scholarly journals Additive manufacturing – driving massive disruptive change in supply chain management

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.

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 25 (4) ◽  
pp. 443-456 ◽  
Author(s):  
Neil Towers ◽  
Ismail Abushaikha ◽  
James Ritchie ◽  
Andreas Holter

Purpose The purpose of this paper is to demonstrate the non-academic impact in supply chain management (SCM) research through the application of three distinctive approaches to phenomenological methodology in different contexts. Design/methodology/approach Evidence-based examples from three case studies using interpretivist, social constructivist and critical realist methodologies are presented. They reflect non-positivist approaches commonly used in phenomenological methodology and adopted in SCM investigative research. Findings Different types of non-academic reach and significance from each research methodology are discussed to illustrate the non-academic impact benefits from each case. The three distinctive phenomenological approaches have been shown to contribute to innovative research methodology development on their own philosophical merit and produced novel contributions to SCM research in particular. Research limitations/implications The non-academic impact examples have been shown to have wider influence and implication to business, the economy and society at large. Originality/value The paper highlights the relevance of phenomenological research methodology for SCM. It also contributes to the development of the SCM subject area and is hoped to encourage further reporting of non-academic impact of supply chain research.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Saurav Negi ◽  
Gaurav Negi

PurposeThe purpose of this paper is to identify the issues and challenges in humanitarian logistics and to develop a framework for effectively managing the humanitarian logistics in disaster relief supply chain operations in India.Design/methodology/approachThis paper presents a framework to manage humanitarian logistics effectively in disaster management through qualitative analysis. First, the author examines the challenges facing the humanitarian logistics and supply chain through the reviews of the literature on various disasters. Then, the author presented a framework based on the best practices and initiatives taken worldwide in the preparedness and response stage of the humanitarian supply chain to manage and reduce the aftermath of any disaster in context to India.FindingsA framework has been developed to manage humanitarian logistics in the disaster relief operation, which would improve the humanitarian supply chain in India and help to effectively manage natural disasters in the preparedness and response stage at the state and district levels.Research limitations/implicationsThe paper mainly emphasises on the preparedness and response stage of disaster supply chain management in Indian context.Practical implicationsNone of the disaster incidents can be stopped from taking place, but the impact can be minimised by proper preparedness and effective response during the operations of humanitarian logistics. With this hope, the framework has been developed, which if implemented would help to plan and manage any disaster incident in an effective manner, which ultimately would save millions of lives and cost in terms of infrastructure, property, assets etc.Originality/valueAs natural disaster incidents are occurring frequently in Indian states, there is an urgent need for a framework to manage the logistics operations effectively and efficiently during any disaster relief operations. Limited literature is found on developing and presenting a framework focusing on the preparedness and response phase of disaster supply chain management in context to India. Hence, this paper is believed to be the first to fulfil this gap with main emphasis on the preparedness and response stage of disaster supply chain management in Indian scenario.


Kybernetes ◽  
2019 ◽  
Vol 48 (10) ◽  
pp. 2217-2236 ◽  
Author(s):  
Roya Dehgani ◽  
Nima Jafari Navimipour

PurposeThe impact of information technology (IT) on the agility of supply chain management (SCM) systems is very noticeable in the business world nowadays. Competition and constant changes, including product/technological innovations, decreasing product lifestyles and product proliferation, create pressure that affects the business environment. Organizations are required for answering the changes in the market to gain a competitive advantage and business success. The organizations are able to answer to unexpected market changes through supply chain market, and these changes are converted to business opportunities. Using IT to achieve the agility of SCM is one of the important factors to help the organizations. Therefore, the adoption of IT and its efficient implementation can improve the cooperation between supply chain agility through the rapid transfer, the distribution of accurate information and the use of information. This paper aims to investigate the impact of IT on the agility of SCM.Design/methodology/approachA total of 120 employees of the Golasal firm are involved in collecting data using a questionnaire. Measurements were performed in all questionnaires using a five-point Likert scale. The causal model is evaluated by structural equationmodeling technique, which is used to examine the reliability and validity of the model.FindingsThe results have shown that IT has positive influences on the agility of SCM systems. In addition, the obtained results have shown that four variables, namely, IT skills and knowledge, IT-based systems integration, IT infrastructure and design of global position system and geographic information systems, affect the agility of SCM systems.Originality/valueIn this paper, the agility of SCM systems is pointed out and the approach to resolve the problem is applied into a practical example. The presented model provides a complete framework to examine the impact of IT on the agility of SCM systems.


