Prioritizing Key Performance Indicators for the Mining Industry in Kerala: An AHP Approach

The main aim of this study is to examine the interconnections among performance indicators in Small and Medium Scale Enterprises (SMEs) within the mining industries in Kerala, India. A hierarchical model for performance metrics is introduced, starting with the identification of performance indicators through a systematic process. Following this, a comprehensive questionnaire-based survey is conducted within the mining and mineral industries in Kerala to identify the significant indicators specific to the sector. In this context, the Analytic Hierarchy Process (AHP) serves as a valuable multi-criteria decision-making approach for the evaluation of performance indicators. The primary objective of this article is to scrutinize performance indicators that assess the performance of SMEs and provide a comparative rating against their peers. Distinguishing itself from conventional approaches, this study directly engages manufacturers to gauge the relevance of four main factors and twelve sub-factors (performance indicators) through the application of the Analytic Hierarchy Process.

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Publication Details

Journal
Management and Production Engineering Review
Published
2024-09-30
DOI
https://doi.org/10.24425/mper.2024.151490
Primary Topic
Efficiency Analysis Using DEA
Type
article
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article

Prioritizing Key Performance Indicators for the Mining Industry in Kerala: An AHP Approach

M. Dev Anand, N. Ramasamy, A S Ayswer, N. Santhi
Management and Production Engineering Review
Efficiency Analysis Using DEA
article

Prioritizing Key Performance Indicators for the Mining Industry in Kerala: An AHP Approach

M. Dev Anand, N. Ramasamy, A S Ayswer, N. Santhi
article en

Abstract

The main aim of this study is to examine the interconnections among performance indicators in Small and Medium Scale Enterprises (SMEs) within the mining industries in Kerala, India. A hierarchical model for performance metrics is introduced, starting with the identification of performance indicators through a systematic process. Following this, a comprehensive questionnaire-based survey is conducted within the mining and mineral industries in Kerala to identify the significant indicators specific to the sector. In this context, the Analytic Hierarchy Process (AHP) serves as a valuable multi-criteria decision-making approach for the evaluation of performance indicators. The primary objective of this article is to scrutinize performance indicators that assess the performance of SMEs and provide a comparative rating against their peers. Distinguishing itself from conventional approaches, this study directly engages manufacturers to gauge the relevance of four main factors and twelve sub-factors (performance indicators) through the application of the Analytic Hierarchy Process.

Management and Production Engineering Review
Industry, innovation and infrastructure
Openalex Percentile: Top 73%
Efficiency Analysis Using DEA
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