An Integrated QFD-TOPSIS Approach for Supplier Selection Under Fuzzy Environment

2018 ◽  
Vol 9 (3) ◽  
pp. 62-81 ◽  
Author(s):  
Bentolhoda Rahpeyma ◽  
Mahnaz Zarei
Keyword(s):  
Supplier Selection ◽  
Quality Function Deployment ◽  
Manufacturing Industry ◽  
Integrated Approach ◽  
Service Industries ◽  
Multi Index ◽  
Fuzzy Environment ◽  
Topsis Approach ◽  
Index Problem

This article describes how supplier selection is a multi-index problem which affects the efficiency of the whole supply chain in both manufacturing and service industries. Considering the importance of selecting effective suppliers, this article aims to integrate two well-known techniques, Quality Function Deployment (QFD) and The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) in order to evaluate suppliers and rank them based on their merits. In order to handle the inherent uncertainty in the process of experts' judgments, fuzzy logic is involved in the methodology applied in this study. The validity of the utilized integrated approach is demonstrated through conducting a case study in the detergent manufacturing industry in Iran.

scholarly journals Mathematical Analysis of Supply Chain Optimization focusing on Artificial Neural Network: A case study in Apparel Manufacturing Organization

2022 ◽  
Author(s):  
Shibbir Ahmad ◽  
Mohammad Kamruzzaman
Keyword(s):  
Supply Chain ◽  
Supplier Selection ◽  
Selection Criteria ◽  
Manufacturing Industry ◽  
Supply Chain Optimization ◽  
Apparel Manufacturing ◽  
Manufacturing Organizations ◽  
Manufacturing Organization ◽  
The Right

Abstract In this study, implemented artificial nueral network (Ann) in apparel manufacturing organizations to optimize the supply chain converging on right supplier selection by analyzing their performance criteria.Moreover, data collected from three diffrents factory to analyze the efficiney and profit -loss status of that units. Furthermore, analyze the supplier selection criteria of three suppliers in order to select the right supplier at the real time in apparel manufacturing industry . This study shows that it can be saved 20 % of the total cost.

An Integrated AHP-QFD-Based Compromise Ranking Model for Sustainable Supplier Selection

2020 ◽  
pp. 32-54 ◽  
Author(s):  
Morteza Yazdani ◽  
Prasenjit Chatterjee ◽  
Ali Ebadi Torkayesh
Keyword(s):  
Supplier Selection ◽  
Quality Function Deployment ◽  
Analytic Hierarchy ◽  
Business Decisions ◽  
Industrial Organizations ◽  
Sustainable Supplier Selection ◽  
Integrated Decision Making ◽  
Decision Making Model ◽  
Hierarchy Process

Sustainability in industrial organizations has become a predominant concept in the 21st century due to environmental regulations, economic importance, and social obligations. In this context, sustainable supplier selection plays an epochal role for taking strategic business decisions. So, a systematic approach is required to deal with the sustainable factors. By integrating the three pillars of sustainability, namely economic, environmental, and social factors, this chapter presents an integrated model for supplier selection from a sustainability perspective. The proposed framework combines analytic hierarchy process (AHP) and quality function deployment (QFD) methods to deal with the sustainable criteria. Finally, suppliers are ranked using VIse Kriterijumska Optimizacija kompromisno Resenja (VIKOR) method. The proposed framework is used to analyze a case study of a dairy company, but it can also be implemented for sustainable supplier selection in any industries. The study brings an artefact for managers to effectively analyze suppliers with the integrated decision-making model.

Service supplier selection under fuzzy and stochastic uncertain environments

2021 ◽  
pp. 1-15
Author(s):  
Meng Liu ◽  
Xiaolin Wang ◽  
Yupeng Li
Keyword(s):  
Supplier Selection ◽  
Uncertain Environments ◽  
Selection Problems ◽  
Order Preference ◽  
Effectiveness And Efficiency ◽  
Topsis Approach ◽  
Interval Valued ◽  
Selection Of ◽  
The Ideal

