March 10, 2015
Discrete Event Simulation software is well established in the armoury of tools used by large manufacturers to increase their efficiency and reduce their costs. Two constraints that initially makes the tool less attractive to small and medium are the skills required to set up the simulation and the availability of appropriate computing power.
This special use case implemented a process optimisation tool, suited to the needs of a cutting tools manufacturing company.
Cutting Tools (www.cut-tools.co.uk) is a manufacturing SME and is a flat-bed tool maker for industry, and provides cutting services for customers. These tools are produced for customers who then use them to perform precision cutting tasks. Customers come from a whole range of industries from automotive, aerospace, medical, pharmaceutical, printing, to shoe making and packaging industries.
Cutting Tools costs are very high with regard to raw materials such as steel cutting blades and plywood bases for the tool products. In order to enhance their business process management, SIMUL8 and Saker Solutions developed an application which is SIMUL8 is able to run many scenarios of different order types and manufacturing process configurations to provide the optimal vision for the best process efficiency.
Specifically, the experiment concentrated on 3 key business objectives:
- Capital Investment Planning – providing the company with a vision for the optimal investments for improving efficiency, throughput and capacity to take on larger orders.
- Production Planning and optimisation – a vision through cloud-based simulation for the best use of all production resources (staff, machines, and designing).
- Performance Evidence – Vision to show large customers that the company has the Process Capability to undertake new orders.
- Save money – Each above mentioned objectives should be reached at an affordable price through the HPC and Simulation software via the Cloud
This screenshot shows the addition of extra machines at the blade bending process as part of the experiment to look at capital investment planning as a means of reducing the bottlenecks at that process.