scholarly journals Green supplier selection using hybrid grey relational analysis with fuzzy logic method

2018 ◽  
Vol 396 ◽  
pp. 012073
Author(s):  
V S Ashish Vishnu ◽  
Jalumedi Babu ◽  
Babu George
Keyword(s):  
Fuzzy Logic ◽  
Grey Relational Analysis ◽  
Supplier Selection ◽  
Green Supplier Selection ◽  
Relational Analysis ◽  
Fuzzy Logic Method ◽  
Grey Relational ◽  
Logic Method

Optimization of Surface Roughness and Recast Layer Thickness in the Wire-EDM Process of AISI D2 Tool Steel Using Taguchi-Grey-Fuzzy

2013 ◽  
Vol 393 ◽  
pp. 21-28 ◽  
Author(s):  
Bobby Oedy Pramoedyo Soepangkat ◽  
Bambang Pramujati
Keyword(s):  
Surface Roughness ◽  
Fuzzy Logic ◽  
Grey Relational Analysis ◽  
Recast Layer ◽  
Relational Analysis ◽  
Recast Layer Thickness ◽  
Aisi D2 ◽  
Grey Relational ◽  
Wedm Process ◽  
D2 Steel

In this paper, the optimization of surface roughness and recast layer thickness of a WEDM process of AISI D2 steel was investigated by using Taguchi method, grey relational analysis and fuzzy logic. The experiments were conducted under varying flushing pressure, on time, open voltage, off time and servo voltage. An orthogonal array, signal-to-noise (S/N) ratio, grey relational analysis, grey-fuzzy reasoning grade and analysis of variance were employed to the study of the multiple performance characteristics. Experimental results have shown that machining performance characteristics in WEDM process of AISI D2 steel can be improved effectively through the combination of Taguchi method, grey relational analysis and fuzzy logic.

Multiple Performance Optimization in the Wire EDM Process of SKD61 Tool Steel Using Taguchi Grey Relational Analysis and Fuzzy Logic

2014 ◽  
Vol 493 ◽  
pp. 523-528 ◽  
Author(s):  
Nuraini Lusi ◽  
Bobby Oedy Pramoedyo Soepangkat ◽  
Bambang Pramujati ◽  
H.C. Kis Agustin
Keyword(s):  
Fuzzy Logic ◽  
Taguchi Method ◽  
Tool Steel ◽  
Grey Relational Analysis ◽  
Performance Characteristics ◽  
Relational Analysis ◽  
The Wire ◽  
Grey Relational ◽  
Wedm Process ◽  
Different Levels

This paper propose the optimization of the wire electrical discharge machining (WEDM) process of SKD61 tool steel (AISI H13). The use of the Taguchi method combined with grey relational analysis and fuzzy logic has been applied for optimization of multiple quality characteristics. The WEDM machining parameters (arc on time, on time, open voltage, off time and servo voltage) were optimized with considerations of multiple performance characteristics, i.e., MRR, SR and kerf. Arc on time was set at two different levels while the other four were set at three different levels. Based on Taguchi method, an L18mixed-orthogonal array was chosen for the experiments. Experimental results have shown that machining performance characteristics of WEDM process can be improved effectively through the combination of Taguchi method and grey-fuzzy logic.

scholarly journals Evaluation of Supplier Selection in Manufacturing Industries using Grey Relational Analysis- A Case Study

2014 ◽  
pp. 104-109
Author(s):  
Veera Bahadur Aravind Reddy K ◽  
Saras Chandra T Reddy ◽  
G. Rajyalakshmi
Keyword(s):  
Grey Relational Analysis ◽  
Supplier Selection ◽  
Selection Process ◽  
Evaluation Model ◽  
Evaluation Criteria ◽  
Objective Evaluation ◽  
Supply Contract ◽  
Relational Analysis ◽  
Order Quantities ◽  
Grey Relational

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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