Ginger Ke, Memorial University of Newfoundland

Yong Lin, University of Birmingham

Peter Shi, Macquarie University

Feng Tao, Soochow University

Safe handling of hazardous chemicals presents a complex operational challenge across production and logistics systems, requiring integrated decision-making across scheduling, storage, facility location, transport, and recovery processes. Current academic research remains fragmented, addressing single functions in isolation rather than the coordinated system-wide approach needed to meet regulatory requirements and operational realities.

This special issue seeks original research that develops rigorous decision models for hazardous-chemical operations, integrating optimization, simulation, and data-driven methods with practical domain knowledge. The work should bridge operations research, production engineering, logistics management, and safety science to advance both theoretical foundations and practical capabilities for safer, more efficient and sustainable hazardous-chemical operations.

Appel publié par International Journal of Production Research. Voir l'appel sur le site de l'éditeur. Fiche de l'appel sur kerostig.

Potential topics

• Integrated Production Planning and Hazardous Chemical Management under Safety Constraints
• Robust Storage and Inventory Control for Hazardous Chemicals under Uncertainty
• Intelligent Optimization of Hazardous Chemical Logistics Networks and Transportation Scheduling
• Road Transport Routing and Distribution Optimization for Hazardous Materials with Dynamic Risk
• Safe Disposal and Resource Utilization of Hazardous Chemical Waste in Circular Systems
• Multi-Objective Decision Analytics Balancing Efficiency, Safety, and Sustainability
• Data-Driven Risk Prediction and Real-Time Coordination in Hazardous Chemical Supply Chains
• Emergency Response and Disruption Recovery in Hazardous Chemicals Management Systems
• Game-Theoretic and Incentive Mechanisms for Multi-Stakeholder Hazardous Material Operations
• Policy-Regulated Decision Models for Safe and Circular Hazardous Chemical Management

Timeline

• December 1, 2026: Open for Submissions
• October 31, 2027: Submission Deadline

This is a special joint initiative between the British Journal of Management and the International Journal of Operations & Production Management, focusing on how organisations and supply chains are being reshaped in response to interconnected polycrisis challenges involving climate, geopolitical, economic, and technological shocks.

Appel publié par British Journal of Management. Voir l'appel sur le site de l'éditeur. Fiche de l'appel sur kerostig.

Timeline

• November 1, 2026: Paper submission window opens
• January 31, 2027: Paper submission window closes

Andrea Flori, Politecnico di Milano

Anna Maria Gambaro, Università del Piemonte Orientale

Ioannis Kyriakou, University of London

Duc Khuong Nguyen, EMLV Business School

Climate-related operational risks pose significant threats to financial and economic systems, particularly as economies transition toward low-carbon models. The timing and pace of this transition create substantial uncertainties, especially for carbon-intensive firms that must balance profitability with decarbonization goals. Vulnerabilities extend through interconnected global supply chains where disruptions propagate indirectly, amplifying operational and systemic risks across multiple tiers.

Financial markets increasingly transmit climate-related risks through asset prices, volatility, and liquidity shocks, potentially triggering market instability through supply chain relationships. This special issue addresses the gap in understanding how climate and environmental risks propagate through financial and economic systems, seeking contributions that employ robust stochastic optimization, machine learning, and advanced forecasting methods to inform portfolio allocation and risk management decisions in the face of evolving climate regulations and transition uncertainties.

Appel publié par Annals of Operations Research. Voir l'appel sur le site de l'éditeur. Fiche de l'appel sur kerostig.

Potential topics

• Robust stochastic optimization methods for climate transition risks
• Portfolio optimization and risk-adjusted return modelling under climate policy uncertainty
• Credit and counterparty risk assessment under low-carbon transition scenarios
• Risk-sharing mechanisms and insurance models for climate-related disruptions
• Supply chain risk management in climate transition
• Operational decision-making in emission trading schemes and carbon pricing
• Predictive modelling of carbon stranding risk via supervised learning
• Machine learning and big data analytics for climate risk scenario classification
• Natural language processing applications in climate policy risk analysis
• Bayesian network approaches to modelling climate transition risk propagation
• Agent-based models of climate transition dynamics and systemic effects

Timeline

• December 31, 2026: Submission deadline

Appel publié par Journal of Environmental Management. Voir l'appel sur le site de l'éditeur. Fiche de l'appel sur kerostig.

Timeline

• January 31, 2027: Submission deadline

Hyun-Jung Kim, KAIST

Shu-Kai Fan, National Taipei University of Technology

Fugee Tsung, Hong Kong University of Science and Technology

Thomas Volling, Technical University Berlin

Jang Ho Kim, Korea University

Dong-Young Lim, Ulsan National Institute of Science and Technology

This special issue addresses decision-making in complex industrial systems facing dynamic uncertainty through artificial intelligence and optimization techniques. The issue seeks research combining AI methods such as reinforcement learning, generative AI, and digital twins with operations research and optimization approaches to manage manufacturing, supply chains, healthcare, and other sectors dealing with demand fluctuations and disruptions.

The special issue welcomes both theoretical and practical contributions demonstrating how AI-driven methodologies can improve decision-making under uncertainty. Particular emphasis is placed on interdisciplinary research with clear industrial applicability and the adoption of open science practices including data and code sharing to enhance reproducibility.

Appel publié par International Journal of Production Research. Voir l'appel sur le site de l'éditeur. Fiche de l'appel sur kerostig.

Potential topics

• AI-driven decision-making under uncertainty
• Production planning and scheduling in stochastic and dynamic environments
• Reinforcement learning for uncertain industrial systems
• Stochastic optimization and robust operational strategies
• AI-enabled statistical quality control and process improvement
• Hybrid AI and optimization approaches for uncertain environments
• Data-driven optimization and prescriptive analytics
• AI-enhanced supply chain and logistics management under disruptions
• Real-time and adaptive decision-making systems
• Simulation-based optimization and digital twins under uncertainty
• Agentic AI and autonomous industrial systems
• Explainable and trustworthy AI for operational decision-making
• AI for resilient and sustainable operations
• Industrial applications and case studies of AI-driven decision systems

Timeline

• October 1, 2026: Submissions open
• January 31, 2027: Submission deadline

Louis Fauger, Amazon Research & Georgia Institute of Technology

Markus Gerschberger, University of Applied Sciences Upper Austria

Matthieu Lauras, KEDGE Business School

The Physical Internet is transitioning from theoretical concept to practical implementation through pilots, demonstrators and large-scale initiatives. This special issue seeks rigorous, empirically grounded research that offers actionable insights for managers, policymakers and supply chain stakeholders on how PI principles can be implemented, governed and scaled.

The call welcomes empirical studies, case studies, pilots and industry-driven innovations that address real implementation challenges. While conceptual contributions are considered, they must be strongly connected to practical implications and managerial relevance. Research should demonstrate sound scientific methodology while providing clear lessons learned for practitioners.

Appel publié par Supply Chain Forum: An International Journal. Voir l'appel sur le site de l'éditeur. Fiche de l'appel sur kerostig.

Potential topics

• PI use cases, pilots and demonstrators
• Business models and value creation in open and shared logistics
• Governance and coordination mechanisms for interoperable networks
• Supply chain intelligence, data sharing and digital platforms
• Transition pathways, roadmaps and maturity models
• Managerial and organizational challenges of PI adoption
• Public policy, regulation and public–private collaboration
• Sustainability, circular logistics and environmental performance

Timeline

• June 1, 2026: Submission platform opened
• November 30, 2026: Paper submission deadline