Farm Planning with Linear Programming: Concept and Practice focuses on concepts and methods in farm planning. The book first discusses the principles of farm planning, including elements of farm planning problems, summary, and review questions. The text highlights farm planning models. The nature of models; commonly used farm planning models; multiple constraint problems and program planning; problems in applying models; and comments are considered. The book also focuses on the linear programming network; opportunity cost and the simplex method; and analysis of the linear programming solution. The text also explains tableaux construction for short-run planning. Crop and pasture rotations; feed budgeting; buy, sell, and hire activities; and livestock reconciliation are discussed. The book also describes pastoral property applications. Breed comparison; economics of off-farm grazing and spatial diversification; and optimal calving date and lactation length on dairy farms are discussed. The text is a good source of information for agricultural researchers, farmers, and students wanting to study farm management.
Author: Peter L. Nuthall
Release Date: 2011
Genre: Technology & Engineering
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.
Author: Jonathan Rushton
Release Date: 2009
The efficient functioning of the livestock sector, encompassing all facets of input supply, production, processing and marketing, is critical for food security and safety. This book draws on both extensive literature and experience in animal health economics and livestock issues in Europe, Asia, Africa and Latin America. It provides comprehensive coverage of the history of livestock and animal health economics, theory and tools for the economics of animal health and production, a review of the application of economics to animal diseases and health problems, and worldwide examples of economic analysis and policy making.
"Combines the theoretical and practical aspects of linear and integer programming. Provides practical case studies and techniques, including rounding-off, column-generation, game theory, multiobjective optimization, and goal programming, as well as real-world solutions to the transportation and transshipment problem, project scheduling, and decentralization."
Author: David J. Pannell
Release Date: 1997
Genre: Business & Economics
This book discusses linear programming, an accessible technique widely used by non-mathematicians such as business managers, consultants, social scientists, and applied economists. This comprehensive guide to applying the linear programming model in real-world situations emphasizes practical applications of linear programming in a simplified, non-theoretical manner without requiring knowledge of the underlying mathematics.
Author: Frederick S. Hillier
Publisher: Walter de Gruyter GmbH & Co KG
Release Date: 1997-01-01
Genre: Business & Economics
Aus dem Inhalt: Was ist Operations Research? Überblick über die Modellierungsgrundsätze des Operations Research. Einführung in die lineare Programmierung. Die Lösung linearer Programmierungsprobleme: Das Simplexverfahren. Stochastische Prozesse. Warteschlangentheorie. Lagerhaltungstheorie. Prognoseverfahren. Markov-Entscheidungsprozesse. Reliabilität. Entscheidungstheorie. Die Theorie des Simplexverfahrens Qualitätstheorie und Sensitivitätsanalyse Spezialfälle linearer Programmierungsprobleme. Die Formulierung linearer Programmierungsmodelle und Goal-Programmierung. Weitere Algorithmen der linearen Programmierung. Netzwerkanalyse einschließlich PERT-CPM. Dynamische Optimierung. Spieltheorie. Ganzzahlige Programmierung. Nichtlineare Programmierung Simulation. Anhang. Lösungen für ausgewählte Übungsaufgaben.