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Improving the Maintenance Planning of Heavy Trucks using Constraint Programming
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences. Scania CV, Service Support Solutions, Södertälje, Sweden.
2013 (English)In: ModRef 2013: The Twelfth International Workshop on Constraint Modelling and Reformulation: Proceedings / [ed] George Katsirelos, Claude-Guy Quimper, Québec, Canada: Université Laval , 2013, 74-90 p.Conference paper (Refereed)
Abstract [en]

Maintenance planning of heavy trucks at Scania is presently done using static cyclic plans where each maintenance occasion contains a xed set of components. Using vehicle operational data gained from on-board sensors we will be able to predict at which intervals each component needs to be maintained. However, dynamic planning is needed to take this new knowledge into account. Another benet using dynamic planning is that vehicle owners can in uence maintenance plans with regard to their business. For this reason we have implemented a prototype of an automated maintenance planner based on constraint programming techniques. The planner has successfully been tested on vehicles belonging to Scania's internal haulage contractor. In this paper we will describe the planner and what we have learned using and developing it as well as ongoing work on how the planner will be developed further.

Place, publisher, year, edition, pages
Québec, Canada: Université Laval , 2013. 74-90 p.
National Category
Information Systems
Research subject
Computer and Systems Sciences
URN: urn:nbn:se:su:diva-97733OAI: diva2:679963
ModRef 2013: The Twelfth International Workshop on Constraint Modelling and Reformulation, Uppsala, Sweden, September 16th, 2013

The workshop was held at the 19th International Conference on the Principles and Practice of Constraint Programming (CP 2013), Uppsala, Sweden, September 16th, 2013.

Available from: 2013-12-17 Created: 2013-12-17 Last updated: 2013-12-20Bibliographically approved

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Lindgren, Tony
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