An integrated green supplier selection approach with analytic network process and improved Grey relational analysis

2015 ◽  
Vol 159 ◽  
pp. 178-191 ◽  
Author(s):  
Seyed Hamid Hashemi ◽  
Amir Karimi ◽  
Madjid Tavana
2015 ◽  
Vol 5 (1) ◽  
pp. 117-126 ◽  
Author(s):  
Chuanmin Mi ◽  
Weiguo Xia

Purpose – No matter in product design stage or product quality improvement stage, the product technical requirements (PTRs) impacting on product performance are mainly identified and improved to optimize customer needs (CNs) as greatly as possible. The purpose of this paper is to use a new approach to accurately and properly prioritize PTRs in Quality Function Deployment (QFD). Design/methodology/approach – Considering the relationship between CNs and PTRs in QFD hard to quantitatively measure and lack of adequate information, the grey relational analysis (GRA) is applied. Besides, owing to the inherent inner dependencies of CNs as well as QFD, the analytic network process (ANP) which is an effective tool to take into account the inner dependencies with network is utilized. Finally, an integrated framework based on GRA method and ANP approach is proposed to determine the importance degrees of PTRs in designing a product. Findings – The calculation results of the application show that the proposed framework by integrating GRA and ANP is able to determine the importance degrees of PTRs in design a product well. Practical implications – In the application part the authors can see the proposed framework can be applied to PVC window systems. Owing to that traditional QFD method has been widely used in many fields such as manufacturing industry and service industry, actually the proposed framework has great potential application in the real word. Originality/value – This paper succeeds in proposing a new framework by integrating GRA and ANP to determine the importance degrees of PTRs in QFD.


Author(s):  
Mohamed Lahby ◽  
Leghris Cherkaoui ◽  
Abdellah Adib

In this work, the authors have proposed a new technique for network selection decision. This technique combines two multi attribute decision making (MADM) methods. The analytic network process (ANP) method to find the differentiate weights of available networks by considering each criterion and the grey relational analysis (GRA) method to rank the alternatives. To show the effectiveness of our technique we have presented the simulation results of four traffic classes namely background, conversational, interactive and streaming.


Author(s):  
Veera Bahadur Aravind Reddy K ◽  
Saras Chandra T Reddy ◽  
G. Rajyalakshmi

Selection of supplier is one of the most critical activities performed by the organizations because of its strategic importance. Over the years a number of quantitative approaches have been applied to supplier selection problems. The selection process is commonly based on their previous performance records, so the ranking determines which supplier will get their supply contract. However a survey on current evaluation methods shows that they are all less objective and lack accurate data processing. These evaluation criteria often conflict, however and it is frequently impossible to find a supplier that excels in all areas. In addition some of the criteria are quantitative and some are qualitative. Thus a methodology is needed that can capture both subjective and objective evaluation measures. In this paper, we presented AHP and Grey Relational Analysis to establish a complete and accurate evaluation model for selecting suppliers based on multiple criteria and places the order quantities among them for a spinning industry


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