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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Sinha, A.K. Aditya, H.K. Tiwari, M.K. Chan, F. |
| Copyright Year | 2009 |
| Description | Author affiliation: Department of Industrial and Systems Engineering, The Hong Kong Polytechnic Univ., Hong Kong (Chan, F.) || Industrial Engineering and Management Department, IIT Kharagpur, India (Sinha, A.K.; Aditya, H.K.; Tiwari, M.K.) |
| Abstract | Petroleum industry supply chain is a complex supply chain with large number of processes starting right from extraction till customer delivery. In this paper multi-agent technology has been applied to make the supply chain faster as compared to conventional supply chain practices. Here a representative but exhaustive model is considered, by taking into account the various options available at each agent. Solving this problem requires an advanced Heuristic method like Co-evolutionary Particle Swarm Optimization based on Cauchy distribution which has been precisely made for cost and resource allocation. Cauchy provides a very rapid path towards approaching the solution. The previous work done on the Co-PSO using Gaussian approach is compared with that of Cauchy approach and relevant conclusions drawn. |
| Starting Page | 1349 |
| Ending Page | 1354 |
| File Size | 361763 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424450534 |
| DOI | 10.1109/NABIC.2009.5393741 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-12-09 |
| Publisher Place | India |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Supply chain management Uncertainty Supply chains Industrial engineering Petroleum industry Particle swarm optimization Multi-agent Engineering management Cost function Systems engineering and theory Resource management Co-evolutionary Particle Swarm Optimization Heuristic |
| Content Type | Text |
| Resource Type | Article |
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