Operations Management in Agriculture bridges the knowledge gap on operations management for agricultural machinery. It complements traditional topics (cost of using and choosing machinery) with advanced engineering approaches recently applied in agricultural machinery management (area coverage planning and sequential scheduling). The book covers new technologies in bio-production systems (robotics, IoT) and environmental compliance by employing a systems engineering perspective with focuses on sub-systems, including advanced optimization, supply chain systems, sustainability, autonomous vehicles and IT-driven decision-making. It will be a valuable resource for students studying decision-making and those working to improve the efficiency, effectiveness and sustainability of production through machinery choice. - Covers agricultural machinery management related courses and a number of other courses within the agricultural engineering discipline - Provides core tools for machine operations management, including machinery selection and cost of usage - Presents current knowledge for agricultural machinery management in a science-based format

Dionysis D Bochtis works on the area of Systems Engineering focused on bio-production and related provision systems including, both, conventional systems with enhanced ICT and automation technologies and fully robotized systems, having held various positions ncluding: Professor (Agri-Robotics) at the Lincoln Institute for Agri-Food technologies, University of Lincoln, UK, and Senior Scientist (Operations Management) at the Department of Engineering at Aarhus University, Denmark. Currently, he is the Director of the Institute for Bio-economy and Agri-technology (IBO), Center of Research and Technology - Hellas (CERTH). He is the author of more than 300 articles (90 in peer reviewed journals) and has been invited for more than 30 key-note speeches around the globe.

Operations Management in Agriculture bridges the knowledge gap on operations management for agricultural machinery. It complements traditional topics (cost of using and choosing machinery) with advanced engineering approaches recently applied in agricultural machinery management (area coverage planning and sequential scheduling). The book covers new technologies in bio-production systems (robotics, IoT) and environmental compliance by employing a systems engineering perspective with focuses on sub-systems, including advanced optimization, supply chain systems, sustainability, autonomous vehicles and IT-driven decision-making. It will be a valuable resource for students studying decision-making and those working to improve the efficiency, effectiveness and sustainability of production through machinery choice.

• Covers agricultural machinery management related courses and a number of other courses within the agricultural engineering discipline
• Provides core tools for machine operations management, including machinery selection and cost of usage
• Presents current knowledge for agricultural machinery management in a science-based format

1. Agricultural Production Through Technological Evolution 2. Introduction to Engineering Management Basics 3. Effectiveness and Efficiency of Agricultural Machinery 4. Cost of Using Agricultural Machinery 5. Choosing a Machinery System 6. Operations Management 7. Agriproducts Supply Chain Operations 8. Energy Inputs and Outputs in Agricultural Operations 9. Advances and Future Trends in Agricultural Machinery and Management 10. Appendices