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Neural network system for operations management

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Date Issued:
1994
Summary:
Distribution centers and warehouses are becoming more and more dependent on advanced computer technologies to establish and maintain competitiveness in a global economy. Neural network represent a new technology with a wide scope of potential warehouses applications, ranging from planning and forecasting to overall performance. In this dissertation, numerous results are showing increases in warehouse performance, when using neural network technology. The neural network system is used as a forecasting tool. It is then compared to time series forecasting analysis. The comparison process is designed to increase the warehouse performance understudy. At the end of this process, the results are forecasting variables needed to eventually increase warehouse performance and efficiency. Initially, neural networks along with time series are used to make the forecast on inventory control. Then the following step is to let different neural network modules perform the forecasting analysis on other management operations like inventory adjustments, accuracy and turnover, customer complaints and labor productivity for any distribution center or warehouse. The concept of benchmarking is also used, in order to provide tools which will help warehouse management determining performance levels for each subcomponent of the warehouse operations, and consequently the overall performance of the warehouse or distributor center taken into consideration after feeding in the appropriate data to the system.
Title: Neural network system for operations management.
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Name(s): Ezziane, Zoheir Hocine.
Florida Atlantic University, Degree grantor
Mazouz, Abdel Kader, Thesis advisor
College of Engineering and Computer Science
Department of Ocean and Mechanical Engineering
Type of Resource: text
Genre: Electronic Thesis Or Dissertation
Issuance: monographic
Date Issued: 1994
Publisher: Florida Atlantic University
Place of Publication: Boca Raton, Fla.
Physical Form: application/pdf
Extent: 267 p.
Language(s): English
Summary: Distribution centers and warehouses are becoming more and more dependent on advanced computer technologies to establish and maintain competitiveness in a global economy. Neural network represent a new technology with a wide scope of potential warehouses applications, ranging from planning and forecasting to overall performance. In this dissertation, numerous results are showing increases in warehouse performance, when using neural network technology. The neural network system is used as a forecasting tool. It is then compared to time series forecasting analysis. The comparison process is designed to increase the warehouse performance understudy. At the end of this process, the results are forecasting variables needed to eventually increase warehouse performance and efficiency. Initially, neural networks along with time series are used to make the forecast on inventory control. Then the following step is to let different neural network modules perform the forecasting analysis on other management operations like inventory adjustments, accuracy and turnover, customer complaints and labor productivity for any distribution center or warehouse. The concept of benchmarking is also used, in order to provide tools which will help warehouse management determining performance levels for each subcomponent of the warehouse operations, and consequently the overall performance of the warehouse or distributor center taken into consideration after feeding in the appropriate data to the system.
Identifier: 12369 (digitool), FADT12369 (IID), fau:9270 (fedora)
Collection: FAU Electronic Theses and Dissertations Collection
Note(s): College of Engineering and Computer Science
Thesis (Ph.D.)--Florida Atlantic University, 1994.
Subject(s): Operations research
Warehouses
Neural networks (Computer science)--Industrial applications
Held by: Florida Atlantic University Libraries
Persistent Link to This Record: http://purl.flvc.org/fcla/dt/12369
Sublocation: Digital Library
Use and Reproduction: Copyright © is held by the author, with permission granted to Florida Atlantic University to digitize, archive and distribute this item for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires permission of the copyright holder.
Use and Reproduction: http://rightsstatements.org/vocab/InC/1.0/
Host Institution: FAU
Is Part of Series: Florida Atlantic University Digital Library Collections.