AN INTEGRATION OF FUZZY ANALYTIC NETWORK PROCESS AND FUZZY DECISION MAKING FOR MASS CUSTOMIZATION STRATEGIES

Fuzzy Decision Making ◽

Fuzzy Decision ◽

Strategic Decisions ◽

Chain Management ◽

Customer Expectations ◽

Network Process ◽

Nowadays, supply chain management decisions have become strategic decisions. Also, greening process of supply chain activities were required due to satisfy the customer expectations, and protect the environmental life. Since one of the strategic decisions for supply chains is the supplier selection, greening process also became necessary for supplier evaluations. Within this context, in this chapter, a comprehensive list of the criteria for green supplier selection was determined. Fuzzy Decision Making Trial and Evaluation Laboratory (DEMATEL) method was applied to determine the cause-effect relationships between the main criteria. Fuzzy Analytic Network Process (ANP) method was used to find the relative weights of the criteria. Finally, fuzzy VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method was applied to prioritize the various suppliers.

Structural Decisions of Sustainable Manufacturing Strategy with Fuzzy Analytic Network Process (FANP)

International Journal of Strategic Decision Sciences ◽

10.4018/ijsds.2015040102 ◽

2015 ◽

Vol 6 (2) ◽

pp. 12-27 ◽

Cited By ~ 3

Author(s):

Lanndon Ocampo ◽

Eppie Clark ◽

Kae Vines Tanudtanud

Keyword(s):

Decision Making ◽

Supply Chain ◽

Sustainable Manufacturing ◽

Linguistic Variables ◽

Sustainable Supply Chain ◽

Manufacturing Strategy ◽

Network Process ◽

Fuzzy Analytic Network Process ◽

Relevant Component

This paper proposes the use of fuzzy analytic network process (FANP) in identifying the content of the structural decisions of manufacturing strategy that integrates sustainability and the classical manufacturing strategy framework, considering firm size as a relevant component in decision-making. Fuzzy set theory elucidates judgment through linguistic variables while analytic network process (ANP) handles the complexity of the decision-making brought about by subjectivity and relationships among components in the decision problem. A group of experts in manufacturing was tasked to elicit judgment in pairwise comparisons following in the methodology of the ANP. Results also show that structural decisions that support sustainability integrate backward supply chain. This supports existing approaches particularly on sustainable supply chain and green purchasing. The contribution of this work lies in adopting a multi-criteria decision-making (MCDM) framework that identifies the content of the structural decisions of a sustainable manufacturing strategy.

A Simulation-Based Fuzzy Analytic Network Process Approach in Developing Sustainable Manufacturing Strategy

Management and Production Engineering Review ◽

10.1515/mper-2015-0014 ◽

2015 ◽

Vol 6 (2) ◽

pp. 32-39 ◽

Cited By ~ 1

Author(s):

Lanndon Ocampo ◽

Eppie Clark

Keyword(s):

Decision Making ◽

Group Decision Making ◽

Decision Model ◽

Group Decision ◽

Methodological Approach ◽

Sustainable Manufacturing ◽

Manufacturing Strategy ◽

Network Process ◽

Abstract This paper adopts a probabilistic fuzzy analytic network process (PROFUZANP) approach in developing a sustainable manufacturing strategy. In this hybrid method, analytic network process handles the complexity of the problem structure under consideration, fuzzy set theory is used to describe vagueness in individual decision-making and probability theory is used to handle randomness in group decision-making. This holistic methodological approach addresses complexity and uncertainty both in individual and group decision-making which is useful in modeling group decisions such as developing a sustainable manufacturing strategy. In this work, an inclusive approach of integrating traditional manufacturing strategy concepts and sustainable manufacturing principles is proposed as a unifying decision model. The proposed decision structure adopts the hierarchical structure of manufacturing strategy and explores the presence of strategic responses and stakeholders’ interests as significant components of sustainability. Using PROFUZANP, the decision model identifies the content policies of sustainable manufacturing strategy. This content strategy is expected to address both competitiveness and sustainability of manufacturing firms. Results are reported in this paper along with insights and future work. The contribution of this work is the integration of manufacturing strategy and sustainability into a coherent decision framework that requires the use of PROFUZANP in dealing with complex and uncertain group decision-making problem.

Application of Fuzzy Analytic Network Process and TOPSIS Method for Material Supplier Selection

Key Engineering Materials ◽

10.4028/www.scientific.net/kem.728.411 ◽

2017 ◽

Vol 728 ◽

pp. 411-415 ◽

Cited By ~ 6

Author(s):

Nguyen Thanh Phong ◽

Van Nguyen Phuc ◽

To Thuy Hoang Le Nguyen Quyen

Keyword(s):

Decision Making ◽

Supplier Selection ◽

Construction Projects ◽

Significant Proportion ◽

Quantitative Model ◽

Topsis Method ◽

Construction Firms ◽

Network Process ◽

Materials account for a significant proportion of engineering and construction projects budget. Therefore, selecting appropriate material supplier criteria is a critical economic decision, and it plays a significant role in the success of any engineering and construction firms. Traditional supplier evaluating decision-making methods are usually based on subjective opinions of experts, resulting in irrational and inappropriate decisions. This paper proposes a quantitative model for selecting a material supplier by using the Fuzzy Analytic Network Process and TOPSIS method. In this model, the material supplier selection criteria are weighted by using Group Fuzzy Analytic Network Process (GFANP). Then material suppliers are ranked using the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method. The proposed decision-making model can provide a robust approach for solving material supplier selection problems.

