scholarly journals Location Selection of a Manufacturing Facility from the Perspective of Supply Chain Sustainability

Symmetry ◽  
2020 ◽  
Vol 12 (9) ◽  
pp. 1418
Author(s):  
Sun-Weng Huang ◽  
James J.H. Liou ◽  
William Tang ◽  
Gwo-Hshiung Tzeng
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Process Model ◽  
Multiple Criteria Decision Making ◽  
Analytic Network Process ◽  
Entropy Method ◽  
Location Selection ◽  
Subjective Weight ◽  
Network Process ◽  
The Right

When threatened with catastrophic political or economic fluctuations, a firm might be forced to consider relocating their supply chain to reduce the risk. Such a relocation necessitates a series of changes, so making the right decision is crucial for sustainable development of the company. In the past, various models have been developed to help managers to select the optimal location. However, most of these considered the factors independently but in the real world, these factors have a mutually influential relationship. This study purposes a hybrid multiple criteria decision making (MCDM) model to provide decision makers with a comprehensive framework to evaluate the best strategies to solve relocation problems, which also considers the interdependency between criteria. The model incorporates the DANP (Decision Making Trial and Evaluation Laboratory-based Analytic Network Process) model (subjective weight) and entropy method (objective weight) to determine the weights of the criteria. Then, the modified VIKOR (VIšekriterijumsko Kompromisno Rangiranje) method is applied to select the optimal alternative for relocation. The usefulness of the model is demonstrated by taking an electronics manufacturing company with a global supply chain as an example. The results indicate that the proposed hybrid model can assist companies in choosing the best locations for their supply chains for sustained development.

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 NAVIGATING SWOT-FANP WITH GSM METHOD TO PRIORITIZE THE STRATEGIC LOCATION

2015 ◽  
Vol 21 (1) ◽  
pp. 140-163 ◽  
Author(s):  
Yun-Huei LEE
Keyword(s):  
Decision Making ◽  
Process Analysis ◽  
Multiple Criteria Decision Making ◽  
Analytic Network Process ◽  
Quantitative Information ◽  
Strategic Decision ◽  
Location Selection ◽  
Network Process ◽  
Second Tier ◽  
Focus Strategy

This paper proposes a SWOT-FANP (strengths, weaknesses, opportunities, and threats – fuzzy analytic network process) analysis, together with the grand strategy matrix method (GSM) to deal with the multiple-criteria decision-making problem of location selection for a second tier city in China. This hybrid method can not only combine both qualitative and quantitative information and utilize fuzzy logic to eliminate vagueness, subjectivity, and imprecision, it can also clearly represents the competitive position of second-tier cities on a the quadrant coordinate to help an enterprise choose a strategy for development. To this end, I empirically chose a multinational pharmaceutical enterprise (MNE) as an illustrative example. The results reveal that Suzhou and Chongqing cities are in the best positions in the competition as a result of having external opportunities for development and internal competing strength. Moreover, the MNE could adopt a niche-focus strategy for the market by focusing on specific ailments to which people in Chinese communities are vulnerable to strengthen their competitive strengths. This study demonstrates and validates that such an enhanced methodology is viable and highly capable of providing enriched insights regarding strategic decision-making management in complex real-world situations.

Selecting Candidate Suppliers Using a Multiple Criteria Decision Making Model

2013 ◽  
Vol 694-697 ◽  
pp. 3472-3475 ◽  
Author(s):  
Amy H.I. Lee ◽  
He Yau Kang ◽  
Chun Yu Lin ◽  
Hsin Wei Wu
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Evaluation Criteria ◽  
Multiple Criteria Decision Making ◽  
Analytic Network Process ◽  
High Tech ◽  
Supplier Integration ◽  
Network Process ◽  
Decision Making Model ◽  
Selection Of

High-tech firms are usually under a dynamically changing and fierce competitive environment these days. In order to survive in such an intensive competitive international market, a firm not only needs to manufacture outstanding products that meet the demands of its customers, it also needs to have a comprehensive supply chain management. To achieve the benefits of buyer-supplier integration, in terms of increased internal efficiency and profitability of the players in a supply chain, the identification of viable suppliers is a preliminary step that needs to be properly managed. Thus, to be cost competitive and to acquire decent profit in the market, the selection of the most appropriate suppliers is essential. In this paper, a supplier selection model is constructed by applying methodologies including decision making trial and evaluation laboratory (DEMATEL) and analytic network process (ANP) to determine the interrelationship among the evaluation criteria and to select the most appropriate suppliers for cooperation.

An Analytical Model for Evaluating Wind Turbine Types

2014 ◽  
Vol 543-547 ◽  
pp. 333-336 ◽  
Author(s):  
Amy H.I. Lee ◽  
Meng Chan Hung ◽  
W.L. Pearn ◽  
He Yau Kang
Keyword(s):  
Decision Making ◽  
Renewable Energy ◽  
Evaluation Model ◽  
Renewable Energy Sources ◽  
Multiple Criteria Decision Making ◽  
Analytic Network Process ◽  
Renewable Energy Resources ◽  
Network Process ◽  
Term Energy

With worldwide developments stressing the security, economy, human well-beings and environmental costs of relying heavily on fossil and nuclear energy, the demand of safe renewable energy resources is expanding consistently and tremendously in recent years. With its safe and environmental characteristics, wind energy production has become one of the fastest growing renewable energy sources in the world. While new wind power capacity is being added in more places in various countries, the installation of wind turbines is an important process for long-term energy generation. In this study, an evaluation model, which incorporates multiple criteria decision making (MCDM) methods, including decision making trial and evaluation laboratory (DEMATEL) and fuzzy analytic network process (FANP), is developed to establish interactive relationships between criteria. Fuzzy Yager ranking method is used for deffuzification. The final ranking of the alternatives is obtained, and this can provide decision-makers for references.

