scholarly journals System Dynamics Modeling in Additive Manufacturing Supply Chain Management

Processes ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 982
Author(s):  
Jairo Nuñez Rodriguez ◽  
Hugo Hernando Andrade Sosa ◽  
Sylvia Maria Villarreal Archila ◽  
Angel Ortiz

A system dynamics model was developed with the primary purpose of visualizing the behavior of a supply chain (SC) when it adopts a disruptive technology such as additive manufacturing (AM). The model proposed a dynamic hypothesis that defines the following issue: what is the impact of the AM characteristics and processes in the SC? The model was represented through a causal diagram in thirteen variables related to the SC, organized in two feedback cycles and a data flow diagram, based mainly on the three-essential links of the SC and the order display traceability: supplier–focal manufacturer–distribution Network. Once proposed, the model was validated through the evaluation of extreme conditions and sensitivity analysis. As a result, the dynamic behavior of the variables that condition the chain management was analyzed, evidencing reduction times in production, especially in products that require greater complexity and detail, as well as reductions in inventories and the amount of raw material due to production and storing practices from AM. This model is the starting point for alternative supply chain scenarios through structural operating policies and operating policies in terms of process management.

2016 ◽  
Vol 27 (7) ◽  
pp. 944-968 ◽  
Author(s):  
Katrin Oettmeier ◽  
Erik Hofmann

Purpose The purpose of this paper is to provide a systematic analysis about the effects of additive manufacturing (AM) technology adoption on supply chain management (SCM) processes and SCM components in an engineer-to-order environment. Design/methodology/approach Based on two explorative case studies from the hearing systems industry, the impact of AM technology adoption on SCM processes and SCM components is investigated. General systems theory and the contingency approach serve as theoretical underpinning. Findings Not only the internal processes and management activities, e.g. in manufacturing and order fulfillment, of producers are affected by a changeover to AM, but also the SCM processes and components relating to the supply and demand side of a firm’s supply chain. Endogenous and AM technology-related factors are contingency factors that help to explain differing effects of AM technology adoption on SCM processes and SCM components. Research limitations/implications It is proposed that AM’s ability to economically build custom products provides the potential to alleviate the common dilemma between product variety and scale economies. Practical implications Manufacturing firms are encouraged to consider the potential effects of AM on SCM processes and SCM components when deciding whether to adopt AM technologies in the production of industrial parts. Originality/value The research adds to the widely unexplored effects that AM technology usage in customized parts production has on SCM processes and components. Moreover, the general lack of case studies analyzing the implications of AM technology adoption from a supply chain perspective is addressed. The resulting propositions may serve as a starting point for further research on the impact of AM in engineer-to-order supply chains.


2020 ◽  
Vol 12 (2) ◽  
pp. 221-231
Author(s):  
Klaus-Jürgen Meier

PurposeThere are many academic contributions dealing with the impact of additive manufacturing on supply chains (Ben-Ner and Siemsen, 2017; Durach, 2017; Gravier and Roethlein, 2018; Brown, 2018; Rogers et al., 2016; Sasson and Johnson, 2016; Nyman and Sarlin, 2014). But how future supply chain design may differ from today is still vague. In this article, possible scenarios are discussed and decision support is provided for the management, which is responsible for long-term strategic decisions.Design/methodology/approachThis papers introduces the general characteristics of additive manufacturing and its next steps of development. Based on these technological assumptions various scenarios are systematically derived applying the standardized nomenclature of SCOR-model. Resulting threats and chances will be discussed and finally brought to a conclusion.FindingsWith the spread of additive manufacturing, the industry has the opportunity to pursue completely new approaches in terms of product development, design and product properties. This not only leads to new competitive models and the possibility of customer individualization of the products down to volume “1”. In addition, there are new models for supply chain management that can be used to react quickly and flexibly to customer requests. Already today new approaches for the cooperation between partners play an essential role.For start-ups, market entry should be simplified by using the resulting opportunities.Research limitations/implicationsFuture developments and especially the development speed of additive manufacturing are not predictable. Therefore, the expected scenarios may differ from reality and lead to a different supply chain design. There will also be industries that can use additive manufacturing much more intensively than others – not least because of the technological restrictions of the manufacturing process. Corporate culture and the overcoming of technical challenges are a decisive factor.Practical implicationsThis paper gives supply chain management an outlook on future development opportunities. This enables management to set the right course for a future-oriented position today.Social implicationsThe changes in the supply chain will open up new business models while existing models will disappear. This leads to a change in the field of logistics but also for many technology providers. As a consequence, there will be serious changes (opportunities and risks) for the employees involved and their working environment.Originality/valueThis paper enables management to understand the scope and impact of upcoming changes. In this way, it significantly promotes awareness-raising and contributes to the future-oriented proceeding of companies.


