ferrotip.blogg.se - Run supply and demand into anylogic

#RUN SUPPLY AND DEMAND INTO ANYLOGIC MANUAL#
#RUN SUPPLY AND DEMAND INTO ANYLOGIC VERIFICATION#
#RUN SUPPLY AND DEMAND INTO ANYLOGIC SOFTWARE#

This proof-of-concept project showed that simulation is effective and helpful for financial operations management optimization. The model can also suggest how many and which kind of analysts the company needs to deal with different trade volumes. Running what-if scenarios makes it possible to see what will happen in various situations, such as peaks in trade volume of varying duration. They show how many trades are processed over time and the capacity of different types of analysts. The results are shown in charts, tables, and graphs. Running the strategic planning model, the user can see the process overview visualization. System users can also define the number of analysts available to process different types of tasks at both headquarters. In addition, variables can be set for trade exceptions: delay time by type and the proportion rate. The main inputs for the risk analysis model are trade booked and trade assigned. Optimizing trading business process with simulation Furthermore, the visualization capabilities of AnyLogic enabled Fannie Mae to make the model easy to understand for the finance professionals who were the target users for the tool.

#RUN SUPPLY AND DEMAND INTO ANYLOGIC SOFTWARE#

AnyLogic is flexible and powerful strategic planning software that made it possible to build a model in 90 days, from idea to final product. The choice of AnyLogic as a simulation platform was based on a number of AnyLogic advantages.

#RUN SUPPLY AND DEMAND INTO ANYLOGIC MANUAL#

The Poisson arrival rate was taken for trades, and the triangular distribution for the manual processes. The analysts were modeled because they are necessary for manual processing.

Sensitivity analysis and resilience testing (identifying potential bottlenecks and the analysis of possible process changes)Īgent-based modeling allowed the trade assignment and confirmation processes to be captured accurately and both the trade (task) and the analyst (resource) aspects were modeled.

Preparation for trade volume increases (what-if scenarios concerning the capacity needed in different cases).

Resource optimization in project management (number of analysts required to accomplish all processes and to identify possibilities for multitasking).

Fannie Mae wanted their project management optimization model to fulfill the following tasks: They can vary by both the type of trade and the level of automation – from fully automated to completely manual and dependent on skilled analysts. It is challenging to get a holistic view of these two processes.

Trade assignment must also go through a trade confirmation process. Trade assignment is a three-party agreement: a selling party assigns their obligation to Fannie Mae who then assigns the trade to a third party or to itself as a buyer.

#RUN SUPPLY AND DEMAND INTO ANYLOGIC VERIFICATION#

Trade confirmation entails the comparison of the trade agreement from both counterparties, verification of the accuracy of its execution, and strict SLA fulfillment. To achieve this, they focused on the processes of trade confirmation and trade assignment. The company decided to begin with a quick proof-of-concept project.

Evaluate business resiliency strategies.

Connect processes for larger-scale insights.

Quantify potential process improvements.

The resulting simulation model would enable Fannie Mae’s specialists to: This experience, combined with rapid and unpredictable consequences, led the company to understand its need for a strategic planning software or a digital tool that could provide deep insight into the organization’s processes, improve process handling, and assist in preparing for various future challenges. In 2008, Fannie Mae was deeply affected by the US housing crisis and the company was placed under government conservatorship. They are required to soundly, safely, and speedily execute the processes necessary to support Fannie Mae’s business functions while meeting customer user experience demands. Operations form the core of Fannie Mae’s business and ensure the company’s successful performance. In 2018, Fannie Mae was ranked 21st on the Fortune 500. This provides market liquidity and helps stimulate activity. It purchases and guarantees mortgages from lenders, such as banks and other financial institutions, securitizes them, and then sells them back into the secondary mortgage market as mortgage-backed securities. Fannie Mae (The Federal National Mortgage Association) is a US government-sponsored enterprise that operates in the secondary mortgage market.