Call for paper: Exploring supply chain structural dynamics: new disruptive technologies and disruption risks
Call for paper
Exploring supply chain structural dynamics: new disruptive technologies and disruption risks
Guest Editors: Alexandre Dolgui, Dmitry Ivanov
Supply chains are complex, dynamic network systems that evolve over time and change their structures (Gross et al. 2018). Supply chain structural dynamics theory studies changes in network design and topology and develops methods to manage and optimize the supply chain processes when experiencing structural changes (Ivanov et al. 2010, Ivanov 2018). Supply chain structural dynamics can be considered in light of both positive and negative changes, such as new disruptive technologies (e.g., blockchain) or disruption risks (e.g., natural disasters and the ripple effect (Dolgui et al. 2018)), respectively. For example, Industry 4.0 and additive manufacturing are driving changes in supply chain structural designs, i.e., the structures of supply chains are be adapted to new technology. Severe natural disasters may result in the temporary unavailability of some suppliers, or even of large supplier clusters. In such a case, the structural design of the supply chain is forced to change. In addition, sharing and circular economies are changing value chain structures. Thus both strategic structural transformations and operative, event-driven structural reconfigurations are being encountered more frequently. The management and optimization of structural dynamics plays a crucial role in determining a firm’s competitiveness in the markets.
This Special Issue seeks to attract new research in supply chain structural dynamics, considering disruptions in supply chains from both positive and negative perspectives. Examples of positive disruptive technologies and paradigms include:
- Blockchain and supply chain structural dynamics
- Industry 4.0 and supply chain structural dynamics
- Sharing and circular economy and supply chain structural dynamics
- Firm’s organizational transformation (e.g., mergers&acquisitions, industrial symbioses) and supply chain structural dynamics
- Digital technology innovation (e.g., cloud manufacturing platforms or supply chain visibility) and supply chain structural dynamics
- Sustainability and supply chain structural dynamics.
On the other hand, disruption risks cause negative changes in supply chain structural dynamics:
- Capacity disruptions and supply chain structural dynamics
- Disruption propagation (i.e., the ripple effect) and supply chain structural dynamics
- Resilience and supply chain structural dynamics
- Recovery and supply chain structural dynamics
- Proactive control and supply chain structural dynamics.
The development of a firm's competitive advantages strongly depends on adoption of new disruptive technologies, such as Industry 4.0, Blockchain, Internet of Things, development of supply chain sustainability, and increasing resilience in light of more and more frequent and severe disruption risks. As such, new research is needed to advance our understanding of the place, role, and impacts of new technologies in the further development of digital and resilient supply chains with efficient and sustainable resource utilization (Ivanov et al. 2018, Ivanov and Dolgui 2018).
This Special Issue intends to serve as an introduction to a focus topic on supply chain structural dynamics from a multi-methodological perspective. It seeks to collate and present recent research in the field. Papers representing a variety of methodologies and research paradigms, including, but not limited to, mainstream supply chain and operations management research, network theory, graph theory, control, dynamical systems theory, game theory, complex adaptive systems, optimization and simulation, surveys, and case-studies are of interest and equally welcome, including empirical, experimental, methodological, and theoretical analysis. Irrespective of the methodology utilized, the major criterion for acceptability is a paper's ability to convey new insights of methodological and managerial relevance or to provide innovative decision-making tools with (potential) practical applicability within the scope of supply chain structural dynamics.
Original and high-quality research fitting the SI's theme that is neither published nor currently under review by any other journal is welcome.
Manuscript preparation and submission
Before submission, authors should carefully read the journal's "Instructions for Authors". The review process will follow the journal's practice. Prospective authors should submit an electronic copy of their complete manuscript via the manuscript electronic submission system (EES) by selecting the article type "Exploring supply chain structural dynamics: new disruptive technologies and disruption risks" in the EES, according to the following time table:
Manuscript due 30 September 2019
First-round review 31 December 2019
Planned publication September 2020
For further enquiries, please contact any of the SI guest editors.
Guest editors:
Prof. Dr. Alexandre Dolgui
Head of Automation, Production and Computer Sciences Department
IMT Atlantique, LS2N, CNRS
La Chantrerie, 4, rue Alfred Kastler, 44300 Nantes, France
email: alexandre.dolgui@imt-atlantique.fr
Prof. Dr. Dmitry Ivanov
Professor of Supply Chain Management
Berlin School of Economics and Law
Badensche Str. 50
10825 Berlin, Germany
Email: divanov@hwr-berlin.de
References:
1. Gross T., MacCarthy B., Wildgoose N. (2018). Introduction to dynamics of manufacturing supply networks. Chaos 28(9):093111
2. Dolgui A., Ivanov D., Sokolov B. (2018). Ripple effect in the supply chain: An analysis and recent literature. International Journal of Production Research, Invited Special Issue 55th Volume Anniversary of IJPR, 56(1-2), 414-430.
3. Ivanov, D. (2018). Structural Dynamics and Resilience in Supply Chain Risk Management. Springer, New York
4. Ivanov, D., Sokolov B., Kaeschel J. (2010) A multi-structural framework for adaptive supply chain planning and operations control with structure dynamics considerations, European Journal of Operational Research, 200(2), 2010, pp. 409-420.
