MBA SEMESTER II MB0048 –Operation Research- 4 Credits (Book ID: B1137) Assignment Set- 1 (60 Marks) Note: Each question carries 10 Marks. Answer all the questions 1. a. Explain how and why Operation Research methods have been valuable in aiding executive decisions. [5 Marks] b. Discuss the usefulness of Operation Research in decision making process and the role of computers in this field. [5 Marks] 2. Explain how the linear programming technique can be helpful in decision-making in the areas
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Question Bank 1) Explain the term Operations Research. 2) Give the characteristics of OR. 3) Explain the phases of OR. 4) Write a note on methodology of OR. 5) Explain applications & scope of OR. 6) What is linear programming problem? Discuss the scope & role of linear programming in solving management problems. 7) Describe the limitations of linear programming in decision-making. 8) What do you understand by a linear programming problem? What are its major requirements
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Linear Programming is a mathematical technique useful for allocation of scarce or limited resources to several competing activities on the basis of given criterion of optimality.The usefulness of linear programming as a tool for optimal decision-making on resource allocation‚ is based on its applicability to many diversified decision problems. The effective use and application requires‚ as on its applicability to many diversified decision problems. The effective use and application requires‚ as a
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Linear Programming Model in Operation Research study is usually mathematical type of model which contains set of equations that represent objective function and constraints. The keywords in this article are Objective Function and Constraints‚ according to Heizer & Render (2008) Objective Function are mathematical expression expressed in linear programming designed to maximizes or minimizes some quantity‚ for example profit can maximized while the cost might be reduced. The objective function is also
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1 A multi-product newsboy problem with an inventory space constraint Hon-Shiang Lau‚ Amy Hing-Ling Lau Layek L. Abdel-Malek‚ Roberto Montanari Contents 1. Introduction ......................................................................................................................... 2 2. Approach ............................................................................................................................. 2 2.1. 2.2. 3. Mathematical formulation ...
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IEOR 4000: Production Management Lecture 5 1 Professor Guillermo Gallego 9 October 2001 Aggregate Production Planning Aggregate production planning is concerned with the determination of production‚ inventory‚ and work force levels to meet fluctuating demand requirements over a planning horizon that ranges from six months to one year. Typically the planning horizon incorporate the next seasonal peak in demand. The planning horizon is often divided into periods. For example‚ a one
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ASSIGNMENT BRIEF PROFORMA DCT2053/TCT2063 E-COMMERCE& GOVERNMENT ASSIGNMENT 1 CHAPTER/TOPIC: Chapter 1– Chapter 2 TITLE: THE SUCCESSFUL OF E-COMMERCE IMPLEMENTATION IN MALAYSIA INSTRUCTION: 1. Report MUST contain minimum pages of 10 and maximum of 15. 2. Each student is required to submit an individual written report that consists of Introduction‚ Content and Conclusion 3. Mode: Individual 4. Submission in the form of written report (Hard
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MATHEMATICAL METHODS 1. Finding An Initial Basic Feasible Solution: An initial basic feasible solution to a transportation problem can be found by any one of the three following methods: I. North West Corner Rule II. The Least Cost Method III. Vogel’s Approximation Method 1. North West Corner Rule The North West corner rule is a method for computing a basic feasible solution of a transportation problem‚ where the basic variables are selected from the North-West Corner
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The name of the paper is solving one dimensional cutting stock problem with discrete demands and capacitated planning objective. Cutting stock problems are NP-hard problems and mentioned about what is NP-hard problems. One of classical NP-hard problems which could not be solved within the polynomial computation time is a cutting stock problem. Wongprakornkul and Charnsethikul said that the most powerful algorithm for solving linear problems with many columns is the column generation procedure and
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Quantitative Methods in Business – Linear Programming 1- Statement of the Problem: Middle East for investment offers a bundle of investment options in many types of securities. Mr. Brown‚ an investor‚ would like to invest $ 5 million in various securities. He wishes to maximize his yearly profit over the next year. The investment company offered him a portfolio including Bonds‚ Stocks‚ Gold and Land. The expected return is 6% for Bonds‚ 14% for Stocks‚ 10% for Gold and 5% for Land. For diversification
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