Measuring the Complexity of Additive Manufacturing Supply Chains

2017 ◽  
Author(s):  
Ardeshir Raihanian Mashhadi ◽  
Sara Behdad
Keyword(s):  
Supply Chain ◽  
Additive Manufacturing ◽  
Supply Chains ◽  
Product Complexity ◽  
Information Theoretic ◽  
Manufacturing Method ◽  
Management Domain ◽  
Information Theoretic Measures ◽  
Production Cycles ◽  
Supply Planning

Complexity has been one of the focal points of attention in the supply chain management domain, as it deteriorates the performance of the supply chain and makes controlling it problematic. The complexity of supply chains has been significantly increased over the past couple of decades. Meanwhile, Additive Manufacturing (AM) not only revolutionizes the way that the products are made, but also brings a paradigm shift to the whole production system. The influence of AM extends to product design and supply chain as well. The unique capabilities of AM suggest that this manufacturing method can significantly affect the supply chain complexity. More product complexity and demand heterogeneity, faster production cycles, higher levels of automation and shorter supply paths are among the features of additive manufacturing that can directly influence the supply chain complexity. Comparison of additive manufacturing supply chain complexity to its traditional counterpart requires a profound comprehension of the transformative effects of AM on the supply chain. This paper first extracts the possible effects of AM on the supply chain and then tries to connect these effects to the drivers of complexity under three main categories of 1) market, 2) manufacturing technology, and 3) supply, planning and infrastructure. Possible impacts of additive manufacturing adoption on the supply chain complexity have been studied using information theoretic measures. An Agent-based Simulation (ABS) model has been developed to study and compare two different supply chain configurations. The findings of this study suggest that the adoption of AM can decrease the supply chain complexity, particularly when product customization is considered.

Episodic supply chains at times of disruption

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Christina Öberg
Keyword(s):  
Supply Chain ◽  
Additive Manufacturing ◽  
Supply Chains ◽  
Design Methodology ◽  
Secondary Data ◽  
Transformational Change ◽  
Content Type ◽  
Metal Additive Manufacturing ◽  
Contemporary Technology ◽  
Metal Additive

Purpose Additive manufacturing has been described as converting supply chains into demand chains. By focusing on metal additive manufacturing as a contemporary technology causing ongoing disruption to the supply chain, the purpose of this paper is to describe and discuss how incumbent firms act during an ongoing, transformational disruption of their supply chain. Design/methodology/approach Interviews and secondary data, along with seminars attracting approximately 600 individuals operating in metal additive manufacturing, form the empirical basis for this paper. Findings The findings of this paper indicate how disruption occurs at multiple positions in the supply chain. Episodic positions as conceptualised in this paper refer to how parties challenged by disruption attempt to reach normality while speeding the transformational disruption. Originality/value This paper contributes to previous research by theorising about episodic positions in light of a supply chain disruption. The empirical data are unique in how they capture supply chain change at the time of disruption and illustrate disruptive, transformational change to supply chains. The paper interlinks research on disruption from the innovation and supply chain literature, with contributions to both.

scholarly journals Chain Reaction

2018 ◽  
Vol 140 (10) ◽  
pp. 30-35 ◽  
Author(s):  
Alan S. Brown
Keyword(s):  
Supply Chain ◽  
Additive Manufacturing ◽  
Supply Chains ◽  
Medical Devices ◽  
Business Models ◽  
Rolling Stock ◽  
Industrial Equipment ◽  
Special Report ◽  
Chain Reaction ◽  
The U.S

For 30 years, additive manufacturing has made all sorts of promises. Yet machines remained slow, materials expensive, and printers too inconsistent for critical parts. And additive was costly. Today, however, the technology is turning that past on its head. While additive manufacturing is usually the most expensive way to make any part, it makes economic sense for supply chains. Which is why manufacturers of everything from aircraft and rolling stock to appliances, industrial equipment, and medical devices are looking at 3-D supply chain solutions—as are the U.S. Marines and UPS. This special report looks at how additive manufacturing is disrupting business models and transforming supply chains.

