Methodology to Manage Make-to-Order and Make-to-Stock Decisions in an Electronic Component Plant
Supply chain management is a crucial part of any production system, therefore many strategies and concepts have been developed in order to help firms make the most out of their manufacturing capacity and to fulfil the best service level for customers. However, companies still face the problem of supply chain failures. Some of the main strategies to fulfil orders that exist nowadays are make-to-order (MTO), make-to-stock (MTS), assemble-to-order (ATO) or engineer-to-order (ETO) policies. In this paper, we review the literature about methods to help stakeholders to decide if a product has to be MTO or MTS. A case study of a hybrid MTO/MTS system on an electrical component manufacturing plant, that has to consider new decision factors and constraints, is introduced.
KeywordsMake-to-stock Make-to-order Case study
The research leading to these results has received funding from the Spanish Ministry of Science and Innovation within the Program “Proyectos de Investigación Fundamental No Orientada” through the project “CORSARI MAGIC DPI2010-18243” and from the Project “Path Dependence y toma de decisiones para la selección de herramientas y prácticas de Lean Manufacturing” (PAID-06-12-SP20120717) of the Universitat Politècnica de València.
- Maheut J, Garcia-Sabater JP, Garcia-Sabater JJ (2013) Integrated production and simulation scheduling tool to solve the mix model assembly line problem considering Heijunka and operational constraints: a case study. In: Proceedings of the 7th international conference on industrial engineering and industrial management, pp 381–388Google Scholar
- Oberlé J (2010) Air sea ratio reduction initiative. In: Proceedings of the World energy congress, pp 1–13Google Scholar
- Silver EA, Pyke DF, Peterson R (1998) Inventory management and production planning and scheduling, 3rd edn. Wiley, New YorkGoogle Scholar
- Van Donk DP, Soman CA, Gaalman G (2005) A decision aid for make-to-order and make-to-stock classification in food processing industries. In: Proceedings of the EurOMAGoogle Scholar