Abstract
This paper presents an operations planning scheme based on mathematical programming models (specifically, Mixed-Integer Linear Programming (MILP) models) integrated into a web-enabled Advanced Planning and Scheduling System (APS), developed for and implemented in an engine assembler that supplies the car industry. One objective of this paper is to provide empirical insights into some operations planning characteristics in the automotive industry. The other main objective is to show MILP models and their use to create plans that enable the coordination of different planning levels (mid-term and short-term) and planning domains (procurement, production and distribution). The APS fulfills the requirements of an engine assembler in the automotive sector (namely lean-type constraints and objectives). The system is based on two MILP models, which have been purposely developed together along with their relations. The models presented herein provide a solution that considers supply chain objectives and constraints, and are integrated by means of data and constraints which have proven sufficient to fulfill users’ and stakeholders’ requirements. This case study presents the models’ most relevant aspects and their implementation.
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Acknowledgments
The work described in this paper has been partially supported by the Ministerio de Ciencia e Innovación del Gobierno de España within the Program de “Proyectos de Investigación Fundamental No Orientada through the project “CORSARI MAGIC DPI2010-18243″ and by the Universitat Politècnica de València, through the Project PAID-05-2010-2741. Julien Maheut holds a Val I + D grant funded by the Generalitad Valenciana (Regional Valencian Government, Spain) (Ref. ACIF/2010). The authors wish to thank three anonymous reviewers for their comments which have greatly improved the paper. They also wish to thank the people at the factory and at the IT consultancy firm for their continuous support and encouragement.
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Garcia-Sabater, J.P., Maheut, J. & Garcia-Sabater, J.J. A two-stage sequential planning scheme for integrated operations planning and scheduling system using MILP: the case of an engine assembler. Flex Serv Manuf J 24, 171–209 (2012). https://doi.org/10.1007/s10696-011-9126-z
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DOI: https://doi.org/10.1007/s10696-011-9126-z