2017 ◽  
Vol 22 (6) ◽  
pp. 473-485 ◽  
Author(s):  
Giuliano Almeida Marodin ◽  
Guilherme Luz Tortorella ◽  
Alejandro Germán Frank ◽  
Moacir Godinho Filho

Purpose The purpose of this paper is to understand the relationship between the implementation of Lean shop floor (LSF) practices and Lean supply chain management, and their effect on quality and inventory turnover. Design/methodology/approach A survey-based research method was conducted and data were collected from 110 plants located in Brazil. The research constructs were validated through rigorous procedures (unidimensionality and discriminant validity and reliability) through confirmatory factor analysis and two hypotheses were tested using ordinary least square regression. Findings The results indicate that: Lean supplier relationship positively moderates the effect of LSF practices on inventory turnover; Lean customer relationship negatively moderates the effect of LSF practices on inventory turnover; and Lean supplier relationship positively moderates the effect of LSF practices on quality. Originality/value From a theoretical perspective, the results of this study provide evidences supporting the importance of understanding the systemic relationships between Lean implementation at the shop floor and the firm’s relationships with supply chain partners, that was not tested before. As managerial implications, the results suggest that managers should take a decision to foster a Lean supply chain management depending on which performance metrics they need to improve: quality or inventory turnover.


2018 ◽  
Vol 38 (9) ◽  
pp. 1815-1835 ◽  
Author(s):  
Annachiara Longoni ◽  
Raffaella Cagliano

Purpose Little empirical work has been done on the effects of inclusive environmental disclosure and green supply chain management (GSCM) on firm outcomes. The literature on environmental disclosure suggests that it is a useful practice to improve a firm’s reputation and its financial performance and also to establish a dialogue with stakeholders improving environmental performance. Recent conceptual contributions in the supply chain management literature state that stakeholder expectations and informational needs increasingly concern firm supply chains. Thus, the authors propose that positive effects of inclusive environmental disclosure practices are enhanced in presence of GSCM practices. The paper aims to discuss these issues. Design/methodology/approach To test these relationships a combination of primary data on environmental disclosure practices, GSCM practices and environmental performance, and secondary data on financial performance was used. A series of hierarchical regression models were performed to test the disclosure-outcome relationships and the moderation of GSCM practices. Findings Results provide empirical support for the impact of inclusive environmental disclosure practices on financial performance but no support for the impact on environmental performance. Specifically, the more inclusive the environmental disclosure practices the greater and positive is the impact on financial performance in presence of GSCM practices. Originality/value This study provides empirical evidence of the joint effects of inclusive environmental disclosure and GSCM practices on environmental and financial performance. Doing so, it reinforces the recent conceptual foundation that firms should align and leverage on supply chain management for disclosure practice effectiveness.


2017 ◽  
Vol 117 (10) ◽  
pp. 2263-2286 ◽  
Author(s):  
Ying Yu ◽  
Xin Wang ◽  
Ray Y. Zhong ◽  
G.Q. Huang

Purpose The purpose of this paper is to present the state-of-the-art E-commerce logistics in supply chain management by investigating worldwide implementations and corresponding models together with supporting techniques via furniture industry. Design/methodology/approach Typical E-commerce logistics companies from North America, Europe, and Asia Pacific are comprehensively investigated so as to get the lessons and insights from these practices. Findings Future technologies like Internet of Things, Big Data Analytics, and Cloud Computing would be possibly adopted to enhance the E-commerce logistics in terms of system level, operational level, and decision-making level that may be real time and intelligent in the next decade. Research limitations/implications This paper takes the furniture industry for example to illustrate the E-commerce logistics and supply chain management (LSCM). Other industries like electronic appliance industry are not considered. Practical implications Opportunities and future perspectives are summarized from practical implementations so that interested parties like E-commerce and logistics companies are able to get some guidance when they are contemplating the business. Social implications E-commerce is booming with the development of new business models and will be continuously boosted in the near future. With large number of enterprises carrying out E-commerce, logistics has been largely influenced. Originality/value Insights and lessons from this paper are significant for academia and practitioners for considering E-commerce LSCM.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sachin Agarwal ◽  
Ravi Kant ◽  
Ravi Shankar