Challenges and opportunities to integrate the oldest and newest manufacturing processes: metal casting and additive manufacturing

2020 ◽  
Vol 26 (6) ◽  
pp. 1145-1154 ◽  
Author(s):  
Paul Lynch ◽  
C.R. Hasbrouck ◽  
Joseph Wilck ◽  
Michael Kay ◽  
Guha Manogharan
Keyword(s):  
Supply Chain ◽  
Additive Manufacturing ◽  
Supply Chains ◽  
Service Providers ◽  
Three Dimensional ◽  
Metal Casting ◽  
Content Type ◽  
Digital Ecosystem ◽  
Volume Production ◽  
Low Volume

Purpose This paper aims to investigate the current state, technological challenges, economic opportunities and future directions in the growing “indirect” hybrid manufacturing ecosystem, which integrates traditional metal casting with the production of tooling via additive manufacturing (AM) process including three-dimensional sand printing (3DSP) and printed wax patterns. Design/methodology/approach A survey was conducted among 100 participants from foundries and AM service providers across the USA to understand the current adoption of AM in metal casting as a function of engineering specifications, production demand, volume and cost metrics. In addition, current technological and logistical challenges that are encountered by the foundries are identified to gather insight into the future direction of this evolving supply chain. Findings One of the major findings from this study is that hard tooling costs (i.e. patterns/core boxes) are the greatest challenge in low volume production for foundries. Hence, AM and 3DSP offer the greatest cost-benefit for these low volume production runs as it does not require the need for hard tooling to produce much higher profit premium castings. It is evident that there are major opportunities for the casting supply chain to benefit from an advanced digital ecosystem that seamlessly integrates AM and 3DSP into foundry operations. The critical challenges for adoption of 3DSP in current foundry operations are categorized into as follows: capital cost of the equipment, which cannot be justified due to limited demand for 3DSP molds/cores by casting buyers, transportation of 3DSP molds and cores, access to 3DSP, limited knowledge of 3DSP, limitations in current design tools to integrate 3DSP design principles and long lead times to acquire 3DSP molds/cores. Practical implications Based on the findings of this study, indirect hybrid metal AM supply chains, i.e. 3DSP metal casting supply chains is proposed, as 3DSP replaces traditional mold-making in the sand casting process flow, no/limited additional costs and resources would be required for qualification and certification of the cast parts made from three-dimensional printed sand molds. Access to 3DSP resources can be addressed by establishing a robust 3DSP metal casting supply chain, which will also enable existing foundries to rapidly acquire new 3DSP-related knowledge. Originality/value This original survey from 100 small and medium enterprises including foundries and AM service providers suggests that establishing 3DSP hubs around original equipment manufacturers as a shared resource to produce molds and cores would be beneficial. This provides traditional foundries means to continue mass production of castings using existing hard tooling while integrating 3DSP for new complex low volume parts, replacement parts, legacy parts and prototyping.

Additive manufacturing in the apparel supply chain — impact on supply chain governance and social sustainability

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Marlene M. Hohn ◽  
Christian F. Durach
Keyword(s):  
Supply Chain ◽  
Additive Manufacturing ◽  
Supply Chains ◽  
Working Conditions ◽  
Resource Dependence ◽  
Market Competition ◽  
Social Sustainability ◽  
Well Being ◽  
Content Type ◽  
Supply Chain Governance

