Operations management strategy of selecting business location using AHP / Mohd Sahar Sauian
The choice of location is of paramount importance in modern business decision. It has become one of the most important operational strategies in managing operations of large business organizations. The three common approaches of location selections are Factor-Rating Method, the Centre of Gravity App...
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Fakulti Teknologi Maklumat dan Sains Kuantitatif
2006
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Online Access: | http://ir.uitm.edu.my/id/eprint/11653/ http://ir.uitm.edu.my/id/eprint/11653/1/AJ_MOHD%20SAHAR%20SAUIAN%20JTMSK%2006%201.pdf |
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uitm-116532016-09-27T06:25:07Z http://ir.uitm.edu.my/id/eprint/11653/ Operations management strategy of selecting business location using AHP / Mohd Sahar Sauian Sauian, Mohd Sahar Social responsibility of business. Social entrepreneurship Business societies Electronic computers. Computer science The choice of location is of paramount importance in modern business decision. It has become one of the most important operational strategies in managing operations of large business organizations. The three common approaches of location selections are Factor-Rating Method, the Centre of Gravity Approach and the Transportation Model approach. While these approaches are common to the practitioners of operations management, there may be other quantitative tools that can be adopted in deciding location strategies. This paper attempts to highlight the use of Analytic Hierarchy Process (AHP) approach in selecting business location. Fakulti Teknologi Maklumat dan Sains Kuantitatif 2006 Article PeerReviewed text en http://ir.uitm.edu.my/id/eprint/11653/1/AJ_MOHD%20SAHAR%20SAUIAN%20JTMSK%2006%201.pdf Sauian, Mohd Sahar (2006) Operations management strategy of selecting business location using AHP / Mohd Sahar Sauian. Jurnal Teknologi Maklumat dan Sains Kuantitatif, 8 (1). pp. 55-61. ISSN 1823-0822 |
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Digital Repository |
institution_category |
Local University |
institution |
Universiti Teknologi MARA |
building |
UiTM Institutional Repository |
collection |
Online Access |
language |
English |
topic |
Social responsibility of business. Social entrepreneurship Business societies Electronic computers. Computer science |
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Social responsibility of business. Social entrepreneurship Business societies Electronic computers. Computer science Sauian, Mohd Sahar Operations management strategy of selecting business location using AHP / Mohd Sahar Sauian |
description |
The choice of location is of paramount importance in modern business decision. It has become one of the most important operational strategies in managing operations of large business organizations. The three common approaches of location selections are Factor-Rating Method, the Centre of Gravity Approach and the Transportation Model approach. While these approaches are common to the practitioners of
operations management, there may be other quantitative tools that can be adopted in deciding location strategies. This paper attempts to highlight the use of Analytic
Hierarchy Process (AHP) approach in selecting business location. |
format |
Article |
author |
Sauian, Mohd Sahar |
author_facet |
Sauian, Mohd Sahar |
author_sort |
Sauian, Mohd Sahar |
title |
Operations management strategy of selecting business location using AHP / Mohd Sahar Sauian |
title_short |
Operations management strategy of selecting business location using AHP / Mohd Sahar Sauian |
title_full |
Operations management strategy of selecting business location using AHP / Mohd Sahar Sauian |
title_fullStr |
Operations management strategy of selecting business location using AHP / Mohd Sahar Sauian |
title_full_unstemmed |
Operations management strategy of selecting business location using AHP / Mohd Sahar Sauian |
title_sort |
operations management strategy of selecting business location using ahp / mohd sahar sauian |
publisher |
Fakulti Teknologi Maklumat dan Sains Kuantitatif |
publishDate |
2006 |
url |
http://ir.uitm.edu.my/id/eprint/11653/ http://ir.uitm.edu.my/id/eprint/11653/1/AJ_MOHD%20SAHAR%20SAUIAN%20JTMSK%2006%201.pdf |
first_indexed |
2023-09-18T22:48:22Z |
last_indexed |
2023-09-18T22:48:22Z |
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1777417377191821312 |