scholarly journals A Multi-Criteria Decision Making Approach for Machine Tool Selection Problem in a Fuzzy Environment

2011 ◽  
Vol 4 (4) ◽  
pp. 431-445 ◽  
Author(s):  
Arzum Özgen ◽  
Gülfem Tuzkaya ◽  
Umut R. Tuzkaya ◽  
Dogan Özgen
Keyword(s):  
Decision Making ◽  
Machine Tool ◽  
Selection Problem ◽  
Multi Criteria Decision Making ◽  
Tool Selection ◽  
Machine Tool Selection ◽  
Fuzzy Environment

Decision making in machine tool selection: An integrated approach with SWARA and COPRAS-G methods

2013 ◽  
Vol 24 (1) ◽  
Author(s):  
Edmundas Kazimieras Zavadskas ◽  
Mohammad Hasan Aghdaie ◽  
Sarfaraz Hashemkhani Zolfani
Keyword(s):  
Decision Making ◽  
Machine Tool ◽  
Integrated Approach ◽  
Tool Selection ◽  
Machine Tool Selection

A developed case-based reasoning system for machine tool selection

2017 ◽  
Vol 24 (5) ◽  
pp. 1364-1385 ◽  
Author(s):  
Shankar Chakraborty ◽  
Soumava Boral
Keyword(s):  
Machine Tool ◽  
Expert Knowledge ◽  
Fine Tuning ◽  
Selection Problem ◽  
Case Based Reasoning ◽  
Tool Selection ◽  
Diverse Range ◽  
Content Type ◽  
Machine Tool Selection ◽  
Case Based

Purpose Subtractive manufacturing process is the controlled removal of unwanted material from the parent workpiece for having the desired shape and size of the product. Several types of available machine tools are utilized to carry out this manufacturing operation. Selection of the most appropriate machine tool is thus one of the most crucial factors in deciding the success of a manufacturing organization. Ill-suited machine tool may often lead to reduced productivity, flexibility, precision and poor responsiveness. Choosing the best suited machine tool for a specific machining operation becomes more complex, as the process engineers have to consider a diverse range of available alternatives based on a set of conflicting criteria. The paper aims to discuss these issues. Design/methodology/approach Case-based reasoning (CBR), an amalgamated domain of artificial intelligence and human cognitive process, has already been proven to be an effective tool for ill-defined and unstructured problems. It imitates human reasoning process, using specific knowledge accumulated from the previously encountered situations to solve new problems. This paper elucidates development and application of a CBR system for machine tool selection while fulfilling varying user defined requirements. Here, based on some specified process characteristic values, past similar cases are retrieved and reused to solve a current machine tool selection problem. Findings A software prototype is also developed in Visual BASIC 6.0 and three real time examples are illustrated to validate the application potentiality of CBR system for the said purpose. Originality/value The developed CBR system for machine tool selection retrieves a set of similar cases and selects the best matched case nearest to the given query set. It can successfully provide a reasonable solution to a given machine tool selection problem where there is a paucity of expert knowledge. It can also guide the process engineers in setting various parametric combinations for achieving maximum machining performance from the selected machine tool, although fine-tuning of those settings may often be required.

Selecting a CNC Machine Tool Using the Intuitionistic Fuzzy TOPSIS Approach for FMC

2013 ◽  
Vol 315 ◽  
pp. 196-205 ◽  
Author(s):  
Nguyen Huu Tho ◽  
Siti Zawiah Md Dawal ◽  
Nukman Yusoff ◽  
Farzad Tahriri ◽  
Hideki Aoyama
Keyword(s):  
Decision Making ◽  
Machine Tool ◽  
Fuzzy Topsis ◽  
Cnc Machine Tool ◽  
Cnc Machine ◽  
Tool Selection ◽  
Machine Tool Selection ◽  
Intuitionistic Fuzzy ◽  
Topsis Approach ◽  
Intuitionistic Fuzzy Topsis

Decision making for machine tool selection is intractable work of managers due to the factors involving the vague and imprecise information. The degree of hesitation is considered in the experts judgment. In this paper, an integration of the intuitionistic fuzzy (IF) Entropy and TOPSIS method are utilized to solve the vague information for decision-making process in machine tool selection. In particular, the weights of criteria are calculated by the IF Entropy and the TOPSIS is employed to determine the priority of alternative. The results of the numerical example show this integration is practical and easy to use for engineers and managers in the companies.

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