Operations Research Assignment Help & Online Tutoring

An operation research tutor works through the assignment with you rather than submitting it for you. They help you formulate each model, solve similar problems step by step and check your tables and interpretation, so you understand the method and your final submission stays your own work.

Operation research, also called operations research or O.R., uses mathematical models and analysis to make better decisions. It includes linear programming, transportation and assignment models, network methods such as CPM and PERT, queueing theory, inventory models, simulation and decision analysis, and is used in business, engineering and public services.

Define the decision variables in words with units, write the objective function to maximise or minimise, then write one constraint for each limited resource plus non-negativity. Check that every number in the question appears somewhere in the model, and that the units on both sides of each constraint match.

Add slack variables to turn inequalities into equations, then move from one corner of the feasible region to a better one. At each step, the most negative coefficient in the objective row chooses the entering variable, and the minimum ratio test chooses the leaving variable, until no improvement is possible.

Use the graphical method when there are only two decision variables, because you can draw the feasible region and test the corner points. With three or more variables, use the simplex method or software such as Excel Solver. Both methods give the same optimal solution.

A shadow price is the increase in the optimal objective value from one extra unit of a constraint's resource, while the solution stays within its valid range. A constraint with spare capacity has a shadow price of zero. Shadow prices come from the final simplex table or Solver's sensitivity report.

Every linear programme has a matching dual problem. If the original problem maximises profit using limited resources, the dual minimises the value of those resources. At the optimum, both have the same objective value, and the dual variables are the shadow prices of the original constraints.

A transportation problem ships quantities from several sources to several destinations at minimum cost, with supply and demand totals. An assignment problem is a special case where each agent takes exactly one task. Transportation uses methods such as Vogel's approximation and MODI; assignment uses the Hungarian method.

Vogel's approximation method finds a good starting solution for a transportation problem. For each row and column, find the penalty, the difference between the two smallest costs, then allocate as much as possible to the cheapest cell in the row or column with the largest penalty, and repeat.

Put decision variables in cells, write the objective and each constraint as formulas, then open Solver. Set the objective cell, choose max or min, select the variable cells, add constraints and choose the Simplex LP method. Ask for the sensitivity report to read shadow prices and ranges.

Both plan projects as networks of activities. CPM uses a single fixed time for each activity and focuses on the critical path and time–cost trade-offs. PERT uses optimistic, most likely and pessimistic estimates to find an expected time and the probability of finishing by a deadline.

Queueing theory models waiting lines, such as customers at a bank or jobs on a server. From arrival and service rates, it gives utilisation, average queue length and waiting time. Managers use these results to decide how many servers or staff are needed to keep waiting times acceptable.

The economic order quantity is the square root of two times annual demand times ordering cost, divided by the holding cost per unit per year. It gives the order size that minimises total ordering and holding cost, assuming steady demand and no shortages or quantity discounts.

No, although they overlap. Operation research is a set of mathematical decision-making methods. Operations management is the management of how a business produces goods and services, and it often uses operation research tools such as forecasting, scheduling and inventory models to make decisions.

Yes. The CBSE and NCERT Class 12 Mathematics syllabus includes a chapter on linear programming. It covers formulating problems, drawing feasible regions and using the corner point method on manufacturing, diet and transportation problems. Tutors help with board-style questions and with understanding why the corner point method works.

Excel Solver is the most common in courses. Students also use LINGO or LINDO, TORA, Python with PuLP or SciPy, R and MATLAB's optimisation tools. For project networks, tools such as Primavera or Microsoft Project are used. Tutors can explain both the software steps and the underlying method.

You get help formulating models, step-by-step working for the method your course uses, an explanation of how to interpret results such as shadow prices or queue lengths, and a tutor check of your answers. Help can be live lessons, written worked solutions or guidance on a graded assignment.

Short questions can often be answered the same day, depending on tutor availability. Longer assignments, case studies or Solver projects depend on their size and your deadline, which you give when you ask for a quote. Asking early leaves time to discuss the model and the interpretation.

Yes, when it supports your learning. Tutoring, explanations, feedback and practice on similar problems are generally allowed. Submitting work written by someone else is not. Check your university's academic integrity policy, and use the tutor's guidance to build and write up your own models.

Yes. Your files, data and personal details are kept private and shared only with the tutor working on your request. We do not publish your work or contact your university, and you can ask for your files to be deleted once your request is complete.