ERP data sharing framework using the Generic Product Model (GPM)

  • Authors:

  • Souleiman Naciri;Naoufel Cheikhrouhou;Michel Pouly;Jean-Charles Binggeli;Rémy Glardon

  • Affiliations:

  • Ecole Polytechnique Fédérale de Lausanne (EPFL), Laboratory for Production Management and Processes, Station 9, 1015 Lausanne, Switzerland;Ecole Polytechnique Fédérale de Lausanne (EPFL), Laboratory for Production Management and Processes, Station 9, 1015 Lausanne, Switzerland;Ecole Polytechnique Fédérale de Lausanne (EPFL), Laboratory for Production Management and Processes, Station 9, 1015 Lausanne, Switzerland;Ecole Polytechnique Fédérale de Lausanne (EPFL), Laboratory for Production Management and Processes, Station 9, 1015 Lausanne, Switzerland;Ecole Polytechnique Fédérale de Lausanne (EPFL), Laboratory for Production Management and Processes, Station 9, 1015 Lausanne, Switzerland

  • Venue:
  • Expert Systems with Applications: An International Journal
  • Year:
  • 2011

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Abstract

Nowadays, all product life cycle processes are investigated deeply in order to get an advantage over competitors. To support these processes, several software applications are available. However, this wide range of heterogeneous applications leads to a large variety of hardware and operating systems, data management software, data models, schemas, and data semantics that hinder the information sharing process. To tackle this problem, Hitachi Company has developed a modeling language called Generic Product Model (GPM) in addition to several translators from native formats to GPM for storing, sharing and visualizing product data in a single data warehouse. In order to broaden the range of application data able to be stored and shared using the GPM data warehouse, this paper presents a methodology and a translator that allow management data to be included in a GPM data warehouse. Given the fact that most management data are stored in Enterprise Resource Planning (ERP) software, and that the latter allows extraction of database contents into Excel files, we propose a translator that handles Enterprise Resource Planning management data that are already extracted into Excel Format. The proposed framework enables data management contained in flat Excel Files to be translated into structured GPM data. Translation methodologies are given for the translation of mass production and customized product data through two case studies, one in the computer retail sector and the other in the extrusion machine industry.