scholarly journals New Business Models for Sustainable Spare Parts Logistics: A Case Study

2020 ◽  
Vol 12 (8) ◽  
pp. 3071 ◽  
Author(s):  
José M. González-Varona ◽  
David Poza ◽  
Fernando Acebes ◽  
Félix Villafáñez ◽  
Javier Pajares ◽  
...  
Keyword(s):  
Additive Manufacturing ◽  
Environmental Sustainability ◽  
Business Models ◽  
New Technologies ◽  
Raw Materials ◽  
Spare Parts ◽  
Study Approach ◽  
Energy Emissions ◽  
Manufacturing Technologies

Additive manufacturing of spare parts significantly impacts industrial, social, and environmental aspects. However, a literature review shows that: (i) academic papers on the adoption of additive manufacturing have focused mainly on large companies; (ii) the methods required by SMEs to adopt new technologies differ from those employed by large companies; and (iii) recent studies suggest that a suitable way to help small- and medium-sized enterprises (SMEs) to adopt new additive manufacturing technologies from the academic world is by presenting case studies in which SMEs are involved. Given the increasing number of global SMEs (i.e., SMEs that manufacture locally and sell globally), we claim that these companies need to be assisted in adopting spare-parts additive manufacturing for the sake of resource and environmental sustainability. To bridge this gap, the purpose of this article is to present a case study approach that shows how a digital supply chain for spare parts has the potential to bring about changes in business models with significant benefits for both global SMEs (more effective logistic management), customers (response time), and the environment (reduced energy, emissions, raw materials, and waste).

scholarly journals Evaluating Business Models Enabling Organic Additive Manufacturing for Maintenance and Sustainment

2019 ◽  
pp. 380-417 ◽  
Author(s):  
Ashley Totin ◽  
Brett Connor
Keyword(s):  
Additive Manufacturing ◽  
Business Models ◽  
Organic Additive ◽  
Spare Parts ◽  
On Demand ◽  
The Government

This research examines the spare parts data business models allowing the government to produce parts on demand (i.e., only when required versus long-term warehousing) and at the point-of-need using additive manufacturing. The research includes a survey of acquisition and engineering professionals within government and industry, and an analysis using an aviation case study.

scholarly journals Business Models Amid Changes in Regulation and Environment: The Case of Finland–Russia

2020 ◽  
Vol 12 (8) ◽  
pp. 3393 ◽  
Author(s):  
Oskari Lähdeaho ◽  
Olli-Pekka Hilmola
Keyword(s):  
Business Models ◽  
New Technologies ◽  
Business Environment ◽  
Manufacturing Companies ◽  
Business Climate ◽  
Case Study Approach ◽  
Structured Interviews ◽  
Study Approach ◽  
The Impact

Changes in regulation are affecting the international business environment. In this study the impact of regulation changes and ways to benefit from those in Finland and Russia are examined. Logistics and manufacturing companies are studied using the case study approach including ten semi-structured interviews (Finland and Russia) and a survey (Southeast Finland), further supported by an additional survey for logistics sector companies (Southeast Finland). The changes in the business environment have created a fragmented market with a growing number of actors. Three business models (blockchain-based, platform-based and innovative subcontracting-based), capitalizing on the growing number of actors, were incepted in the interview phase and evaluated in the survey phase with companies. These models are integrable with the circular economy, a relevant practice according to the studied companies. Blockchain was perceived as a still immature technology. Further study revealed that the companies are not well prepared for environmental demands in logistics, and the overall volumes and business climate between the analyzed countries have not improved. Additionally, those companies do not actively pursue the possibilities of new technologies. The impact of regulatory changes in this region has not been examined closely with a case study approach. This study helps to explain the current trends in an established market.

scholarly journals Assessment of the Potential Economic Impact of the Use of AM Technologies in the Cost Levels of Manufacturing and Stocking of Spare Part Products

Materials ◽  
2018 ◽  
Vol 11 (8) ◽  
pp. 1429 ◽  
Author(s):  
Joaquim Minguella-Canela ◽  
Sergio Morales Planas ◽  
Joan Gomà Ayats ◽  
M. de los Santos López
Keyword(s):  
Additive Manufacturing ◽  
Economic Impact ◽  
General Equation ◽  
Spare Part ◽  
Spare Parts ◽  
Added Value ◽  
Topological Optimization ◽  
Manufacturing Technologies ◽  
The Cost

Additive manufacturing (AM) technologies are appropriate manufacturing technologies to produce low rotation products of high added value. Products in the spare parts business usually have discontinuous demand levels of reduced numbers of parts. Indeed, spare parts inventories handle myriad of products that require big immobilized investments while having an intrinsic risk of no-use (for example due to obsolescence or spoilage). Based on these issues, the present work analyses the fundamental cost factors in a real case study of a company dedicated to the supply of spare parts for fluid conduction systems. Real inventory data is assessed to determine the product taxonomy and its associated costs. A representative product of the stock is analyzed in detail on original manufacturing costs, in AM costs and then redesigned with topological optimization to reduce the AM cost levels (via design for additive manufacturing). A general equation for cost assessment is formulated. Given the specific data collected from the company, the parameters in this general equation are calculated. Finally, the general equation and the product cost reduction achieved are used to explore the potential economic impact of the use of AM technologies in the cost levels of manufacturing and stocking of spare part products.

