Intermittent demand forecasting for inventory control : the impact of temporal and cross-sectional aggregation

Thesis: M. Eng. in Supply Chain Management, Massachusetts Institute of Technology, Supply Chain Management Program, May, 2020

Bibliographic Details
Main Author: Chau, Ngan Ngoc.
Other Authors: Nima Kazemi.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2020
Subjects:
Online Access:https://hdl.handle.net/1721.1/127107
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author Chau, Ngan Ngoc.
author2 Nima Kazemi.
author_facet Nima Kazemi.
Chau, Ngan Ngoc.
author_sort Chau, Ngan Ngoc.
collection MIT
description Thesis: M. Eng. in Supply Chain Management, Massachusetts Institute of Technology, Supply Chain Management Program, May, 2020
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spelling mit-1721.1/1271072020-09-04T03:20:43Z Intermittent demand forecasting for inventory control : the impact of temporal and cross-sectional aggregation Chau, Ngan Ngoc. Nima Kazemi. Massachusetts Institute of Technology. Supply Chain Management Program. Massachusetts Institute of Technology. Supply Chain Management Program Supply Chain Management Program. Thesis: M. Eng. in Supply Chain Management, Massachusetts Institute of Technology, Supply Chain Management Program, May, 2020 Cataloged from the official PDF of thesis. Includes bibliographical references (pages 57-64). Managing intermittent demand is a challenging operation in many industries since this type of demand is difficult to forecast. This challenge makes it hard to estimate inventory levels and thus affects service levels. The purpose of this study is to examine the impact of multiple levels of data aggregation on forecasting intermittent demand, and subsequently, on inventory control performance. In particular, we propose a procedure that integrates lead-time and customer heterogeneity into the forecasting using temporal and cross-sectional aggregation. Using data from a real-world setting and simulation, our analysis revealed that when high service levels were important for the company operations, the forecasting approach using temporal aggregation that incorporates lead-time information yielded a higher level of inventory efficiency in terms of both the holding cost and the realized service level. It appeared that when forecasts using temporal aggregation were augmented with information about customer behavior, their purchase patterns might be a helpful consideration for enhancing inventory performance. These findings allow us to provide useful recommendations for improving the current forecasting procedure and inventory control to the sponsor company of this project. by Ngan Ngoc Chau. M. Eng. in Supply Chain Management M.Eng.inSupplyChainManagement Massachusetts Institute of Technology, Supply Chain Management Program 2020-09-03T17:47:15Z 2020-09-03T17:47:15Z 2020 2020 Thesis https://hdl.handle.net/1721.1/127107 1191834872 eng MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided. http://dspace.mit.edu/handle/1721.1/7582 64 pages application/pdf Massachusetts Institute of Technology
spellingShingle Supply Chain Management Program.
Chau, Ngan Ngoc.
Intermittent demand forecasting for inventory control : the impact of temporal and cross-sectional aggregation
title Intermittent demand forecasting for inventory control : the impact of temporal and cross-sectional aggregation
title_full Intermittent demand forecasting for inventory control : the impact of temporal and cross-sectional aggregation
title_fullStr Intermittent demand forecasting for inventory control : the impact of temporal and cross-sectional aggregation
title_full_unstemmed Intermittent demand forecasting for inventory control : the impact of temporal and cross-sectional aggregation
title_short Intermittent demand forecasting for inventory control : the impact of temporal and cross-sectional aggregation
title_sort intermittent demand forecasting for inventory control the impact of temporal and cross sectional aggregation
topic Supply Chain Management Program.
url https://hdl.handle.net/1721.1/127107
work_keys_str_mv AT chaunganngoc intermittentdemandforecastingforinventorycontroltheimpactoftemporalandcrosssectionalaggregation