Application of Measurement-Based AHP to Product-Driven System Control
This paper presents an application of the measurements-based AHP to define a two-stage algorithm for product-driven systems control, in case of an unexpected event. This algorithm is made of two stages: the first one aims at defining which kind of strategy the product should adopt (wait¸ react by itself or switch back to centralized mode) while the second one helps to choose the most appropriate resource able to fulfil the product requirements. The methodology is detailed on a simple case study.
KeywordsProduct-driven systems Resource allocation Measurement-based AHP
- 5.Lopez, P., Roubellat, F.: Ordonnancement de la production. Hermès Science Publications (2001)Google Scholar
- 6.Trentesaux, D., Dindeleux, R., Tahon, C.: A multicriteria decision support system for dynamic task allocation in a distributed production activity control structure. Int. J. Comput. Integr. Manuf. 11(1), 3–17 (1998)Google Scholar
- 7.Ounnar, F., Ladet, P.: Managing breakdowns machines: a Petri Nets model and a decision-making process. J. européen des systèmes automatisés 33(8–9), 977–994 (1999)Google Scholar
- 9.Pach, C., et al.: An effective potential field approach to FMS holonic heterarchical control. Control Eng. Pract. 20(12), 1293–1309 (2012)Google Scholar