As you may very well know, operations research, sometimes called decision science, involves the application of mathematical models and problem-solving methods to make improved & efficient decision-making. Implementing problem-solving methods such as mathematical optimization, simulation, queuing theory, etc., in actual problem scenarios is fairly challenging. However, constructing acute mathematical models using math techniques for intricate scenarios in your assignments might just require the assistance of professional operations research assignment writing services.
Now, no matter how challenging the scenario, most OR modelling processes follow a generic structure. Thus, any operations research study consists of the following phases:
1. Defining the problem of interest and gathering relevant information
2. Developing a tentative mathematical model to represent the problem
3. Creating a computerized procedure with the model and testing it
4. Observing the outcomes and refining things as necessary
5. Preparing the model for application after achieving successful operation
6. Implementation of the solution
Whether in an assignment or in an actual project, every OR study follows this step-by-step heuristic process. Learning how to carry out each phase with impunity is essential for solving any problem and scoring well in OR assignments.
So, let’s take a closer look at the operations research methodology.
Problem Description
The objective of this step is to represent the given problem scenario with a rigorous model. The common approach is to use an optimization model that describes the problem & associated data in abstract detail. The data and the scenario play a major role in the problem description and subsequent choice of the applied mathematical technique and the design of the model.
Developing the OR model
This phase involves transforming the problem description into a valid OR model. Implementation of this stage differs with the selection & application of the mathematical technique used to determine the operations research model.
For example, implementing linear programming for a scenario will not be the same as using simulation. Linear programs differ from breaking down an event and simulating it as a sequence of events and then observing the variables that dictate the simulation.
Suppose you lack a solid grasp on the varied applicable math techniques used in OR. In that case, it’s best to seek help from professional operation research assignment writing services of good repute.
Application and solution
Now it is time to solve the model you came up with. Naturally, the solution of the model will depend upon the techniques used for model formulation. In many cases, you may find that there is more than one solution for a model. For example, a linear program model can be solved using either the revised simplex method or the interior point method.
Most OR models cannot be solved completely due to time constraints. In such cases, the algorithms are partially solved for a good solution.
Performing further analysis & validation
Outcomes of models tend to alter with changes in problem description and data. If any such changes are possible, they are considered, and further analyses become necessary. Validation of the OR model solution is also essential and is performed at this stage.
Stages 3 and 4 are iterative in nature and need to be performed in a loop to obtain the optimum solution.
Presentation and implementation
The final stage involves the presentation and implementation of the solution. It’s a vital step as an operations research assignment writer has to represent a technical model easily comprehensible & concise manner. A proper summary of the OR model solution is necessary for successful implementation.
Well, that’s all for today! Hope this article helped you brush up your OR methodologies and helps you score well in your OR assignments. Give your best and seek help only from reputed operations research assignment writers in case of any difficulties.