Author(s):  
Steve Cartland

This chapter examines the relevance of business continuity to supply chain management. Business continuity has focused on the business processes of individual organizations. A business process in a supply chain can involve multiple discrete organizations. This chapter draws on the approaches used by individual organizations to implement continuity and apply them to a supply chain. Typically, supply chains are dependent on IT and workplace for staff. Both can be impacted in a disaster. If one member of a supply chain is affected, this will affect other organizations in the supply chain, magnifying the impact of the initial disaster. The chapter also examines the issues of service supply chains as well as physical goods. A practical outline plan for the development, auditing, and testing of a continuity plan for a supply chain and its management within an overall supply chain governance is proposed as a starting point for supply chain managers.


2013 ◽  
Vol 4 (1) ◽  
pp. 35-59 ◽  
Author(s):  
Anu Bask ◽  
Markku Tinnilä

Supply chains are typically considered to consist of many stages across several organizations starting from raw material sources through component production to manufacturing and further on via distribution operations to B-to-B customers and consumers. This paper focuses on analyzing product-related characteristics: what the characteristics mentioned in the literature are, and the impact they have on the structure and design of supply chains. The authors look at how product characteristics in general influence the design of supply chains, and their effect on different stages of supply chains. In the literature analysis, the focus is on examining the impact of product characteristics on supply chain strategy and structures, purchasing, manufacturing, distribution, and logistics services. Finally, they draw conclusions on the above. The contribution of this paper is twofold. Firstly, based on supply chain management literature, the authors propose a framework for analyzing the impact of product characteristics on supply chains. Secondly, at the end of the paper, they extend the framework by summarizing the key results pertaining to each supply chain management area under analysis. These include the characteristics of the main frameworks used in previous studies and the generic product characteristics used.


2018 ◽  
Vol 29 (5) ◽  
pp. 846-865 ◽  
Author(s):  
Abhijeet Ghadge ◽  
Georgia Karantoni ◽  
Atanu Chaudhuri ◽  
Aravindan Srinivasan

Purpose The purpose of this paper is to assess the impact of additive manufacturing (AM) implementation on aircraft supply chain (SC) networks. Additive and conventional manufacturing spare part inventory control systems are studied and compared, revealing insights into SC performance. Design/methodology/approach A leading global commercial airline’s SC network data are used to model the research problem. A system dynamics simulation approach is followed, drawing out insights for managers. Findings A significant improvement in SC efficiency is observed through the implementation of AM, rendering it a worthwhile investment for global SCs. AM helps to balance inventory levels, and increase responsiveness while decreasing disruptions and carbon emissions in the supply networks. Practical implications The paper offers guidance on the adaption of AM in aircraft SCs and AM’s impact on spare part inventory systems. Originality/value The study provides robust evidence for making critical managerial decisions on SC re-design driven by a new and disruptive technology. Next-generation SC and logistics will replace the current demand for fulfilling material products by AM machines.


