Additive Manufacturing of Slow-Moving Automotive Spare Parts: A Supply Chain Cost Assessment

This study develops a cost model for the additive manufacturing (AM)-produced spare parts supply chain in the automotive industry. Moreover, we evaluate the economic feasibility of AM for slow-moving automotive spare parts by comparing the costs of the traditional manufacturing (TM) spare parts supply chain (SPSC) with centralized, outsourced AM SPSC. Data from a multiple case study of an OEM in the automotive industry regarding SPSC is utilized. The supply chain costs of 14 individual spare parts were analyzed, and the total SPSC cost for the AM and TM, were compared. Three of the fourteen parts showed potential for cost-savings, if they were produced with AM instead of TM. In this context, AM polymer parts showed greater potential than metal to replace TM as the more economical option of manufacturing from a total supply chain cost perspective. This study shows that the AM competitiveness to TM, from a financial perspective, increases for spare parts with low demand, high minimum order quantity, and high TM production price. The SPSC cost model included: cost of production, transport, warehousing, and service costs. This study contributes to the emerging field of part identification for AM and the existing literature regarding cost modeling in SPSCs

Is It Time for the Maritime Industry to Embrace 3d Printed Spare Parts?

New technology comes with benefits for companies that choose to adopt. Additive manufacturing (AM) or 3d printing as it is commonly known has been already implemented in various sectors (industrial and consumer products, medical, automotive, aerospace, etc.). The shipping industry is characterized as conservative to changes. As AM is starting to consolidate in the industry, can offer lessons guiding changes. Application in industries with similar to shipping characteristics (industries with moving assets), reveals the potential of applying it in the shipping industry. The availability of spare parts is important for the vessel maintenance. Additive manufacturing could shorten the space parts supply chain in the maritime industry, since the part could be made near the place it is needed

A framework to assess the sustainability of additive manufacturing for spare parts

Additive manufacturing (AM) is a promising technology for the optimization of the spare parts supply chain. A complete evaluation of whether it is advantageous to switch to this technology for spare parts management should include a comprehensive assessment of its sustainability in addition to its techno-economic viability. General analyses of the economic, environmental, and social impacts of AM have been conducted, but assessments of the sustainability effects of AM in the spare parts field is limited to specific industries. Thus, based on the literature, we designed a framework that can support a life cycle evaluation of the emerging application of AM technology. It represents a methodological approach that covers all the stages of the spare parts life cycle and the three dimensions of sustainability. It has been designed to support both researchers and practitioners who are considering AM for the manufacturing of spare parts. Copyright (C) 2022 The Authors

Continuous maintenance and the future – Foundations and technological challenges

High value and long life products require continuous maintenance throughout their life cycle to achieve required performance with optimum through-life cost. This paper presents foundations and technologies required to offer the maintenance service. Component and system level degradation science, assessment and modelling along with life cycle ‘big data’ analytics are the two most important knowledge and skill base required for the continuous maintenance. Advanced computing and visualisation technologies will improve efficiency of the maintenance and reduce through-life cost of the product. Future of continuous maintenance within the Industry 4.0 context also identifies the role of IoT, standards and cyber security

The impact of Additive Manufacturing on Supply Chain design: a simulation study

Additive Manufacturing is a production technology, which completely differs from the traditional subtractive approach. Because its different nature, its application could cause strong changes in supply chains and it could affect the relationship between the supply chain players. This paper proposes a quantitative evaluation of the Additive Manufacturing effects on the supply chain performance, considering different system configurations. A simulation model has been implemented in order to reproduce the behavior of the players and compare different scenarios. Both additive and traditional technologies have been modelled in order to compare their efficiency. Moreover, different supply chain configurations have been tested to assess the additive production feasibility combined with different supply chain structures. Results confirm that Additive Manufacturing provides good improvements in supply chain performances offering significant benefits in the decentralized solution

Additive Manufacturing in After-Sales Service Supply Chains

Additive Manufacturing (AM, also known as 3D printing) is developing into a powerful complement to more conventional manufacturing (CM) methods. In comparison to CM methods such as milling, drilling, casting and forging, AM technologies build complete parts by adding materials layer upon layer without using any dedicated tooling. The resulting ability to produce complex structures without lengthy and expensive setup procedures could turn out particularly valuable for the low-volume spare parts business. Short AM lead times are likely to significantly improve the balance between spare parts inventory investment and system downtime. Generic AM processes could relax the dependence on suppliers and therefore decrease risks and costs associated with supply disruptions. Ultimately, AM could even enable the implementation of a decentralized production concept that holds the promise of increased supply chain responsiveness at low costs. However, it is necessary to deconstruct these concepts and to separate the hype from reality to leverage the potentials of AM technology in after-sales service supply chains. In this dissertation, we aim to contribute to this undertaking by offering a scientific perspective on how and to what extent after-sales service supply chains can benefit from AM technology. To that end, we develop and apply techniques from the field of Operations Research to learn from the various case studies that were conducted at different organizations throughout this research