Information Management of Material Supply Chain in Electricity Distribution Network Construction
Laapotti, Arttu (2015)
Laapotti, Arttu
2015
Sähkötekniikan koulutusohjelma
Tieto- ja sähkötekniikan tiedekunta - Faculty of Computing and Electrical Engineering
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Hyväksymispäivämäärä
2015-12-09
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:tty-201511241760
https://urn.fi/URN:NBN:fi:tty-201511241760
Tiivistelmä
The increasing electricity distribution investments mean higher amounts of material deliveries. As the construction projects often have tight schedules, successful material deliveries are important. However, the supply chain that the deliveries go through is long and sometimes complex. These characteristics make the supply chain prone to phenomena called the bullwhip effect, which is caused by uncertainties in the information flow of the supply chain. Supply chain uncertainty can be decreased by sharing sufficient amount of high quality information to the different parties taking part in the supply chain.
The information structure of Finnish distribution system operator Elenia’s supply chain is analysed in this thesis. The analyse is done by comparing good practices from literature to Elenia and using extended Event-driven process chains method. The findings from the analysis showed that the problems in present information flow are in transparency of the information, lack of automation in information flow control and timeliness of the information. To solve these issues three changes to the ICT-systems are proposed.
The first proposed change is to introduce a supply chain portal. The portal acts as one place for transparent information for all material delivery related information such as orders, deliveries and dispatch notices. The information is available to all parties related to the supply chain. The portal also includes automation for missing information. The transparency and automatic queries for missing information decrease the uncertainty in both order management and supply chain management levels.
The second proposed change is real-time and more informative metrics for the material supply chain. The real-time metering consists of supply chain wide metrics which create better understanding about the chain. The business intelligence system shares real-time data from multiple data sources inside Elenia, so that every decision can be based on the same real-time data. Business Intelligence system provides calculation and meaningful visualisations from the data.
The third proposed system are the intelligent products. The intelligent products are a virtual identity to products and deliveries. By interacting with and identification medium such as a QR-code, with their smartphone the user can share information about the products progression to other parties in the supply chain. The intelligent products allow sharing information that has been unavailable in the past. The system also makes it possible to add sensor data such as GPS information to the communication.
The information structure of Finnish distribution system operator Elenia’s supply chain is analysed in this thesis. The analyse is done by comparing good practices from literature to Elenia and using extended Event-driven process chains method. The findings from the analysis showed that the problems in present information flow are in transparency of the information, lack of automation in information flow control and timeliness of the information. To solve these issues three changes to the ICT-systems are proposed.
The first proposed change is to introduce a supply chain portal. The portal acts as one place for transparent information for all material delivery related information such as orders, deliveries and dispatch notices. The information is available to all parties related to the supply chain. The portal also includes automation for missing information. The transparency and automatic queries for missing information decrease the uncertainty in both order management and supply chain management levels.
The second proposed change is real-time and more informative metrics for the material supply chain. The real-time metering consists of supply chain wide metrics which create better understanding about the chain. The business intelligence system shares real-time data from multiple data sources inside Elenia, so that every decision can be based on the same real-time data. Business Intelligence system provides calculation and meaningful visualisations from the data.
The third proposed system are the intelligent products. The intelligent products are a virtual identity to products and deliveries. By interacting with and identification medium such as a QR-code, with their smartphone the user can share information about the products progression to other parties in the supply chain. The intelligent products allow sharing information that has been unavailable in the past. The system also makes it possible to add sensor data such as GPS information to the communication.