Linear programming

Linear programming

Bachelor of Business Studies (BBS) — First Year

Subject: Business Statistics (MGT 202)

Unit 11: Quantitative Analysis

Academic Year: 2083/84

Topic Objectives

After studying this topic, students should be able to:

• Explain the scope and key elements of linear programming.
• Select suitable statistical procedures, carry out calculations and interpret business results.

Curriculum Scope

• Formulation with two decision variables
• Graphical maximization solutions
• Graphical minimization solutions

Detailed Microsyllabus

1. Linear-programming formulation

   1. Two decision variables, linear objective and constraints.
   2. Nonnegativity restrictions and interpretation of coefficients.
   3. Translate a business problem into a mathematical model.

2. Graphical solution

   1. Plot constraints and identify the feasible region.
   2. Evaluate corner points for maximization or minimization.
   3. Recognize infeasible, unbounded or multiple-optimum cases where encountered.

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Curriculum reference: Tribhuvan University, Faculty of Management, BBS curriculum with first-year syllabus, PDF pages 14-16.

Source note: The curriculum scope above is retained from the existing TU syllabus breakdown. The numbered study subtopics are editorial elaborations for teaching and study, rather than a separately issued TU syllabus. Unit lecture hours apply to the whole unit; no separate topic hours or marks are assigned here.