Abstract
A factory consists of numerous production workstations, multiple production lines and many production floors. Due to the characteristics of just-in-time and make-to-order mode manufacturing, small batches of production materials are required for production lines within a short period of time in order to facilitate daily production operations. In this paper, a real-time warehouse operation planning system (R-WOPS) for solving small batch replenishment problems is described. Through using R-WOPS, real-time production and warehouse operations are monitored by radio frequency identification (RFID) technology, and a genetic algorithm (GA) technique is applied to formulate feasible small batch replenishment solutions. Simulation tests show that R-WOPS generates pick-up and delivery route plans for small batch replenishment orders very efficiently.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 8524-8537 |
| Number of pages | 14 |
| Journal | Expert Systems With Applications |
| Volume | 38 |
| Issue number | 7 |
| DOIs | |
| State | Published - Jul 2011 |
All Science Journal Classification (ASJC) codes
- General Engineering
- Computer Science Applications
- Artificial Intelligence
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