| 초록 |
Stricter environmental rules, product specifications, and narrow profit margins are forcing many companies to seek better way to run their operations to remain more competitive. In addition these considerations are applied to new facilities being planned, extensively affect the existing plants to be revamped for operating flexibility with minimizing the environmental harm. This is why the pipeless plants have been focused as a major innovator in chemical engineering industries due to Niwa (1993, 1994) evaluated the operation of pipeless plant to show the outstanding performance in operation and investment cost, flexible operation, and operation time. Pantelides et al. (1995) provided multi-period mixed integer programming model using systematic and rigorous approach to the optimal detailed short-term scheduling of pipeless plants. Computational complexities were caused by accommodating the flexibility of equipment, especially moving vessel transported by automated guided vehicles (AGV). A number of binary variables describing the discrete motion of moving vessel, therefore, resulted in long computation time.The objective of this work is to develop a continuous time mixed integer linear programming (MILP) optimization model for the short-term scheduling of pipeless batch plant. Continuous time model for multiproduct batch processes was already addressed by Pinto (1995). The transferring time of moving vessel is considered and reentrant production flows are assumed to be another production flows.
|