Owing to the heterogeneity and inherent uncertainty of services, the selection of service suppliers is a complicated multi-attribute group decision-making (MAGDM) problem in which fuzzy criteria and stochastic criteria coexist. During the past few decades, many real-world supplier selection problems have been resolved using MAGDM methods. Nevertheless, extant research on supplier selection considers either fuzzy criteria or stochastic criteria, and hence most of these methods cannot address the complex and unstructured nature of contemporary service supplier selection problems. In this study, a novel technique for order preference by similarity to the ideal solution (TOPSIS) approach, integrating both fuzzy criteria and stochastic criteria, is developed; in this approach, the interval-valued intuitionistic fuzzy (IVIF) cross-entropy for fuzzy criteria and the Euclidean distance for stochastic criteria are used to acquire the rankings of alternatives. Moreover, a sensitivity analysis is conducted for a case study of hoisting service supplier selection, and a comparative analysis with other existing methods is performed to confirm the effectiveness and efficiency of the proposed approach.

A QFD-ANP Method for Supplier Selection with Benefits, Opportunities, Costs and Risks Considerations

2018 ◽  
Vol 17 (03) ◽  
pp. 911-939 ◽  
Author(s):  
Eleonora Bottani ◽  
Piera Centobelli ◽  
Teresa Murino ◽  
Ehsan Shekarian
Keyword(s):  
Sensitivity Analysis ◽  
Supplier Selection ◽  
Quality Function Deployment ◽  
Selection Criteria ◽  
Selection Process ◽  
Analytic Network Process ◽  
Relative Importance ◽  
Purchasing Decisions ◽  
Network Process

This paper presents an original integrated procedure to evaluate and select suppliers for purchasing decisions. The procedure exploits the quality function deployment approach to define the suppliers’ characteristics, coupled with the analytic network process to capture the interrelations among the selection criteria and integrated with a benefits, opportunities, costs and risks (BOCR) analysis. As such, the proposed approach is more structured than the existing methods for supplier selection; in particular, it allows simultaneously to take into account the relevant criteria for supplier selection, to capture the situation in which the decision criteria are somehow dependent on one another and to evaluate the positive and negative aspects of the selection process. By using the proposed approach, companies can derive useful information to guide their partner selection process. An extensive case study is reported to show the application of the model to a selection process of a real Italian company. The application shows that the model is effective in identifying the most suitable supplier; moreover, a detailed sensitivity analysis highlights that the results of the ranking are very robust against possible changes in the relative importance of the BOCR perspectives.

Application of Six Sigma to minimize the defects in glass manufacturing industry

2019 ◽  
Vol 16 (4) ◽  
pp. 594-624 ◽  
Author(s):  
Narottam Yadav ◽  
Kaliyan Mathiyazhagan ◽  
Krishna Kumar
Keyword(s):  
Six Sigma ◽  
Manufacturing Industry ◽  
Poor Performance ◽  
Service Industries ◽  
Practical Implementation ◽  
Content Type ◽  
Six Sigma Methodology ◽  
Tools And Techniques ◽  
And Control

PurposeThe purpose of this paper is to improve the yield of a particular model of a car windshield, as the organization faces losses due to poor performance and rejection.Design/methodology/approachThe Six Sigma DMAIC (define, measure, analyze, improve and control) methodology is used to reduce variation and defects in the process. It is a methodology based on data-driven and fact-based analysis to find out the root cause of the problem with the help of statistical analysis. A worst performing model is selected as a case study through the scoping tree. The preprocess, printing, bending and layup process defects are reduced by analyzing the potential causes and hypothesis testing.FindingsThis paper describes Six Sigma methodology in a glass manufacturing industry in India for automotive applications. The overall yield of a car windshield achieved 93.57 percent against the historical yield of 88.4 percent, resulting in saving 50 lacs per annum. Due to no rework or repairing in the glass, low first-time yield causes major losses. Process improvement through focused cross-functional team reduces variation in the process. Six Sigma improves profitability and reduces defects in the automotive glass manufacturing process.Research limitations/implicationsThis case study is applied in automotive glass manufacturing industries. For service and healthcare industries, a similar type of study can be performed. Further research on the common type of processor industry would be valuable.Practical implicationsThe case study can be used as a problem-solving methodology in manufacturing and service industries. The tools and techniques can be used in other manufacturing processes also. This paper is useful for industries, researchers and academics for understanding Six Sigma methodology and its practical implementation.Originality/valueThis case study is an attempt to solve automobile glass manufacturing problems through DMAIC approach. The paper is a real case study showing benefits of Six Sigma implementation in the manufacturing industry and saving an annual cost of 50 lacs due to rejections in the process.

