Simulation provides a dynamic view of how a real-world process/system will behave under different conditions and test various hypotheses to be able to identify problem areas and find appropriate solutions before implementation, whilst examining different scenarios without disruption or enormous costs.
During this workshop you will cover:
An into on the importance of data/understanding variability and the role it plays in being able to simulate real life supply chains and production systems.
The ranging types of business questions and scenarios that can be answered through the application of discrete event simulation, particularly in this current uncertain environment of COVID-19; through experimenting different ideas without disruption or enormous costs
A hands on introductory session on how to start building simple models to address some of the types of areas highlighted below:
Health and Safety – Investigating Ergonomics, balancing workload and human and machine interactions, achieving social distancing
Sustainability – Investigating Supply Chain and Logistics configuration and impacts on CO2 Emissions, (Erik can you expand on this for us)
Supply Chain Optimisation - Value stream and Lead Time analysis, Bottleneck’s identification and investigation, flow optimization for services (i.e. Quality Control, IT )
Production Systems Design - Studying machine utilization, buffer sizes, resource and staffing optimization, Production scheduling optimization
Engineering and Capital Investments - Investigating the need for new investments, Studying future machine utilization and maintenance and breakdowns
This session will be led by:
Erik Flores, KTH University, Sweden
Dr Jonathan Smyth-Renshaw, Quality Improvement Section, Royal Statistical Society, UK