Article
Computer Science, Interdisciplinary Applications
Seyed Mohammad Gholami-Zanjani, Mohammad Saeed Jabalameli, Mir Saman Pishvaee
Summary: A novel bi-objective stochastic model is developed in this research for meat inventory planning, with two resiliency strategies embedded. The results indicate that resilient solutions can improve network performance and are sensitive to throughput capacity and lead-time. Trade-off interactions between the objectives provide managerial insights.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Engineering, Industrial
Shanshan Li, Yong He, Stefan Minner
Summary: This study explores alternative measures for dealing with supply disruptions in a make-to-order supply chain, focusing on optimizing the response strategies. Analytical guidance on dynamically adjusting sourcing quantity, compensation pricing, and inventory consumption speed is provided. The research suggests that pure strategies are effective for short-term shortages, while combined strategies are more suitable for long-term disruptions.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2021)
Article
Management
Jingyan Li, Yunbing Li, Bingjing Li, Xiang Ji
Summary: This paper conducts an analytical game-theoretical study to investigate the optimal purchasing strategy of manufacturers and suppliers in a supply chain under supply disruptions and competition.
INTERNATIONAL JOURNAL OF LOGISTICS-RESEARCH AND APPLICATIONS
(2023)
Article
Engineering, Industrial
Jafar Namdar, S. Ali Torabi, Navid Sahebjamnia, Ninad Nilkanth Pradhan
Summary: This paper proposes a novel framework for designing a resilient supply chain network to address operational and disruption risks. The framework includes quantifying the resilience score of facilities, identifying critical processes and business continuity metrics, and designing a multi-echelon, multi-product supply chain network model. The model aims to incorporate risk attitudes into the design process and provides useful managerial insights through sensitivity analyses on hypothetical disruptions and risk attitudes.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2021)
Article
Engineering, Manufacturing
Awi Federgruen, Zhe Liu, Lijian Lu
Summary: We study a finite horizon, single product, periodic review inventory system with two supply sources and a salvage option. We analyze the optimal procurement strategy and capacity configuration based on different lead times and two-part capacity contracts. Our results provide insights into effective heuristics and upper and lower bounds for general lead time combinations.
PRODUCTION AND OPERATIONS MANAGEMENT
(2022)
Article
Engineering, Industrial
Keivan Tafakkori, Fariborz Jolai, Reza Tavakkoli-Moghaddam
Summary: This paper presents decentralized capacity planning models for different types of supply chain entities, aiming to enhance their resilience. Novel resilience metrics are developed to measure the proximity of capacities to disruptions, and optimization models are used to select business continuity plans that maximize resilience and cost-efficiency. Uncertainties associated with recovery time and disruptions are addressed using a robust-stochastic optimization method, and disruption scenarios are simulated using a discrete-time Markov chain. Computational tests confirm the robustness, validity, and generality of the proposed models.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Editorial Material
Engineering, Industrial
Alexandre Dolgui, Dmitry Ivanov
Summary: The ripple effect is a specific area in supply chains that has a strong impact on supply chain resilience. Research shows how disruptive events spread through the supply chain and affect its resilience and performance. In recent years, research on ripple effect management, modeling, and assessment has gained significant interest.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2021)
Article
Computer Science, Artificial Intelligence
Honghua Shi, Yaodong Ni
Summary: This paper focuses on the problems faced by supply chain resilience design and proposes two uncertain programming models to address the risks in the supply chain. By controlling costs and handling uncertainty, these models can help make better decisions. The proposed models are validated through examples and a practical case, demonstrating their effectiveness and feasibility.
