Raw Material Minimum Order Quantity Optimization
Name
Shenoy_Zhao_2019.pdf
Size
513.2 KB
Format
Adobe PDF
Checksum (MD5)
b17d71c1dadaa5a783162510e82bd3e7
Author(s)
Shenoy, Shilpa
Zhao, Ai
Date Issued
2019
Abstract
The sponsoring company, wants to review their raw material ordering policy and production plan for one of their product segments. This product faces a high degree of volatility in demand and the company currently orders one month of demand worth of products from the suppliers. The suppliers offer incremental discounts for larger quantities of raw materials ordered, and the company wants to leverage this discount better. To that end, our research focuses on how to optimize the raw material ordering policy in a way that reduces the total costs, while storing sufficient raw materials to ensure continuity of the production plan. The model we developed provides the optimal minimum order quantity (MOQ) to use while re-ordering raw materials. It also incorporates a switching rule that automatically switches the MOQ value to a higher or lower value depending on the demand forecast and determines the order quantity (OQ) of the raw material.
Subjects
Optimization
Sourcing
Demand Planning
Inventory
Persistent DSpace Link
