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Call for Papers - Special Issues We are planning several special issues and you are welcome to contribute to any of them. Cancelled Call for Papers – Special Issue on "Supply Chain Disruption Risk Investigation and Resilience Improvement Strategies under New Circumstances" Guest Editors: Xiaoyang Zhou, Xi’an Jiaotong University, China, zhouxiaoyang@xjtu.edu.cn  Zhong-Zhong Jiang, Northeastern University, China, zzjiang@mail.neu.edu.cn Benjamin Lev, Drexel University, USA, bl355@drexel.edu Aims and Scope In the context of the contemporary highly interconnected and globalized economy, supply chains serve as the backbone of production and distribution networks in all sectors^[1,2]. However, the global supply chain formed in the past three decades is facing fundamental restructuring and historic changes due to factors such as big-power politics, geopolitical tensions, and pandemics^[3]. These disruptions not only threaten the continuity of supply chain operations, but also have cascading effects on global markets and overall economic stability. Supply chain disruption risks can be defined as the subset of all supply chain risks with potential consequences that impede the supply chain at least temporarily of achieving its operational goals and/or jeopardize the existence of one or more supply chain partners^[4]. In the context of the global supply chain, the disruptions evolved over enterprises located in different countries or districts, leading to more profound effects on the global supply chain and world economy^[2,5]. As a result, managing supply chain disruption risk and maintaining a resilient supply chain under new circumstances has beccome a common concern for both academic research and practical implementation in the business world. In essence, supply chain resilience refers to the ability of a supply chain to quickly restore its normal functions following unexpected events and continue operating effectively in a new environment^[6]. It enables stakeholders to anticipate, absorb, and recover from disruptions effectively, thereby safeguarding their competitive advantage and ensuring long-term sustainability^[7]. Recent developments in the literature, particularly in the fields of management science (MS) and operations research (OR), have highlighted the need for better theorization in the assessment of supply chain disruption risks, analysis of risk propagation, strategies for ex ante and ex post risk management, and methods of supply chain resilience improvement^[8,9]. However, existing research lags significantly behind practical needs. Therefore, there is an urgent need to explore methods for investigating and responding to global supply chain disruption risk under new circumstances, in order to deepen the understanding of the theoretical foundation of supply chain risk management.  This special issue aims to attract the latest research on the supply chain disruption risk analysis and resilience improvement strategy, leading to an exploration of several crucial research domains using different MS/OR methodologies. All submissions must have clear managerial contributions and be built on rigorous research methods. In particular, the following research directions are in the scope of this Special Issue: Supply chain risk propagation analysis based on complex network Economic shock of supply chain risk Data-driven supply chain resilience assessment Resilient supply chain network Financial tools for supply chain risk mitigation Supply chain risk prevention and resolution Operational strategies for supply chain risk mitigation Multi-source risk supply chain early warning mechanisms Supply chain risk and industry security International logistics resilience under disruptive influences We expect novel and innovative papers in the areas that include but are not limited to the above. Any new models, theories and methods related to supply chain resilience fit the mission. To prepare their manuscript, authors should closely follow the “Guide for Authors” of Omega - The International Journal of Management Science. Authors should submit their paper via the OMEGA online submission and editorial system at https://www.journals.elsevier.com/omega and select “Special Issue: Supply chain disruption risk investigation and resilience improvement strategies under new circumstances” as the “Article Type”. Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere. Manuscripts will be strictly refereed based on the standards of Omega - The International Journal of Management Science. Publication Schedule The submission deadline: 2025/07/31 The final decision notification: 2025/12/31 Publication date (tentative): 2026/03/31 References [1] Inoue H., & Todo Y. (2019). Firm-level propagation of shocks through supply-chain networks. Nature Sustainability, 2(9), 841-847. [2] Chakraborty A., Reisch T., Diem C., Astudillo-Estévez P., & Thurner S. (2024). Inequality in economic shock exposures across the global firm-level supply network. Nature Communications, 15(1), 3348. [3] Feng P., Zhou X., Zhang D., Chen Z., & Wang S. (2022). The impact of trade policy on global supply chain network equilibrium: A new perspective of product-market chain competition. Omega, 109, 102612. [4] Heckmann I., Comes T., & Nickel S. (2015). A critical review on supply chain risk–Definition, measure and modeling. Omega, 52, 119-132. [5] Zhou X., Sun J., Fu H., Ge F., Wu J., & Lev B. (2024). Resilience analysis of the integrated China-Europe freight transportation network under heterogeneous demands. Transportation Research Part A: Policy and Practice, 186, 104130. [6] Sawik T. (2022). Stochastic optimization of supply chain resilience under ripple effect: A COVID-19 pandemic related study. Omega, 109, 102596. [7] Liu M., Ding Y., Chu F., Dolgui A., & Zheng F. (2023). Robust actions for improving supply chain resilience and viability. Omega, 123, 102972. [8] Gao S. Y., Simchi-Levi D., Teo C. P., & Yan Z. (2019). Disruption risk mitigation in supply chains: the risk exposure index revisited. Operations Research, 67(3): 831-852. [9] Jiang Z.-Z., Zhao J., Sun M. (2024). Joint optimization of order picking and delivery in ergonomic picking systems with due dates for sustainability and resilience. Transportation Research Part E: Logistics and Transportation Review, 191, 103727. Cancelled Call for Papers – Special Issue on “Multi-period Decision-Making with AI Synergy” Guest editors: Xiang Li, Chang’an University, China. lixiangbuct@163.com Ziyan Feng, Beijing University of Chemical Technology, China. fengzy@buct.edu.cn Aims and Scope This special issue aims to attract state-of-the-art research and practical applications of multi-period decision-making through artificial intelligence (AI) synergy, exploring several crucial research domains (transportation, logistics, manufacturing, supply chain, healthcare, energy, finance, investment, for instance) using different AI synergy methodologies to reduce uncertainty related to future periods and address the computational challenges inherent in solving multi-period optimization problems. Special issue information: Multi-period decision-making spans many domains, including production planning, inventory management, manufacturing, supply chain, transportation, logistics, healthcare, and energy management. These problems are characterized by periodicity, involving multiple periods with similar problem structures, as well as state transitions between periods—such as inventory levels in production planning. As such, decisions made in the current period have a direct impact on future states. Conversely, future information also significantly influences current decisions. Without considering future insights, decision-makers may resort to greedy strategies that could deviate from global optimality. Moreover, rapid developments in international relations, economic factors, and urban dynamics introduce increasing complexity and uncertainty into decisions, complicating efforts to accurately obtain future information. Therefore, the primary challenges in multi-period decision-making arise from two aspects: the uncertainty surrounding future information and the heightened difficulty in solving multi-period optimization problems. This special issue aims to explore the synergistic role of AI in reducing future information uncertainty and improving problem-solving efficiency throughout the multi-period decision-making process. By integrating machine learning, reinforcement learning, and advanced optimization techniques, organizations can make more accurate and forward-looking decisions at multiple periods, thereby enhancing their flexibility and adaptability. As AI technologies continue to advance rapidly, investigating their potential applications in long-term decision-making will yield new insights for both academia and practice. Directions and content of research expected in this Special Issue: 1. AI-Driven Predictive Modeling––Investigate how AI can process large datasets and recognize complex patterns to enhance the accuracy of predicting future trends, thereby supporting multi-period decision-making. 2. Prediction & Optimization Paradigm––Develop the integrated paradigm for prediction and optimization in multi-period decision problems, aiming to minimize decision errors, rather than prediction errors. 3. AI Synergy for Improving Problem Solving––Investigate algorithms that integrate AI to enhance efficiency in solving multi-period decision-making problems and ensure effective implementation in real-world production scenarios. 