Integrated production and distribution scheduling has emerged as an important research topic in the areas of combinatorial optimization and supply chain management. In this thesis we consider problems that occur frequently in the manufacturing of products with a short lifespan or in make-to-order business models, where the production is triggered only if a corresponding customer order is received. The focus is put on the coordination of production and distribution processes to meet the requirements of the customers as closely as possible while at the same time maximizing the revenues of the manufacturer. We analyze a basic production and distribution model and study several extensions in order to incorporate more restrictions from practice. These model extensions lead to complex scenarios that make the class of considered problems very challenging to solve. We address their complexity by developing appropriate heuristic solution methods based on meta-heuristics such as tabu search or iterated local search. Moreover, we evaluate the performance of the proposed algorithms on a set of test instances. Practical applications in which the previously mentioned problems need to be solved include the production and transportation of certain intermediate products like adhesive materials in chemical industry and the delivery of ready-mix concrete from a production plant to several construction sites by a fleet of delivery trucks.
| Identifer | oai:union.ndltd.org:uni-osnabrueck.de/oai:repositorium.ub.uni-osnabrueck.de:urn:nbn:de:gbv:700-201107148199 |
| Date | 14 July 2011 |
| Creators | Viergutz, Christian |
| Contributors | Prof. Dr. Sigrid Knust, Prof. Chris N. Potts |
| Source Sets | Universität Osnabrück |
| Language | English |
| Detected Language | English |
| Type | doc-type:doctoralThesis |
| Format | application/pdf, application/zip |
| Rights | http://rightsstatements.org/vocab/InC/1.0/ |
Page generated in 0.002 seconds