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Fuzzy inventory model on various lead time demand using multi criteria classification approach: A literature review

Inventory cost has become one of the major contributions to enterprise inefficiency.To minimize total cost, an enterprise is urged to manage an effective and efficient inventory system.In this case, an appropriate inventory model is in need. This study aims to propose an optimal inventory model by e...

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Main Authors: Julita, ,, Ginting, Meriastuti
Format: Conference or Workshop Item
Language:English
Published: 2014
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://repo.uum.edu.my/15941/1/P12.pdf
http://repo.uum.edu.my/15941/
http://stmlportal.net/ictom04/TOC.html
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spelling my.uum.repo.159412016-04-18T01:22:38Z http://repo.uum.edu.my/15941/ Fuzzy inventory model on various lead time demand using multi criteria classification approach: A literature review Julita, , Ginting, Meriastuti QA75 Electronic computers. Computer science Inventory cost has become one of the major contributions to enterprise inefficiency.To minimize total cost, an enterprise is urged to manage an effective and efficient inventory system.In this case, an appropriate inventory model is in need. This study aims to propose an optimal inventory model by examining ABC multi-criteria classification approach using FANP (Fuzzy Analytical Network Process) and TOPSIS (Technique of Order Preferences by Similarity to the Ideal Solution) method. This study proposed a continuous review inventory model. 2014-08-18 Conference or Workshop Item PeerReviewed application/pdf en http://repo.uum.edu.my/15941/1/P12.pdf Julita, , and Ginting, Meriastuti (2014) Fuzzy inventory model on various lead time demand using multi criteria classification approach: A literature review. In: 4th International Conference on Technology and Operations Management (ICTOM04), 18-19 August 2014, Kuala Lumpur, Malaysia. http://stmlportal.net/ictom04/TOC.html
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutionali Repository
url_provider http://repo.uum.edu.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Julita, ,
Ginting, Meriastuti
Fuzzy inventory model on various lead time demand using multi criteria classification approach: A literature review
description Inventory cost has become one of the major contributions to enterprise inefficiency.To minimize total cost, an enterprise is urged to manage an effective and efficient inventory system.In this case, an appropriate inventory model is in need. This study aims to propose an optimal inventory model by examining ABC multi-criteria classification approach using FANP (Fuzzy Analytical Network Process) and TOPSIS (Technique of Order Preferences by Similarity to the Ideal Solution) method. This study proposed a continuous review inventory model.
format Conference or Workshop Item
author Julita, ,
Ginting, Meriastuti
author_facet Julita, ,
Ginting, Meriastuti
author_sort Julita, ,
title Fuzzy inventory model on various lead time demand using multi criteria classification approach: A literature review
title_short Fuzzy inventory model on various lead time demand using multi criteria classification approach: A literature review
title_full Fuzzy inventory model on various lead time demand using multi criteria classification approach: A literature review
title_fullStr Fuzzy inventory model on various lead time demand using multi criteria classification approach: A literature review
title_full_unstemmed Fuzzy inventory model on various lead time demand using multi criteria classification approach: A literature review
title_sort fuzzy inventory model on various lead time demand using multi criteria classification approach: a literature review
publishDate 2014
url http://repo.uum.edu.my/15941/1/P12.pdf
http://repo.uum.edu.my/15941/
http://stmlportal.net/ictom04/TOC.html
_version_ 1644281840139239424
score 13.211869

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