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Custom Model Building
Simulation Model Types

Simulation models come in all sorts of sizes, complexities and fidelities. It depends on the size of the system modelled and the objectives of the simulation. Nature of the decision support required influences costs and time tremendously. Typically there are three varieties and each has its own usefulness.

1. Quick and Dirty Models

Generally require a few days. May be just enough to get a hang of the system. Meant for quick understanding of the variables that affect the system. Sometimes it may be just sufficient for a quick decision

2. Standard Fidelity Model
This may require a few weeks to build. Data quality of the input may not be that high. Very often used for model based control of operations on a routine basis.
3. High Fidelity Model
This kind of models very often require several months to build. Many complex systems do require more time even to understand, let alone model it. Very often in cases of capacity planning or investment justification, one would take all the precautions and ensure absolutely correct data and domain information gets incorporated into the simulation model. Hence the decision support system that emerges out of the model would enable right value adding decisions to be made, knowing about good and bad scenarios as well.
Capacity to Deliver

Extensive experience in over last 40 years in management field and our work with leading corporates, gives us the confidence to tackle any model development in any field.

We had already delivered simulation models and decision support systems in the fields of manufacturing, chemical plants, shipping operations, logistics, business reengineering, reliability engineering etc and we have the capability to deliver solutions in financial engineering as well. We are harnessing the latest developments in Operations Research (OR) techniques and simulation technology to solve the problems. Our clients in simulation modelling include Hewlett Packard India (BPO), Reliance Industries- Refinery Port operations, L&T-E engineering solutions, Honeywell Technology Solutions, Birla Kennametal, and LucasTVS etc.

EA will investigate the system "As Is" and "To be" and suggest innovations or ideas to help improve efficiency and costs. The solutions that emerge in this process will help the clients add clarity by several notches, obtain insights, improve the system, communicate effectively the interaction of several variables that affect the overall performance and finally add to their current and future profits.

Custom Model Building-Engagement Approach
The engagement is three step processes:
1. Requirements Determination
Although the system details are known to the owners of the system, the modeller has to understand precisely the nature of the processes involved and complexity of the business rules that govern the system. All the known and immediately available data have to be gathered and additional data requirements have to be determined. From the available data, a quick and dirty prototype model is to be built to help clarify all the critical system variables and possible interactions and to determine a an estimate of the time to finish the ultimate comprehensive model. At the end of this process, a "Requirements Document" is developed and handed over to the clients, which shall include an approximate plan of action for further work and time and cost estimates. This normally requires one or two weeks or more depending on the system complexity. EA can provide a quote for this preliminary engagement and a general format of the requirements document.
2. Contracting
Based on this report, the client will usually commission the final model building project and sign a contract.
3. Model Building
The model building team will be constituted and it will have people from both sides and modelling process starts either at client's site or at our office or both. It will be completed as per requirements.
Prebuilt Models and Solutions
1. Workforce optimization in the BPO industry.
This model includes meta models for individual departments and evolutionary optimization using genetic algorithms like tools, since every simulation model is non linear. In one work force reduction happened to be nearly 40%. This uses Discrete Event and Discrete Rate simulation methodologies.
2. Detergent Manufacturing Plant Model
This is built for Capacity Planning purposes so that the throughput of the plant with all its down times due to breakdowns and preventive maintenance can be properly assessed and line balancing can be achieved. Financial viability can be established. Discrete Rate simulation is the key.
3. Call Center Workforce optimization
It is based on actual data from a call center operating abroad and fine tuned to optimize various operating policies. It helps to optimize work force to deliver service levels guaranteed.
4. Continuous Process Lube Oil Plant
Some refineries have lube oil processing plant attached to it to handle some of their streams. Its operation had been enhanced by dynamic scheduling without any human intervention improving the throughput while fulfilling the orders. Discrete Rate modelling technique had tremendous flexibility in providing schedules taking into account all constraints. Result is that optimization is automatic. Linking this scheduling tool to your DCS needs to be customized. This tool gives precise dates as to when your loading tankers can be scheduled.
5. Jetty Manager
This is used for dynamic scheduling of unloading and loading of vessels for refinery inputs and outputs of various grades. Every conceivable constraint is incorporated and more can be added if needed. This uses advanced concepts like dynamic scheduling and approximate dynamic programming with optimization. The benefit of this simulation based scheduling approach is the tremendous flexibility and optimization while competing techniques provide limited flexibility and no optimization. This can directly translate into profits by utilizing the facilities to the maximum and avoid perhaps new investments for additional capacity. This is perhaps innovation at its best.
6. Capacity Planning for Docks
Considering uncertainty of arrival of vessels and considerable variability of facilities required to load and discharge the vessels, one can easily perceive the demand for additional capacity in the dock requiring more jetties, SPMs and pipelines or other support facilities. Simulation based capacity planning tools can only fathom the uncertainties and variabilities adequately in this regard, since too many constraints and uncertainties come into play. This simulation based solution optimizes the resources for meeting certain level of service to the visiting vessels and to minimize demurrage and to improve the turnaround time. Since such facilities are very expensive to create, it would be prudent to invest in this kind of simulation model to study and enhance the feasibility of such projects.
Ready Prototype Models

We have a few hundred simulation models in our model warehouse, in several domains that can be readily used to understand in a preliminary way, the factors involved. It might give you pointer if an extensive and high fidelity model is required to help arrive at proper decisions. This is like a small window into your decision problem, while a full fledged model opens the entire door to evaluate alternative approaches.

In order to help the other modellers and potential decision makers, we offer them almost free of cost. Only the handling cost of Rs 1000 for Indian clients and USD 100 for all other clients will be levied. Kindly write to us briefly about decision problem so that we can advise on its availability and mode of payment. This offer is purely based on "helping hand" approach and "as is" basis. Our considered view is that it might get you a handle or exposure quickly in your tough decision making problem on hand, thereby quickening entire process of analysis. We might even fine tune it to meet your needs immediately. However if it entails considerable work, we will have to negotiate total costs to service your request.

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