Towards a simulation-based optimization approach to integrate supply chain planning and control
| Autor: | Enzo Morosini Frazzon, Michael Freitag, Mirko Kück, Matheus Cardoso Pires, Apolo Mund Carreirao Danielli |
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| Rok vydání: | 2018 |
| Předmět: |
0209 industrial biotechnology
Computer science media_common.quotation_subject Supply chain 05 social sciences Control (management) Complex system 02 engineering and technology Industrial engineering Interdependence 020901 industrial engineering & automation Simulation-based optimization 0502 economics and business Convergence (routing) General Earth and Planetary Sciences Production (economics) Quality (business) 050203 business & management General Environmental Science media_common |
| Zdroj: | Procedia CIRP. 72:520-525 |
| ISSN: | 2212-8271 |
| Popis: | Manufacturing organizations aim to adopt integrated supply chain planning to improve their operational performance. Technologies driving the 4th Industrial Revolution can support them by providing real-time data from physically distributed processes. However, in order to achieve an optimal allocation of interdependent production, inventory and transport resources, several planning and control problems have to be considered, which pose theoretical and computational challenges. In this direction, the challenges of dynamic supply chains can be addressed using adaptive simulation-based optimization and Industry 4.0 technologies. Therefore, this research proposes an adaptive simulation-based optimization approach to integrate manufacturing supply chain planning tasks. This approach is capable of dealing with complex systems as well as considering a dynamic environment with stochastic behavior. Finally, a test case is presented to evaluate the computation time feasibility and quality of the solutions provided by the method. In the present application, the method provided a convergence to a best solution in different experiments within a short amount of time, coping with the requirements of complex and uncertain scenarios. |
| Databáze: | OpenAIRE |
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