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A heuristic for minimizing inventory and transportation costs of a multi – item inventory – routing system
| Content Provider | Semantic Scholar |
|---|---|
| Author | Sindhuchao, Sombat |
| Copyright Year | 2005 |
| Abstract | A heuristic for for minimizing inventory and transportation costs of a multi–item inventory–routing system is proposed in this paper. The system considered consists of a set of geographically dispersed suppliers and a central warehouse. Each supplier manufactures one or more non–identical items. The items are jointly replenished with an economic order quantity (EOQ) inventory policy and collected by a fleet of capacitated vehicles dispatched from the central warehouse with a frequency constraint. The warehouse stocks these unique items which face constant and deterministic demands from outside retailers. A constructive heuristic, a local search algorithm and a greedy randomized adaptive search procedure (GRASP) are developed for the inventory–routing problem. Solutions obtained from the GRASP are compared with the lower bound on the total costs obtained from a column generation approach. Computational experiments conducted on randomly generated problems show that the GRASP performs efficiently in finding good solutions. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.as.nida.ac.th/ornet/conf05/paper_orconf48/_6_Sombat_GRASPpaper.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
