Operations Research CONTRIBUTERS: Prof. (Gp. Capt.) D.P. Apte Prof. (Gp. Capt.) Suhas Jagdale Prof. Anagha Gupte Anjali Mote MIT School of Business PGDM – 30th Batch Syllabus Subject Name: Operations Research Semester – II Subject Code: 203 Objective: Effective decision-making is the key to a manager’s success. Enhancement of productivity‚ optimum use of available resources and maximization of achievement of goals are important to the survival of an organization in today’s fiercely
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is a tool to model and solve linear and nonlinear programming problems. To access it‚ open Excel‚ choose the tab “Data” and select “Solver” from the “Analysis” group. If it is not there‚ you have to install it‚ by clicking the “File” tab (or the Office button)‚ then “Options”‚ then “Add-Ins”‚ and then “Manage Add-Ins”. Check “Solver” there. To solve the model‚ you have to first program in on a spreadsheet. In the attached “excel-example.xls” we solve the linear programming problem max 3x1 + 2x2 s.t. 2x1
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Production & Operations Management–Homework 1 for Section 4 Due Tuesday October 16‚ 2012 1.1 Eastman publishing Company is considering publishing a paperback textbook on spreadsheet applications for business. The fixed cost of manuscript preparation‚ textbook design‚ and production setup is estimated to be $80‚000. Variable production and material costs are estimated to be $3 per book. Demand over the life of the book is estimated to be 4‚000 copies. The publisher plans to sell the text to college
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quantitative modeling process. 2. What is the difference between a i. descriptive and a normative model? ii. discrete and a continuous variable? 3. Show that the set ℜ n is a convex set. 4. Is the linearity assumption‚ in LP models‚ realistic in applications? 5. Print-Rite assembles printers for personal computers. These printers are assembled at five different points along the production line. Each production line consists of five work teams with different levels of skill. Each team can be assigned
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38 out of 40 points Instructions Question 1 .2 out of 2 points The standard form for the computer solution of a linear programming problem requires all variables to be to the right and all numerical values to be to the left of the inequality or equality sign Answer Selected Answer: False Correct Answer: False . Question 2 .2 out of 2 points In a balanced transportation model‚ supply equals demand such that all constraints can be treated as equalities
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Chanas‚ S. and Kutcha‚ D. (1996) A Concept of the Optimal Solution of the Transportation Problems with Fuzzy Cost Coefficients‚ Fuzzy Sites and Systems. 82 (1996) pp.299-305 Crainic‚ T Workshop on Advances in Modelling: Paradigm Methods and Application (21-23 Sept 1998) Luxembourg‚ Austria. Fedra‚ K. (2004) Sustainable Urban Transportation: A Model-based Approach. Imam‚ T.; Elsharawy‚ G.; Gomah‚ M. and Samy‚ I. (2009) Solving Transportation Problem Using Object-Oriented Model Kasahara‚ K and
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pounds‚ liters etc.) 7. The Transportation Problem There is a type of linear programming problem that may be solved using a simplified version of the simplex technique called transportation method. Because of its major application in solving problems involving several product sources and several destinations of products‚ this type of problem is frequently called the transportation problem. It gets its name from its application to problems involving transporting products from several sources to several
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Chapter 4 Linear Programming Applications in Marketing‚ Finance and Operations Management Learning Objectives 1. Learn about applications of linear programming that have been encountered in practice. 2. Develop an appreciation for the diversity of problems that can be modeled as linear programs. 3. Obtain practice and experience in formulating realistic linear programming models. 4. Understand linear programming applications such as:
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Cincinnati‚ Ohio Contents Preface Chapter 1: Introduction ♦ Scheduling a Golf League Chapter 2: An Introduction to Linear Programming ♦ Workload Balancing ♦ Production Strategy ♦ Hart Venture Capital Chapter 3: Linear Programming: Sensitivity Analysis and Interpretation of Solution ♦ Product Mix ♦ Investment Strategy ♦ Truck Leasing Strategy Chapter 4: Linear Programming Applications in Marketing‚ Finance and Operations Management ♦ Planning an Advertising Campaign ♦ Phoenix Computer ♦ Textile Mill
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Contents Preface Chapter 1: Introduction ♦ Scheduling a Golf League Chapter 2: An Introduction to Linear Programming ♦ Workload Balancing ♦ Production Strategy ♦ Hart Venture Capital Chapter 3: Linear Programming: Sensitivity Analysis and Interpretation of Solution ♦ Product Mix ♦ Investment Strategy ♦ Truck Leasing Strategy Chapter 4: Linear Programming Applications in Marketing‚ Finance and Operations Management ♦ Planning an Advertising Campaign ♦ Phoenix Computer
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