic machinery manufacturer – were used to determine green supplier selection criteria. For the second phase, a two-part questionnaire survey was undertaken, the first part providing the data for an analytic hierarchy process (AHP) analysis of the first-phase criteria and the second with collecting data for an Entropy weight analysis. The resultant AHP and Entropy weights were then combined to form compromised weights – which, using technique for order preference by similarity to the ideal solution (TOPSIS) methodology, were translated into preferential rankings of suppliers. Findings – Senior managers were found to rank traditional criteria more highly than environmental alternatives – the implication being that for the company, concerned, it may take some time before environmental awareness is fully assimilated into GSCM practice. Originality/value – The paper moves us a significant step closer to the application more widely, of innovative AHP-Entropy/TOPSIS methodology to real-world SCM problems.

scholarly journals Application of Fuzzy Analytical Network Process and VIKOR Model in Foreign Trade Supplier Selection

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Tsung-Xian Lin ◽  
Xiao Wang ◽  
Zhong-huan Wu ◽  
Che-Chang Chang
Keyword(s):  
Customer Service ◽  
Network Architecture ◽  
Supplier Selection ◽  
Raw Materials ◽  
Fuzzy Theory ◽  
Evaluation Model ◽  
Analytical Network Process ◽  
Advantages And Disadvantages ◽  
Expert Interview ◽  
Network Process

The technology in Taiwan’s panel industry is changing fast. However, after the financial tsunami and the increased price for raw materials, enterprises’ abilities to select suppliers and purchase have great influences on plan implementation. Therefore, with the prevailing issues of supply chain management, how to evaluate and select appropriate suppliers has become a very important topic for enterprises. Depending on customers’ needs, the requirements for suppliers vary from industry to industry. On this basis, this study summarizes and analyzes the literature on supplier selection to develop the supplier selection criteria, constructs the hierarchical network architecture by an expert interview, and proposes a complete supplier evaluation model by the fuzzy theory and network analysis. This study shows that the order of the important dimensions is as follows: performance evaluation, customer service, technology and competitiveness, cost benefits, and architecture, and the most important criterion is quality. Finally, the material suppliers of backlight modules in the panel industry are taken as the examples and ranked by VIKOR, based on their merits and demerits, to help related industries to understand their current advantages and disadvantages according to the selection results obtained by the fuzzy analytical network process and improve the gap between their actual situations and enterprises’ expectations and thus enhance their competitiveness.

scholarly journals A New Fuzzy TOPSIS-TODIM Hybrid Method for Green Supplier Selection Using Fuzzy Time Function

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Alireza Arshadi Khamseh ◽  
Mahdi Mahmoodi
Keyword(s):  
Supplier Selection ◽  
Selection Criteria ◽  
Carbon Emission ◽  
Fuzzy Topsis ◽  
Time Function ◽  
Loss Functions ◽  
Green Supply Chain ◽  
Green Supplier Selection ◽  
The World ◽  
Multicriteria Method

Today green supply chain is considered all around the world and supplier selection has been changed regarding these green and carbon emission criteria, so green supplier selection has been a major problem in this area. In this study we use fuzzy time function to assist managers in green supplier selection under uncertainty and ambiguity. This function will consider derivation from the goal during the time and by using it, and we will be able to have the best supplier in every period after having some modification in legal limitations for green supplier selection criteria. We use a fuzzy TOPSIS to have better initial weighting in TODIM, a discrete multicriteria method based on prospect theory in uncertainty (known as TODIM in Portuguese) decision making method. The results indicated that our proposed approach can easily and effectively accommodate criteria with gains and loss functions during time and also by using this method we will have a more reasonable predict of our suppliers ranking in future and that will help us in future investment in these suppliers. Finally it has been shown in car industries in Iran.

A QFD-ANP Method for Supplier Selection with Benefits, Opportunities, Costs and Risks Considerations

2018 ◽  
Vol 17 (03) ◽  
pp. 911-939 ◽  
Author(s):  
Eleonora Bottani ◽  
Piera Centobelli ◽  
Teresa Murino ◽  
Ehsan Shekarian
Keyword(s):  
Sensitivity Analysis ◽  
Supplier Selection ◽  
Quality Function Deployment ◽  
Selection Criteria ◽  
Selection Process ◽  
Analytic Network Process ◽  
Relative Importance ◽  
Purchasing Decisions ◽  
Network Process

This paper presents an original integrated procedure to evaluate and select suppliers for purchasing decisions. The procedure exploits the quality function deployment approach to define the suppliers’ characteristics, coupled with the analytic network process to capture the interrelations among the selection criteria and integrated with a benefits, opportunities, costs and risks (BOCR) analysis. As such, the proposed approach is more structured than the existing methods for supplier selection; in particular, it allows simultaneously to take into account the relevant criteria for supplier selection, to capture the situation in which the decision criteria are somehow dependent on one another and to evaluate the positive and negative aspects of the selection process. By using the proposed approach, companies can derive useful information to guide their partner selection process. An extensive case study is reported to show the application of the model to a selection process of a real Italian company. The application shows that the model is effective in identifying the most suitable supplier; moreover, a detailed sensitivity analysis highlights that the results of the ranking are very robust against possible changes in the relative importance of the BOCR perspectives.

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