Syarif, Admi and Gen, Mitsuo (2010) Solving an Extended Logistic Model by Hybrid Genetic Algorithm. In: The 11th Asia Pacific Industrial Engineering and Management Systems Conference, 7-10 Desember 2010, Malaka.
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Abstract
In recent decade, there have been intensive research works on logistics design system because of its great use in public distribution. Huge research efforts have been devoted to studying many variants of logistic problems. The common objective is to determine overall production strategy, inventory strategy and flow of products through some facilities in order to minimize cost or maximize profit. In this paper, we introduce a more realistic logistics model that includes transportation model and multi-depot Vehicle Routing Model. By assuming that the plant capacities and the customer demand are known in advance from past statistical data, we examine how the distribution centers should be designed and how the product should be produced and transported. We propose a genetic algorithm approach which is hybridized with a local search method to solve the problem. We report several numerical experiment results to show the effectiveness of the proposed method.
| Item Type: | Conference or Workshop Item (Keynote) |
|---|---|
| Subjects: | T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General) |
| Divisions: | Fakultas Matematika dan Ilmu Pengetahuan Alam (FMIPA) > Prodi Ilmu Komputer |
| Depositing User: | DR Admi Syarif |
| Date Deposited: | 03 Sep 2020 07:25 |
| Last Modified: | 03 Sep 2020 07:25 |
| URI: | http://repository.lppm.unila.ac.id/id/eprint/23878 |
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Solving an Extended Logistic Model by Hybrid Genetic Algorithm. (deposited 04 Aug 2020 01:54)
- Solving an Extended Logistic Model by Hybrid Genetic Algorithm. (deposited 03 Sep 2020 07:25) [Currently Displayed]
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