CAM Software Selection in Tamil Nadu Manufacturing SMEs using ELECTRE III and Decision Resonance Methods

CAM Software Selection in Tamil Nadu Manufacturing SMEs using ELECTRE III and Decision Resonance Methods

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This is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.

Volume: 12 | Issue: 1 | Year 2026 | Subscription

International Journal of Computer Aided Manufacturing

Received Date: 02/07/2026

Acceptance Date: 02/27/2026

Published On: 2026-03-13

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By: S. Mahalakshmi, S. Ramabalan, V. Sathiya, and N.Godwin Raja Ebenezer.

1. Department of Information Technology, Selvam College of Technology, Namakkal, Tamil Nadu
2. Professor, Selvam College of Technology,
Namakkal, Tamil Nadu
3. Department of Computer Science and Engineering, Selvam College of Technology,Namakkal, Tamil Nadu
4. Department of Mechanical Engg., MAM College of Engineering, Trichy, Tamil Nadu

Abstract

This paper contributes a conceptual framework to guide the strategic alignment of software selection criteria using a new method – Decision Resonance Method and an established method – ELECTRE III within the existing decision theory frameworks. The analysis contributes empirically tested software selection criteria that will improve the categorization of decision implications This study provides input for decision theory extensions related to information, the value of problem structuring, and its application to emerging research chasing implicit decisions. Managerial implications include enhancing awareness of implicit assumptions when replicating a previous strategic decision-context (culture), and when considering how a decision environment or set of alternatives has subtly drifted rendering uncertainty or missed dynamic opportunities. Industry will benefit from the associated modeling correctness by appreciating the role of less visible weighting error in overlooked alternatives. Applied to a 10-alternative, 10-criteria matrix of real-world constraints within Coimbatore’s manufacturing ecosystem, both approaches converge in the elimination of alternatives that are not suited, however, they differ in the top ranking recommendations. Mastercam is identified as the most appropriate decision for immediate implementation while Siemens NX is the most suitable long-term investment .The comparative analysis exposes the philosophical distinctions between the two approaches and provides insights that can be operationalized for the adoption of technology by SMEs.

Citation:

How to cite this article: S. Mahalakshmi, S. Ramabalan, V. Sathiya, and N.Godwin Raja Ebenezer CAM Software Selection in Tamil Nadu Manufacturing SMEs using ELECTRE III and Decision Resonance Methods. International Journal of Computer Aided Manufacturing. 2026; 12(1): -p.

How to cite this URL: S. Mahalakshmi, S. Ramabalan, V. Sathiya, and N.Godwin Raja Ebenezer, CAM Software Selection in Tamil Nadu Manufacturing SMEs using ELECTRE III and Decision Resonance Methods. International Journal of Computer Aided Manufacturing. 2026; 12(1): -p. Available from:https://journalspub.com/publication/ijcam/article=26102

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CAM Software Selection in Tamil Nadu Manufacturing

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