Operational Supply Chain Planning Method for Integrating Spare Parts Supply Chains and Intelligent Maintenance Systems

Israel, Eduardo; Frazzon, Enzo Morosini; Cordes, Ann-Kristin; Hellingrath, Bernd; Lopes, André Albrecht

doi:10.1007/978-3-319-23512-7_44

Cited by 4 publications

(2 citation statements)

References 23 publications

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“…Similarly, in [17], the authors did not provide a mechanism to trace the spare part as its ownership is revoked from the OEM to the suppliers and end-users. The authors have proposed the integration of an intelligent maintenance system (IMS) to the supply chain to forecast the failure of components to improve the operational planning of spare parts supply chain.…”

Section: A Related Work and Contributionsmentioning

confidence: 99%

Blockchain-Based Solution for the Traceability of Spare Parts in Manufacturing

et al. 2020

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Spare parts are essential assets to maintain productivity and operations. A spare part is used for the repair or replacement of failed units. Tracing and tracking of spare parts ownership can help to ensure reliable outcomes in terms of manufacturing operations and service delivery. However, today's spare part inventory systems fall short of providing reliable tracing and tracking of spare parts ownership which poses serious threats to their authenticity. Also, current approaches and systems leveraged for spare part inventory management are vulnerable to the single point of failures. In this paper, we propose a blockchain-based smart contract to trace and track the spare parts ownership details from the original equipment manufacturer to the supplier and end-users. We exploit blockchain features to build a secure and trusted spare part inventory system that is tamper-proof, traceable, trackable, accessible immutable, resilient, and reliable. The proposed system integrates decentralized storage of interplanetary file systems (IPFS) to store and share spare parts data. We present algorithms along with their full implementation details. We perform testing and validation of the smart contract. Furthermore, we provide security and cost analysis, and show how the proposed system ensures reliable tracing and tracking of spare parts ownership. We make the smart contract source code publicly available on Github.

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Section: A Related Work and Contributionsmentioning

confidence: 99%

Blockchain-Based Solution for the Traceability of Spare Parts in Manufacturing

et al. 2020

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“…(2) Maintenance, including tests, measurements, adjustments, and parts replacement, performed specifically to prevent faults from occurring [12]. Israel et al [13] proposed a method, which aims to integrate information provided by Intelligent Maintenance Systems into the operational planning of a spare parts supply chain.…”

Section: Introductionmentioning

confidence: 99%

A New Mathematical Model for a Multi-product Supply Chain Network with a Preventive Maintenance Policy

Fatehi-Kivi

Mehdizadeh

Tavakkoli–Moghaddam

2019

IJE

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The supply chain network design (SCND) implicates decision-making at a strategic level and makes it possible to create an effective and helpful context for managing. The aim of the network is to minimize the total cost so that customer's demands should be met. Preventive maintenance is predetermined work performed to a schedule with the aim of preventing the wear and tear or sudden failure of equipment components. Unfortunately, there is very little work on the issues of preventive maintenance in the SCND. At first, a mixed integer nonlinear programming model (MINLP) is formulated that maximaize the profit of the network. Since the SCND is an NP-hard problem, we use three meta-heuristic algorithms, namely tabu search, harmony search and genetic algorithm to solve the given problem. Taguchi method is also used to adjust the significant parameters of the forgoing meta-heuristics and select the optimal levels of the influential factors for the better algorithm performance. The results of different numerical experiments endorse the effectiveness of the HS algorithm.

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