Development of a fuzzy decision support system for commodity acquisition using fuzzy analytic network process

Expert Systems with Applications ◽

10.1016/j.eswa.2009.07.017 ◽

2010 ◽

Vol 37 (3) ◽

pp. 1939-1945 ◽

Cited By ~ 19

Author(s):

Semra Boran ◽

Kerim Goztepe

Keyword(s):

Decision Support ◽

Decision Support System ◽

Support System ◽

Fuzzy Decision ◽

Network Process ◽

Fuzzy Decision Support System ◽

IMPORTANCE-PERFORMANCE ANALYSIS BASED BALANCED SCORECARD FOR PERFORMANCE EVALUATION IN HIGHER EDUCATION INSTITUTIONS: AN INTEGRATED FUZZY APPROACH

Journal of Business Economics and Management ◽

10.3846/jbem.2020.11940 ◽

2020 ◽

Vol 21 (3) ◽

pp. 647-678

Author(s):

Salman Nazari-Shirkouhi ◽

Saeed Mousakhani ◽

Mahdokht Tavakoli ◽

Mohammad Reza Dalvand ◽

Jonas Šaparauskas ◽

...

Keyword(s):

Higher Education ◽

Decision Making ◽

Performance Evaluation ◽

Performance Analysis ◽

Balanced Scorecard ◽

Higher Education Institutions ◽

Fuzzy Decision Making ◽

The Balanced Scorecard ◽

Network Process

Recognizing the state of the universities and disrupting their functions by performance evaluation helps them adopt more appropriate educational, research and institutional policies to conduct a university system. In this paper, the importance of the services provided and the activities of the university are determined by means of the balanced scorecard (BSC) approach, and the performance assessment structure is implemented based on an integrated fuzzy multi-criteria decision making (MCDM) approach. For this purpose, interdependencies between BSC aspects and effective indicators weight are determined by Fuzzy Decision-Making Trial and Evaluation Laboratory (FDEMATEL) and Fuzzy Analytic Network Process (FANP) methods, respectively. Accordingly, the final weight of the effective indexes on the performance evaluation of university is presented and the educational income is recognized as one of the most important indicators. Finally, the priorities of universities are specified in order to improve the performance and policy making by the importance-performance analysis (IPA). Therefore, the growth of the number of students should be considered as one of the most important stages in improving university performance in the future in order to achieve educational income. Moreover, the guidelines for universities and higher education institutions are presented to identify key factors in implementing and improving performance.

Interrelations among Leadership Competencies of BIM Leaders: A Fuzzy DEMATEL-ANP Approach

Sustainability ◽

10.3390/su12187830 ◽

2020 ◽

Vol 12 (18) ◽

pp. 7830 ◽

Cited By ~ 1

Author(s):

Seyed Armin Mirhosseini ◽

Reza Kiani Mavi ◽

Neda Kiani Mavi ◽

Behzad Abbasnejad ◽

Farzaneh Rayani

Keyword(s):

Decision Making ◽

Leadership Style ◽

Implementation Process ◽

Leadership Competencies ◽

Information Modeling ◽

Fuzzy Decision Making ◽

Competency Assessment ◽

Fuzzy Dematel ◽

Network Process

The use of new, digitally enabled innovations, such as building information modeling (BIM), raises issues such as the delineation of a competent leader. Even though BIM-based competency assessment models have become essential tools for maximizing the potential values of BIM implementation, the current competency models provide limited focus on leadership aspects that facilitate and enhance the BIM implementation efforts. This paper seeks to identify the specific competencies required for BIM implementation and examines the relationships between these competencies. Thirty-two experts from around the globe investigated a total of 15 leadership competencies under three categories pertaining to intellectual, managerial, and emotional leadership. Fuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL) was implemented to examine the cause-and-effect relationships among the BIM leadership competencies and fuzzy analytic network process (ANP) was performed to weigh those competencies. Findings show that the intellectual competencies act as the cause group, while managerial and emotional competencies are the effect groups. Moreover, the involving leadership is found to be the more suitable leadership style for BIM professionals, given the current capability and maturity levels of BIM implementation, in order to deal with the required changes throughout the BIM implementation process. This study contributes to the existing body of knowledge in the BIM domain to examine the associated leadership competencies by using the multi-criteria decision-making (MCDM) technique. The results of this research show the relative importance of criteria and sub-criteria, which contributes to further improvement of BIM leadership.