scholarly journals A Hybrid Multiple Criteria Decision Making Model for Supplier Selection

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Chung-Min Wu ◽  
Ching-Lin Hsieh ◽  
Kuei-Lun Chang
Keyword(s):  
Decision Making ◽  
Delphi Method ◽  
Supplier Selection ◽  
Multiple Criteria Decision Making ◽  
Analytic Network Process ◽  
Multiple Criteria ◽  
Sustainable Supply Chain ◽  
Fuzzy Delphi Method ◽  
Fuzzy Delphi ◽  
Sustainable Supplier Selection

The sustainable supplier selection would be the vital part in the management of a sustainable supply chain. In this study, a hybrid multiple criteria decision making (MCDM) model is applied to select optimal supplier. The fuzzy Delphi method, which can lead to better criteria selection, is used to modify criteria. Considering the interdependence among the selection criteria, analytic network process (ANP) is then used to obtain their weights. To avoid calculation and additional pairwise comparisons of ANP, a technique for order preference by similarity to ideal solution (TOPSIS) is used to rank the alternatives. The use of a combination of the fuzzy Delphi method, ANP, and TOPSIS, proposing an MCDM model for supplier selection, and applying these to a real case are the unique features of this study.

scholarly journals A Hybrid Multiple Criteria Decision Making Model for Selecting the Location of Women’s Fitness Centers

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Sen-Kuei Liao ◽  
Hsiao-Yin Hsu ◽  
Kuei-Lun Chang
Keyword(s):  
Decision Making ◽  
Selection Criteria ◽  
Multiple Criteria Decision Making ◽  
Analytic Network Process ◽  
Multiple Criteria ◽  
Fitness Centers ◽  
Location Selection ◽  
Fuzzy Delphi ◽  
Proposed Model ◽  
Network Process

Location selection is a critical problem for businesses that can determine the success of an organization. Selecting the optimal location from a pool of alternatives belongs to a multiple criteria decision making (MCDM) problem. This study employed a hybrid MCDM technique to select locations for women’s fitness centers in Taiwan. In the beginning, the fuzzy Delphi method was utilized to obtain selection criteria from interviewed senior executives. In the second stage, the decision making trial and evaluation laboratory (DEMATEL) was employed to extract interdependencies between the selection criteria within each perspective. On the basis of interdependencies between the selection criteria, the analytic network process (ANP) was used to get respective weights of each criterion. Finally, the technique for order preference by similarity to ideal solution (TOPSIS) was ranking the alternatives. To demonstrate application of the proposed model and illustrate a location selection problem, a case was conducted. The capabilities and effectiveness of the proposed model are revealed.

scholarly journals INTEGRATING SUSTAINABILITY INTO SUPPLIER SELECTION: A GREY-BASED TOPSIS ANALYSIS

2018 ◽  
Vol 24 (6) ◽  
pp. 2202-2224 ◽  
Author(s):  
Chunguang Bai ◽  
Joseph Sarkis
Keyword(s):  
Supplier Selection ◽  
Selection Process ◽  
Multiple Criteria Decision Making ◽  
Multiple Criteria ◽  
Grey Theory ◽  
Sustainable Supply Chain ◽  
Research Perspective ◽  
Sustainable Supplier Selection ◽  
Using Data ◽  
Accurate Matching

Sustainable supplier selection plays an important role in sustainable supply chain management operations and implementation. In this paper a novel formal modeling approach is conceptually developed and presented to address sustainable supplier selection. Grey theory and TOPSIS, a distance based multiple criteria method, are used for the integration and evaluation of sustainable supplier performance for sustainable supplier selection. From a research perspective, TOPSIS is improved to more effectively deal with grey numbers by integrating a degree of likelihood rather than converting grey numbers into crisp numbers functions, and it provides more flexible supplier rankings. This methodology strengthens the sustainable supplier selection process, and can be applied to other multiple criteria decision making problems. Illustrative calculations are made using data on sustainable supplier selection and evaluation published by Bai and Sarkis (2010). The technique is relatively accurate, matching well with results from a published grey rough set approach. The methodology easily implementable with minimal complex calculations required. It can also provide support for sustainable supplier selection, benchmarking, and improvement decisions. This is one of the first papers to integrate a broad set of sustainability factors for grey-based TOPSIS and supplier selection.

