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Improvement of the demand planning of imported seeds in the company Agro Peru SA

By Leonilda Coba, C. Shimabuku and Jesus Gonzalez-Feliu

Abstract

International audienceThis chapter analyzes the current structure of the demand planning in Agro Peru SA and the potential of rethinking the demand planning structure and decisions on the whole supply chain performance. Using a methodology that combines the CSAR framework for rethinking supply chain strategies, a multi-criteria Analytic Hierarchy Process method, and a Sales and Operation Planning methodologies. The present work proposes a diagnosis of demand planning operations, strategy and a management plan to improve them. First, the chapter presents the company and the agricultural sector in Peru. Second, the methodological framework is described. Third, the main results are presented and discussed. Results indicate that it is necessary to elaborate two internal projects to improve the forecast of demand and thus reduce inventories without affecting sales.This book reports the best practices that companies established in Latin America are implementing in their manufacturing processes in order to generate high quality products and stay in the market. It lists the technologies, production and administrative philosophies that are being implemented, presenting a collection of successful cases of studies from Latin America. The book describes how the tools and techniques are being integrated, modified and combined to create new technical resources for assisting the decision making process for better economic performance in manufacturing companies. The efforts deployed for assisting the transformation of raw materials into products and services are described. The authors explain the main key success factors or drivers for success of each tool, technique or hybrid combination approach applied to solve manufacturing problems

Topics: Forecasting, Management, Demand planning, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation
Publisher: 'Springer Science and Business Media LLC'
Year: 2019
DOI identifier: 10.1007/978-3-319-99190-0_12
OAI identifier: oai:HAL:emse-01860722v1
Provided by: HAL-EMSE
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