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Enterprise Business Modelling Languages Applied to Farm Enterprise: A Case Study for IDEF0, GRAI Grid, and AMS Languages

In: Advances in Modeling Agricultural Systems

Author

Listed:
  • Vincent Abt

    (Cemagref)

  • Frédéric Vigier
  • Michel Schneider

Abstract

New requirements of society and demands imposed by the Common Agricultural Policy (CAP) reform have increased the complexity level required from farm management systems. New approaches for assisting farm management are needed to ensure a successful production system that is friendly to our environment and able to provide high-quality information management. Successful management of farm activities requires the collection, storage, and manipulation of a considerable amount of information. Farm enterprises are complex systems that we need to model to facilitate knowledge capitalization, business process reengineering and integration, change-management, and information system (IS) design and integration. Enterprise Modelling Languages allow business requirements models to be defined. Such business models help to align the business strategy, the organization infrastructure, and the IS infrastructure but are rarely used in the agricultural sector. We propose in this chapter to apply three Enterprise Modelling Languages from the industrial sector to farm enterprise. After a brief presentation of modelling language diversity, we will present the three Enterprise Modelling Languages (IDEF0, GRAI Grid, and AMS) and illustrate their application to farm enterprise through case studies. We will then discuss their usability and the interest of Enterprise Modelling Languages compared with other modelling languages (such as Unified Modelling Language) presented in other chapters in this book.

Suggested Citation

  • Vincent Abt & Frédéric Vigier & Michel Schneider, 2009. "Enterprise Business Modelling Languages Applied to Farm Enterprise: A Case Study for IDEF0, GRAI Grid, and AMS Languages," Springer Optimization and Its Applications, in: Panos M. Pardalos & Petraq J. Papajorgji (ed.), Advances in Modeling Agricultural Systems, pages 167-191, Springer.
    • Handle: RePEc:spr:spochp:978-0-387-75181-8_9
    DOI: 10.1007/978-0-387-75181-8_9
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    Cited by:

    1. Sergio Monteleone & Edmilson Alves de Moraes & Roberto Max Protil & Brenno Tondato de Faria & Rodrigo Filev Maia, 2024. "Proposal of a Model of Irrigation Operations Management for Exploring the Factors That Can Affect the Adoption of Precision Agriculture in the Context of Agriculture 4.0," Agriculture, MDPI, vol. 14(1), pages 1-33, January.
    2. Claudia Paciarotti & Inna Valiakhmetova, 2021. "Evaluating Disaster Operations Management: An Outcome‐Process Integrated Approach," Production and Operations Management, Production and Operations Management Society, vol. 30(2), pages 543-562, February.

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