Development of Capability for Integrated Smart Production-Spare Part Warehouse System for SMEs in Fast-Moving Consumer Goods sector

To maximize productivity of SMEs in Fast-Moving-Consumer-Goods sector (SMEs-FMCG), reducing machinery’s downtime due to spare-parts unavailability is crucial. Data-integration is essential for smart-production capability-development, by enabling real-time optimization to increase productivity. Since data-integration solutions are costly while SMEs-FMCG have slim-profit margin, SMEs-FMCG have not adopted Data-integration in spare-parts warehousing. This study proposes an affordable approach for spare-parts inventory costs minimization while maximizing their availability for maintenance using real data. A Linear-Programming-Model was formulated/integrated with Warehouse-Management-Systems software to optimize number of spare-parts orders alongside order-quantity. This was applied to a baked-goods manufacturer, minimizing downtimes due to spare-parts unavailability and inventory cost.

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Publication Details

Journal
Procedia CIRP
Published
2025-01-01
DOI
https://doi.org/10.1016/j.procir.2025.08.029
Primary Topic
Advanced Manufacturing and Logistics Optimization
Type
article
Field-Weighted Citation Impact
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article

Development of Capability for Integrated Smart Production-Spare Part Warehouse System for SMEs in Fast-Moving Consumer Goods sector

Shiva Abdoli, Bhramar Puniani
Procedia CIRP
Advanced Manufacturing and Logistics Optimization
article

Development of Capability for Integrated Smart Production-Spare Part Warehouse System for SMEs in Fast-Moving Consumer Goods sector

Shiva Abdoli, Bhramar Puniani
article en

Abstract

To maximize productivity of SMEs in Fast-Moving-Consumer-Goods sector (SMEs-FMCG), reducing machinery’s downtime due to spare-parts unavailability is crucial. Data-integration is essential for smart-production capability-development, by enabling real-time optimization to increase productivity. Since data-integration solutions are costly while SMEs-FMCG have slim-profit margin, SMEs-FMCG have not adopted Data-integration in spare-parts warehousing. This study proposes an affordable approach for spare-parts inventory costs minimization while maximizing their availability for maintenance using real data. A Linear-Programming-Model was formulated/integrated with Warehouse-Management-Systems software to optimize number of spare-parts orders alongside order-quantity. This was applied to a baked-goods manufacturer, minimizing downtimes due to spare-parts unavailability and inventory cost.

Procedia CIRPVol. 136
UNSW Sydney (AU)
Industry, innovation and infrastructure
Openalex Percentile: Top 68%
Advanced Manufacturing and Logistics Optimization
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