Introduction to our project
Since the Great East Japan Earthquake, a lot of companies and families are efforts to power-saving. By their efforts, a lot of power has been saved, and we succeed to avoid the massive blackout. But sometimes the electricity saving is not necessary, and a lot of place use electricity saving as an excuse to cut the electricity cost. The customers hate it. They don't like the low quality services as they are paying the same fee as before. On the other side, the efficiency of the companies has been reduced because the deterioration of working conditions. But the companies can't deny it because the power-saving is a must-be-done thing for the companies. In conclusion, the unnecessary power-saving have a big influence to the daily life and can even lead to a recession.
Our objective is using the money which saves from the equalization of the electricity to promote economics. We will make a system considering about both society and every individual person, a system which will both save energy and promote the economics. We will not force anyone to do the things that they don't want, we want to let the customer and the shops and the electricity companies are both being happy during the energy saving. We will rank the shops according to their efforts to the power-saving at the peak time. The user will get more points when go shopping at a shop with a higher rank. So the shops will try to save all the energy they can to get more attractive to the customer, and the action will being controlled in a reasonable range or the customer will not come.
Our system can be used in a large scope. From a micro perspective, we will offer a system that manages every individual person's energy. From a macro perspective, we want to cooperate with the existing location-oriented energy management system, in order to evaluating the rank, which is already covered almost all the Kanto Area, and even all the Japan. So theoretically, we can cover every people and every shop which use electricity as energy.
Methods and results used to address the problem
We used CVCA and WCA to analysis the link between stakeholders and guess what they want. From this, we got some information that the customers don't want to save energy just for the social contribution. The shops don't want to save energy because it will cause no customer to come. We concluded that if we offer them some profits, they may help or even make effort to save energy. We interviewed the stakeholders and get a positive response.
We used Brainstorming and Scenario Graph to decide using point system to solve the problem. By confirmation other tools like Value Graph and Pugh Selection, we believe that point system will work.
Conclusions and recommendations
With our system, the shops get happy because they can improve their competitiveness, the shops get happy because they can buy cheaper things go shopping, the electricity companies get happy because they can now achieve a stable electricity supply. So it's a win-win-win model. In order to avoid the risk that the shops stop saving energy after get a high rank, we recommend giving the shops a new rank periodically. When the system is not been acceptance widely, we recommend cooperating with some chain shops to promote our system. We can get profit by if we have over 1000 shops join us by our business model for managing the system.
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