This report discusses risk management plan for BAA Terminal 5 Project, key performance indicators, risk analysis, and usage of Monte Carlo simulation in decision-making.
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Risk and Procurement Management Assessment 1
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TABLE OF CONTENT INTRODUCTION..........................................................................................................................3 Bespoke risk management plan for case of BAA with appropriate key performance indicators3 Key performance indicators that rate the performances..............................................................4 Analysis of risks by developing risk register or probability impact model.................................4 Usage of Monte Carlo simulation and their usage in decision-making.......................................6 CONCLUSION................................................................................................................................7 REFERENCES................................................................................................................................8
INTRODUCTION Procurement risk management is supposed to evaluate risks and take precautions over the businesses from any kind of difficulty or issues that can be arisen during the acquisition procedure (Gan and Valdez, 2017). This report is based upon the case study related to the BAA Terminal 5 Project which describes various aspects related to risk mitigation with the help of diversified methods. Bespoke risk management plan for case of BAA with appropriate key performance indicators It has known that British Airport authority is facing quality and suppliers’ relation related problems. It wants to be the best airport company but it ispossiblewhen it improves procurement and relations with stakeholders. Stakeholders in airline sector plays a vital role as it helps company out in providing appropriate raw materials and supplies. By developing risk management plan, this company can accomplish its main purpose and can solve all problems that it is facing. Procurement risks:It is one of the main risk that is affecting quality of its products and services. For mitigating this risk, this company has developed procurement strategy according to which it has procured around crica 50 construction as well as consultancy frameworks agreement (Melly and Hanrahan, 2020). It just need to change its traditional construction contract. Contractual risks: It is other main risks that this company is facing. It had review all of its contracts that it had taken in order to identify areas where it went wrong. On the basis of review, it identified that poor suppliers’ relations, resources and financial was main root causes of this problem. It has now developed T5 agreement for solving this contractual risks and it is its effective contractual strategy. Poor quality: Quality of products and services, provided by this company has also affected due to poor engagement of suppliers and team members. For mitigating this problem, it can make use of total quality management and six sigma approach. Both of these approaches can decrease waste and errors, hence can improve quality. In regard to T5 agreement, it is found that it has focused on leadership and this agreement will enable suppliers in creating competitive advantages. The main central of this agreement is risk management. Delivery agreement will be on the basis of legal deed; sub project execution plans will be defined to team members (Panadès-Estruch, 2019).
Key performance indicators that rate the performances Key performance indicators over risk management refers to the measurement of performances such as asset utilization, consumer satisfaction, cycle time from order to delivery of the project, inventory turnover, operations cost, productivity and financial results which includes return over the assets and investment. It is a type of metrics that utilized to evaluate business performances that are easily able to identify with the help of key risk indicators which helps to measure the downsides and upsides of risk for the project. It also enables the project manager to identify number of risks in systematic manner, percentage of procedure areas that are covered under the risk assessments, percentage of key risk that are monitored and percentage of risks that are needs to be mitigated. The key performance indicators are based upon 5 aspects such as revenue per client which helps in order to measure productivity and helps to mitigate risks related to poor quality of outcome (Chen, Klimek and Perelstein, 2021). Apart from this, the second element belongs to average class attendance which illustrates that the classes are highly considerable and desired as well as profitable. This enables the manager to deal with communication issues or risks. Next is client retention rate which is related to the percentage of client or people that has been retained at the time of doing the project which is critical for long term profitability. This helps to mitigate the risks that are related to the industrial relation as well as poor suppliers dealing issues. Another is profit margin which shows generation of revenue and helps to mitigate procurement risks. And the last one is related to the average daily attendance which helps to mitigate poor workers' performance risk as it involves all the processes that make sure about the evaluation of the profit margin within the project. Analysis of risks by developing risk register or probability impact model In regard to British Airport authority, private airport operator, it is found that it is facing number of problems that are related with quality of project, procurement, suppliers’ poor performance, financial risks and others. Its corporate objective is to be the most successful airport company in the world by developing retail potential. For becoming successful, it needs to identify risks that it is facing and by developing strategies accordingly, it can accomplish its goals. On the basis of its case study, it is found that now it is mainly focusing on improving
