Developing a digital computer model of shop floor job execution in a CNC job shop allows for de-risking, layout improvement, and improved production planning and execution in job shops.

Here is how a discrete-evnet simulation tool and/or model can help CNC shop operations:

• Evaluation of alternate cycle time configurations per product family and/or machine (group)
• Testing prefential machine assignment based on e.g. changeover effort, warmup costs, or other criteria
• Analyzing impact of alternate routings per product group
• Evaluating machine capacity plans, work schedules, and machine amount planning per machine group
• Verifying future workload scenarios (e.g. peak time during busy hours), allowing for e.g. backlog forecasting and early backlog warnings

A custom made SCDA job shop simulation model can monitor and report any custom KPI of interest

A simulation model can generate and evaluate many different KPIs. Here are some exemplary KPIs that a job shop simulation would e.g. report:

• Lead time distributions and average lead time estimates
• Machine utilizations
• Inventory levels
• Throughput rates
• Backlog statistics
• Machine failure reports
• Scrap by product group and production order
• Electric power consumption by day, shift, and/or hour
• etc.

While simple model animations are often sufficient for verification an communications, SCDA job shop simulation models can support photo-realistic animations, too

While some CNC job shop simulation model applications might be e.g. integrated into production planning and execution tools as add-on features without any animation capabilities, other simulation models might be delivered with simple 2D animations or photo-realistic 3D animations. Depending on use case, budget, and requirements the appropriate modeling and animation is tailored to each individual project.

A SCDA (CNC) job shop simulation model can cost anywhere from a 300 USD to 30k+ USD, depending KPI and constraint scope, animation scope, and deployment options

Project costs are impacted by various factors, e.g.

• Availability of data
• Clarity of requirements and scope
• Animation capabilities
• Reporting requirements
• Deployment options
• Constraint scope
• KPI scope