haku: @keyword sensor / yhteensä: 32
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| Tekijä: | Sadeque, Ahsan |
| Työn nimi: | Fit to Perform: Open API Platform development based on Agile User Needs |
| Julkaisutyyppi: | Diplomityö |
| Julkaisuvuosi: | 2015 |
| Sivut: | 92 s. + liitt. 7 Kieli: eng |
| Koulu/Laitos/Osasto: | Perustieteiden korkeakoulu |
| Oppiaine: | Service Design and Engineering ; Innovation & Entrepreneurship (SCI3022 ; SCI3100) |
| Valvoja: | Saikkonen, Heikki ; Sidorova, Natalia |
| Ohjaaja: | Brunner, Jos |
| Elektroninen julkaisu: | http://urn.fi/URN:NBN:fi:aalto-201512165658 |
| Sijainti: | P1 Ark Aalto 3323 | Arkisto |
| Avainsanat: | API platform cost analysis location awareness sensor model service design |
| Tiivistelmä (eng): | Health-Care intelligent services are becoming an integral part of the professional work life. Fit to Perform, an EIT digital designed multi-stakeholder project, wants to introduce an open service innovation framework that intends to improve the health and wellbeing of the professional long-haul truck drivers by augmenting physiological sensor data to the existing Vehicle Intelligent Fleet Management Systems (FMS). Currently, organizations in the trucking sector adopt a closed system that cannot easily integrate physiological data. Moreover, the project aims to expose the physiological and vehicle sensor data locally, for developing innovative new services for trucking sector, to the independent third party. The project aims to introduce this open service innovation framework by creating an open API platform. The open API platform can be developed in many ways yet the capability of the platform depends on the extent the platform provides the correlated information. Therefore, in the first part of this research we identify the required information the open API platform needs to provide to enable new innovative services (user needs) by identifying the problems of long-haul truck drivers. In this research, we conduct a review of physiological, vehicle and external parameters (location-awareness) that model Fit to Perform. Fit to Perform being an agile project aims to introduce an MVP in the market with a staged delivery of most important needs. The important user needs can be collected via interviews, observations, surveys and focus groups, however, they do not sufficiently capture the user expectation, critical for the success of the product or service in the market. Therefore, the challenge for identifying the importance lies in determining the user's satisfaction impact for a particular need. This study proposes a methodology for classification and prioritization of the user needs in an agile perspective while identifying the user satisfaction impact for a particular need. Fit to Perform aims to provide cheap affordable services to the trucking sector. To provide the information required to deliver services in real-time environment data needs to be transferred over the mobile network. Since most of the time trucks are driving cross borders for deliveries, therefore, the roaming mobile data costs for data transfer could render the system infeasible. Hence, in the second part of the study we identify the infrastructure cost associated with the API platform and the services that are going to be provided to the truck drivers in a real-time environment. This study proposes a cost model, modeling the key infrastructure cost- influencers of the Fit to Perform solution. The cost analysis in this study analyses sustainable system configuration by analyzing the variation in the overall system costs of two system configurations. The open service innovation framework in Fit to Perform requires that domain specific project stakeholder could independently provide specific information context (physiological, vehicle and external). While at the same time exposing this information to the third parties to realize new services both locally on the in-cabin device and over the cloud. Finally, in this study we propose an architecture of the open API platform identifying the data acquisition, data storage and data exposing components. Further, the study provides a design and describes the organization and interfacing between the components to realize the open API platform. The thesis has been conducted during a six-month internship at Philips Research. The work presented in this thesis is evaluated and examined based on a case study from the industry. |
| ED: | 2016-01-17 |
INSSI tietueen numero: 52782
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