Article
Computer Science, Interdisciplinary Applications
Farhad Habibi, Ripon Kumar Chakrabortty, Alireza Abbasi
Summary: In the face of disruptions in global supply chains, a comprehensive framework for evaluating supply chain resilience is crucial. Existing techniques have limitations and fail to consider the ripple effect, resulting in biased assessments. This study proposes a comprehensive evaluation scheme that introduces six metrics to assess different capacities of resilience and validates its applicability on real-world supply chain networks.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Green & Sustainable Science & Technology
Lida Safari, Seyed Jafar Sadjadi, Farzad Movahedi Sobhani
Summary: This paper addresses the issue of resilient sustainable supply chain design and planning under supply disruption risk. A multi-objective robust model is developed to solve the problem, considering various decisions related to supply chain design and planning. The proposed resilience strategies are found to be efficient in mitigating supply disruptions and maintaining supply chain sustainability.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2023)
Article
Engineering, Industrial
Olatunde A. Durowoju, Hing Kai Chan, Xiaojun Wang, Temidayo Akenroye
Summary: Supply chain reconfiguration decisions have traditionally been driven by operational risk, while simplification and networking strategies have been shown to improve financial performance. However, the impact of information security breaches on these strategies remains unclear. This study found that the effects of security breaches on simplification and risk pooling strategies varied under different order replenishment systems.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2021)
Review
Transportation
Rajali Maharjan, Hironori Kato
Summary: This study provides a comprehensive review of recent literature on resilient supply chain network design (RSCND), exploring and analyzing different resilience measures used in the literature and the benefits of incorporating them in supply chain network design. Although only a limited number of studies were found, this topic has great potential for future research.
Article
Engineering, Multidisciplinary
Meimei Zheng, Ningxin Du, Hui Zhao, Edward Huang, Kan Wu
Summary: In response to the increasing competition in the pharmaceutical industry, this study focuses on improving the efficiency of clinical trial supply chains to reduce drug supplying costs. The research investigates inventory levels and allocation problems, proposing a stochastic mixed-integer model and algorithm for optimization. Several structural results and strategies are derived to enhance the effectiveness of the process.
APPLIED MATHEMATICAL MODELLING
(2021)
Article
Computer Science, Interdisciplinary Applications
Ghulam Hussain, Mian Sajid Nazir, Muhammad Amir Rashid, Maheen Abdul Sattar
Summary: This study explores the direct and indirect effects of supply chain resilience enablers on supply chain disruption orientation, as well as the moderating role of supply chain complexity. The findings suggest that supply chain resilience significantly mediates the relationship between resilience enablers and disruption orientation, with supply chain complexity positively moderating this relationship. The study contributes to the understanding of how firms can build resilient supply chain systems to recover from disruptions and strengthen response management systems.
JOURNAL OF ENTERPRISE INFORMATION MANAGEMENT
(2023)
Article
Engineering, Manufacturing
Lezhen Wu, Xiaole Wu, Yu Zhou
Summary: This paper investigates the impact of supply disruption risk on inventory decisions and commitment strategies in a two-period supply chain model. The results show that supply risk affects the retailer's inventory holding motivations, with price commitment suppressing inventory holding motivations and inventory commitment suppressing inventory shifting motivations. Additionally, under high cost and risk, only the manufacturer holds inventory, while the retailer does not hold inventory under price commitment.