scholarly journals A STRUCTURED APPROACH TO REDUCE DESIGN ITERATIONS IN ADDITIVE MANUFACTURING

2021 ◽  
Vol 1 ◽  
pp. 231-240
Author(s):  
Laura Wirths ◽  
Matthias Bleckmann ◽  
Kristin Paetzold
Keyword(s):  
Additive Manufacturing ◽  
Spare Parts ◽  
Design Guidelines ◽  
Final Part ◽  
Layer By Layer ◽  
Powder Bed ◽  
Batch Sizes ◽  
Manufacturing Technologies ◽  
Structured Approach ◽  
Design Freedom

AbstractAdditive Manufacturing technologies are based on a layer-by-layer build-up. This offers the possibility to design complex geometries or to integrate functionalities in the part. Nevertheless, limitations given by the manufacturing process apply to the geometric design freedom. These limitations are often unknown due to a lack of knowledge of the cause-effect relationships of the process. Currently, this leads to many iterations until the final part fulfils its functionality. Particularly for small batch sizes, producing the part at the first attempt is very important. In this study, a structured approach to reduce the design iterations is presented. Therefore, the cause-effect relationships are systematically established and analysed in detail. Based on this knowledge, design guidelines can be derived. These guidelines consider process limitations and help to reduce the iterations for the final part production. In order to illustrate the approach, the spare parts production via laser powder bed fusion is used as an example.

scholarly journals MODEL-BASED DESIGN OF AM COMPONENTS TO ENABLE DECENTRALIZED DIGITAL MANUFACTURING SYSTEMS

2021 ◽  
Vol 1 ◽  
pp. 2127-2136
Author(s):  
Olivia Borgue ◽  
John Stavridis ◽  
Tomas Vannucci ◽  
Panagiotis Stavropoulos ◽  
Harry Bikas ◽  
...  
Keyword(s):  
Additive Manufacturing ◽  
Manufacturing Systems ◽  
Production Systems ◽  
Data Generation ◽  
Production Networks ◽  
Model Based ◽  
Manufacturing Technologies ◽  
Am Processes ◽  
Final Consumer

AbstractAdditive manufacturing (AM) is a versatile technology that could add flexibility in manufacturing processes, whether implemented alone or along other technologies. This technology enables on-demand production and decentralized production networks, as production facilities can be located around the world to manufacture products closer to the final consumer (decentralized manufacturing). However, the wide adoption of additive manufacturing technologies is hindered by the lack of experience on its implementation, the lack of repeatability among different manufacturers and a lack of integrated production systems. The later, hinders the traceability and quality assurance of printed components and limits the understanding and data generation of the AM processes and parameters. In this article, a design strategy is proposed to integrate the different phases of the development process into a model-based design platform for decentralized manufacturing. This platform is aimed at facilitating data traceability and product repeatability among different AM machines. The strategy is illustrated with a case study where a car steering knuckle is manufactured in three different facilities in Sweden and Italy.

Digitalisierung von additiven Fertigungseinheiten/Digitalization of additive manufacturing units

2021 ◽  
Vol 111 (09) ◽  
pp. 633-637
Author(s):  
Maximilian Vogt ◽  
Julian Ulrich Weber ◽  
Vishnuu Jothi Prakash
Keyword(s):  
Additive Manufacturing ◽  
Feasible Solution ◽  
Spare Parts ◽  
Assistance System ◽  
Remote Locations ◽  
Assistance Systems ◽  
Mobile Manufacturing ◽  
Manufacturing Technologies

Additive Fertigungstechnologien erlauben die bedarfsgerechte Produktion von individuellen Ersatzteilen. Durch Einsatz mobiler Fertigungseinheiten lässt sich mithilfe dieser Verfahren die Resilienz von isolierten Produktionsstätten erhöhen. Um auch außerfachliches Personal zur Bedienung an entlegenen Einsatzorten zu befähigen, stellen digitale Assistenzsysteme eine mögliche Lösung dar. In diesem Beitrag wird ein solches Assistenzsystem zur Begleitung der manuellen Tätigkeiten beim roboterbasierten DED-Prozess in einer mobilen Fertigungseinheit diskutiert.   Additive manufacturing technologies enable the demand-driven production of individual spare parts. By using mobile manufacturing units, these processes can be used to increase the resilience of isolated production sites. In order to enable non-specialized personnel to operate at remote locations, digital assistance systems are a feasible solution. This paper discusses such an assistance system to accompany manual operations of the robot-based DED process in a mobile manufacturing unit.

