Forecasting and inventory model for genuine automotive spare parts wholesale distributor
Publication Date
1-1-2020
Document Type
Conference Proceeding
Publication Title
Proceedings of the 2020 IISE Annual Conference
First Page
1282
Last Page
1287
Abstract
The genuine automotive spare parts industry in Thailand has become very competitive in the wholesale market due to the globalization and the increasing number of new wholesale distributors in the past few years. The business owners are striving to improve their supply chain operations and reduce cost. Although accurate demand forecasting and inventory management play a significant role in maintaining a business’s competitiveness, most genuine automotive spare parts wholesale distributors in Thailand are still managing their business manually based on their experiences. In this research, we work with an automotive spare parts wholesale business from Thailand to conduct a comprehensive sales data analysis, and perform a comparative study on different forecasting models including traditional models and machine learning models with the goal to improve their forecast accuracy. Furthermore, we develop an inventory management mechanism that take into consideration of different price schemes offered by suppliers to maximize the expected profit.
Keywords
Automotive wholesale, Data analytics, Forecasting, Inventory management
Department
Industrial and Systems Engineering
Recommended Citation
Norachai Sanguansaringkhan and Hongrui Liu. "Forecasting and inventory model for genuine automotive spare parts wholesale distributor" Proceedings of the 2020 IISE Annual Conference (2020): 1282-1287.
