Analytical Study

Open Access

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Peer-reviewed

Data-Driven Spares Analysis and Cost Minimization with Excel Power Query: A Study of Spare Parts Inventory Management at Indo National Limited (Nippo)

Mohammad Salman Khan A , Dr. G. Rajini

DIP: 18.02.106/20261102

DOI: 10.25215/2455/1102106

Received: May 12, 2026; Revision Received: May 14, 2026; Accepted: May 16, 2026

Abstract

Effective spare parts inventory management is critical for maintaining working capital and ensuring a smooth manufacturing process. This study examines the spare parts portfolio of Indo National Limited (Nippo), India’s second-largest dry cell battery producer. The main data transformation tool is Microsoft Excel’s Power Query. The dataset contains 6,699 stock-keeping units (SKUs) that span six years of purchase receipts, consumption records, and inventory ageing profiles. It underwent a multidimensional examination that comprised ABC classification, inventory ageing evaluation, stock turnover categorisation, procurement behaviour review, and vendor lead time comparison. The investigation revealed that 49.7% of the total on-hand stock value, ₹1.79 crores, had been held for more than 365 days. In addition, 109 things were purchased despite excess inventory, and 500 non-moving products are taking up ₹59.69 lakhs in idle capital. The lead time performance of 172 active suppliers reveals a 110-day disparity between the best and poorest performers, making it difficult to estimate safety stock levels. The paper proposes a three-horizon action plan for lowering inventory carrying costs, improving procurement control, and increasing supply chain responsiveness. The findings reinforce Power Query’s position as an easy-to-use and repeatable analytics solution that is audit-ready, making it ideal for mid-market Indian manufacturers.

The author(s) appreciates all those who participated in the study and helped to facilitate the research process.

The author(s) declared no conflict of interest.

This is an Open Access Research distributed under the terms of the Creative Commons Attribution License (www.creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any Medium, provided the original work is properly cited.

Responding Author Information

Dr. G. Rajini @ rajini.sms@vistas.ac.in

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Data-Driven Spares Analysis and Cost Minimization with Excel Power Query: A Study of Spare Parts Inventory Management at Indo National Limited (Nippo)

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Article Overview

ISSN 2455-670X

DIP: 18.02.106/20261102

DOI: 10.25215/2455/1102106

Published in

Volume 11, Issue 2, April-June, 2026: Special Issue

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