A Method for Demand Driven Strategic Planning and Management for Food Chains (The Chainplan Method)
Marcos Fava Neves
University of Sao Paulo (USP) - Business Administration
In the modern world, it has certain that system and network construction with inclusion of small producers, innovation and marketing will give to agribusiness the chance to reduce unemployment and poverty in developing countries. These concepts of transnational systems (chains) have come for good bringing with them coordination, transaction costs and uncertainty reduction, control and value creation, being able to benefit production in Brazil. Therefore, how important is studying and formulating a strategic planning and management of production systems (chains) method, which is the objective of this study. For this, a theoretical framework was made, with a literature review on production systems (chains) and networks in agribusiness, strategic planning and management methods, collective actions and contracts, and an empirical application, with the understanding of collective actions identified for solving coordination problems in three Brazilian production systems (chains) (wheat, orange, and milk).
The main objective of this paper is to enable readers to identify and to analyze in a systemic way a production chain (or Agribusiness System - AGS). For this purpose the method of Strategic Planning and Management for Production Systems (chains) Aiming Competitiveness will be displayed, partially applied in this book to the Milk production system in Brazil. The broaden vision of the Milk AIS will allow us by means of the analysis of the relationships between operating players, the identification of critical points in the coordination of this production system and later the formulation of collective actions that benefit the system as a whole.
Number of Pages in PDF File: 12
Keywords: Strategic Planning, Chains, Demand Driven
Date posted: August 24, 2007
© 2016 Social Science Electronic Publishing, Inc. All Rights Reserved.
This page was processed by apollobot1 in 0.266 seconds