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Assoc. Prof. Naragain Phumchusri, Ph.D.

Overview

Dr. Naragain Phumchusri is an associate professor at the Department of Industrial Engineering, Chulalongkorn University, Thailand. She received her Ph.D. in Industrial Engineering from Georgia Institute of Technology, Atlanta, GA, USA in 2010. Her current research interests include stochastic models for revenue management, machine learning for demand forecasting, inventory optimization, warehouse & supply chain management, data analysis for tourism industry and promotion optimization in retails.

Education

Ph.D. in Industrial Engineering
Georgia Institute of Technology, United States, 2010

Master of Science in Industrial Engineering
Georgia Institute of Technology, United States, 2006

B.Eng. in Industrial Engineering
Chulalongkorn University, Thailand, 2004

Expertise

Statistics & Data Analysis

Publications

35 entries « 1 of 4 »

2024

Naragain Phumchusri, Thiti Chewcharat, Supawish Kanokpongsakorn

Price promotion optimization model for multiperiod planning: a case study of beauty category products sold in a convenience store chain Journal Article

In: Journal of Revenue and Pricing Management, vol. 23, no. 2, pp. 164 – 178, 2024, (Cited by: 2).

Links | BibTeX

Naragain Phumchusri, Nichakan Phupaichitkun

Sales prediction hybrid models for retails using promotional pricing strategy as a key demand driver Journal Article

In: Journal of Revenue and Pricing Management, 2024, (Cited by: 1).

Links | BibTeX

2023

Naragain Phumchusri, Mookarin Thongoiam

Identifying target customer needs for a Master’s Degree Program in Industrial Engineering by conjoint analysis and Kano model Journal Article

In: Model Assisted Statistics and Applications, vol. 18, no. 2, pp. 135 – 147, 2023, (Cited by: 0).

Links | BibTeX

Naragain Phumchusri, Warot Kosawanitchakarn, Sirawich Chawanapranee, Sirawish Srimook

Evaluating promotional pricing effectiveness using convenience store daily sales data Journal Article

In: Journal of Revenue and Pricing Management, vol. 22, no. 5, pp. 362 – 373, 2023, (Cited by: 3; All Open Access, Bronze Open Access).

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Tirawat Jarukajornjinda, Naragain Phumchusri

Time Series and Machine Learning methods for Demand Forecasting: A case study of machine seller in prefabricated concrete industry Conference

2023, (Cited by: 0).

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Naragain Phumchusri, Phongsatorn Amornvetchayakul

Machine learning models for predicting customer churn: a case study in a software-as-a-service inventory management company Journal Article

In: International Journal of Business Intelligence and Data Mining, vol. 24, no. 1, pp. 74 – 106, 2023, (Cited by: 1).

Links | BibTeX

Naragain Phumchusri, Poonnawit Suwatanapongched

Forecasting hotel daily room demand with transformed data using time series methods Journal Article

In: Journal of Revenue and Pricing Management, vol. 22, no. 1, pp. 44 – 56, 2023, (Cited by: 7).

Links | BibTeX

2022

Chayakorn Auppakorn, Naragain Phumchusri

Daily Sales Forecasting for Variable-Priced Items in Retail Business Conference

2022, (Cited by: 4).

Links | BibTeX

Mookarin Thongoiam, Naragain Phumchusri

Identifying Customer Needs for a Master’s Degree Program in Industrial Engineering: A Case Study from Prospective Students’ Insights Conference

2022, (Cited by: 0).

Links | BibTeX

Pattraporn Jirapatsil, Naragain Phumchusri

Market Basket Analysis for Fresh Products location improvement: A case study of E-Commerce Business Warehouse Conference

2022, (Cited by: 1).

Links | BibTeX

35 entries « 1 of 4 »

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