5. Ivanov D., Dolgui A., Sokolov B. (2018). The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics. International Journal of Production Research, https://doi.org/10.1080/00207543.2018.1488086.
征稿:探索供应链动态结构:新的颠覆性技术和破坏风险
Guest Editors: Alexandre Dolgui, Dmitry Ivanov
供应链是复杂的、动态的网络系统,并且其结构随着时间的推移而演变(Gross et al., 2018)。供应链结构动力学理论研究的是网络设计和拓扑结构的变化,并开发了在发生结构变化时管理和优化供应链过程的方法(Ivanov et al., 2010,; Ivanov, 2018)。供应链结构动态性有积极和消极两方面因素,积极体现在新的颠覆性技术(区块链),消极体现在中断风险(自然灾害及其连锁反应(Dolgui et al.,2018)),例如,工业4.0和增材制造正在推动供应链结构设计的变革,供应链的结构需要与新技术相适应。严重的自然灾害可能导致一些供应商暂时无法供货,甚至大型供应商集群也无法供货。在这种情况下,供应链的结构设计被迫改变。此外,共享经济和循环经济也正在改变价值链结构。因此,战略结构转换和可操作的、事件驱动的结构重构都更加频繁地发生。而结构动力学的管理和优化在决定公司在市场上的竞争力方面起着至关重要的作用。本特刊旨在吸引供应链结构动力学方面的新研究,从积极和消极两方面考虑供应链的中断。积极的颠覆性技术和范例包括:
•区块链和供应链结构动态
•工业4.0和供应链结构动态
•共享和循环经济以及供应链结构动态
•公司的组织转型(例如,兼并与收购,工业共生)和供应链结构动态
•数字技术创新(例如,云制造平台或供应链可视性)和供应链结构动态
•可持续性和供应链结构动态。
另一方面,破坏风险导致供应链结构动态的负面变化:
•容量中断和供应链结构动态
•中断传播(即涟漪效应)和供应链结构动态
•弹性和供应链结构动态
•恢复和供应链结构动态
•主动控制和供应链结构动态。
企业竞争优势的发展在很大程度上取决于采用新的颠覆性技术,如工业4.0,区块链,物联网,供应链可持续性的发展,以及由于越来越频繁和严重的中断风险而增加抵御能力。 因此,需要开展新的研究,以促进我们对新技术在数字和弹性供应链的进一步发展中的地位,作用和影响的理解,以及有效和可持续的资源利用(Ivanov et al., 2018; Ivanov and Dolgui, 2018)
本期特刊旨在从多方法论角度介绍供应链结构动态的重点主题。它旨在整理和介绍该领域的最新研究。论文代表了各种方法和研究范式,包括但不限于主流供应链和运营管理研究,网络理论,图论,控制,动力系统理论,博弈论,复杂适应系统,优化和模拟,调查和案例研究是值得关注和同样受欢迎的,包括经验,实验,方法和理论分析。无论采用何种方法,可接受性的主要标准是论文能够传达方法论和管理相关性的新见解或提供在供应链结构动态范围内具有(潜在)实用性的创新决策工具。
欢迎高质量的、未发表的、符合SI的主题的研究投稿
稿件准备和提交:
在提交之前,作者应仔细阅读期刊的“作者须知”。 审查过程将遵循期刊的惯例。 根据以下时间表,预期作者应通过手稿电子提交系统(EES)提交完整稿件的电子副本,方法是在EES中选择文章类型“探索供应链结构动态:新的破坏性技术和破坏风险”:
2019年9月30日截止收稿
第一轮审查2019年12月31日
2020年9月计划出版
如需进一步咨询,请联系任何SI客座编辑。
Guest editors:
Prof. Dr. Alexandre Dolgui
Head of Automation, Production and Computer Sciences Department
IMT Atlantique, LS2N, CNRS
La Chantrerie, 4, rue Alfred Kastler, 44300 Nantes, France
email: alexandre.dolgui@imt-atlantique.fr
Prof. Dr. Dmitry Ivanov
Professor of Supply Chain Management
Berlin School of Economics and Law
Badensche Str. 50
10825 Berlin, Germany
Email: divanov@hwr-berlin.de
References:
1. Gross T., MacCarthy B., Wildgoose N. (2018). Introduction to dynamics of manufacturing supply networks. Chaos 28(9):093111
2. Dolgui A., Ivanov D., Sokolov B. (2018). Ripple effect in the supply chain: An analysis and recent literature. International Journal of Production Research, Invited Special Issue 55th Volume Anniversary of IJPR, 56(1-2), 414-430.
3. Ivanov, D. (2018). Structural Dynamics and Resilience in Supply Chain Risk Management. Springer, New York
4. Ivanov, D., Sokolov B., Kaeschel J. (2010) A multi-structural framework for adaptive supply chain planning and operations control with structure dynamics considerations, European Journal of Operational Research, 200(2), 2010, pp. 409-420.
5. Ivanov D., Dolgui A., Sokolov B. (2018). The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics. International Journal of Production Research, https://doi.org/10.1080/00207543.2018.1488086.