Design for Additive Manufacturing in the Cloud Platform

2017 ◽  
Author(s):  
Yuanbin Wang ◽  
Robert Blache ◽  
Xun Xu
Keyword(s):  
Knowledge Management ◽  
Decision Support ◽  
Additive Manufacturing ◽  
Full Advantage ◽  
New Technologies ◽  
Design Stage ◽  
Design For Additive Manufacturing ◽  
Cloud Platform ◽  
Am Processes

Additive manufacturing (AM) has experienced a phenomenal expansion in recent years and new technologies and materials rapidly emerge in the market. Design for Additive Manufacturing (DfAM) becomes more and more important to take full advantage of the capabilities provided by AM. However, most people still have limited knowledge to make informed decisions in the design stage. Therefore, an interactive DfAM system in the cloud platform is proposed to enable people sharing the knowledge in this field and guide the designers to utilize AM efficiently. There are two major modules in the system, decision support module and knowledge management module. A case study is presented to illustrate how this system can help the designers understand the capabilities of AM processes and make rational decisions.

scholarly journals Additive manufacturing in the spare parts supply chain: hub configuration and technology maturity

2018 ◽  
Vol 24 (7) ◽  
pp. 1178-1192 ◽  
Author(s):  
Siavash H. Khajavi ◽  
Jan Holmström ◽  
Jouni Partanen
Keyword(s):  
Supply Chain ◽  
Additive Manufacturing ◽  
Spare Parts ◽  
Content Type ◽  
Local Manufacturing ◽  
Efficiency And Effectiveness ◽  
Industrial Operations ◽  
Production Configuration ◽  
Part Production

PurposeInnovative startups have begun a trend using laser sintering (LS) technology patents expiration, namely, by introducing LS additive manufacturing (AM) machines that can overcome utilization barriers, such as the costliness of machines and productivity limitation. The recent rise of this trend has led the authors to investigate this new class of machines in novel settings, including hub configuration. There are various supply chain configurations to supply spare parts in industrial operations. This paper aims to explore the promise of a production configuration that combines the benefits of centralized production with the flexibility of local manufacturing without the huge costs related to it.Design/methodology/approachThis study quantitatively examines the feasibility of different AM-enabled spare parts supply chain configurations. Using cost data extracted from a case study, three scenarios per AM machine technology are modeled and compared.FindingsResults suggest that hub production configuration depending on the utilized AM machines can provide economic efficiency and effectiveness to reduce equipment downtime. While previous studies have suggested the need for AM machines with efficiency for single part production for a distributed supply chain, the findings in this research illustrate the positive relationship between multi-part production capability and the feasibility of a hub manufacturing configuration establishment.Originality/valueThis study explores the promise of a production configuration that combines the benefits of centralized production with the flexibility of local manufacturing without the huge costs related to it. Although the existing body of knowledge contains research on production decentralization, research on various levels of decentralization is lacking. Using a real-world case study, this study aims to compare the feasibility of different levels of decentralization for AM-enabled spare parts supply chains.

Economic and Environmental Assessment of Spare Parts Production Using Additive Manufacturing

2019 ◽  
pp. 159-181
Author(s):  
Atanu Chaudhuri ◽  
Dennis Massarola
Keyword(s):  
Supply Chain ◽  
Additive Manufacturing ◽  
Dynamic Simulation ◽  
Environmental Sustainability ◽  
Selective Laser Sintering ◽  
Spare Part ◽  
Spare Parts ◽  
Logistics System ◽  
Supply Chain Costs ◽  
System Dynamic Simulation

This chapter aims to investigate the potential economic and environmental sustainability outcomes of additive manufacturing (AM) for spare parts logistics. System dynamic simulation was conducted to analyze the sustainability of producing a spare part used in a railways subsystem using a particular additive manufacturing (AM) technology (i.e., selective laser sintering [SLS]) compared to producing it using injection molding. The results of the simulation showed that using SLS for the chosen part is superior to the conventional one in terms of total variable costs as well as for carbon footprint. Compared to the conventional supply chain, for the AM supply chain, the costs of the supplier reduces by 46%, that of the railways company reduces by 71%, while the overall supply chain costs reduce by 61.9%. The carbon emissions in the AM supply chain marginally reduces by 2.89% compared to the conventional supply chain.

Micro and Nanotechnology Maturity and Performance Assessment

2010 ◽  
pp. 174-192
Author(s):  
Nazrul Islam
Keyword(s):  
Assessment Tool ◽  
Study Approach ◽  
Specific Assessment ◽  
Key Issues ◽  
Assessment Matrix ◽  
Technology Managers ◽  
And Performance ◽  
Manufacturing Technologies ◽  
Manufacturing Readiness

This chapter aims to provide a new readiness matrix called ‘innovative manufacturing readiness levels (IMRLs)’ to evaluate and assess the areas of micro and nanotechnology maturity including their performance. The study employs a case study approach through which the practicability and applicability of the IMRLs conceptual matrix were verified and confirmed. A case study with laser-based manufacturing technologies explores the stages of micro and nano technologies (MNTs)’ maturity, including the key issues and performances that contributed to the development of a new assessment tool. Concerning intense global R&D competition in MNTs, this study exhibits a forward-looking approach in assessing MNTs maturity and performance. A generic conclusion is reached by which product designers and technology managers position themselves and take into account risk reduction exercises related to MNTs. The novelty of the research could be that organizations, which develop and use MNTs, have an opportunity in applying such a specific assessment matrix to quantify the technology readiness of unreleased MNTs.

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