A fuzzy three-stage multi-attribute decision-making approach based on customer needs for sustainable supplier selection

2019 ◽  
Vol 239 ◽  
pp. 118043 ◽  
Author(s):  
Aijun Liu ◽  
Yaxuan Xiao ◽  
Hui Lu ◽  
Sang-Bing Tsai ◽  
Wei Song
Keyword(s):  
Decision Making ◽  
Supplier Selection ◽  
Customer Needs ◽  
Sustainable Supplier Selection ◽  
Multi Attribute Decision Making

An Interval Valued Neutrosophic Decision-Making Structure for Sustainable Supplier Selection

2021 ◽  
pp. 115354
Author(s):  
Morteza Yazdani ◽  
Ali Ebadi Torkayesh ◽  
Željko Stević ◽  
Prasenjit Chatterjee ◽  
Sahand Asgharieh Ahari ◽  
...  
Keyword(s):  
Decision Making ◽  
Supplier Selection ◽  
Sustainable Supplier Selection ◽  
Interval Valued

Sustainable circular supplier selection and evaluation in the manufacturing sector using Pythagorean fuzzy EDAS approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Chang Liu ◽  
Pratibha Rani ◽  
Khushboo Pachori
Keyword(s):  
Decision Making ◽  
Human Behavior ◽  
Circular Economy ◽  
Supplier Selection ◽  
Manufacturing Sector ◽  
Uncertain Information ◽  
Manufacturing Companies ◽  
Content Type ◽  
Sustainable Supplier Selection ◽  
Selection Of

PurposeDue to stern management policies and increased community attentiveness, sustainable supply chain management (SSCM) performs a vast component in endeavor operation and production management. Sustainable circular supplier selection (SCSS) and evaluation presented the environmental and social concerns in the fields of circular economy and sustainable supplier selection. Choosing the optimal SCSS is vital for organizations to persuade SSCM, as specified in various researches. Based on the subjectivity of human behavior, the selection of ideal SCSS often involves uncertain information, and the Pythagorean fuzzy sets (PFSs) have a huge capability to tackle strong vagueness, uncertainty and inaccuracy in the multi-criteria decision-making (MCDM) procedure. Here, a framework is developed to assess and establish suitable suppliers in the SSCM and the circular economy.Design/methodology/approachThis paper introduced an extended framework using the evaluation based on distance from average solution (EDAS) with PFSs and implemented it to solve the SCSS in the manufacturing sector. Firstly, the PFSs to handle the uncertain information of decision experts (DEs) is employed. Secondly, a novel divergence measure and parametric score function for calculating the criteria weights are proposed. Thirdly, an extended decision-making approach, known as PF-EDAS, is introduced.FindingsThe outcomes and comparative discussion show that the developed method is efficient and capable of facilitating the DEs to choose desirable SCSS. Therefore, the proposed framework can be used by organizations to assess and establish suitable suppliers in the SCSS process in the circular economy.Originality/valueSelecting the optimal sustainable circular supplier (SCS) in the manufacturing sector is important for organizations to persuade SSCM, as specified in various research. However, corresponding to the subjectivity of human behavior, the selection of the best SCS often involves uncertain information, and the PFSs have a huge capability to tackle strong vagueness, uncertainty and inaccuracy in the MCDM procedure. Hence, manufacturing companies' administrators can implement the developed method to assess and establish suitable suppliers in the SCSS process in the circular economy.

An Application of the Integrated IBA-TOPSIS Model in Supplier Selection

2015 ◽  
Vol 7 (1) ◽  
pp. 15-30 ◽  
Author(s):  
Ksenija Mandić ◽  
Boris Delibašić ◽  
Dragan Radojević
Keyword(s):  
Decision Making ◽  
Boolean Algebra ◽  
Supplier Selection ◽  
Selection Process ◽  
Real Life ◽  
Decision Makers ◽  
Proposed Model ◽  
Qualitative Variables ◽  
Hidden Knowledge ◽  
Multi Attribute Decision Making

The supplier selection process attracted a lot of attention in the business management literature. This process takes into consideration several quantitative and qualitative variables and is usually modeled as a multi-attribute decision making (MADM) problem. A recognized shortcoming in the literature of classical MADM methods is that they don't permit the identification of interdependencies among attributes. Therefore, the aim of this study is to propose a model for selecting suppliers of telecommunications equipment that includes the interaction between attributes. This interaction can model the hidden knowledge needed for efficient decision-making. To model interdependencies among attributes the authors use a recently proposed consistent fuzzy logic, i.e. interpolative Boolean algebra (IBA). For alternatives ranking they use the classical MADM method TOPSIS. The proposed model was evaluated on a real-life application. The conclusion is that decision makers were able to integrate their reasoning into the MADM model using interpolative Boolean algebra.

Study on Conversion of Customer Needs in Product Development

2010 ◽  
Vol 102-104 ◽  
pp. 801-806
Author(s):  
Fu Hong Zeng ◽  
Lan Hua Zhou
Keyword(s):  
Decision Making ◽  
Programming Model ◽  
House Of Quality ◽  
Specific Product ◽  
Customer Needs ◽  
Resource Limitations ◽  
Technical Requirements ◽  
Target Values ◽  
Multi Attribute Decision Making ◽  
The Right

In order to translate the Customer Needs (CN) for the specific product into the right Technical Requirements (TR), the structure of conventional House of Quality (HOQ) is modified to have HOQ fit in with the needs of multi-attribute decision-making. Then, an Objective Programming Model (OPM) based on HOQ is constructed, which fully considers the design team's experience, and the interdependence between CN and TR, and the inner-dependences within themselves, along with resource limitations, and multi-objective nature of the problem. The target values of TR are obtained by solving the OPM using MATLAB, which can fully meet the CN. Finally an example is given, and the OPM is proved to be reasonable and effective.

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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