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Production Planning and Control Journal - Taylor & Francis | 2024 Impact Factor:6.1 | Cite Score:20.7 | Q1

Production Planning and Control Journal

Impact Factor and Journal Rank of Production Planning and Control

  • About: Production Planning and Control is a peer-reviewed journal that publishes original research articles, review papers, and case studies related to production planning, scheduling, and control. It provides a platform for researchers, practitioners, and professionals to share their insights and advancements in the field of operations management.
  • Objective The primary objective of PPC is to disseminate knowledge and foster innovation in production planning and control practices. The journal aims to publish research that addresses theoretical developments, methodological advancements, and practical applications in the field. It seeks to bridge the gap between academia and industry by providing insights that can improve production processes and operational efficiency.
  • Interdisciplinary Focus PPC adopts an interdisciplinary approach, welcoming contributions from various fields related to operations management and industrial engineering, including but not limited to, Operations Research, Industrial Engineering, Supply Chain Management, Logistics, Manufacturing Systems Engineering, Decision Sciences, Information Systems and Quality Management. This interdisciplinary perspective facilitates the integration of diverse methodologies and perspectives, leading to comprehensive solutions to production planning and control challenges.
  • Global Reach and Impact The journal has a broad international readership and authorship, reflecting its global reach and impact. By publishing research from around the world, PPC contributes to the dissemination of knowledge and advancements in production planning and control practices. The journal content influences both academic research and industrial practices, driving improvements in production processes and supply chain management globally.
  • High Standards and Rigorous Review PPC maintains high academic standards through a rigorous peer-review process. Each submitted manuscript undergoes thorough evaluation by experts in the field to ensure the quality, relevance, and contribution of the research. This rigorous review process upholds the integrity and reputation of the journal, ensuring that only high-quality and impactful research is published.
  • Significance The significance of PPC lies in its role as a leading publication in the field of production planning and control. The journal contributions help shape the future of operations management by disseminating research that addresses critical challenges and opportunities in production processes. PPC serves as an essential resource for researchers, practitioners, and professionals seeking to enhance operational efficiency and competitiveness in manufacturing and service industries.

  • Editor-in-Chief:  Bjørn Andersen

  • Scope: The Production Planning and Control journal, published by Taylor & Francis, focuses on research and advancements in the field of production planning, scheduling, and control.

    Here is an overview of its key focus areas and scope:
  • Production Planning: Research articles addressing methods, models, and algorithms for effectively planning production activities, including capacity planning, resource allocation, and production scheduling.
  • Scheduling Algorithms and Techniques: Studies on scheduling algorithms, heuristics, and optimization techniques to improve the efficiency, throughput, and performance of production systems. This may include research on job shop scheduling, flow shop scheduling, and scheduling in flexible manufacturing systems.
  • Inventory Management: Research on inventory control policies, order quantity optimization, and inventory replenishment strategies to minimize costs while maintaining adequate stock levels. This encompasses topics such as economic order quantity (EOQ), just-in-time (JIT) inventory management, and inventory forecasting.
  • Supply Chain Planning and Coordination: Articles addressing supply chain planning, coordination, and collaboration among various entities in the supply chain. This may include research on supply chain network design, distribution planning, and vendor-managed inventory (VMI).
  • Lean Manufacturing and Six Sigma: Studies focusing on lean manufacturing principles, process improvement methodologies, and quality management techniques to streamline production processes and eliminate waste. This may include research on lean production systems, value stream mapping, and total quality management (TQM).
  • Manufacturing Systems Analysis: Investigations into the analysis and modeling of manufacturing systems to understand their performance, reliability, and resilience. This encompasses topics such as discrete event simulation, queuing theory, and performance measurement in manufacturing systems.
  • Production Control Systems: Research on the design, implementation, and evaluation of production control systems, including real-time monitoring, scheduling adjustments, and production coordination mechanisms. This may include research on computer-integrated manufacturing (CIM) systems, Manufacturing Execution Systems (MES), and production planning software.
  • Operations Research Applications: Articles applying operations research techniques, such as linear programming, integer programming, and metaheuristic algorithms, to solve production planning and control problems. This includes optimization models for production scheduling, capacity planning, and facility layout design.
  • Industry 4.0 and Smart Manufacturing: Studies on the integration of advanced technologies, such as Internet of Things (IoT), artificial intelligence, and cyber-physical systems, into production planning and control processes. This includes research on smart factories, digital twins, and predictive maintenance.
  • Case Studies and Applications: Reports on real-world applications, case studies, and best practices in production planning and control across various industries, including manufacturing, logistics, healthcare, and service sectors.
  • Latest Research Topics for PhD in Computer Science
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  • Print ISSN:  09537287

    Electronic ISSN:  13665871

  • Abstracting and Indexing:  Scopus, Science Citation Index Expanded

  • Imapct Factor 2024:  6.1

  • Subject Area and Category:   Business, Management and Accounting,Strategy and Management,Computer Science,Computer Science Applications,Decision Sciences,Management Science and Operations Research,Engineering,Industrial and Manufacturing Engineering

  • Publication Frequency:  

  • H Index:  111

  • Best Quartile:

    Q1:  Computer Science Applications

    Q2:  

    Q3:  

    Q4:  

  • Cite Score:  20.7

  • SNIP:  2.732

  • Journal Rank(SJR):  2.198