Lean Manufacturing Industry 4.0 -- 2
Budget: $30 – $250 USD
Part 1: Lean manufacturing case study and critically evaluate the effectiveness of how lean and quality techniques are applied.
Part 2: Within your case study, evaluate how Lean mindset in manufacturing is recently moving towards digitalized Lean and critically evaluate how this will establish a pathway towards Industry 4.0 goals
Part 3: describe a production line within your case study. You need to use Simul8 to demonstrate and validate this system. You have then to modify the product with a suggested improvement from part (I) and part (II) which must entail changes to your system (e.g. a new machine, extra resources, automation, etc) and demonstrate the effect of the change using Simul8 to modify the system. You need to critically evaluate the model and prove its effectiveness.
Part 4: The aim of this part is to make a predictive model for the presented case study by using artificial intelligent model in MATLAB. You can consider the output/result data from Simul8 in Part (III) as and input data for your model. Critically evaluate the results and show how it does improve the effectiveness of the process.
No. of Projects: 2
Requirement: 2 SIMUL8 models each , 2 MATLAB model each. Than comparing results.
Part 2: Within your case study, evaluate how Lean mindset in manufacturing is recently moving towards digitalized Lean and critically evaluate how this will establish a pathway towards Industry 4.0 goals
Part 3: describe a production line within your case study. You need to use Simul8 to demonstrate and validate this system. You have then to modify the product with a suggested improvement from part (I) and part (II) which must entail changes to your system (e.g. a new machine, extra resources, automation, etc) and demonstrate the effect of the change using Simul8 to modify the system. You need to critically evaluate the model and prove its effectiveness.
Part 4: The aim of this part is to make a predictive model for the presented case study by using artificial intelligent model in MATLAB. You can consider the output/result data from Simul8 in Part (III) as and input data for your model. Critically evaluate the results and show how it does improve the effectiveness of the process.
No. of Projects: 2
Requirement: 2 SIMUL8 models each , 2 MATLAB model each. Than comparing results.