Operations Management In Agriculture

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

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.

Responding to a recent surge in interest and application, this book is the first to comprehensively address how Lean thinking and tools can be implemented in agriculture and agribusiness. This tactical guide breaks down barriers, clearly depicting how improvement techniques originally developed for factories can derive the same powerful results on farms. Expert Lean farming consultants, Susanne Pejstrup and Vibeke Fladkjaer Nielsen, present these methods in a clear, easy-to-read style, accessible to farmers all over the world. Case studies from multiple farm types – including crops, pigs and dairy cattle – demonstrate how respect for people, continuous improvement, and visual management techniques can improve resilience and profitability on the farm. Richly illustrated, Lean in Agriculture appeals not only to farmers, but to farm workers, food processing companies, veterinarians, consultants and other stakeholders in the agribusiness sector. Key Features: Translates Lean thinking into agricultural terms. Takes a people-centric approach to a Lean agricultural production system. Serves as an implementation guide , with clear writing and concise, easy-to-follow instructions tailored to the agricultural sector. Illustrates agriculture-specific Lean implementation with a wide range of case studies and memorable images.

This book focuses on three essential elements of agricultural supply chains: Planting and Growing, Processing and Selling, and Government Interventions. For decades, most agricultural economists applied macro-economic theory in decisions pertaining to the optimization of food production and distribution. However, few researchers used micro-economic theory to examine how individual farmers respond to market information, incentive pricing mechanisms and different market structures in the trade of agricultural goods. Examining challenges in agricultural supply chain operations through the lens of micro-economic theory is imperative because it can enable policymakers and social enterprises to develop and design market information provision policy, incentive contracts and market structures for improving farmer and consumer welfare. In each chapter, contributing authors motivate their research questions by providing the context and articulating the importance of their questions. They present their analysis to examine the respective research questions and explain their results. At the end of each chapter, they provide a short list of future research questions.

This remarkable volume highlights the importance of Production and Operations Management (POM) as a field of study and research contributing to substantial business and social growth. The editors emphasize how POM works with a range of systems—agriculture, disaster management, e-commerce, healthcare, hospitality, military systems, not-for-profit, retail, sports, sustainability, telecommunications, and transport—and how it contributes to the growth of each. Martin K. Starr and Sushil K. Gupta gather an international team of experts to provide researchers and students with a panoramic vision of the field. Divided into eight parts, the book presents the history of POM, and establishes the foundation upon which POM has been built while also revisiting and revitalizing topics that have long been essential. It examines the significance of processes and projects to the fundamental growth of the POM field. Critical emerging themes and new research are examined with open minds and this is followed by opportunities to interface with other business functions. Finally, the next era is discussed in ways that combine practical skill with philosophy in its analysis of POM, including traditional and nontraditional applications, before concluding with the editors’ thoughts on the future of the discipline. Students of POM will find this a comprehensive, definitive resource on the state of the discipline and its future directions.

This book discusses the methods to determine optimal systems in farm business management. The methods are all about problem solving, as any decision situation implies choice and, therefore, requires a method for deciding which alternative maximizes the objectives. The book is not, however, about carrying out the optimal plans. Most of the chapters relate to quantitative methods and qualitative analysis. The book has a penultimate chapter discussing a number of analytical models that are commonly used in urban business but which are less important in primary production. The results of farming systems analyses can have a major impact on good decision-making in any primary producing community. Some of the methods might be used by farmers themselves, but more likely by farm advisors and consultants, and by farm management researchers interested in, firstly, providing farmers with guidance on optimal systems, and, secondly, providing governments with advice on the impact of farm policy measures.