Abstract
Reducing mean Work in Process (WIP) or mean flow time subject to throughput is an important problem in shop floor control. In this paper we present a simulation-based feedback control algorithm called Adaptive Work in Process (AWIP) for setting WIP levels to meet target production rates in self-regulating production control systems. Based on simulation, AWIP gets system information such as machine utilization, queue length, and blocked status of every workstation, and then utilizes this information to adjust WIP levels subject to throughput constraints. The algorithm doesn't require priori information of the system, and is suitable for systems subject to environment changes such as variable demand. We demonstrate the effectiveness of AWIP under a variety of conditions, including single and multi-class of products, simple flow lines, routings with shared resources, and assembly systems. The benefits from this algorithm include: (1) Suitable to many types of system. (2) Near optimal solution. (3) Automatically responds to changes in system.
| Original language | English (US) |
|---|---|
| Pages | 635 |
| Number of pages | 1 |
| State | Published - 2004 |
| Event | IIE Annual Conference and Exhibition 2004 - Houston, TX, United States Duration: May 15 2004 → May 19 2004 |
Other
| Other | IIE Annual Conference and Exhibition 2004 |
|---|---|
| Country/Territory | United States |
| City | Houston, TX |
| Period | 5/15/04 → 5/19/04 |
All Science Journal Classification (ASJC) codes
- General Engineering