Operations Management in Agriculture
Operations Management in Agriculture

Author: Dionysis Bochtis

Publisher: Academic Press

Published: 2018-11-20

Total Pages: 242

ISBN-13: 0128097167

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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

Handbook of Operations Research in Agriculture and the Agri-Food Industry
Handbook of Operations Research in Agriculture and the Agri-Food Industry

Author: Lluis M. Plà-Aragonés

Publisher: Springer

Published: 2015-04-28

Total Pages: 471

ISBN-13: 1493924834

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The scope of this book is Operations Research methods in Agriculture and a thorough discussion of derived applications in the Agri-food industry. The book summarizes current research and practice in this area and illustrates the development of useful approaches to deal with actual problems arising in the agriculture sector and the agri-food industry. This book is intended to collect in one volume high quality chapters on Methods and Applications in Agriculture and Agri-food industry considering both theoretical issues and application results. Methods applied to problems in agriculture and the agri-food industry include, but are not restricted to, the following themes: Dynamic programming Multi-criteria decision methods Markov decision processes Linear programming Stochastic programming Parameter estimation and knowledge acquisition Learning from data Simulation Descriptive and normative decision tree techniques, including: agent modelling and simulation, and state of the art surveys Each chapter includes some standard and traditional methodology but also some recent research advances. All the applications presented in the chapters have been inspired and motivated by the demands from the agriculture and food production areas.

Food Bibliography
Food Bibliography

Author:

Publisher:

Published: 1984

Total Pages: 236

ISBN-13:

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Reference to U.S. General Accounting Office (GAO) documents related to food, nutrition, or agriculture, and released in various years as stated. Intended for in-depth research or general browsing. Arranged according to accession numbers. Each entry gives such information as title, author, agencies concerned, GAO contact, Congressional relevance, and lengthy abstract. Subject, agency/organization, and Congressional indexes.

Operations Research and Analytics in Latin America
Operations Research and Analytics in Latin America

Author: Jairo R. Montoya-Torres

Publisher: Springer Nature

Published: 2023-10-04

Total Pages: 234

ISBN-13: 303128870X

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This book gathers a selection of peer-reviewed research papers presented at the joint IV ASOCIO/XIX IISE Region 16 Conference held in Chia and Bogota, Colombia. The conference was organized by the Universidad de La Sabana’s Research Group on Logistics Systems, in partnership with Chapters #782 (Universidad de La Sabana), #712 (Universidad Sergio Arboleda) and #988 (Universidad de Los Andes) of the Institute of Industrial and Systems Engineers (IISE). The main emphasis of the book is on modelling and solving business-related problems in operations research, and on applying descriptive, predictive and prescriptive analytics and the management sciences to actual decision-making in organizations. Both theoretical developments and algorithm implementation are presented. A special focus is given to business problems arising in emerging economies, particularly in Latin America and the Caribbean. This book is addressed to academics, practitioners, postgraduate students and researchers in operations research, analytics and industrial engineering, as well as to undergraduate students for educational purposes. In particular, the book will appeal to the academic and research community in Latin America and the Caribbean, as it presents projects developed and implemented there. Higher education engineering programs will benefit from the findings and insights shared in the fields of industrial engineering, operations research and analytics, applied mathematics, and computer science and engineering.