Integration of SWOT analysis with hybrid modified TOPSIS for the lean strategy evaluation

2016 ◽  
Vol 232 (7) ◽  
pp. 1295-1309 ◽  
Author(s):  
Suresh Prasad ◽  
Dinesh Khanduja ◽  
Surrender K Sharma
Keyword(s):  
Decision Making ◽  
Swot Analysis ◽  
Multiple Criteria Decision Making ◽  
Evaluation Process ◽  
Analytic Network Process ◽  
Foundry Industry ◽  
Strategy Evaluation ◽  
Network Process ◽  
Modified Topsis ◽  
Topsis Technique

This article deals with the lean strategy evaluation process using SWOT (strengths, weaknesses, opportunities and threats) analysis aimed at identifying lean strategies and providing an initial decision framework. It involves specifying the objective of the industry and identification of internal and external factors and its sub-factors and lean strategies, which are either favourable or unfavourable in the accomplishment of the stated objective. However, the SWOT analysis method does not provide an analytical method to evaluate the priorities of identified decisive strategic factors. To overcome this limitation, this article presents a case study in an Indian foundry industry using two multiple criteria decision-making methods, that is, analytic network process and modified TOPSIS (technique for order of preference by similarity to ideal solution), to provide a computable basis in determining the rank of lean strategies. In this approach, the analytic network process is used to calculate the priorities of identified SWOT factors and sub-factors and the modified TOPSIS is applied to rank the lean strategies. A sensitivity analysis is also provided to illustrate how ‘sensitive’ the proposed model is to changes in the priorities of SWOT factors. The results show that the quantitative SWOT analysis–based approach is a feasible and exceedingly capable method that provides vital sensitivity in evaluating the priorities of lean strategies for an Indian foundry industry and can also be employed as an effective method for many other complex decision-making processes.

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

2015 ◽  
Vol 6 (2) ◽  
pp. 12-27 ◽  
Author(s):  
Lanndon Ocampo ◽  
Eppie Clark ◽  
Kae Vines Tanudtanud
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Sustainable Manufacturing ◽  
Analytic Network Process ◽  
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.

scholarly journals Integration Dematel and ANP for The Supplier Selection in The Textile Industry: A Case Study

2021 ◽  
Vol 20 (1) ◽  
pp. 119-130
Author(s):  
Dana Marsetiya Utama ◽  
Bianca Maharani ◽  
Ikhlasul Amallynda
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Textile Industry ◽  
Supplier Selection ◽  
Analytic Network Process ◽  
Product Price ◽  
Network Process ◽  
The Relationship ◽  
Selection Of

Currently, companies are required to improve supply chain performance. One of the main problems in the supply chain is the proper supplier selection. Supplier selection has an essential role in improving supply chain management performance. Supplier selection requires the proper criteria. However, the relationship between criteria is rarely considered in the selection of suppliers in the textile industry. This study tries to propose integrating the Decision Making Trial and Evaluation Laboratory (DEMATEL) and the Analytic Network Process (ANP) for supplier selection in the textile industry. Both methods are multi-criteria decision making (MCDM) tools DEMATEL is used to assess the relationship between criteria. Furthermore, ANP is used to evaluate and weigh the importance of criteria and suppliers. A case study was carried out in a textile company located in Indonesia. The results show that this procedure can identify the relationship and effect of each criterion. The results show that the product price criteria are the criteria that have the most significant weight. The criteria for conformity to specifications and consistency of quality are in second and third place. Finally, suppliers are selected based on weight assessment on each criterion by ANP.

scholarly journals Matrix of pairwise comparison: decision making with the analytic network process

2019 ◽  
Vol 110 ◽  
pp. 02042
Author(s):  
Aliya Akhmadullina ◽  
Svetlana Vasilyeva ◽  
Tatyana Yakovleva ◽  
Svetlana Vopiyashina ◽  
Raisa Kraineva
Keyword(s):  
Decision Making ◽  
Environmental Planning ◽  
Pairwise Comparison ◽  
Multicriteria Decision Making ◽  
Analytic Network Process ◽  
Analytic Hierarchy ◽  
Pairwise Comparison Matrix ◽  
Network Process ◽  
Qualitative Factors ◽  
The Right

This article describes a method for analyzing hierarchies; identifies the problems with inconsistent judgments. The proof is given that the most effective tool allowing one to make the right decisions with inconsistencies is the introduction of the eigenvector on environmental planning and management. The Analytic Hierarchy Process (AHP) is a method for decision making, which includes qualitative factors. In this method, ratio scales are obtained from ordinal scales, which are derived from individual judgments for qualitative factors using the pairwise comparison matrix. This paper describes the applicability of a multicriteria decision-making method, specifically, the analytic network process.

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