scholarly journals APPLICATION OF FUZZY DELPHI METHOD ON WOMEN AS DECISION MAKER LEADERSHIP SELF-EFFICACY AND LEADERSHIP SKILL’S ITEM

2021 ◽  
Vol 4 (16) ◽  
pp. 13-24
Author(s):  
Nuha Abdullah ◽  
Norasmah Othman
Keyword(s):  
Decision Making ◽  
Delphi Method ◽  
Content Validity ◽  
Self Efficacy ◽  
Leadership Skills ◽  
Decision Makers ◽  
Public And Private ◽  
Fuzzy Delphi Method ◽  
Fuzzy Delphi ◽  
Women In Decision Making

The policy of 30% women representation as decision-makers in Malaysia has not been achieved even in 2021. This is due to the lack of women in decision-making positions in the public and private sectors. There are two factors for the lack of women in decision-making positions; leadership self-efficacy and leadership skills. In order to fulfil the policy of 30% women representation in decision-making positions, empirical research should be carried out to measure the level of leadership self-efficacy and leadership skills among female government officers who hold positions of Grade 48 and above. A research instrument that consists of items that measure leadership self-efficacy and leadership skills has been developed. A content validity process was carried out to ensure that the items would measure the dimensions that need to be measured. Hence, this study applied the Fuzzy Delphi Method (FDM) in order to obtain experts’ consensus regarding the items that are relevant in measuring the dimensions of leadership self-efficacy and leadership skills of women as decision-makers. 14 expert panelists were involved in this research and all of the data collected were analysed using the FDM. Results of the analysis showed that 30 items developed for the leadership self-efficacy dimension and 25 items developed for the leadership skills dimension fulfilled the required conditions which are the threshold (d) ≤ 0.2, the value α-cut ≥ 0.5, and over 75% expert panelists’ consensus. It is hoped that the research results would lead to the innovation of applying the FDM in determining the content validity of the items developed in measuring dimensions such as measuring the dimensions of leadership self-efficacy and leadership skills among women.

scholarly journals Green supplier selection using fuzzy Delphi method for developing sustainable supply chain

2021 ◽  
pp. 63-70
Author(s):  
Nejah Ben Mabrouk
Keyword(s):  
Delphi Method ◽  
Supplier Selection ◽  
Expert Knowledge ◽  
Selection Process ◽  
Numerical Data ◽  
Future Research ◽  
Sustainable Supply Chain ◽  
Green Supplier Selection ◽  
Fuzzy Delphi ◽  
Green Packaging

The objective of this paper is to examine the determinants of the supplier selection process with green consideration. Thus, this analysis gathers a collection of factors from established literature of green supplier selection (GSS), including seven categories and 58 attributes. The objective of this research is to classify the key factors which are presented as qualitative information. Fuzzy logic rules are used to transform qualitative expert knowledge into numerical data. Then, we adopt the Delphi method (DM) to filter and rate unneeded factors according to their relevance. The results indicate 24 important factors for the GSS process. Five categories are included: Performance and technology ability, Environmental management, Pollution control, Quality and Service. The most significant factors are recognized as green research and development, eco-design, green image, green packaging and remanufacturing. Finally, the debate is held on the basis of the findings and future research are also recognized and stated.

A New Optimization Method for Supplier Evaluation in the Context of Volume Discount

2011 ◽  
pp. 64-75
Author(s):  
Reza Farzipoor Saen
Keyword(s):  
Decision Making ◽  
Supplier Selection ◽  
Selection Process ◽  
Multiple Criteria Decision Making ◽  
Optimization Method ◽  
Multiple Criteria ◽  
Supplier Evaluation ◽  
Imprecise Data ◽  
Common Criteria ◽  
Decision Making Problem

Supplier selection is a multiple criteria decision making problem that the selection process mainly involves evaluating a number of suppliers according to a set of common criteria for selecting suppliers to meet business needs. Suppliers usually offer volume discounts to encourage the buyers to order more. To select suppliers in the presence of both volume discounts and imprecise data, this chapter proposes an optimization method. A numerical example demonstrates the application of the proposed method.

scholarly journals Identification of Key Influencing Factors of Sustainable Development for Traditional Power Generation Groups in a Market by Applying an Extended MCDM Model

