Supplier selection considering sustainability measures: an application of weight restriction fuzzy-DEA approach

2018 ◽  
Vol 52 (3) ◽  
pp. 981-1001 ◽  
Author(s):  
Atefeh Amindoust
Keyword(s):  
Supply Chain ◽  
Supplier Selection ◽  
Social Issues ◽  
Selection Process ◽  
Essential Element ◽  
Dea Model ◽  
Weight Restriction ◽  
Proposed Model ◽  
Automotive Parts ◽  
Fuzzy Dea

With the growing of consumer awareness in environmental and social issues sustainable development has become an essential element in supply chain management. Supplier evaluation and selection is one of the main strategic decisions for purchasing management in supply chain. This paper use Data Envelopment Analysis (DEA) to propose a new model for evaluation and ranking of a given set of suppliers from sustainable point of view. The proposed model integrates the fuzzy set theory and DEA to consider the decision makers’ preferences and handle the ambiguity and uncertainty in supplier selection process. For this purpose, linguistic values in the form of triangular fuzzy numbers are used to assess the weights of criteria, sub-criteria, and the ratings of suppliers’ performance with respect to sub-criteria. Then, a fuzzy-DEA model, using α-cut approach, is developed considering weight constraints. An application from Supplying Automotive Parts Company (SAPCO) Company, which is one of the largest suppliers of automotive parts in the Middle-East, is presented to show the applicability of the proposed model. Finally, the proposed weight restriction fuzzy-DEA model is validated through comparing with one of the recent supplier selection methods.

A multi-objective supplier selection model for green supply chain network under uncertainty

2018 ◽  
Vol 13 (3) ◽  
pp. 605-625 ◽  
Author(s):  
Mohammad Khalilzadeh ◽  
Hadis Derikvand
Keyword(s):  
Supply Chain ◽  
Supplier Selection ◽  
Objective Function Value ◽  
Selection Problem ◽  
Green Supply Chain ◽  
Content Type ◽  
Multi Objective ◽  
Proposed Model ◽  
Objective Model ◽  
Supplier Selection Problem

Purpose Globalization of markets and pace of technological change have caused the growing importance of paying attention to supplier selection problem. Therefore, this study aims to choose the best suppliers by providing a mathematical model for the supplier selection problem considering the green factors and stochastic parameters. This paper aims to propose a multi-objective model to identify optimal suppliers for a green supply chain network under uncertainty. Design/methodology/approach The objective of this model is to select suppliers considering total cost, total quality parts and total greenhouse gas emissions. Also, uncertainty is tackled by stochastic programming, and the multi-objective model is solved as a single-objective model by the LP-metric method. Findings Twelve numerical examples are provided, and a sensitivity analysis is conducted to demonstrate the effectiveness of the developed mathematical model. Results indicate that with increasing market numbers and final product numbers, the total objective function value and run time increase. In case that decision-makers are willing to deal with uncertainty with higher reliability, they should consider whole environmental conditions as input parameters. Therefore, when the number of scenarios increases, the total objective function value increases. Besides, the trade-off between cost function and other objective functions is studied. Also, the benefit of the stochastic programming approach is proved. To show the applicability of the proposed model, different modes are defined and compared with the proposed model, and the results demonstrate that the increasing use of recyclable parts and application of the recycling strategy yield more economic savings and less costs. Originality/value This paper aims to present a more comprehensive model based on real-world conditions for the supplier selection problem in green supply chain under uncertainty. In addition to economic issue, environmental issue is considered from different aspects such as selecting the environment-friendly suppliers, purchasing from them and taking the probability of defective finished products and goods from suppliers into account.

scholarly journals Integration of sustainability aspects in the supplier selection process: a case study from a German electronics firm

2020 ◽  
Vol 3 (2) ◽  
pp. 13-27
Author(s):  
Rubén Medina Serrano ◽  
Wanja Wellbrock ◽  
María Reyes González Ramirez ◽  
José Luis Gascó
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Supplier Selection ◽  
Selection Process ◽  
Research Work ◽  
Academic Research ◽  
Professional Activity ◽  
Chain Management ◽  
Sustainable Supplier Selection

