Applying fuzzy-MSGP approach for supplier evaluation and selection in food industry

Liao, Chin-Nung; Fu, Yan‐Kai; Chen, Yung-Cheng; Chih, I-Liang

doi:10.5897/ajarx11.088

Cited by 7 publications

(5 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As recapitulated in Table 2, a handful of methods for alternatives problems have been described in the document, most of the techniques in the document are from the field of MCDM, such as OPA [20][21][22][23], fuzzy Technique for Order Performance by Similarity to Ideal Solution (FTOPSIS) [6,[24][25][26], Gray model [27][28][29], NFAD [30,31]. This issue may have been partially solved by previous papers using Data Envelopment Analysis (DEA) models [22,30,[32][33][34][35][36], and other MCDM [6,24,26,28,[37][38][39][40][41][42]. The authors apply or combine these methods to compare results.…”

Section: The Methodsmentioning

confidence: 99%

Applying an Ordinal Priority Approach Based Neutrosophic Fuzzy Axiomatic Design Approach to Develop Sustainable Geothermal Energy Source

Wang,

Pham,

Nhieu

2024

ENERGY

View full text Add to dashboard Cite

Geothermal energy is considered a renewable, environmentally friendly, especially carbon-free, sustainable energy source that can solve the problem of climate change. In general, countries with geothermal energy resources are the ones going through the ring of fire. Therefore, not every country is lucky enough to own this resource. As a country with 117 active volcanoes and within the world's ring of fire, it is a country whose geothermal resources are estimated to be about 40% of the world's geothermal energy potential. However, the percentage used compared to the geothermal potential is too small. Therefore, this is the main energy source that Indonesia is aiming to exploit and use. However, the deployment and development of this energy source are still facing many obstacles due to many aspects from budget sources due to high capital costs, factory construction location, quality of resources, and conflicts of the local community. In this context, determining the optimal locations for geothermal energy sites (GES) is one of the most important and necessary issues. To strengthen the selection methods, this study applies a two-layer fuzzy multi-criteria decision-making method. Through the layers, the Ordinal Priority Approach (OPA) is proposed to weight the sub-criteria, the main criterion, and the sustainability factors. In layer 2, the Neutrosophic Fuzzy Axiomatic Design (NFAD) is applied to rank and evaluate potential locations for geothermal plant construction. Choosing the right geothermal energy site can bring low-cost efficiency, no greenhouse gas emissions, and quickly become the main energy source providing electricity for Indonesia. The final ranking shows Papua, Kawah Cibuni, and Moluccas as the three most suitable cities to build geothermal energy systems. Kawah Cibuni was identified as the most potential GES in Indonesia, with a score of 0.46. Papua is the second most promising GES with a score of 0.45. Next is the Moluccas, with a score of 0.39. However, the three least potential sites among the 15 studied sites are Lumut Balai, Moluccas and Patuha, with scores of 0.08, 0.11 and 0.17, respectively. The conclusion of this study also classifies positions into groups to aid in decision-making.

show abstract

Section: The Methodsmentioning

confidence: 99%

Applying an Ordinal Priority Approach Based Neutrosophic Fuzzy Axiomatic Design Approach to Develop Sustainable Geothermal Energy Source

Wang,

Pham,

Nhieu

2024

ENERGY

View full text Add to dashboard Cite

show abstract

“…In addition, to assess the environmental impact of production systems, sub-criteria on emissions, certificates of environmental standards and environmentally friendly materials are introduced in the studies. As summarized in Table 2, several methods for alternative selection problems have been reported in the literature, almost the techniques in the literature are from the MCDM field, such as FAHP [5,14,15,18,[27][28][29][30][31][32][33][34][35][36][37][38][39][40], FANP [6,27,37,41], FTOPSIS [4,11,29,36,40,42,43], and others [6,18,24,35,43,44]. This problem may have been partly addressed by previous studies by DEA models [5,27,32,33,35,37] and mathematical optimization models [24,45].…”

Section: Literature Reviewmentioning

confidence: 99%

“…In addition, the meta-review presented by Daraio et al identified gaps and overlaps in empirical surveys in more than twenty areas [9]. In addition, fuzzy logic theory is often used for the purpose of strengthening the above methods when applied under uncertain conditions [10][11][12]. However, no single approach or methodology appears to be universally suitable for both quantitative and qualitive criteria A&TOMs selection problem under uncertainty environment.…”

Section: Introductionmentioning

confidence: 99%

Multi-Layer Fuzzy Sustainable Decision Approach for Outsourcing Manufacturer Selection in Apparel and Textile Supply Chain