PurposeFocusing on the apparel industry, this study extends current knowledge on how additive manufacturing (AM) may impact global supply chains regarding structures of interorganizational governance and the industry's social-sustainability issues.Design/methodology/approachFollowing an exploratory research design, two consecutive Delphi studies, with three survey rounds each, were conducted to carve out future industry scenarios and assess AM's impact on supply chain governance and social sustainability.FindingsThe implementation of AM is posited to reinforce existing supply chain governance structures that are dominated by powerful apparel retailers. Retailers are expected to use the increased production speed and heightened market competition to enforce faster fashion cycles and lower purchasing prices, providing a grim outlook for future working conditions at the production stage.Social implicationsAgainst the common narrative that technological progress increases societal well-being, this study finds that new digital technologies may, in fact, amplify rather than improve existing social-sustainability issues in contemporary production systems.Originality/valueThis article contributes to the nascent research field of AM's supply chain impact as one of the first empirical studies to analyze how AM introduction may impact on interorganizational governance while specifically addressing potential social-sustainability implications. The developed propositions relate to and extend the resource dependence and stakeholder perspectives on governance and social sustainability in supply chains. For managers, our results enrich the discussion about the potential use of AM beyond operational viability to include considerations on the wider implications for supply chains and the prevailing working conditions within them.

scholarly journals Impact of the strategic sourcing process on the supply chain response to the COVID-19 effects

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Guilherme F. Frederico ◽  
Vikas Kumar ◽  
Jose Arturo Garza-Reyes
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Supply Chains ◽  
Large Scale ◽  
Survey Methodology ◽  
Chain Management ◽  
Content Type ◽  
Strategic Sourcing ◽  
Management Domain ◽  
The Impact

PurposeThis research investigates the impact of the strategic sourcing process on the supply chain response to COVID-19. The paper presents practitioners' perspectives (experts in supply chain management, especially involved in the procurement field) on the strategic sourcing process's impact on the supply chain response.Design/methodology/approachThe study follows a survey-based approach for data collection. It uses a descriptive survey methodology where questions related to the impact of the strategic sourcing process on the supply chain response in the face of the coronavirus pandemic were explored by practitioners.FindingsIn total, 130 valid responses were obtained. The results showed that the majority of respondents agreed or strongly agreed that strategic sourcing positively impacts the supply chain response amid the COVID-19 effects. Also, for the five phases of the strategic sourcing process, the majority of respondents considered them as a high and very high impact on the supply chain response.Research limitations/implicationsThis paper provides timely insights for practitioners and academics, especially those involved in the supply chain management area, showing how the strategic sourcing process plays an important role in making supply chains more responsive amid disruption situations.Practical implicationsFindings of this paper clearly shows the impact of the phases of the strategic sourcing process on the responsiveness of the supply chains amid the COVID-19 pandemic. This can encourage supply chain leadership to devote more time to strategic sourcing initiatives to generate improvements on the supply chain performance.Originality/valueThis paper is unique since it brings an unexplored relation in respect to strategic sourcing amid disruption situations, such as the COVID-19 pandemic, from a practitioner's perspective. It also significantly contributes to developing new directions for the supply chain management domain to deal with large-scale disruptions, such as the coronavirus pandemic.

Supply chain innovations for additive manufacturing

2019 ◽  
Vol 50 (1) ◽  
pp. 54-79 ◽  
Author(s):  
Toni Luomaranta ◽  
Miia Martinsuo
Keyword(s):  
Supply Chain ◽  
Additive Manufacturing ◽  
Supply Chains ◽  
Business Processes ◽  
Production Systems ◽  
Business Environment ◽  
Machine Building ◽  
Data Set ◽  
Holistic View ◽  
Content Type

