location: Current position: Home >> Scientific Research >> Paper Publications

A HYBRID SIMULATION MODEL FOR OPTIMAL COLOR-BATCHING RESEQUENCING IN PAINT SHOP

Hits:

Indexed by:会议论文

Date of Publication:2019-01-01

Included Journals:EI、CPCI-S

Volume:2019-July

Key Words:hybrid model; color-batching; order resequencing strategy; paint shop; automotive industry

Abstract:Order resequencing of sequential production lines is a critical daily challenge in automotive industry. Simulation models can evaluate production status, but it needs to be improved for more accurate resequencing visualization, simulation and optimization. In this paper, a high-fidelity hybrid simulation model is being developed to support managing of production control department. This aims to understand and control the dynamic behavior of paint shop production system with respect to hidden causes of order resequencing in daily work. Being calibrated by real-world paint shop production data resources, this model can visualize, approximate, and analyze the complex interaction in order production flow of the paint shop. Furthermore, a resequencing strategy that tackles color-batching problem is developed and implemented on the proposed hybrid model to evaluate paint shop production performance.

Pre One:基于弹复性的交通网络应急恢复阶段策略优化

Next One:低碳政策下考虑道路拥堵的多式联运路径选择问题