4. Real-Time Decision-Making––Combine AI capacity to analyze real-time data with optimization’s ability to generate efficient solutions (e.g., approximate dynamic optimization algorithm, reinforcement learning) for multi-period decision-making, particularly in dynamic and rapidly changing environments. 5. Multi-Period Decomposition Approach––Develop AI-based decision support tools (e.g., decision support systems, rolling horizon approach) to simplify the complexity of multi-period decision problems to enhance managers’ decision-making capabilities. 6. Case Studies and Empirical Analysis––Conduct empirical case studies to examine how organizations successfully implement AI technologies to optimize multi-period decision-making processes. Manuscript submission information: The Journal’s submission system is open for submissions to our Special Issue. When submitting your manuscript please select the article type “VSI: Multi-period Decision-Making with AI Synergy”. Please submit your manuscript before 30^thJune 2025. The submission link is: https://www.editorialmanager.com/Omega/default.aspx All submissions deemed suitable to be sent for peer review will be reviewed by at least two independent reviewers. Once your manuscript is accepted, it will go into production and will be simultaneously published in the current regular issue and pulled into the online Special Issue. Articles from this Special Issue will appear in different regular issues of the journal, though they will be marked and branded as Special Issue articles. Papers submitted to the Special Issue will be subjected to the rigorous review process of OMEGA. Please see an example here: https://www.sciencedirect.com/journal/omega Please ensure you read the Guide for Authors before writing your manuscript. The Guide for Authors and link to submit your manuscript is available on the Journal’s homepage at: https://www.sciencedirect.com/journal/omega/publish/guide-for-authors Suggested Schedule - Important Dates Submission deadline: 30^th June 2025 First decision notification: 31^st August 2025 Final decision notification: 31^st December 2025 Expected publication year (tentative): 2026 Inquiries, including questions about appropriate topics, may be sent electronically to Xiang Li (lixiangbuct@163.com), Ziyan Feng (fengzy@buct.edu.cn) A Special Issue on “Supply Chain Viability in the post-COVID era” Guest Editors Dmitry Ivanov, Berlin School of Economics & Law, Germany, dmitry.ivanov@hwr-berlin.de Yan Tu, Wuhan University of Technology, China, tuyan_belle@163.com The Special Issue Appeared A Special Issue on “Production and Service Operations Management in Digital Economy Research from China (This special issue is in honor of Professor Benjamin Lev for his long service to OMEGA)" Guest Editors (listed alphabetically) Zhong-Zhong Jiang, Northeastern University, China, zzjiang@mail.neu.edu.cn Liming Yao, Sichuan University, China, lmyao@scu.edu.cn Xiaoyang Zhou, Xi’an Jiaotong University, China, x.y.zhou@foxmail.com . The Special Issue Appeared A Special Issue on “Intelligent Decision analysis based on online data” Guest Editors Huchang Liao, Business School, Sichuan University. liaohuchang@163.com Luis C. Dias, University of Coimbra, CeBER and Faculty of Economics. lmcdias@fe.uc.pt. The Special Issue Appeared A Special Issue on “Post-pandemic Adaptation and Viability of Supply Chains” Guest Editors Dmitry Ivanov, Berlin School of Economics and Law /Hochschule für Wirtschaft und Recht Berlin, divanov@hwr-berlin.de (corresponding editor) Burcu B. Keskin, The University of Alabama, bkeskin@cba.ua.edu The Special Issue Appeared A Special Issue on “Decision Making based on Big Data” Guest Editors Yi Liao, Southwestern University of Finance and Economics, yiliao@swufe.edu.cn (corresponding editor) Joe Zhu, Worcester Polytechnic Institute, jzhu@wpi.edu Gang Kou, Southwestern University of Finance and Economics, kougang@swufe.edu.cn The Special Issue Appeared A Special Issue on “Finance-Operations Interface Mechanisms and Models” Guest Editors Desheng Dash Wu, Stockholm University, and University of Chinese Academy of Sciences, dash.wu@gmail.com David L. Olson, University of Nebraska, dolson3@unl.edu Shouyang Wang, Chinese Academy of Sciences, sywang@amss.ac.cn The Special Issue appeared Volume 88. A Special Issue on “Human judgment in supply chain forecasting and multi-tier operations” Guest Editors Behnam Fahimnia, The University of Sydney Business School, Australia behnam.fahimnia@sydney.edu.au Nada Sanders, Northeastern University, USA  n.sanders@neu.edu Enno Siemsen, Wisconsin School of Business, University of Wisconsin-Madison, USA esiemsen@wisc.edu The Special Issue appeared Volume 87. A Special Issue on “Customized Assembly Systems” Guest Editors Olga Battaïa, ISAE-SUPAERO, France olga.battaia@isae.fr Alena Otto, University of Siegen, Germany alena.otto@uni-siegen.de  Erwin Pesch, University of Siegen, Germany erwin.pesch@uni-siegen.de Fabio