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relations with its suppliers and team members (Sato, 2017). It believes that improved relations with suppliers and their engagement in all process can be beneficial and can help it out solving all risks. Some risks that this company is facing can be discussed withimpact and probability model Type of risksImpact scale Very lowLowModerateHighVery high Financial risks Insignificant changesin cost Moderate Suppliers’ poor performance Highly noticeable Very high Construction failure Scope decreased High Industrial relations Highly noticeable Very high ProcurementItdecreases scope High Poor qualityInsignificant changesin quality Very high On the basis of above discussed impact scale risk table, it can clearly be said that poor industrial; relations, poor quality of project and suppliers’ poor performance can have negative impacts to the great extent. It needs to focus on improving relations with suppliers and other stakeholders. Byimprovingrelations,itcansolveproblems,associatedwithpoorquality.Engaged stakeholders like: employees and suppliers and others. There are number of ways by which it can solve all of these problems (Duong and Chong, 2020). Along with impacts of risks, it is important to know probability of risks to occur as further strategies can be developed accordingly. Probability risk related to this case include: LikelihoodDescription RelativeNumerical Very low0.1Highly unlikely to occur Low0.3Will most likely not occur Moderate (Financial risks)0.5Possible to occur
High (Construction failure Procurement) 0.7Likely to occur Veryhigh(Suppliers’poor performance Industrial relations Poor quality) 0.9Highly likely to occur On the basis of above discussed probability table, it can be said that BAA needs to engage its suppliers at very early stage. It can make suppliers feel valued. It has found that this company has developed and structured its T5 agreement and as per this agreement, suppliers as well as team members will need to work together and support company in solving risks in a timely manner. The main purpose of structuring and developing this agreement was to improve industrial relations and improving quality of products. Usage of Monte Carlo simulation and their usage in decision-making The given case study is about the BAA's Terminal 5 programme at Heat throw Airport which is one of the Europe's largest construction projects. Hence, they prepare an agreement in order to handle the key audiences within the team in order to demonstrate the commitment, team working and trust factor. It is an enabler of exceptional performance as it holds all the risks all the time over budget and their quality. They try their maximum to handle their suppliers as it provides them an opportunity to take competitive advantages for their business operations. In context of Monte Carlo simulation the formula have been utilized in order to transfer equation, defining input parameters, setting up of simulation into workspace and analyse the procedure output (Züst and et.al 2021). This simulation is a computerized format that enables to perform risk analysis by building models of possible outcomes by substituting a range of values, probability distribution and for any factor that has integral uncertainty. By utilize proper probability distribution, variables can have diversified probabilities of different outcomes that occurs at the time of doing the project. It also enables in order to take appropriate decisions regarding the project with respect to cost estimation and planning, risk and opportunity and management, commercial as well as contract management. In the cost estimating stage, the most likely and pessimistic approaches identifies such as Monte Carlo simulation helps to understand
risk and in major aviation programmes to allow articulation of the degree of cost uncertainty. With the help of this, the risk and opportunity management register also have been prepared. It also helps in master planning procedure as at the stage of planning or designing, procurement and contracting strategies need to be generated alongside with one another. This also allows the commercial team requirements that are integral into the choice of appropriate procurement route as this will effectively able to inform about the cost risks and expenditure profiling. This method utilizes the distribution and correlations to estimate the total cost of separate validations of project. The outcomes revealed the probability range of possible costs for the project (Alegria and Legarda, 2021). It also ignores certain factors such as project location, item based simulation thatremoves potentiality of significant effects over the project, reduces the accuracy as well as the ultimate utility. The certain drawbacks in context of cost estimation related to involvement of electrical and mechanical costs that tend to rise and fall together but if estimators fail to include this relationship, additional errors will automatically occurs in context of estimate regarding the cost. CONCLUSION It has been summarised from the above study that risks analysis plays a vital role as it can help companies in identifying as well as decreasing risks. Risk register and impact probability analysis are effective risk management tools that can help companies in mitigating risks in an effective and timely manner. It has further discussed importance of improved industrial and suppliers’ relations in improving overall organisational performance. it has further discussed effectiveness of T5 agreement that has been developed by airport authority for improving and engaging stakeholders. Lastly, it has shown uses and effectiveness of Monte Carlo simulation in risks analysis and mitigation.
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REFERENCES Books and journals Alegria, N. and Legarda, F., 2021. Efficiency calculation by Monte Carlo simulation for the rapidly-deployablespectrometricair-samplingsystem(MARE).Journalof Instrumentation.16(09). p.P09018. Chen, I.K., Klimek, M. and Perelstein, M., 2021. Improved neural network Monte Carlo simulation.SciPost Physics.10(1). p.023. Duong, L.N.K. and Chong, J., 2020. Supply chain collaboration in the presence of disruptions: a literature review.International Journal of Production Research.58(11). pp.3488-3507. Gan, G. and Valdez, E.A., 2017. Valuation of large variable annuity portfolios: Monte Carlo simulation and synthetic datasets.Dependence Modeling.5(1). pp.354-374. Lal, N.S. and et.al 2019. Flexibility Analysis of Heat Exchanger Network Retrofit Designs using Monte Carlo Simulation. Melly, D. and Hanrahan, J., 2020. Tourism biosecurity risk management and planning: An international comparative analysis and implications for Ireland.Tourism Review. Panadès-Estruch, L., 2019. Technocracy in Paradise: Assessing the Social Impact of Public ProcurementintheCaymanIslandsviaPublicSectorInterviews.TheRound Table.108(5). pp.553-565. Sato, C.E.Y., 2017. Developing Organisational Capabilities through Customer-Led Systems Integration Projects: The Case of the Major Project BT 21st Century Network in the UK.Revista de Gestão e Projetos.8(2). pp.36-57. Züst, S. and et.al 2021. A graph based Monte Carlo simulation supporting a digital twin for the curatorial management of excavation and demolition material flows.Journal of Cleaner Production.310. p.127453.