Artificial intelligent system for the Malaysian MODENAS production system

• Main Authors: Shaharudin, Mohd Rizaimy, Ishak, Hadzli, Noordin, Nazni, Zakaria, Zaherawati, Sadek, Daing Maruak, Jusoff, Kamaruzaman
• Format: Article
• Published: Institute of Interdisciplinary Business Research 2009
• Online Access: http://psasir.upm.edu.my/id/eprint/13275/

Artificial Intelligent (AI) system in the production process is essential to ensure the overall achievement of the targeted Quality, Cost and Delivery (QCD). A good AI system is one that can promote an effective and relatively inexpensive way of reducing manufacturing defects and increase the quality of output. Mistakes happen in organizations for many reasons, but almost all of them can be prevented, if people make the effort to identify when problems happen, define root causes, and then take the proper corrective actions. The objective is to prevent, or at least, detect and weed out defects, as early as possible in the process. However, it will be the best to eliminate the source of problem forever and not just prevent it from occurring. “Prevention is always better than cure”. This study focus on the categories of Poka-Yoke devices which is prevention and detection as well as method used in Poka-yoke system, Contact Method, Fixed- Value Method and Motion Step Method. The success rate of a process can be vastly improved if self-checks, successive checks and intelligent systems (Poka-yoke) all work together and that will need an atmosphere of continuous improvement which will ultimately lead to reliable products, satisfied customers and empowered workers. In making the Poka-yoke system successful, Poka-yoke devices maintenance must be well taken care so that they could functions efficiently and effectively.