Innovations in Production Planning: Emerging Problems and Modern Solution Paradigms

𝗖𝗔𝗟𝗟 𝗙𝗢𝗥 𝗣𝗔𝗣𝗘𝗥𝗦

Innovations in Production Planning: Emerging Problems and Modern Solution Paradigms

𝗝𝗼𝘂𝗿𝗻𝗮𝗹:
International Journal of Production Research (IJPR)

𝗣𝘂𝗯𝗹𝗶𝘀𝗵𝗲𝗿:
Taylor & Francis Group

𝗠𝗮𝗻𝘂𝘀𝗰𝗿𝗶𝗽𝘁 𝗗𝗲𝗮𝗱𝗹𝗶𝗻𝗲:
30 September 2026

𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻

The International Journal of Production Research invites submissions for a Special Issue titled “Innovations in Production Planning: Emerging Problems and Modern Solution Paradigms.”

Production planning has long been a cornerstone of industrial engineering and operations management, encompassing classical areas such as lot sizing, scheduling, capacity planning, assembly line balancing, and material requirements planning. While these traditional approaches have provided effective frameworks for optimizing production systems, rapid technological advancements are fundamentally transforming the planning landscape.

Emerging technologies including Artificial Intelligence (AI), Digital Twins, Internet of Things (IoT), Additive Manufacturing, Advanced Robotics, Cyber-Physical Systems, and Industry 5.0 are creating new production environments that challenge conventional assumptions and require innovative planning approaches.

This Special Issue seeks to explore how production planning is evolving in response to these technological, environmental, and societal shifts, and how modern optimization, simulation, and AI-driven methodologies can address increasingly complex industrial challenges.

𝗦𝗰𝗼𝗽𝗲 & 𝗦𝗶𝗴𝗻𝗶𝗳𝗶𝗰𝗮𝗻𝗰𝗲

Today's production systems must simultaneously address efficiency, resilience, sustainability, flexibility, and adaptability. Organizations are increasingly required to manage real-time decision-making, integrate multiple manufacturing technologies, respond to disruptions, and balance economic objectives with environmental and social responsibilities.

The Special Issue aims to collect cutting-edge theoretical, methodological, and applied research that introduces innovative production planning models, novel problem formulations, and advanced solution paradigms capable of supporting modern manufacturing ecosystems.

Researchers are encouraged to submit both conceptual and empirical studies, including industrial case studies, simulation-based investigations, optimization frameworks, AI-enabled planning models, and real-world applications.

𝗟𝗶𝘀𝘁 𝗼𝗳 𝗧𝗼𝗽𝗶𝗰 𝗔𝗿𝗲𝗮𝘀

Submissions may include, but are not limited to:

• Evolution of classical production planning problems in modern manufacturing environments
• Lot sizing, capacity planning, scheduling, and assembly line balancing innovations
• Planning in reconfigurable, modular, and hybrid manufacturing systems
• Integration of additive manufacturing with conventional production processes
• Additive manufacturing production scheduling and coordination
• Digital Twin-enabled production planning and adaptive scheduling
• Real-time planning and rolling-horizon optimization approaches
• Sustainable production planning and circular economy integration
• Carbon-aware and environmentally sustainable manufacturing strategies
• Resilience-oriented planning under uncertainty, disruptions, and volatility
• Production planning for engineering-to-order, make-to-order, and mass customization environments
• Machine Learning, Deep Learning, and Reinforcement Learning applications in production planning
• Graph Neural Networks and AI-based scheduling systems
• Simulation-optimization frameworks and surrogate modeling approaches
• Multi-agent systems and decentralized production planning
• Human-robot collaborative manufacturing systems in Industry 5.0
• Optimization of production and inventory management in modern distribution systems
• E-commerce and platform-based logistics planning strategies
• Advanced optimization methods including decomposition, stochastic optimization, robust optimization, and metaheuristics

𝗚𝘂𝗲𝘀𝘁 𝗘𝗱𝗶𝘁𝗼𝗿𝘀

Prof. Mirco Peron
NEOMA Business School, France
Email: mirco.peron@neoma-bs.fr

Prof. Ibrahim Kucukkoc
Balikesir University, Turkey
Email: ikucukkoc@balikesir.edu.tr

Prof. Daniel Alejandro Rossit
Universidad Nacional del Sur, Argentina
Email: daniel.rossit@uns.edu.ar

Prof. Ilkyeong Moon
Seoul National University, South Korea
Email: ikmoon@snu.ac.kr

Prof. Olga Battaïa
KEDGE Business School, France
Email: olga.battaia@kedgebs.com

Prof. Michael Pinedo
Stern School of Business, New York University, USA
Email: mlp5@stern.nyu.edu

𝗞𝗲𝘆 𝗗𝗲𝗮𝗱𝗹𝗶𝗻𝗲

Manuscript Submission Deadline: 30 September 2026

𝗦𝘂𝗯𝗺𝗶𝘀𝘀𝗶𝗼𝗻 𝗚𝘂𝗶𝗱𝗲𝗹𝗶𝗻𝗲𝘀

Authors should prepare manuscripts according to the International Journal of Production Research author guidelines.

Submissions should present original, unpublished research and may include theoretical developments, methodological innovations, empirical investigations, industrial applications, simulation studies, optimization frameworks, or case-based research.

All manuscripts will undergo the journal’s standard peer-review process and will be evaluated based on originality, methodological rigor, practical relevance, and contribution to the advancement of production planning and operations management.

Authors should submit their manuscripts through the official International Journal of Production Research submission system.

𝗔𝗯𝗼𝘂𝘁 𝘁𝗵𝗲 𝗝𝗼𝘂𝗿𝗻𝗮𝗹

The International Journal of Production Research (IJPR) is one of the world's leading peer-reviewed journals in production engineering, manufacturing systems, operations management, logistics, supply chain management, and industrial optimization. The journal publishes high-quality research that advances both theoretical understanding and practical implementation of production and operations systems across global industries.

𝗣𝗼𝘀𝘁𝗲𝗱 𝗼𝗻 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝗦𝗲𝘁𝘂 𝗔𝗰𝗮𝗱𝗲𝗺𝗶𝗰𝘀 — 𝗣𝗿𝗲𝗺𝗶𝗲𝗿 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝗳𝗼𝗿 𝗔𝗰𝗮𝗱𝗲𝗺𝗶𝗰 𝗢𝗽𝗽𝗼𝗿𝘁𝘂𝗻𝗶𝘁𝗶𝗲𝘀 & 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗖𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗶𝗼𝗻

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