Degree
Master of Science in Computer Science
Department
Department of Computer Science
School
School of Mathematics and Computer Science (SMCS)
Date of Submission
Fall 2022
Supervisor
Dr. Tariq Mahmood, Professor and Program Coordinator MS (CS) and MS (DS) Programs, Department of Computer Science
Abstract
This project is aimed to solve industry related real-time problem based on Material Requirement Planning (MRP) data. In MRP, SAP uses following MRP Types: 1. PD 2. VM 3. VB The above MRP Types are set monthly to adjust inventory as per the requirements of the plant. The detail of Types is as under: PD: These type of materials are set manually as per the requirement. VM: These type of materials are set automatically by SAP based on consumption of data. However, Safety Stock and Replenishment are done manually. VB: These type of materials are set automatically by SAP using SAP’s forecasting method. So the forecasting is not done in SAP and not visible to end users in order to optimize inventory. A lot of effort is done to make to evaluate the material consumptions manually and then its MRP Type is adjusted. In order to solve this industry related problem, real dataset of MRP data of one of the largest manufacturing plant of Pakistan has been taken and working model will be developed using Time Series Forecasting in Python.
Document Type
Restricted Access
Submission Type
Research Project
Recommended Citation
Shaikh, Faheem. "Inventory Optimization with Time Series Forecasting." Unpublished graduate research project. Institute of Business Administration. 2022. https://ir.iba.edu.pk/research-projects-mscs/17
The full text of this document is only accessible to authorized users.
