Modern Supply Chain Research and Applications (MSCRA) is a premier peer-reviewed journal in operations research, management, analytics, and general quantitative modeling, with special interest in applications covering materials management, logistics, supply chain management and strategic sourcing. It is the high-quality journal of Federation of Management Societies of China (FMS), and the official journal of International Federation of Purchasing and Supply Management (IFPSM). MSCRA is published in association with China Fortune Press.
Aims and scope
Modern Supply Chain Research and Applications (MSCRA) is a premier peer-reviewed journal in operations research, management, analytics, and general quantitative modelling, with a special interest in applications covering materials management, logistics, supply chain management and strategic sourcing. The journal considers papers with an emphasis on statistics and research review, analytics research, modelling, optimization, and case-based research. MSCRA is also a broad-based journal devoted to operations and analysis of problems in business, industry and government.

Submissions that are most appropriate for MSCRA are papers addressing modelling and analysis of problems motivated by real-world applications; major methodological advances in operations research/management, analytics, and applied probability; and expository or survey pieces of lasting value.

Areas represented include, but are not limited to: probability, statistics, simulation, optimization, data analytics, machine learning, statistical learning, game theory, with applications in supply chain, logistics, market design, revenue management, algorithmic economy, intelligent manufacturing, healthcare, scheduling, risk management, quality, reliability, maintenance, and decision analytics.

Special issues devoted to a single topic are published occasionally, and proposals for special issues are welcomed by the Editorial Board.

When submitting a manuscript, authors will be taken to a service called Paperpal Preflight, an AI-driven tool that checks manuscripts against the journal’s author guidelines. Authors are free to use or bypass this step and submit directly to ScholarOne.

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