Data capture and pre-processing:

For the lean type of manufacturing, we need a type of strategy for operation analytics or manufacturing analytics to estimating the required input to get an accurate output for the required simulation unit.If the designing needs to start from scratch with having some basic design idea and not having any existing plant is called green field approach. If having existing plant at site and need to increase the plant production by connecting with the existing site data to get a better output with analysis is called brown field. This gives the availability of required inputs for better results. So we need a type of approach for making the model for lean simulation.

Modeling: generation/fitting of analytical surfaces

With the inputs the designing of plant in 3D will start modeling with available data and also with our ideology of designing plant. Initially we need updated layout with accurate dimensions as per site data or existing. Create the pillars data and walls to get the basic structure. After the creation of total structure, we need internal equipments and available floor space as per site if existing or plan as per design idea. This results in the creation of 3D with basic process flow as per our requirements.

With final output 3D model, we need a data simulation report for the analysing the output production rate as per the real-time production sequence for all the production data analysis. With the available data base after simulation using dashboard the output of all the parameters has been analyzed and the reports has been analyzed with the sequence of crated process flow. These reports include output, Input required, dwell time of machine, total process time, stay time etc…, using pie and bar charts. The final output gives the estimation and major requirements of existing plan results on reducing waste of time and money gives better comparative profits.