Real-time Multi-agent-based Decision-making Approach for Dynamic Machine Tool Selection Problem

2020 ◽  
Author(s):  
Qiong Yan ◽  
Haijun Zhang
Keyword(s):  
Decision Making ◽  
Machine Tool ◽  
Real Time ◽  
Selection Problem ◽  
Tool Selection ◽  
Agent Based ◽  
Machine Tool Selection ◽  
Multi Agent

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.

Machine Tool Selection Based on AHP and ACO

2010 ◽  
Vol 44-47 ◽  
pp. 874-878
Author(s):  
Tie Gang Li ◽  
Chu Lin Fu ◽  
Peng Guan ◽  
Tian Biao Yu ◽  
Wan Shan Wang
Keyword(s):  
Decision Making ◽  
Machine Tool ◽  
Manufacturing Processes ◽  
Tool Selection ◽  
Process Scheme ◽  
Analytic Hierarchy ◽  
Machine Tool Selection ◽  
Process Plans ◽  
Hierarchy Process ◽  
Process Decision

Aiming at uncertainty of process plans in the process decision making, the paper introduced a method based on ant colony optimization (ACO) to find out the set of optimal solutions for multi-objective machine tool selection. The Analytic Hierarchy Process (AHP) was applied to simplify process decision making plans, and the structural diagram of AHP was made up according to the different demands of manufacturing engineer. By means of the examples the different elements to different manufacturing processes are comprehensive evaluated, and the most splendid process scheme is evaluated, meanwhile the feasibility of the proposed method applying process decision making is verified.

Sign in / Sign up

Export Citation Format

Share Document