2019 ◽  
Vol 11 (6) ◽  
pp. 1754 ◽  
Author(s):  
Jun Dong ◽  
Dongran Liu ◽  
Dongxue Wang ◽  
Qi Zhang
Keyword(s):  
Power Generation ◽  
Decision Making ◽  
Sustainable Development ◽  
Influencing Factors ◽  
Multiple Criteria Decision Making ◽  
Analytic Network Process ◽  
Fuzzy Decision Making ◽  
Actual Problem ◽  
Five Dimensions ◽  
Fuzzy Delphi

With the deepening reform of the power market, the external environment of China’s power industry is going through a huge change. China’s traditional power generation groups (TPGGs), with assets all over the country, are, due to a lack of market awareness about energy policies, facing serious challenges in developing competitive advantages, improving power transaction modes, optimizing profit models, and even realizing basic corporate strategies. In this study, we focus on identifying the key factors influencing sustainable development in an unprecedented market environment for TPGGs, so as to achieve overall sustainable development for the whole power generation sector in China. A hybrid framework based on Multiple-Criteria Decision-Making (MCDM) was proposed to recognize the key influencing factors under vague rule conditions. We developed a novel method combining three different MCDM methods with triangular fuzzy numbers (TFNs), fuzzy Delphi, fuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL), and Analytic Network Process (ANP), to cover uncertainty and make the problem-solving approach closer to the actual problem. A series of analyses indicate that the final 14 factors covering the five dimensions are considered to be important factors in the sustainable development of TPGGs. Based on the results, it can be said that “Gross energy margin” and “Pricing bidding strategy” dominate the impacts of TPGG’s sustainable development. Finally, we give some advice relating to practical measures to help TPGGs achieve sustainable development in the market-oriented industry environment.

Multiple-criteria fuzzy group decision-making with multi-choice goal programming for supplier selection: A case study

2019 ◽  
Vol 11 (03) ◽  
pp. 1950029
Author(s):  
Ashoke Kumar Bera ◽  
Dipak Kumar Jana ◽  
Debamalya Banerjee ◽  
Titas Nandy
Keyword(s):  
Decision Making ◽  
Goal Programming ◽  
Supplier Selection ◽  
Multiple Criteria Decision Making ◽  
Fuzzy Topsis ◽  
Multiple Criteria ◽  
Linguistic Variables ◽  
Manufacturing Organization ◽  
Fuzzy Group Decision Making

In today’s highly turbulent and competitive environment, the success of the organization depends on the performance of its suppliers. However, supplier selection problems are complex as they involve a large number of criteria and, frequently, some of the criteria cannot be evaluated precisely. Moreover, fluctuations of supplier performances and unknown information always exist in real-world decision-making. It is a complex multiple-criteria decision-making (MCDM) problem as it involves a trade-off among various criteria with vagueness and imprecision and also involves a group of experts with diverse opinion. Therefore, to make more practical decisions, this paper is intended to propose an integrated technique for order preference by similarity to ideal solution (TOPSIS) in fuzzy environment with multi-choice goal programming (MCGP) to handle the supplier assessment and order allocation for a battery manufacturing organization. Using linguistic variables, the decision-makers assess the rating of suppliers as well as the importance of various factors. Linguistic variables are expressed in trapezoidal fuzzy numbers (TrFN). Fuzzy-TOPSIS method is proposed to obtain the rank of suppliers and MCGP method is used to allocate suitable orders to the selected suppliers. A case study is implemented to find the applicability and validity of the proposed model. Finally, sensitivity analysis is performed to observe the effect of weights of criteria on supplier evaluation problem.

scholarly journals Designing Project-based Learning (PjBL) Activities for Art and Design E-Portfolio Using Fuzzy Delphi Method as a Decision Making

2015 ◽  
Vol 11 (28) ◽  
pp. 45 ◽  
Author(s):  
Syamsul Nor Azlan Mohamad ◽  
Mohamed Amin Embi ◽  
Norazah Nordin
Keyword(s):  
Decision Making ◽  
Best Practices ◽  
Delphi Method ◽  
Project Based Learning ◽  
Art And Design ◽  
Pedagogical Strategy ◽  
Fuzzy Delphi Method ◽  
International Perspectives ◽  
Fuzzy Delphi ◽  
Selection Of