PRODUCTION AND OPERATIONS MANAGEMENT
(2023)
Article
Operations Research & Management Science
Ioannis Mallidis, Dimitrios Vlachos, Volha Yakavenka, Zafeiriou Eleni
ANNALS OF OPERATIONS RESEARCH
(2020)
Article
Green & Sustainable Science & Technology
Dimitrios Bechtsis, Naoum Tsolakis, Dimitrios Vlachos, Jagjit Singh Srai
JOURNAL OF CLEANER PRODUCTION
(2018)
Article
Green & Sustainable Science & Technology
Eirini Aivazidou, Naoum Tsolakis, Dimitrios Vlachos, Eleftherios Iakovou
JOURNAL OF CLEANER PRODUCTION
(2018)
Article
Operations Research & Management Science
I. Mallidis, S. Despoudi, R. Dekker, E. Iakovou, D. Vlachos
ANNALS OF OPERATIONS RESEARCH
(2020)
Article
Engineering, Industrial
Konstantinos Tziantopoulos, Naoum Tsolakis, Dimitrios Vlachos, Loukas Tsironis
PRODUCTION PLANNING & CONTROL
(2019)
Article
Operations Research & Management Science
Volha Yakavenka, Ioannis Mallidis, Dimitrios Vlachos, Eleftherios Iakovou, Zafeiriou Eleni
ANNALS OF OPERATIONS RESEARCH
(2020)
Article
Engineering, Civil
Georgia Aifadopoulou, Ioannis Mallidis, Dimitrios Vlachos, Josep Maria Salanova Grau, Eleftherios Iakovou
TRANSPORTATION RESEARCH RECORD
(2020)
Article
Operations Research & Management Science
Ioannis Mallidis, Nikolaos Sariannidis, Dimitrios Vlachos, Volha Yakavenka, Georgia Aifadopoulou, Konstantinos Zopounidis
Summary: We developed and applied a socially responsible inventory model to determine the optimal order quantity and donation timing. The results showed that implementing the proposed donation policy could potentially lead to significantly higher profits compared to the non-donation policy and the naive policy.
OPERATIONAL RESEARCH
(2022)
Article
Green & Sustainable Science & Technology
Christina Paraskevopoulou, Alexandros Theodoridis, Marion Johnson, Athanasios Ragkos, Lisa Arguile, Laurence Smith, Dimitrios Vlachos, Georgios Arsenos
Article
Engineering, Industrial
Dimitrios Bechtsis, Naoum Tsolakis, Eleftherios Iakovou, Dimitrios Vlachos
Summary: The exposure of global supply chains to severe disruptions highlights the need for novel data-driven risk management paradigms to support supply chain security, resilience, and sustainability. The proposed generalized framework addresses identified challenges and gaps in literature, validated through a real-world case study in the organic food supply chain, emphasizing the importance of data-driven digital technologies for supply chain security and sustainability.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2022)
Article
Green & Sustainable Science & Technology
Vasileios Sidiropoulos, Dimitrios Bechtsis, Dimitrios Vlachos
Summary: Augmented Reality (AR) plays a crucial role in Industry 4.0 and Logistics 4.0, but practitioners are hesitant to adopt AR applications in industrial operations. A proposed research introduces an innovative architecture for a stable and scalable AR application, aiming to integrate AR technology into a sustainable business strategy framework.
Article
Engineering, Industrial
Christina Paraskevopoulou, Dimitrios Vlachos, Dimitrios Bechtsis, Naoum Tsolakis
Summary: This research assesses the added value of Circular Economy (CE) in the industrialized production of canned peaches in Greece by utilizing the peach kernel. It compares four different scenarios and finds that the combination of biomass energy and peach oil production is the most beneficial, resulting in increased profit margin and reduced CO2 emissions. It also highlights the potential of peach oil production as a viable investment for industries without capital for biomass plants, and the positive impact on farmers' income.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2022)
Article
Green & Sustainable Science & Technology
Eirini Aivazidou, Dimitrios Aidonis, Naoum Tsolakis, Charisios Achillas, Dimitrios Vlachos
Summary: This study integrates the perspective of freshwater resources into supply network configuration and develops a model to minimize operational costs in a wine supply chain network under a water footprint cap. The optimization outcomes show that the configurations of the wine network vary significantly depending on the values of the water footprint cap.
Proceedings Paper
Computer Science, Interdisciplinary Applications
Dimitrios Bechtsis, Naoum Tsolakis, Apostolos Bizakis, Dimitrios Vlachos
29TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING, PT B
(2019)
Proceedings Paper
Engineering, Environmental
Dimitrios Poulimenos, Dimitrios Bechtsis, Dimitrios Vlachos, Eleftherios Iakovou
28TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING
(2018)