Utveckling av en optimeringsmodell för upphandlingar inom telefoni

Detta är en M1-uppsats från Lunds universitet/Produktionsekonomi

Författare: Philip Kärde; [2005]

Nyckelord: Technology and Engineering;

Sammanfattning: In 2003 several interesting events occured on the Swedish market for electronic communications. IP-telephony and third generation mobile telephony were launched, and overall the market revenue for fixed call services declined for the second consecutive year. The decline was in particular referable to lower revenues from dial- up access to the Internet as an increasing number of Internet users transferred to some form of fixed connection. The market value for mobile telephony however, continued its increase during the same period. The three network owning mobile operators in Sweden have been topping the list of Europe´s most profitable operators during recent years. Together they control over 95 % of the Swedish market for mobile telephony. As a consequence there has been until now little if any real competition in this market, which has resulted in complex and overpriced services. This appears to have affected the development of usage in Sweden. Finns for example, use their cellular phones twice as much as Swedes. But in 2003 Sweden introduced a new law designed to improve market conditions. During the last two years the mobile operators 3 and Djuice have worked for an increased price awareness among Swedish users. The actions taken by these new market participants have lead to significant price reductions. Because of this development Swedish users are changing mobile operators more often than ever before. The leading mobile operators in Sweden are desperately trying to match this new competition, mainly by means of large advertising campaigns. According to a report from the National Post and Telecom Agency telecomrelated costs with the exception of employee costs are the largest costs for companies. Surprisingly though, companies have difficulties minimizing their costs in this area which is due to several factors. First among these is that it is difficult to compare the complex tenders offererings of the different operators. And even if companies manage to conduct a comparison of tenders, they often do not have access to relevant statistics of their own usage to evaluate the tenders properly. This report describes and develops a model that enables companies to analyze tenders in the telecom area. The model was tested in a case study where the data were partly real, partly simulated. The case study, which also included a sensitivity analysis, consisted of in total nine tenders offered by six operators.

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