Purpose Additive manufacturing (AM) involves the renewal of production systems and also has implications for firms’ supply chains. Innovations related to AM supply chains are, so far, insufficiently understood, but their success will require firms’ awareness of their systemic nature and their firm-specific implications. The purpose of this paper is to explore the supply chain innovations dealing with AM in business-to-business supply chains. Design/methodology/approach An exploratory qualitative research design is used. Interviews were conducted in 20 firms, workshops were organized to map AM-related processes and activities, and supply chain innovations were analyzed. Findings This study reveals practical changes in supply chains and requirements for AM-related supply chain innovations. While earlier research has centered on technology or firm-specific AM implementations, this study shows that fully leveraging AM will require innovations at the level of the supply chain, including innovations in business processes, technology and structure, as well as supportive changes in the business environment. These innovations occur in different parts of the AM supply chain and are emphasized differently within different firm types. Research limitations/implications This research was conducted in one country in the context of the machine building and process industry with a limited data set, which limits the generalizability of the results. The results offer an analytical framework and identify new research avenues for exploring the innovations in partial or complete AM supply chains. Practical implications The results offer a framework to assess the current state and future needs in AM-related supply chain innovations. Practical ideas are proposed to enhance AM adoption throughout firms’ supply chains. These results are important to managers because they can help them position their firms and guide the activities and collaborations with other firms in the AM supply chain. Originality/value This study draws attention to the supply chain innovations required when firms adopt AM in their processes. The generic supply chain innovation framework is enhanced by adding the business context as a necessary component. Implementation of AM is shown to depend on the context both at the level of the supply chain and the firm’s unique role in the supply chain. The holistic view taken reveals that successful AM technology adoption requires broad involvement from different firms across the supply chain.

Adopting additive manufacturing in SMEs: exploring the challenges and solutions

2018 ◽  
Vol 29 (6) ◽  
pp. 937-957 ◽  
Author(s):  
Miia Martinsuo ◽  
Toni Luomaranta
Keyword(s):  
Supply Chain ◽  
Additive Manufacturing ◽  
Supply Chains ◽  
Design Methodology ◽  
Large Scale ◽  
Content Type ◽  
Systemic Innovation ◽  
Specific Implementation ◽  
Practical Implications ◽  
Selection Of

Purpose Adopting additive manufacturing (AM) can be challenging, especially in small- and medium-sized enterprises (SMEs) and as part of the supply chains of larger firms. The purpose of this paper is to explore SMEs’ perspectives on the adoption of AM in their specific supply chain positions. The paper develops new knowledge on the challenges SMEs face across the supply chain and the actions they need to promote the adoption of AM. Design/methodology/approach An exploratory interview-based research design is used. In total, 17 interviews were conducted and analyzed in four types of SMEs in their specific positions in AM supply chains. The challenges of adopting AM were mapped, and actions to promote AM adoption were identified. Findings SMEs in different supply chain positions experience different challenges when adopting AM. Strategic and operative actions are suggested as key solutions to overcome the challenges. The benefits of AM on a large scale will be achieved only if the broader supply chain adopts AM technology and experiences its benefits. Research limitations/implications The research is limited by its single-country context, its focus on SMEs, and the selection of early-phase AM-adopter firms. The findings imply a need to understand AM adoption as a shared concern and systemic innovation in the supply chain, instead of just a firm-specific implementation task. Practical implications The findings offer a framework for categorizing AM adoption challenges and propose ways to overcome the challenges of adoption. Originality/value The study reveals that AM adoption is not only a technology issue, but also an issue of strategic, organizational and operational challenges across the supply chain. It shows that when adopting AM, SMEs face particular challenges and require specific solutions according to their supply chain position.

scholarly journals Resilience in supply chains - How additive manufacturing enables a resilient supply chain

2021 ◽  
Author(s):  
Daniel Trauth ◽  
Johannes Schleifenbaum ◽  
Kristian Arntz ◽  
Gerret Lukas ◽  
Philipp Niemietz ◽  
...  
Keyword(s):  
Supply Chain ◽  
Additive Manufacturing ◽  
Supply Chains ◽  
Computer Aided Design ◽  
Business Models ◽  
Success Factor ◽  
Manufacturing Companies ◽  
Supply Chain Resilience ◽  
The Future ◽  
Resilient Supply Chain

