BSOM090 Finance and Procurement Assessment Answer

Introduction

The London Underground network, known as the Tube, is one of the world's busiest and most-used transport systems. One million passengers travel the web an average day and up to six million at weekends (Larcom et al. 2017). London underground network has one of the world's most modern and complex lighting networks. The lighting system had to be capable of lighting and directing high amounts of light while avoiding glare and trespassing from platform to street lighting.

SWOT Analysis

Strengths

1. The London Underground station has one of the most complex lighting networks in the world (Shin et al. 2020).
2. The design of this lighting system took into account all the complexities of the system.
3. The lighting could direct the amount of light in specific locations while simultaneously limiting the quantity of light produced, for example, by not having too much light created on the station platform (De Bellefroid et al. 2017).
4. The system enabled the operation modes to be set automatically and efficiently from the management system.

Weaknesses

1. The system had a very low-reliability rating and needed frequent repairs.
2. The system was a significant drain on the electric power used in the station, which is at a premium (Larcom et al. 2017).
3. Having the system controlled by a mobile phone would take work.
4. The reliability of the system could have been better.

Opportunities

1. There was a high demand for energy in the London underground system. The system was inefficient, and a significant cost was associated.
2. The unreliable lighting system could have been repaired with less work and expense.
3. The lighting system was highly reliable and could have been repaired without interruption (De Bellefroid et al. 2017).
4. The system could have been easily adapted to control multiple operation modes.

Threats

1. A major threat was the lack of reliability in the lighting system. The system was a severe safety risk if it operated or worked incorrectly.
2. The system could be challenging to operate or control with a mobile phone.
3. The energy consumption was very high. It was too expensive.

Innovation

One recommended innovative approach could be implementing intelligent lighting solutions that leverage advanced technologies such as the Internet of Things (IoT), Artificial Intelligence (AI), and data analytics (Shin et al. 2020). Installing IoT sensors and devices in the lighting infrastructure across the London Underground network can enable real-time monitoring and control of lighting operations. Sensors can detect the presence of passengers, ambient light levels, and other environmental factors to adjust lighting levels accordingly. This can optimize energy consumption, reduce maintenance costs, and improve passenger safety and comfort (Larcom et al. 2017).

AI can provide a framework to improve the accuracy, speed, and efficiency of managing lighting operations through its ability to collect, process, and analyze large amounts of data and information. The AI-based solution can learn from previous operations and adjust the lighting accordingly. For example, an automatic dimming feature could be implemented to automatically dim lights in a train station if the station has no passengers or fewer passengers during the time of day (De Bellefroid et al. 2017). The lighting can be configured only to light a platform if a train is at the station. The lighting can also be configured only to illuminate an emergency phone if an emergency occurs. In addition, IoT and AI will not only reduce operating and maintenance costs but will also improve service quality.

References

De Bellefroid, H., Emmrich, J., Haider, W., Hashweh, D., Heinz, C., Lazurko, A., Lucic, A., Mace-Snaith, R., Malik, S.S., Vasisth, S. and Zhao, Y., 2017. LED's Buy Greener: Shedding Light on Sustainable Procurement. IIIEE SED reports.

Larcom, S., Rauch, F. and Willems, T., 2017. The benefits of forced experimentation: striking evidence from the London underground network. The Quarterly Journal of Economics, 132(4), pp.2019-2055.

Shin, K., Yeo, Y. and Lee, J.D., 2020. Revitalizing the concept of public procurement for innovation (PPI) from a systemic perspective: objectives, policy types, and impact mechanisms. Systemic Practice and Action Research, 33, pp.187-211.

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