The supplier selection process has become an important area of research and professional activity, and it is fundamental to understand the types and trends of research in this field. The appropriate supplier selection decision is a fundamental strategic process and plays an important role in supply chain management. In the last decade, academic research on sustainability has evolved rapidly in the supply chain literature. However, there has been scant opportunity for the research community to complete a global assessment of sustainable supplier selection activities to date. This paper seeks to address this need by exploring sustainability in supply chain management, developing a sustainable supplier selection framework with a tool for its operationalization to help managers evaluate supplier selection decisions. Our proposed model is based on the TOPSIS concept as a multiple criteria decision-making (MCDM) model and is validated through a case study. This research work follows the best-in-class approach to comply with all applicable environmental regulations and laws in the supplier selection process.

AHP Approach for Supplier Selection in a Polyamide Fiber Plant in Supply Chain Management

2011 ◽  
Vol 299-300 ◽  
pp. 1252-1255
Author(s):  
Hui Jin ◽  
Chun Ling Liu ◽  
Xing Yu Wang
Keyword(s):  
Supply Chain ◽  
Supplier Selection ◽  
Supplier Evaluation ◽  
Proposed Model ◽  
Polyamide Fiber ◽  
Fiber Plant ◽  
And Performance ◽  
Supplier Selection Problem

Supplier evaluation and selection is one of the most important components of supply chain, which influence the long term commitments and performance of the plant. Supplier selection is a complex multi-criteria problem which includes both qualitative and quantitative factors. In order to select the best suppliers it is essential to make a trade off between these tangible and intangible factors some of which may conflict. In this paper, an AHP-based supplier selection model is formulated and then applied to a real case study for a polyamide fiber plant in China. The use of the proposed model indicates that it can be applied to improve and assist decision making to resolve the supplier selection problem in choosing the optimal supplier combination.

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.

Efficiency Evaluation of Supply Chain Network Using a Framework Based on DEA and Seller-Buyer Structure

2020 ◽  
Vol 37 (06) ◽  
pp. 2050029 ◽  
Author(s):  
Hassan Arabshahi ◽  
Hamed Fazlollahtabar ◽  
Leila Maboudi
Keyword(s):  
Supply Chain ◽  
Supplier Selection ◽  
Selection Procedure ◽  
Point Of View ◽  
Decision Makers ◽  
Efficiency Evaluation ◽  
Supply Chain Network ◽  
Stage Model ◽  
Proposed Model ◽  
Efficient Portfolios

This paper aims to develop a DEA-based framework to evaluate the efficiency of the supply chain based on the seller–buyer structure and with respect to win–win strategy. This is a bi-stage model employing the CCR model in the forms of input-oriented and output-oriented considering the intermediate measures for two different conditions under a centralized point of view. The obtained results from the extension of this model to supply chain network lead to introduce “efficient path” concept being a path including different components of the supply chain that are efficient in terms of DEA. Other kinds of proper information provided by the proposed model can help the managers and decision-makers of the supply chain field in supplier selection procedure and making efficient portfolios and collaborations across the supply chain network.

scholarly journals Supplier Selection Criteria in the Context of City Government: Evidence from Renowned Organizations of Karachi City

2020 ◽  
Vol 12 (2) ◽  
pp. 85-108
Author(s):  
Muhammad Faisal Sultan ◽  
Masood Hassan ◽  
Farhan Zeb Khaskhelly
Keyword(s):  
Supply Chain ◽  
Supplier Selection ◽  
Selection Process ◽  
The State ◽  
City Government ◽  
Generic Model ◽  
Supply Chain Strategy ◽  
Multinational Organizations ◽  
Major Factors ◽  
The City