<p>The present articles introduces the Fuzzy Delphi Method results obtained in the study on designing Project-based Learning (PjBL) activities for art and design courses using Fuzzy Delphi Method (FDM) as a decision-making.This method bases on qualified experts that assures the validity of the collected information. In particular, the confirmation of elements is based on experts opinion and consensus. The consensus survey constructed based on the emergent themes the experts raised from the conducted interview. For this purpose of the study, 22 experts in Project-based learning involved in the interview and responses the consensus survey. The experts participated in this study involves local and international perspectives that contribute to the best idea and practises by their respective's institution. The selection of decision-making will reflect the e-Porfolio users which purposely design for art and design courses. As resulted, the Fuzzy Delphi will interpret the decision-making made by experts to suggest best practices of the pedagogical strategy infused in e-Portfolio system.</p><p style="margin: 0px; font-family: Times;"> </p>

scholarly journals A structured framework for sustainable supplier selection using a combined BWM-CoCoSo model

2019 ◽  
Author(s):  
Sarfaraz Hashemkhani Zolfani ◽  
Prasenjit Chatterjee ◽  
Morteza Yazdani
Keyword(s):  
Supplier Selection ◽  
Evaluation Model ◽  
Analytic Network Process ◽  
Sustainable Supply Chain ◽  
Economic Significance ◽  
Industrial Organizations ◽  
Multi Criteria Evaluation ◽  
Proposed Model ◽  
Sustainable Supplier Selection ◽  
Network Process

Purpose – sustainability in industrial organizations is becoming one of the predominant concepts in the context of modern industrialization due to global warming, economic significance, and social awareness. These have prompted a huge concern toward sustainable supply chain management (SSCM) to be adopted and promoted as an innovative business model. Supplier evaluation and selection play a significant role in SSCM for taking appropriate procurement decisions. Research methodology – a hybrid MADM model based on Best Worst Method (BWM) and Combined Comprise Solution (CoCoSo) method. Findings – a case study in the steel industry is presented to demonstrate the effectiveness of the proposed approach. The results show the potentiality of the proposed model in resolving complex sustainability issues in the SCM environment. Research limitations – other weighting techniques like the analytic network process (ANP) and decision making trial and evaluation laboratory (DEMATEL) approaches can also be combined and performances can be compared. Practical implications – the proposed model can be used by the organizations to select the most appropriate suppliers who contribute to the movement of the SC towards sustainability. Originality/Value – a multi-criteria evaluation model has been proposed for solving a sustainable supplier selection problem while considering economic, environmental and social criteria simultaneously by integrating BWM-COCOSO methods

scholarly journals A Novel Decision-Making Framework for Sustainable Supplier Selection Considering Interaction among Criteria with Heterogeneous Information

2019 ◽  
Vol 11 (10) ◽  
pp. 2820 ◽  
Author(s):  
Xiaodong Wang ◽  
Jianfeng Cai ◽  
Jichang Xiao
Keyword(s):  
Decision Making ◽  
Supplier Selection ◽  
Distance Measure ◽  
Choquet Integral ◽  
Sustainable Supply Chain ◽  
Decision Matrix ◽  
Decision Context ◽  
Sustainable Supplier Selection ◽  
Decision Making Framework ◽  
Practical Factors

Sustainable supplier selection has become a strategic activity to enhance the competitiveness of sustainable supply chain management. Research on sustainable supplier selection is considering increasingly more practical factors, such as the uncertainty of decision context and the fuzzy recognition of experts. Evaluation values on different criteria with different characteristic should be represented in their suitable information types to reflect the characteristic accurately and represent experts’ judgments entirely. Moreover, it is difficult, or costly, to build a decision criteria set in which all criteria are independent to each other because of the interaction of technical, economic, environmental and social factors. Therefore, the aim of this paper is to propose a novel decision-making framework for sustainable supplier selection which considers the interaction among criteria with heterogeneous decision information. The proposed framework can not only allow the experts to express their judgments completely, but also improve the efficiency of decision-making. First, a normalized dominance decision matrix based on normalized closeness is built with the heterogeneous decision matrix. Then, a defined discrete Choquet integral multi-criteria distance measure is used to compute the comprehensive associated closeness and rank the alternative sustainable suppliers. This framework provides a new way to handle the interaction among criteria for sustainable supplier selection from the perspective of multi-criteria distance measure, and a novel methodology to solve the problems that the evaluation values cannot be aggregated directly. Finally, an example is given to illustrate the proposed framework for sustainable supplier selection with a comparison analysis.

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