International Journal of Engineering and Management Research (IJEMR)
  • Year: 2017
  • Volume: 7
  • Issue: 3

CNC Machine Tool Evaluation under Mixed Information by FMF Approach

  • Author:
  • Shashank Tiwari1, Raghavendra Singh Kashyap2
  • Total Page Count: 6
  • Page Number: 772 to 777

1M-Tech Scholar, Department of Mechanical Engineering, Dr. C.V. Raman University, Kota, Bilaspur, (C.G.), India

2Assistant Professor, Department of Mechanical Engineering, Dr. C.V. Raman University, Kota, Bilaspur, (C.G.), India

Online published on 31 October, 2017.

Abstract

Lathe CNC machines are the workhorses of the precision machining industry. CNC machines stands for Computer Numeric Control. CNC is an industry standard programming language designed specifically for controlling high-precision mills, lathes, cutting and grinding machines. It's the progeny of the marriage between Computer Aided Design (CAD) and Computer Aided Machining (CAM). Recently, CNC machines evaluation-selection for advanced manufacturing system problem has rosen. In the present reporting, Lathe CNC machines (Computer Numerical Control) machine tool has been evaluated on by exploring the concept of fuzzy set with full multification form approach.

Keywords

Multi-Criteria Decision Making (MCDM), CNC lathe machine tool, Benchmarking