Open Access Open Access  Restricted Access Subscription or Fee Access

A case study on selection of best manufacturing materials using decision making tools

Peeraj Mazumder, Sk Tanbir Islam, Sandip Sengupta, Prithwiraj Das, Soumitra Halder

Abstract


In order to address the challenges faced by decision-makers in the manufacturing industry MCDM processes plays a vital role in industrial applications for selecting the most suited material. These challenges include selecting the appropriate alternative for various factors such as materials, robots, and oxy-rich materials, which may have conflicting criteria. MCDM involves considering multiple criteria to choose from a set of alternatives, which can be finite or infinite. One well-known MCDM method is ELECTRE (ELimination Et Choix Traduisant la REalite), which translates to "Elimination and Choice Expressing the Reality." ELECTRE II, a practical MCDM method, is recognized for its effective ranking technique and has found successful applications in various real-world scenarios. In the specific context of selecting the best oxy-rich material, ELECTRE II is utilized due to its widespread adoption across diverse manufacturing fields.


Keywords


decision making, MCDM, ELECTRE, cryogenic, oxy-rich, manufacturing, ELECTRE II

Full Text:

PDF

References


Rao, R.V. Decision making in the manufacturing environment using graph theory and fuzzy multiple attribute decision making methods, 2007, Springer, London.

Liu, P. & Zhang, X. Research on the supplier selection of a supply chain based on entropy weight and improved ELECTRE-III method, International Journal of Production Research, 2010, 49, 637-646.

Cho, KT. Multicriteria decision methods: an attempt to evaluate and unify, Mathematical and Computer Modelling, 2003, 37, 1099–119.

Rao, R.V. A decision-making methodology for material selection using an improved compromise ranking method, Material Design, 2008, 29, 1949–54.

Pandey, P.C. and Kengpol, A. Selection of an automated inspection system using multi-attribute decision analysis, International Journal of Production Economics, 1995, 39, 289–298.

Chatterjee, P., Athawale, V., Chakraborty, S. Selection of industrial robots using compromise ranking and outranking methods, Robotics and Computer-Integrated Manufacturing, 2010, 26, 483-489.

Valiris,G., Chytas,P., Glykas.,M. Making decisions using the balanced scorecard and the simple multi-attribute rating technique, Performance Measurement and Metrics, 2005, 6, 159-171.

Korhonen, P., Moskowitz, H. and Wallenius, J. “Multiple criteria decision support: a review”, European Journal of Operational Research, 1992, 63, 361-75.

Zionts, S. MCDM “If not a Roman numeral, then what?” Interface, 1979, 9, 94-101.

Cho, KT. Multicriteria decision methods: an attempt to evaluate and unify, Mathematical and Computer Modelling, 2003, 37, 1099–119.

Pandey, P.C. and Kengpol, A. Selection of an automated inspection system using multi-attribute decision analysis, International Journal of Production Economics, 1995, 39, 289–298.




DOI: https://doi.org/10.37628/ijmmp.v9i1.1568

Refbacks

  • There are currently no refbacks.