Supplier selection is one of the most important elements of the procurement process which has the ability to influence the performance of the entire supply chain management. Thus, it is considered as one of the major factors in the supply chain strategy in multinational organizations. Contrarily, least attention is given to the subject by the companies originated in Pakistan. Lack of research in this domain is also impairing this issue. Regardless of the importance of the supplier selection subject, the state-owned companies in Pakistan, are specifically, paying least concern towards it. Thus, the purpose of this study is to identify the importance of different factors of supplier selection, by the state-owned enterprises working under the city government of Karachi. In order to simplify the model, researchers predominantly focused on the generic criteria for supplier selection and further included some other variables like HSSE/ ISO policies and flexible contract terms to the research model. Moreover, moderation has also been used in order to replicate the model effectively with the scenario of Karachi. After adoption of the generic model of supplier selection, Hayes model has been used for the analysis of data. The study findings reveal that the organization working under the City Government of Karachi have different criteria and preferences for supplier selection. Hence the research is pervasive in nature and can be adopted by policy makers and technocrats in order to improve the supplier selection process of state-owned enterprises.

scholarly journals An Integrated Interval type 2 fuzzy AHP and COPRAS-G methodologies for supplier selection in the era of Industry 4.0

2021 ◽  
Author(s):  
Sema Kayapinar Kaya ◽  
Ejder Aycin
Keyword(s):  
Supply Chain ◽  
Industry 4.0 ◽  
Supplier Selection ◽  
Business Models ◽  
Selection Process ◽  
Fuzzy Ahp ◽  
Evaluation Criteria ◽  
Dynamic Structure ◽  
Interval Type

Abstract Supply chain has a very extensive and dynamic structure that incorporates new business models, new customer expectations, market searches and technological developments. With the introduction of Industry 4.0 into supply chain, a rapid and intensive process of digitalization begin to transform every step of supply chain. Supply chain selection is one of the essential decisions in reducing the supply chain cost and improving overall quality of product and services. With the implication of digital technologies and Industry 4.0 on supply chain, the supplier selection process has been significantly changed during the recent years. Companies are willing to need new requirements for their own suppliers in accordance with Industry 4.0 implementations and technologies. This paper aims to identify key criteria to Industry 4.0 technologies and evaluate them to select the right suppliers selection in the era of Industry 4.0 Within the scope of this study attempts to develop an integrated Interval Type 2 Fuzzy AHP and GOPRAS-G methodology to select the appropriate supplier in the face of Industry 4.0 implementations. For this purpose, Interval Type 2 Fuzzy AHP was employed to weight the supplier evaluation criteria and then, Grey COPRAS method has been applied to prioritize suppliers. This paper is to provide practitioners and researchers with insight into how Industry 4.0 strategies influence on supplier selection.

Multi-criteria supplier selection model using the analytic hierarchy process approach

2016 ◽  
Vol 11 (1) ◽  
pp. 326-354 ◽  
Author(s):  
Vinod Yadav ◽  
Milind Kumar Sharma
Keyword(s):  
Analytic Hierarchy Process ◽  
Automobile Industry ◽  
Supplier Selection ◽  
Selection Process ◽  
Selection Model ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Proposed Model ◽  
Hierarchy Process

Purpose – The purpose of this paper is to propose a supplier selection model for an automobile company using analytic hierarchy process (AHP) approach. Supplier selection is now growing to be an important but complex issue, as it involves a large number of factors and decisions. These factors have complicated operational and financial implications. Design/methodology/approach – A case study of an Indian automobile company is used to illustrate and propose a supplier selection model using AHP approach. Findings – Key criteria of the supplier selection problem are identified based on the literature review and case study. Then, a model is proposed for supplier selection using AHP approach followed by a detailed sensitivity analysis. Practical implications – This paper contributes to supplier selection process, and points out the importance of supplier selection. It proposes a supplier selection model for an automobile industry which often faces heterogeneous supply environments. The proposed model provides key criteria for supplier selection in Indian context. This model may have high acceptability, where a large number of suppliers are available to supply the materials or provide the services. Originality/value – The proposed model can provide guidelines and directions for managers involved in purchasing function to effectively select suppliers on the basis of the identified criteria in the heterogeneous manufacturing environment.

Sign in / Sign up

Export Citation Format

Share Document