Wang

Pham

Nhieu

2021

Axioms

View full text Add to dashboard Cite

The apparel and textile industry are known as a key sector in the structure of many economies around the world. In particular, the influence of foreign outsourcing manufacturers on textile supply chains has been recognized for decades. The outsourcing manufacturers are multi-criteria selected and changed by supply chain managers from time to time in search of the most efficient state for the entire supply chain. This is a known concern with the community and there is large interest in studying the apparel and textile outsourcing manufacturer problems. Aiming at reinforcing the selection methods, this study develops a three-layer fuzzy multiple criteria decision-making approach that leverages the strengths from the original methods. In turn through the layers, the hierarchy and weights of criteria and sub-criteria, which includes sustainability factors, are determined by the fuzzy analytic hierarchy process (FAHP) method. Next, the results from the fuzzy technique for order of preference by similarity to ideal solution (FTOPSIS) process determine the outsourcing manufacturer’s performance via expert linguistics judgments. Then, data envelopment analysis (DEA) models are applied for the purpose of evaluating the outsourcing manufacturer’s overall performance along with other quantitative effectiveness. This approach is applied to the problem of selecting the apparel and textile outsourcing manufacturers in Vietnam, one of the places that makes the necessity of this problem grow. The third position in the world apparel and textile export ranking, as well as the trend of shifting labor-intensive production systems to Southeast Asia make the necessity of Vietnam outsourcing manufacturer selection problem grow. The results of this study also classified manufacturers into groups as a support for selection decisions. Analysis of quantitative uncertainties using simulation tools and forecasting techniques can strengthen the solutions in future related studies.

show abstract

“…Table 1 presents some of the techniques found in the literature, using fuzzy set theory with MCDM techniques, that were used to select suppliers, for example, Fuzzy and AHP, Fuzzy and TOPSIS, and Fuzzy and SWARA. With regard to the supplier selection problem in the food industry, there is limited amount of literature discussing formal reference frameworks (Magdalena, 2012;Liao, 2012;Lin & Wu, 2011;Pasek, 2011;Azadnia et al, 2015;Nakandala et al, 2017;Rathore et al, 2017;Jafarzadeh Ghoushchi et al, 2019;Khan et al, 2019;Liu et al, 2019;Wang et al, 2020;Kaviani et al, 2020), especially in the Brazilian context Freitas et al, 2020) Table 1. Decision techniques for supplier selection models in the food industry.…”

Section: Multicriteria Decision-making Techniques For Supplier Selectionmentioning

confidence: 99%

“…In the literature, some relevant articles articles have used hybrid decision-making methods to select or evaluate suppliers in the food supply chain (Magdalena, 2012;Liao, 2012;Lin & Wu, 2011;Pasek, 2011;Nakandala et al, 2017;Rathore et al, 2017;Jafarzadeh Ghoushchi et al, 2019;Liu et al, 2019;Wang et al, 2020;Kaviani et al, 2020), including using the Fuzzy AHP technique (Azadnia et al, 2015;Khan et al, 2019). However, food security, when addressed, is incorporated as part of quality, not being assessed at the first level and separately as other criteria (e.g.…”

Section: Introductionmentioning

confidence: 99%

A fuzzy AHP approach to select suppliers in the Brazilian food supply chain

Ramos

Silva

Lima

2020

Prod.

View full text Add to dashboard Cite

Paper aims: This research proposes to apply the Fuzzy Analytical Hierarchy Process method for the supplier's selection in a Brazilian food company. Originality: It is the first time that food security has been incorporated as a first-level criterion in a process of selecting suppliers in a Brazilian food chain. Research method: Practical application was carried out in a food company located in Brazil. Main findings: Safety is the most important criteria when selecting a supplier, which ended up reflecting the placement of Supplier 3 as the best rated. Implications for theory and practice: This research provides the first practical application of a hybrid mathematical technique in the process of selecting suppliers in a Brazilian food chain, evaluating the Food Security criterion on an equal basis with the others, and not as a sub criterion. The model can help managers better understand their suppliers' capabilities and performance.

show abstract

Applying fuzzy-MSGP approach for supplier evaluation and selection in food industry

Cited by 7 publications

References 38 publications

Applying an Ordinal Priority Approach Based Neutrosophic Fuzzy Axiomatic Design Approach to Develop Sustainable Geothermal Energy Source

Applying an Ordinal Priority Approach Based Neutrosophic Fuzzy Axiomatic Design Approach to Develop Sustainable Geothermal Energy Source

Multi-Layer Fuzzy Sustainable Decision Approach for Outsourcing Manufacturer Selection in Apparel and Textile Supply Chain

A fuzzy AHP approach to select suppliers in the Brazilian food supply chain

Contact Info

Product

Resources

About