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Special Issue "Supply Chain Resilience and Resilient Logistics Management"
A special issue of Logistics (ISSN 2305-6290).
Deadline for manuscript submissions: 30 April 2020.
Interests: supply-chain resilience; big data applications in transportation systems; risk analysis of supply chain systems; vulnerability assessment of logistics distribution; Industry 4.0 and digital supply chain; reliability engineering and risk analysis
In recent years, supply chains (SCs) have been more susceptible to a variety of disruptions, including natural disasters, human-made attacks, and common failures, because of the complexity of their structures, globalization issues, and the frequency of disruptions. Hence, many businesses are increasingly recognizing the importance of designing resilient and reliable SCs, with a high capability of withstanding and recovering rapidly from disruptive events. As the disturbances could affect the normal operations of an SC, resulting in delivery delays, loss of market share and reputation, and poor customer satisfaction, a resilient supply chain is critical to the success of an enterprise. After the Japanese Tsunami and earthquake in 2011, many automotive and electronics companies tried to practice resilient strategies for their SC and logistics systems. The concept of resilience in SCs is relatively new when compared with green and sustainability concepts. Several efforts have been devoted to define supply chain resilience (SCR) or to develop pre-disaster and post-disaster strategies in order to achieve a high level of resilience. However, there are several key questions remaining unanswered, namely: (i) how to quantify the resilience of SCs with respect to single and multiple disruptions, (ii) how to improve the resilience of SCs, (iii) how to simulate and measure the impact of disruption occurring upstream of SC on downstream entities, and (iv) how to identify the SC entities whose performances have had the highest impact of SC resilience and performance.
The purpose of this Special Issue is to fill the aforementioned gaps by focusing on measuring, analyzing, and improving the resilience of SCs and logistics systems.
Potential topics include, but are not limited to, the following:
- Evaluating resilient supplier and vendor selection problems
- Measuring the resilience of SC and logistics systems
- Resilience cost investment via pre-disruption and post-disruption activities
- Analyzing the impact of the SC structure on achieving a high-resilience level
- Recovery and repair strategies on resilient supply networks
- Developing quantitative models using quantitative methodologies (e.g., optimization, multi-criteria decision making methods, game theory, and simulation) to model resilient SCs and logistics
This Special Issue is open to various research methodologies, including qualitative (e.g., empirical studies) and quantitative (e.g., mathematical modeling, simulation, game theory, neural network, data mining, Bayesian network, machine learning, regression analysis, structural equations modeling, and data-driven analytics). The study can adopt any methodology that fits the research question. Some recent studies on SCR can be found in the bibliography of this call for papers.
- Hosseini, S., Ivanov, D., Dolgui, A. (2019). Review of quantitative methods for supply chain resilience analysis. Transportation Research Part E, 125: 285-307.
- Hosseini, S., Barker, K. (2016). A Bayesian network model for resilience-based supplier selection. International Journal of Production Economics, 180: 68-87.
- Hosseini, S., Barker, K. (2016). Modeling infrastructure resilience using Bayesian networks: A case study of inland waterway ports. Computers & Industrial Engineering, 93: 252-266.
- Hosseini, S., Al Khaled, A. (2019). A hybrid ensemble and AHP approach for resilient supplier selection. Journal of Intelligent Manufacturing, 30(1): 207-228.
- Lopez, C., Ishizaka, A. (2019). A hybrid FCM-AHP approach to predict impact of offshore outstanding location decision on supply chain resilience. Journal of Business Research, 103: 495-507.
- Hosseini, S., Morshedlou, N., Ivanov, D., Sarder, MD, Barker, K. (2019). Resilient supplier selection and optimal order allocation under disruption risks. International Journal of Production Economics, 213: 124-137.
- Jun Tan, W., Zhang, A.N., Cai, W. (2019). A graph-based model to measure structural redundancy for supply chain resilience. International Journal of Production Research.
- Ivanov, D. (2017). Revealing interfaces of supply chain resilience and sustainability: a simulation study. International Journal of Production Research, 56(10): 3507-3523.
- Hosseini, S., Ivanov, D., Dolgui, A. (2019). Ripple effect modeling of supplier disruption: integrated Markov chain and dynamic Bayesian network approach. International Journal of Production Research.
Deadline: April 30, 2020
Dr. Mohsen Hosseini
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Logistics is an international peer-reviewed open access quarterly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- Supply chain resilience
- resilient supplier selection
- supply disruption
- supply chain risk
- resilient logistics
- resilient supply chain design
- logistics disruption