Decision support system in an international-voice-services business company

The Indonesian Operations Research Association (IORA) - International Conference on Operations Research 2016

Hadianti, R.^1 ; Uttunggadewa, S.^1 ; Syamsuddin, M.^1 ; Soewono, E.^1

Research Consortium of Financial Modeling, Optimization and Simulation, Center for Mathematical Modeling and Simulation, Gedung Labtek III Lt. 1 Jalan Ganesha 10, Bandung

40132, Indonesia^1

关键词: Business companies;    Business partnership;    Comprehensive information;    Controlling costs;    Decision modeling;    Decision supports;    International telecommunications;    Revenue maximization;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/166/1/012006/pdf
DOI  :  10.1088/1757-899X/166/1/012006

来源: IOP

【 摘 要 】

We consider a problem facing by an international telecommunication services company in maximizing its profit. From voice services by controlling cost and business partnership. The competitiveness in this industry is very high, so that any efficiency from controlling cost and business partnership can help the company to survive in the very high competitiveness situation. The company trades voice traffic with a large number of business partners. There are four trading schemes that can be chosen by this company, namely, flat rate, class tiering, volume commitment, and revenue capped. Each scheme has a specific characteristic on the rate and volume deal, where the last three schemes are regarded as strategic schemes to be offered to business partner to ensure incoming traffic volume for both parties. This company and each business partner need to choose an optimal agreement in a certain period of time that can maximize the company's profit. In this agreement, both parties agree to use a certain trading scheme, rate and rate/volume/revenue deal. A decision support system is then needed in order to give a comprehensive information to the sales officers to deal with the business partners. This paper discusses the mathematical model of the optimal decision for incoming traffic volume control, which is a part of the analysis needed to build the decision support system. The mathematical model is built by first performing data analysis to see how elastic the incoming traffic volume is. As the level of elasticity is obtained, we then derive a mathematical modelling that can simulate the impact of any decision on trading to the revenue of the company. The optimal decision can be obtained from these simulations results. To evaluate the performance of the proposed method we implement our decision model to the historical data. A software tool incorporating our methodology is currently in construction.