scholarly journals AN INTEGRATED AHP-QFD APPROACH FOR EVALUATING COMPETING TECHNOLOGICAL PROCESSES

2015 ◽  
Vol 7 (3) ◽  
Author(s):  
Anirban Ganguly ◽  
Donald N Merino
Keyword(s):  
Quality Function Deployment ◽  
Selection Process ◽  
Integrated Approach ◽  
High Tech ◽  
Analytic Hierarchy ◽  
Policy Makers ◽  
Effective Selection ◽  
Manufacturing Technologies ◽  
Hierarchy Process

<p>A major challenge for decision makers in business organization is making appropriate choices among competing high-tech projects. The objective of this paper is to explore a multi-criteria analytical model that can be used for the selection and management of competing manufacturing technologies. The model uses an integrated approach combining Analytic Hierarchy Process (AHP) and Quality Function Deployment (QFD) as the basis for selecting a preferred alternative from a set of competing projects. Integration of the two techniques helps to provide a more effective selection process. Two competing chemical processes to produce drugs are used as a case study to demonstrate and validate the AHP – QFD model. The policy makers of pharmaceutical and chemical organizations can use this model as a part of their strategic planning and decision-making process.</p>

Implementing product design assessment with sandwich-like architecture: A case study in an automotive company

2020 ◽  
Vol 234 (18) ◽  
pp. 3614-3628
Author(s):  
Jinheng Gu ◽  
Changqing Liu ◽  
Shenghui Fu ◽  
Changle Pang
Keyword(s):  
Product Design ◽  
Quality Function Deployment ◽  
Integrated Approach ◽  
Design Stage ◽  
Design Factor ◽  
Design Assessment ◽  
Product Value ◽  
Network Process ◽  
Design Requirements

Product design-oriented models are a decision-making problem with multiple criteria based on the assessment of product design factor that represent engineer judgments and customer desires, and are used to adapt to increasing competition and high levels of customization. Thus, in this work, a “sandwich-like” architecture and a hybrid integrated approach including triangle fuzzy numbers, quality function deployment, and the LeaderRank algorithm are respectively proposed to express and assess product designs more effectively. Additionally, the proposed approach is a measure study which can determine the design requirements, the relationships between product design and customer requirements, and the correlations among product values. The fuzzy analytical network process and LeaderRank algorithm are employed to evaluate the product design requirements and interaction between the product value and the uncertainty that exists in expert judgment. Besides, a case study is selected as an example to illustrate the “sandwich-like” architecture in the product design stage, and a priority analysis is performed to assess the importance degrees of product designs for customer needs, thereby providing optimization for product design and an effective approach to improve the product value.

Evaluation and Selection of Green Suppliers Using Fuzzy VIKOR and Fuzzy TOPSIS

2019 ◽  
pp. 202-218 ◽  
Author(s):  
Sasikumar P. ◽  
Vimal K. E. K.
Keyword(s):  
Manufacturing Industry ◽  
Evaluation Criteria ◽  
Fuzzy Topsis ◽  
Fuzzy Vikor ◽  
Evaluation Approach ◽  
Fuzzy Environment ◽  
Environmental Image ◽  
Green Suppliers ◽  
Case Organization

Green supplier selection is considered to be one of the prominent strategic ways to determine the success of whole supply chain in recent times. In this chapter, fuzzy VIKOR and fuzzy TOPSIS methods are used to select the suitable green supplier under fuzzy environment. The green supplier evaluation approach is demonstrated with a real-world case study involving textile manufacturing industry in southern part of India concerning 11 foremost evaluation criteria that the company has determined to select the most suitable supplier. The compromising solution for the four decision makers in Fuzzy VIKOR corroborate with the compromising solution of Fuzzy TOPSIS method. The application of proposed method in the case organization helps to identify the appropriate supplier systematically. The result offer useful insight for the managers to select the suitable supplier to improve the environmental image of the organization.

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