Sgarbossa, University of Padua, Italy  fabio.sgarbossa@unipd.it The Special Issue appeared Volume 78. A Special Issue on “New Research Frontiers in Sustainability” Guest Editors Chialin Chen, Queen’s University, Canada cchen@business.queensu.ca Sean Zhou, Chinese University of Hong Kong, Hong Kong, China zhoux@baf.cuhk.edu.hk Joe Zhu, Worcester Polytechnic Institute, USA jzhu@wpi.edu The Special Issue appeared Volume 66 Par B. A Special Issue on “Network-DEA in the Service Sector” Guest Editors Necmi Kemal Avkiran, The University of Queensland, UQ Business School, Brisbane, Australia, n.avkiran@business.uq.edu.au Kaoru Tone, National Graduate Institute for Policy Studies, Tokyo, Japan, tone@grips.ac.jp The Special Issue appeared Volume 60. A Special Issue on “Business Analytics” Guest Editors Michael Doumpos Technical University of Crete, Greece mdoumpos@dpem.tuc.gr Constantin Zopounidis Technical University of Crete, Greece & Audencia School of Management, France kostas@dpem.tuc.gr The Special Issue appeared Volume 59, Part A. A Special Issue on “Decision Making in Enterprise Risk Management (ERM)” Guest Editors Desheng Dash Wu, University of Toronto, Canada, dwu@fields.utoronto.ca Alexandre Dolgui, Ecole des Mines de Saint-Etienne, France, alexandre.dolgui@mines-stetienne.fr David L. Olson, University of Nebraska, USA, Dolson3@unl.edu The Special Issue appeared Volume 57, Part A. A Special Issue on "Management Science and Environmental Issues” Guest Editors Chiang Kao, National Cheng Kung University, Taiwan, ckao@mail.ncku.edu.tw Hsihui Chang, Drexel University, USA, hc336@drexel.edu Rong-Ruey Duh, National Taiwan University, Taiwan, rrduh@management.ntu.edu.tw The Special Issue appeared Volume 41, Issue 2. A Special Issue on "Data Envelopment Analysis: The Research Frontier- This Special Issue is dedicated to the memory of William W. Cooper 1914-2012” Guest Editors Wade D. Cook, York University, Canada, wcook@schulich.yorku.ca Lawrence M. Seiford, University of Michigan, USA, seiford@umich.edu Joe Zhu, Worcester Polytechnic Institute, USA, jzhu@wpi.edu The Special Issue appeared Volume 41, Issue 1. A Special Issue on "Forecasting In Management Science” Guest Editors John E. Boylan, Buckinghamshire New University, UK john.boylan@bucks.ac.uk Aris A. Syntetos, University of Salford, UK a.syntetos@salford.ac.uk The Special Issue appeared Volume 40, Issue 6. A Special Issue on "Empirical Research in the EU Banking Sector" Guest Editors Fotios Pasiouras, University of Bath, UK f.pasiouras@bath.ac.uk Constantin Zopounidis, Technical University of Crete, Greece kostas@dpem.tuc.gr The Special Issue appeared Volume 38, Issue 5. A Special Issue on "Ethics and Operations Research" Guest Editors Marc Le Menestrel, marc.lemenestrel@upf.edu Luk N. Van Wassenhove,  luk.van-wassenhove@insead.edu The Special Issue appeared Volume 37, Issue 6. A Special Issue on "Role of Flexibility in Supply Chain Design and Modeling" Guest Editor Charu Chandra, charu@umich.edu Associate Guest Editor Janis Grabis, grabis@itl.rtu.lv The Special Issue appeared Volume 37, Issue 4. A Special Issue on “Management Science Research in China: A Special Issue Dedicated to the 2008 Beijing Olympic Games” Guest Editor Joe Zhu, jzhu@wpi.edu The Special Issue appeared Volume 36, Issue 6. A Special issue on "Logistics: New Perspectives and Challenges" Guest Editors Angappa Gunasekaran, agunasekaran@umassd.edu T. C. Edwin Cheng, lgtcheng@polyu.edu.hk The Special Issue appeared Volume 36, Issue 4. A Special issue on "Multiple Criteria Decision Making for Engineering" Guest Editors Margaret M. Wiecek, wmalgor@clemson.edu Matthias Ehrgott, m.ehrgott@auckland.ac.nz Georges Fadel, fgeorge@clemson.edu José Rui Figueira, figueira@ist.utl.pt The Special Issue appeared Volume 36, Issue 3. A Special issue on "Knowledge Management and Organizational Learning" Guest Editor William R. King, billking@katz.pitt.edu Associate Guest Editors T. Rachel Chung, rachel.chung@gmail.com Mark H. Haney, mhaney@katz.pitt.edu The Special Issue appeared Volume 36, Issue 2. Cluster Papers from INFORMS Conference in Atlanta October 2003 Guest Editors Donna C. Llewellyn, donna.llewellyn@cetl.gatech.edu Paul Griffin, pgriffin@isye.gatech.edu The Special Issue Section appeared Volume 36, Issue 1. A Special issue on "Telecommunications Applications" Guest Editors Rina Schneur, rina.schneur@verizon.com Hui Liu, hui.liu@verizon.com The Special Issue appeared Volume 35, Issue 6. A Special issue on "Reverse Production Systems: Disassembly and other Reverse Manufacturing related practices" Guest Editor B. Adenso-Diaz,  ADENSO@epsig.uniovi.es The Special Issue appeared Volume 34, Issue 6. A Special Issue on selected papers from APORS Conference in New Delhi, India, December 2003 Guest Editor M.C. Puri, mcpuri@maths.iitd.ernet.in The Special Issue appeared Volume 33, Issue 5.