With the rapid shortening of product life cycle and the increase of product variety, companies need to launch new products as fast as possible to meet the needs of the customers; as a result, the operation management, as well as product design, gets increasingly more and more complicated, which in turn demonstrates the importance of setup-cost control when companies change over different products. With the help of simulation tools developed in the APS, we can arrive at an approximated optimal solution and reduce the operating cost of companies. With the above-mentioned scenario, Julia comes into the picture. Julia boasts its high computational power and the APS module can run loads of simulations using it. In addition, Julia’s readability along with the multiple dispatch mechanism makes it easier to cater to the needs of different scheduling projects. This case study shares some insights into the role that Julia takes on in a production system and the influence it exerts on the operating cost of the companies.
Roy Tseng is currently an operation research engineer solving large-scale
scheduling projects in manufacturing areas. He has three years of scheduling experience and has developed APS modules. He has knowledge related to production management and optimization.
I am currently a master studying industrial engineering and engineering management at National Tsinghua University. My interests mainly lies in scheduling and networking problems as applied in manufacturing environments.