CAPEX efficiency and service quality improvement via tower sharing in the Indonesian telecommunication industry: optimisation model using comparison of genetic algorithm and simulated annealing methods. (2017)
- Record Type:
- Journal Article
- Title:
- CAPEX efficiency and service quality improvement via tower sharing in the Indonesian telecommunication industry: optimisation model using comparison of genetic algorithm and simulated annealing methods. (2017)
- Main Title:
- CAPEX efficiency and service quality improvement via tower sharing in the Indonesian telecommunication industry: optimisation model using comparison of genetic algorithm and simulated annealing methods
- Authors:
- Firli, Anisah
Primiana, Ina
Kaltum, Umi
Oesman, Yevis Marty
Herwany, Aldrin
Azis, Yudi
Yunani, Akhmad - Abstract:
- Fierce competition among operators and low-profit business, a decrease in ARPU and ROI, and an increase in CAPEX have all challenged the telecommunication operators to manage their operational activities more efficiently. The high CAPEX of BTS towers is a burden on the telecommunication industry in Indonesia. Its 'single tower, single operator' system is an indication that the operational activities in the Indonesian telecommunication industry are not being run optimally. This research aims to examine the relationship between capacity and location of towers, and their impacts on CAPEX efficiency and service quality improvement. This research uses genetic algorithm and simulated annealing methods. The significance of this research is in its novel contribution, namely clarifying the relationship between capacity, location, CAPEX, and service quality. In comparison, the previous research only used a single optimisation method, while this research uses two, thus providing a better formulation for future research. In conclusion, this research aims to examine how optimum capacity and location affect CAPEX efficiency and improve service quality. The simulated annealing method has been proven to be the best method to address the issues discussed here.
- Is Part Of:
- International journal of services, economics and management. Volume 8:Number 1/2(2017)
- Journal:
- International journal of services, economics and management
- Issue:
- Volume 8:Number 1/2(2017)
- Issue Display:
- Volume 8, Issue 1/2 (2017)
- Year:
- 2017
- Volume:
- 8
- Issue:
- 1/2
- Issue Sort Value:
- 2017-0008-NaN-0000
- Page Start:
- 90
- Page End:
- 108
- Publication Date:
- 2017
- Subjects:
- capital expenditure -- service quality -- capacity -- location -- optimisation -- genetic algorithm -- simulated annealing
Service industries -- Management -- Periodicals
Service industries -- Economic aspects -- Periodicals
658 - Journal URLs:
- http://www.inderscience.com/ ↗
http://www.inderscience.com/jhome.php?jcode=ijsem ↗
http://www.inderscience.com/browse/index.php?journalID=26 ↗ - Languages:
- English
- ISSNs:
- 1753-0822
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 8959.xml