PurposeThis paper intends to explore and appraise the humanitarian supply chain management enablers (HSCMEs) for efficient and effective humanitarian operations. This research aims to analyze the interaction of enablers for humanitarian supply chain management (HSCM) using a proposed hybrid framework consists of fuzzy Delphi (FD), interpretive structural modeling (ISM)–matriced impacts croises multiplication appliquee a un classement (MICMAC) and revised Simos approach.Design/methodology/approachThis research is deliberate to identify 28 HSCMEs through a literature review and experts' opinions; out of which 20 HSCMEs are selected using FD. ISM is applied to know contextual relationship among the selected HSCMEs for developing a hierarchical model. The MICMAC analysis classifies the HSCMEs based on driving power and dependence power to validate the developed hierarchical ISM structure. The revised Simos technique is used to prioritize the HSCMEs to access its relative significance in humanitarian operations.FindingsThe finding of the analysis suggests that government policy and leadership support obtained the highest priority, having high driving power and low dependence power is significantly strategic and emerged as the leading driver for the HSCM implementation.Research limitations/implicationsISM model presents an insight into interrelationship among HSCMEs, but this cannot quantify the impact of each HSCMEs.Practical implicationsDisaster relief aid agencies and stakeholders may focus on the enablers having high driving power and higher weight in designing and executing an effective and efficient humanitarian supply chain and to improve their activities and strategies of HSCM.Social implicationsThis research helps humanitarian logisticians and humanitarian organizations to make better decisions to improve their operational performance in pre and postdisaster phases.Originality/valueThis paper explores the application of proposed hybrid framework to analyze the HSCMEs that can be considered as the original contribution.


2019 ◽  
Vol 36 (7) ◽  
pp. 1053-1077 ◽  
Author(s):  
Binh An Thi Duong ◽  
Huy Quang Truong ◽  
Maria Sameiro ◽  
Paulo Sampaio ◽  
Ana Cristina Fernandes ◽  
...  

Purpose A single supply chain management (SCM) practice will have a certain impact on organizational performance (OP). However, since it is placed in a system that many other practices are conducted simultaneously, the practice itself will interact with other ones (i.e. affect/be affected). As a consequence, the efficiency of the affected practice is increased and it is expected to maximize the impact of SCM practices on OP. This mechanism is named the “resonant” influence that is a new approach in the SCM literature. The purpose of this paper is to test the above mechanism toward an insight into the relationship between SCM and OP. Design/methodology/approach Two models were compared: the competitive models only exist in direct effects; and the other contains relationships between practices that are able to show the mechanism of the resonant influence, i.e. the hypothetical model. A data set gained from Vietnamese garment enterprises was used to validate the mechanism of the resonant influence. Findings Empirical evidence from Vietnamese garment sector showed that the competitive models could explain 42.8, 26.3 and 34 percent variance of operational performance, customer satisfaction and financial performance, respectively. In the meantime, the hypothetical model containing the resonant influence is capable to explain 69.5, 33.1 and 57.3 percent. For the impact of each SCM practice on OP, all relationships in the hypothetical model are also greater than those in competitive ones. These results supported the mechanism of the resonant influence. Research limitations/implications This research provides an insight into the relationship between SCM practices and OP. By the resonant influence, the effectiveness of each affected SCM practice itself is magnified and OP is also increased remarkably. Practical implications Understanding the resonant influence, companies can apply this mechanism to enhance effectiveness of SCM practices at the lowest cost. To this end, the SCM practices should be implemented simultaneously as an integrated system rather than independent ones and the structural model proposed in this study is able to be used as “a guide map” for applying this mechanism. Originality/value This is one of pioneer empirical studies in the SCM literature that proposed and validated the concept of “resonant influence.”


2019 ◽  
Vol 25 (2) ◽  
pp. 241-254 ◽  
Author(s):  
Maciel M. Queiroz ◽  
Renato Telles ◽  
Silvia H. Bonilla

Purpose This paper aims to identify, analyse and organise the literature about blockchains in supply chain management (SCM) context (blockchain–SCM integration) and proposes an agenda for future research. This study aims to shed light on what the main current blockchain applications in SCM are, what the main disruptions and challenges are in SCM because of blockchain adoption and what the future of blockchains holds in SCM. Design/methodology/approach This study followed the systematic review approach to analyse and synthesise the extant literature on blockchain–SCM integration. The review analysed 27 papers between 2008 and 2018 in peer-reviewed journals. Findings Blockchain–SCM integration is still in its infancy. Scholars and practitioners are not fully aware of the potential of blockchain technology to disrupt traditional business models. However, the electric power industry seems to have a relatively mature understanding of blockchain–SCM integration, demonstrated by the use of smart contracts. Additionally, the disintermediation provided by blockchain applications has the potential to disrupt traditional industries (e.g. health care, transportation and retail). Research limitations/implications The limitations of this study are represented mainly by the scarcity of studies on blockchain–SCM integration in leading journals and databases. Practical implications This study highlights examples of blockchain–SCM integration, emphasising the need to rethink business models to incorporate blockchain technology. Originality/value This study is the first attempt to synthesise existing publications about the blockchain–SCM integration, shedding light on the disruption caused by, and the necessity of, the SCM reconfigurations.


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