Aim & Objective
The Journal of Production and Industrial Engineering (JPIE) (ISSN: 2583-0961) is an open access, peer-reviewed online biannual journal dedicated to publishing high-quality research contributions for the international production and industrial engineering community.
JPIE publishes original research papers, comprehensive review articles, and empirical case studies spanning manufacturing technologies, operational strategies, industrial optimization, and systems engineering. All contributions are rigorously reviewed on the basis of technical depth, quality, and novelty. Accepted manuscripts are published open access with permanent Crossref Digital Object Identifiers (DOIs).
Scope and Topical Areas
The journal welcomes submissions presenting analytical formulations, simulation modeling, and empirical applications across core industrial engineering sectors:
Production & Operations Management
- Production planning, scheduling, inventory control, and aggregate capacity planning
- Plant location selection, facility layout optimization, and material handling systems
- Lean manufacturing, Six Sigma frameworks, and total quality management (TQM)
- Maintenance engineering, reliability modeling, and condition monitoring
Supply Chain & Logistics Systems
- Global supply chain design, risk management, and reverse logistics
- Warehouse management systems, freight routing, and distribution networks
- Circular economy integration, closed-loop supply chains, and green manufacturing
- Supply chain analytics, demand forecasting, and digital tracking technologies
Advanced Manufacturing Technologies
- Additive manufacturing (3D/4D printing), rapid prototyping, and hybrid processing
- Computer-Integrated Manufacturing (CIM), CNC machining, and micro-fabrication
- Industrial robotics, automated guided vehicles (AGVs), and smart automation
- Materials engineering, characterization, and sustainable processing methods
Operations Research & Systems Engineering
- Mathematical programming, heuristic algorithms, and multi-criteria optimization
- Discrete-event simulation, agent-based modeling, and digital twin systems
- Human factors engineering, industrial ergonomics, and workplace safety systems
- Cyber-physical production systems (CPPS) and Industry 4.0 applications
All submitted manuscripts undergo automated plagiarism screening (via iThenticate / Plagiarism X) and a standardized double-blind peer-review workflow to ensure scholarly rigor and publication integrity.