Resilience - the ability to deal with crises and recover from their effects as quickly as possible - has been glorified since the COVID-19 pandemic as the new miracle cure against the effects for disruptions that occur in the future. Especially for Germany as an export-oriented location, the resilient design of supply chains is an economic success factor. However, a strategic anchoring of resilience thinking in management as well as the use of future-oriented technologies are necessary to harness the potentials of a robust, agile, adaptive and integrative supply chain. Additive manufacturing, due to its digital "DNA" and great design freedom, has the potential to more efficiently create or drive supply chain resilience. Redundancy due to inventories, for example, becomes obsolete due to the location-independent, flexible production of required products without long start-up times on the basis of computer-aided design files. Companies in a supply chain also do not have to bear the investment risk for additive manufacturing machines due to new, data-based business models. For many manufacturing companies and entrepreneurial alliances in the form of a supply chain, the question is therefore increasingly whether additive manufacturing technology can be increasingly used as an instrument to increase resilience along the supply chain in the future. The study "Resilience in Supply Chains - How Additive Manufacturing Enables a Resilient Supply Chain" sheds light on this economic and also ecologically valuable question and presents potential data-driven business models for the technology sector.

Greenhouse Gas Emission Analysis of Integrated Production-Inventory-Transportation Supply Chain Enabled by Additive Manufacturing

2021 ◽  
pp. 1-14
Author(s):  
Lei Di ◽  
Yiran Yang
Keyword(s):  
Supply Chain ◽  
Additive Manufacturing ◽  
Supply Chains ◽  
Greenhouse Gas ◽  
Manufacturing Industry ◽  
Ghg Emissions ◽  
Chain Structure ◽  
Integrated Production ◽  
Production Inventory ◽  
Supply Chain Structure

Abstract Additive manufacturing (AM), owing to its unique layer-wise production method, can offer evident advantages comparing to traditional manufacturing (TM) technologies such as faster production, lower cost, and less waste. The uses of AM in rapid tooling, prototyping, and manufacturing have been innovating the current manufacturing industry from the process level to the entire supply chain. Most existing research on AM is focused on process improvement and new materials, largely neglecting the potential economic and environmental benefits enabled by AM supply chains. This research investigates an innovative supply chain structure, i.e., the integrated production-inventory-transportation (PIT) structure that is uniquely enabled by AM because of its capability of fabricating the entire product with less or even no need for assembly and labor involvement. This paper quantifies and compares the greenhouse gas (GHG) emissions of TM and AM-enabled PIT supply chains. The manufacturing industry is a major source of GHG emissions in the U.S., which therefore needs to be studied in order to explore opportunities for reducing GHG emissions for environmental protection. Case study results suggest that a potential reduction of 26.43% of GHG emissions can be achieved by adopting the AM-enabled PIT supply chain structure. Sensitivity analysis results show that a 20% variation in GHG emission intensity (the amount of CO2eq emissions caused by generating a unit of electricity) can lead to a 6.26% change in the total GHG emissions in the AM-enabled PIT supply chain.

Large-sample confidence intervals of information-theoretic measures in linguistics

2020 ◽  
Vol 6 (1) ◽  
pp. 19-54
Author(s):  
Ryan Ka Yau Lai ◽  
Youngah Do
Keyword(s):  
Maximum Likelihood ◽  
Corpus Linguistics ◽  
Delta Method ◽  
Confidence Bounds ◽  
Likelihood Estimator ◽  
Information Theoretic ◽  
Leibler Divergence ◽  
Information Theoretic Measures ◽  
Data Points ◽  
Measure Of Uncertainty

This article explores a method of creating confidence bounds for information-theoretic measures in linguistics, such as entropy, Kullback-Leibler Divergence (KLD), and mutual information. We show that a useful measure of uncertainty can be derived from simple statistical principles, namely the asymptotic distribution of the maximum likelihood estimator (MLE) and the delta method. Three case studies from phonology and corpus linguistics are used to demonstrate how to apply it and examine its robustness against common violations of its assumptions in linguistics, such as insufficient sample size and non-independence of data points.

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