Supply Chain Modifications to Improve Additive Manufacturing

Additive manufacturing (AM) offers unique production characteristics which among those, toollessness and production of complex geometries are potentially significant to operations efficiency. Previous research has illustrated the potential sufficiency of this technology to affect the supply chains‟ arrangements and enabling decentralized production configurations. While, one of the important advantages of AM enabled distributed production is the increased flexibility, which is a necessity in today‟s competitive and ever changing global supply chains, number of obstacles have kept this method from wide implementation. In this paper, we study the possible supply chain modifications to decrease the cost of an AM-enabled decentralized production system. In other words, we perform a cost-benefit analysis on various AM supply chain strategies in a spare parts context to realize the independent operational factors affecting the implementation cost of additive manufacturing. Moreover, we analyze the ways to adapt the supply chain management to enable full potential of AM considering the present technology.Mechanical Engineerin

Digital Twin : Vision, Benefits, Boundaries, and Creation for Buildings

The concept of a digital twin has been used in some industries where an accurate digital model of the equipment can be used for predictive maintenance. The use of a digital twin for performance is critical, and for capital-intensive equipment such as jet engines it proved to be successful in terms of cost savings and reliability improvements. In this paper, we aim to study the expansion of the digital twin in including building life cycle management and explore the benefits and shortcomings of such implementation. In four rounds of experimentation, more than 25,000 sensor reading instances were collected, analyzed, and utilized to create and test a limited digital twin of an office building facade element. This is performed to point out the method of implementation, highlight the benefits gained from digital twin, and to uncover some of the technical shortcomings of the current Internet of Things systems for this purpose.Peer reviewe

Additive manufacturing in the clothing industry

Funding Information: This work was supported by Direct Operations Project under Grant 323831. Publisher Copyright: © 2021 by the author. Licensee MDPI, Basel, Switzerland.The clothing industry is among the most polluting and waste-generating industries in the world, and it is responsible for the release of large amounts of greenhouse gases. The industry’s massive size and significant environmental footprint with regard to water and energy consumption and waste generation make it a valid improvement candidate. While in recent years, global clothing brands and retailers have taken steps to reduce their ecological footprint, there still is a lot of room for improvement. In this research, we view this sustainability issue from a lifecycle perspective and study the new business models (NBMs) that may arise from the utilization of additive manufacturing (AM) technology. AM is emerging as a method of production for final parts. Moreover, as the range of material and available production processes expands, it is increasingly important to study the potential impact of this promising production technology and potential NBMs enabled by it on the clothing industry. Additionally, the obstacles to AM utilization in the clothing industry are explored. We utilize secondary data related to relevant implementation cases to theoretically study the NBMs that AM can enable to improve sustainability. Three NBMs of “clothing as a service”, “collaborative consumption”, and “direct sale/distribution” were envisioned through the study of current AM applications in other industries, as well as current fashion trends. The results of this research have implications for the sustainability of the fashion industry while also providing directions for AM technology development.Peer reviewe

Production Capacity Pooling in Additive Manufacturing, Possibilities and Challenges

Industries such as aviation tend to hold large amounts of capital tied to spare parts inventories to insure a high availability [1]. One effective approach to increase the efficiency in inventory management has been resource pooling [2]. However, the emergence of additive manufacturing (AM) enables the new paradigm of production capacity pooling, which varies from current ones. AM’s inherent characteristics may realize capacity sharing among distinct industries, alleviate the need for high safety stock levels and enable better customer service through the reduction of transshipments for spare parts. The advantages can be extended to the broader fulfillment reach of the firm in other geographical areas without expanding its existing production capacity or inventory (and other benefits from a distributed production setting). However, issues with inter-organizational agreements, testing and production reliability may slow down the pooling process while the required facilities are in place. This paper aims to extend the existing literature on implications of this growing phenomenon on inventory management practices. Study methodology is conceptual analysis.Peer reviewe

Additive manufacturing as a platform for introducing cyber-physical services

Additive manufacturing (AM) is increasingly used for the production of functional components. This process is based on digital design model and can produce customized components with no additional cost (toolless process). AM is an inherently model-centric approach to manufacturing which provides a starting point for extending product-centric control and services to tasks and operations beyond manufacturing. In this paper, we investigate a method to assign a unique identification to each part using AM and the additional product-centric services enabled through it, are discussed. The use of a unique identifier in the form of ID@URI which is additively manufactured (from the design file) on the parts enables additional services throughout the parts' lifecycle. Assembly, delivery, aftersales services, and maintenance, as well as product improvement, are the major product-centric services benefiting from identification introduced through the use of AM.Peer reviewe

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

Purpose: Innovative 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/approach: This 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. Findings: Results 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/value: This 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.Peer reviewe

The direct digital manufacturing (r)evolution: definition of a research agenda

Direct digital manufacturing, or ‘3D printing’ as it is more commonly known, offers a wealth of opportunities for product and process innovation, and is often touted to ‘revolutionize’ today’s manufacturing operations and its associated supply chains structures. Despite a growing number of successful 3D printing applications, however, evidence of any displacement of traditional manufacturing is limited. In this paper we seek to separate hype surrounding DDM from economic reality in order to ground the future research agenda for the Operations Management field. By opposing direct digital manufacturing with traditional tool-based manufacturing, we show that direct digital manufacturing so far lags behind by several orders of magnitude compared to traditional manufacturing methods. Yet we also find that direct digital manufacturing clearly is on an improvement trajectory that eventually will see it being able to compete with traditional manufacturing on a unit cost basis. As such we conclude that direct digital manufacturing will increasingly challenge operations management researchers to question established practices such as scheduling, batch sizing and inventory management in low-volume, high-variety contexts. Furthermore, an increasing adoption of direct digital manufacturing will drive structural shifts in the supply chain that are not yet well understood. We summarize these challenges by defining the research agenda at factory, supply chain, and operations strategy level

Digital Twin for Safety and Security: Perspectives on Building Lifecycle

As digital twins are gaining importance in various industries, research on their impact, use cases, and implementation in the field of construction is accelerating. In this study, we examine the impact of digital twins on building safety and security throughout their lifecycle, utilizing two state-of-the-art use cases for fire and anomaly detection. The solution employs advanced sensors, 3D visualizations for detecting safety and security threats, and data analysis to predict potential future threats. Using the data that was collected over a seventeen-month period, we present an implementation architecture for safety and security digital twins in buildings, explore the benefits and shortcomings of such a system, and discuss the learnings applicable to different lifecycle stages of a building. This paper contributes to the creation and study of a digital twin for fire safety, analyzing its performance using two real-world use cases and reporting the implementation results. Additionally, we extrapolate the learnings from the use phase of a facility to other lifecycle phases of buildings and facilities

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