ANPIP Production Planning Model
Most production systems are more or less homogenous. Some are really heterogeneous: routings with high variation in the number of operations, simultaneous make to stock, make to forecast and make to order (on the same work centers), high level of variation in lead times. This is particularly the case in some aeronautical manufacturing facilities. Those systems cannot be controlled with classical approaches. This research has been conducted in a leading jet engine company. The proposed model, ANPIP (Adaptive Number of Part In Process) is simultaneously an executive model (inspired by the classical CONWIP model) and a Rough Cut Capacity Planning that integrates make to orders (experimental parts), make to forecasts (low volume regular production parts using Push approach) and make to stock (high volume regular production parts using a Pull approach) to optimize available capacity. At the executive level, the proposed model uses, for each cell, a wheel that represents the production release of each part. This wheel is basically a cyclic scheduling with variable parts. It helps production technicians to better understand the logic behind their work. At the mid term level (rough cut capacity planning) those wheels are used as a model of the required and available capacity. A simulation of the ANPIP model based on historical data shows that the use of the model can reduce the Work In Process by 27％ and the average waiting time by 24％.
Production planning Manufacturing Research and Development Simulation
Nicolas RENAUD Pierre BAPTISTE
(E)cole Polytechnique,Montreal,Canada
国际会议
北京
英文
2007-05-30（万方平台首次上网日期，不代表论文的发表时间）