PT$.$ TechPro, an electronics manufacturing company, faced challenges in optimizing their production processes and understanding customer behavior. They want to integrate Agent Based Modeling and Simulation $($ABMS$)$ techniques with Data Mining and Big Data Analytics to increase their operational efficiency and forecast market trends more accurately.PT$.$ TechPro is an electronic equipment manufacturer based in Batam. They produce various electronic products, from smartphones to IoT devices.

Challenge:

a$.$ Understand customer behavior and their preferences for certain products.

b$.$ Increase production efficiency and reduce lead times in the supply chain.

c$.$ Forecast product demand to avoid stock shortages or excess inventory.

PT$.$ TechPro implements the following steps to carry out its operations, including:

$1.$ Integration of ABMS with Data Mining: Building an ABMS model that includes agents representing customers, suppliers, and production facilities. Using Data Mining techniques to analyze historical sales data, customer behavior and raw material availability.

$2.$ Big Data Analytics and AI for Market Prediction: Applying Big Data Analytics and AI technology to analyze large volumes of market data, consumer trends and other external factors that can influence product demand. Build predictive models to accurately forecast product demand.

$3.$ Production Process Optimization: Using ABMS analysis results to identify areas within the production facility that can be optimized. Implement recommendations from the ABMS to improve operational efficiency, reduce lead times, and avoid excess inventory.

Question:

a$.$ Create an ODD Protocol from the case study above!

b$.$ As an Industrial Engineer, Why PT$.$ TechPro decides to integrate ABMS with Data Mining and Big Data Analytics in its operations?