2021 ◽  
Vol 11 (2) ◽  
pp. 77
Author(s):  
Khadija Ajmal ◽  
Nallan C. Suresh ◽  
Charles X. Wang

This study examines the relationship between disruptive technologies and their potential impacts on sustainable supply chain management (SSCM), with a focus on the following technologies: Big Data Analytics / Artificial Intelligence / Machine Learning, Blockchain, Industry 4.0 / Internet of Things (IoT), 3D Printing / Additive Manufacturing, and P2P / Sharing Economy. Based on a comprehensive literature review on both theoretical and practical roles of these disruptive technologies in SSCM, we conduct a cross-case study to analyze the impacts of disruptive technologies on sustainability performance. From 100 application cases of 41 companies in key supply chain management and sustainability journals, we develop a classification scheme based on implementation complexity and sustainability performance of disruptive technologies. The implementation complexity and sustainability performance matrix show that all the cases examined have a positive overall sustainability performance score which indicates that investment in disruptive technologies improves the sustainability performance of firms. However, the impact of each disruptive technology on sustainability performance varies with the types of technology and sustainability dimensions. We also utilize the cases to illustrate how disruptive technologies are applied to key areas of SSCM and identify opportunities for future research.


2008 ◽  
pp. 2633-2644
Author(s):  
Steve Cartland

This chapter examines the relevance of business continuity to supply chain management. Business continuity has focused on the business processes of individual organizations. A business process in a supply chain can involve multiple discrete organizations. This chapter draws on the approaches used by individual organizations to implement continuity and apply them to a supply chain. Typically, supply chains are dependent on IT and workplace for staff. Both can be impacted in a disaster. If one member of a supply chain is affected, this will affect other organizations in the supply chain, magnifying the impact of the initial disaster. The chapter also examines the issues of service supply chains as well as physical goods. A practical outline plan for the development, auditing, and testing of a continuity plan for a supply chain and its management within an overall supply chain governance is proposed as a starting point for supply chain managers.


2010 ◽  
pp. 2148-2163
Author(s):  
Steve Cartland

This chapter examines the relevance of business continuity to supply chain management. Business continuity has focused on the business processes of individual organizations. A business process in a supply chain can involve multiple discrete organizations. This chapter draws on the approaches used by individual organizations to implement continuity and apply them to a supply chain. Typically, supply chains are dependent on IT and workplace for staff. Both can be impacted in a disaster. If one member of a supply chain is affected, this will affect other organizations in the supply chain, magnifying the impact of the initial disaster. The chapter also examines the issues of service supply chains as well as physical goods. A practical outline plan for the development, auditing, and testing of a continuity plan for a supply chain and its management within an overall supply chain governance is proposed as a starting point for supply chain managers.


2020 ◽  
Vol 13 (1) ◽  
pp. 56
Author(s):  
Tino Herden

Purpose: Analytics research is increasingly divided by the domains Analytics is applied to. Literature offers little understanding whether aspects such as success factors, barriers and management of Analytics must be investigated domain-specific, while the execution of Analytics initiatives is similar across domains and similar issues occur. This article investigates characteristics of the execution of Analytics initiatives that are distinct in domains and can guide future research collaboration and focus. The research was conducted on the example of Logistics and Supply Chain Management and the respective domain-specific Analytics subfield of Supply Chain Analytics. The field of Logistics and Supply Chain Management has been recognized as early adopter of Analytics but has retracted to a midfield position comparing different domains.Design/methodology/approach: This research uses Grounded Theory based on 12 semi-structured Interviews creating a map of domain characteristics based of the paradigm scheme of Strauss and Corbin.Findings: A total of 34 characteristics of Analytics initiatives that distinguish domains in the execution of initiatives were identified, which are mapped and explained. As a blueprint for further research, the domain-specifics of Logistics and Supply Chain Management are presented and discussed.Originality/value: The results of this research stimulates cross domain research on Analytics issues and prompt research on the identified characteristics with broader understanding of the impact on Analytics initiatives. The also describe the status-quo of Analytics. Further, results help managers control the environment of initiatives and design more successful initiatives.


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