Aims and scope

Aims and Scope

Supply Chain and Operations Decision Making (SCODM) is an international, peer-reviewed journal dedicated to fostering high-quality research in the multifaceted area of supply chain and operations decision-making. The journal aims to create a vibrant academic platform that brings together researchers, scholars, and practitioners from around the world to discuss, analyze, and develop new theories, methodologies, and applications in this rapidly evolving field.

Focus Areas:

  • Smart Logistics: SCODM is keenly interested in cutting-edge research that delves into the optimization of logistics using intelligent decision-making models. This includes, but is not limited to, inventory management, distribution network design, and real-time tracking systems.

  • Sustainable Transportation Systems: The journal aims to promote research on sustainable design and operation of transportation systems, focusing on eco-efficiency, cost-effectiveness, and societal benefits.

  • Waste Reduction in Manufacturing: SCODM encourages submissions that explore innovative decision-making models and methodologies aimed at minimizing waste and enhancing sustainability in manufacturing processes.

  • Supplier Management: Contributions are welcomed in the areas of supplier evaluation, selection, and relationship management, with a particular interest in multi-criteria decision-making approaches.

  • Location Problems: The journal seeks high-quality research addressing decision-making issues related to facility location, layout design, and location-routing optimization.

  • Decision-Making Algorithms: We invite articles that focus on the development, application, and validation of decision-making algorithms like MABAC, CoCoSo, MARCOS, LBWA, and their fuzzy or neutrosophic extensions.

  • Information Systems and Computer Programming: SCODM is interested in research that explores how decision-making tools and algorithms can be integrated into information systems, including ERP, CRM, and other business intelligence platforms.

Methodological Approaches:

  • Analytical Models: Papers developing new analytical models for decision-making, including optimization models and simulation studies, are highly encouraged.

  • Empirical Research: Studies employing empirical methodologies to validate decision-making models in real-world settings are welcomed.

  • Computational Methods: Articles focusing on computational techniques, including machine learning and other data-driven methods for decision-making, are of particular interest.

  • Interdisciplinary Research: SCODM values research that crosses disciplinary boundaries, applying decision-making theories and tools to solve complex real-world problems in various sectors such as healthcare, energy, and public policy.

Ethical and Societal Implications:

The journal also aims to promote ethical considerations and societal impacts of decision-making in supply chain and operations, including sustainability, fairness, and social responsibility.

By publishing state-of-the-art research articles, review papers, case studies, and technical notes, SCODM aims to serve as a leading forum for the dissemination of groundbreaking research in supply chain and operations decision-making.