Spare parts management in industry 4.0 era: a literature review

Author:

Kulshrestha NishantORCID,Agrawal SaurabhORCID,Shree Deep

Abstract

PurposeSpare Parts Management (SPM) and Industry 4.0 has proven their importance. However, employment of Industry 4.0 solutions for SPM is at emerging stage. To address the issue, this article is aimed toward a systematic literature review on SPM in Industry 4.0 era and identification of research gaps in the field with prospects.Design/methodology/approachResearch articles were reviewed and analyzed through a content-based analysis using four step process model. The proposed framework consists of five categories such as Inventory Management, Types of Spares, Circularity based on 6Rs, Performance Indicators and Strategic and Operational. Based on these categories, a total of 118 research articles published between 1998 and 2022 were reviewed.FindingsThe technological solutions of Industry 4.0 concepts have provided numerous opportunities for SPM. Industry 4.0 hi-tech solutions can enhance agility, operational efficiency, quality of product and service, customer satisfaction, sustainability and profitability.Research limitations/implicationsThe review of articles provides an integrated framework which recognizes implementation issues and challenges in the field. The proposed framework will support academia and practitioners toward implementation of technological solutions of Industry 4.0 in SPM. Implementation of Industry 4.0 in SPM may help in improving the triple bottom line aspect of sustainability which can make significant contribution to academia, practitioners and society.Originality/valueThe examination uncovered a scarcity of research in the intersection of SPM and Industry 4.0 concepts, suggesting a significant opportunity for additional investigative efforts.

Publisher

Emerald

Reference118 articles.

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4. Forecasting vehicle's spare parts price and demand;Journal of Quality in Maintenance Engineering,2021

5. Demand forecasting for irregular demands in business aircraft spare parts supply chains by using artificial intelligence (AI);IFAC-Papers OnLine,2017

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