Integrating Production Planning and Control Business Processes

Integrating Production Planning and Control Business Processes

Rui M. Lima
ISBN13: 9781605668567|ISBN10: 1605668567|EISBN13: 9781605668574
DOI: 10.4018/978-1-60566-856-7.ch009
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MLA

Lima, Rui M. "Integrating Production Planning and Control Business Processes." Social, Managerial, and Organizational Dimensions of Enterprise Information Systems, edited by Maria Manuela Cruz-Cunha, IGI Global, 2010, pp. 172-193. https://doi.org/10.4018/978-1-60566-856-7.ch009

APA

Lima, R. M. (2010). Integrating Production Planning and Control Business Processes. In M. Cruz-Cunha (Ed.), Social, Managerial, and Organizational Dimensions of Enterprise Information Systems (pp. 172-193). IGI Global. https://doi.org/10.4018/978-1-60566-856-7.ch009

Chicago

Lima, Rui M. "Integrating Production Planning and Control Business Processes." In Social, Managerial, and Organizational Dimensions of Enterprise Information Systems, edited by Maria Manuela Cruz-Cunha, 172-193. Hershey, PA: IGI Global, 2010. https://doi.org/10.4018/978-1-60566-856-7.ch009

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Abstract

Organizations have production planning and control (PPC) processes supported by systems that execute, mainly, repetitive calculations. Based on these calculation results, decisions are taken by production managers. These decision processes make the connection between different levels of aggregation of information and could benefit from the increment of the level of automation. An increased level of application of business process modelling languages is proposed in order to contribute to increment the level of process automation and the detail of business analysis. Thus being, concepts of integration of production management processes, specifically of production planning and control processes are presented. These concepts, the application of business process modelling language (BPML) and some solutions of PPC integration compose the core content of this work. Additionally, criteria for evaluation of these processes of integration are identified and discussed. Finally, the presentation of an industrial case will be supported by BPML model.

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