MB0048_MBA_Sem2_Fall/August 2012 Master of Business Administration - MBA Semester 2 MB0048 – Operations Research- 4 Credits Assignment Set- 1 (60 Marks) Note: Each question carries 10 Marks. Answer all the questions. Q.1 Maximise z = 3x1 + 4x2 Subject to constrains 5x1 + 4x2 200; 3x1 + 5x2 150; 5x1 + 4x2 100; 8x1 + 4x2 80‚ x1 0‚ x2 0 Q.2 State the ways in which customers in a queue are served. Q.3 Explain the use of simulation in networks? What are the advantages of using simulation? Q
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UNIVERSITY OF WATERLOO CO370/CM443: Deterministic OR Models Midterm Examination – FALL TERM 2011 Thursday‚ October 20‚ 2011‚ 7-9 PM (conflict time 4:45-6:45 PM) CLOSED BOOK Surname: First Name: Signature: ID#: INSTRUCTIONS: 1. Write your name and Student ID# in the blanks above. 2. There are five questions. Some questions may be longer or more difficult than others. Read all the questions first and budget your time appropriately for each question. 3. Answer each question in your solution booklet. Problem
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MSE 606A-OL: Engineering Operations Management Instructor: Ahmad R. Sarfaraz‚ Ph.D. Department: Manufacturing Systems Engineering and Management Faculty Office: EA 3305; (818) 677-6229 Email: sarfaraz@csun.edu Course Text: Bernard Taylor‚ Management Science‚ 8th Edition‚ Prentice Hall‚ 2004. Hamdy Taha‚ Operations Research‚ 9th Edition Both books will be in reserved room. Course Purpose: This course is designed to ensure that students gain: An ability to use
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Assignment Two Answers Problem: 3-2 a. Find the optimal product mix? The optimal product mix is as in screenshot above‚ fields of Number to produce: Basic XP VXP 514.285714 1200 28.57143 b. If you round the values in the changing cells to the nearest integer‚ is the resulting solution still feasible? No‚ the rounded number of Product to Produce does not generate feasible solution. In order to obtain feasible solution close to optimal‚ we need to set a new Integer constraint on Number to Produce
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Spreadsheet Modeling & Decision Analysis‚ 5ed Cliff T. Ragsdale Check figures for selected odd problems. Chapter 2 7. 9. 11. 13. 15. 17. 19. 21. 23. Optimal objective value = 10.55 Optimal objective value = 125 Optimal objective value = 154 Optimal objective value = 775 Optimal objective value = 32500 Optimal objective value = 0.75 Optimal objective value = 59300 Optimal objective value = 26000 Optimal objective value = 3.5 million 3. 5. 7. 9. 11. 13. 15. 17. 19. 21. 23. 25. 27. 29. 31. 33. 35
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SLIDES . BY . . . . St. Edward’s Univ. . . . . . . . John Loucks © 2013 Cengage Learning. All Rights Reserved. May not be scanned‚ copied Slide 1 or duplicated‚ or posted to a publicly accessible website‚ in whole or in part. Chapter 1 Introduction Body of Knowledge Problem Solving and Decision Making Quantitative Analysis and Decision Making Quantitative Analysis Models of Cost‚ Revenue‚ and Profit Quantitative Methods in Practice © 2013 Cengage Learning. All Rights Reserved. May
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Chapter 2 Assignment questions and answers 1. A jewelry store makes necklaces and bracelets from gold and platinum. The store has 20 ounces of gold‚ 24 ounces of platinum. Each necklace requires 6 ounces of gold 3 ounces of platinum‚ whereas each bracelet requires 2 ounces of gold and 5 ounces of platinum. The store has to use a minimum of two ounces of gold. The demand for bracelet is no less than three. A necklace earns $375 in profit and a bracelet‚ $225. Formulate a linear programming model
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MANAGERIAL REPORT - Assignment 1: - Bangalore Textile Company : Bangalore textile company has in it’s a possession a plant capable of producing 6 types of suit materials . this production is currently realized by using a total of 40 machines divided in two categories ‚ which are regular machines and super machines . the regular machines can only afford the manufacturing of materials types 1 ; 2 and 3 while the super machine are more flexible because they generate all 6 material types . knowing
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HISTORICAL SUMMARY YEAR CONCEPT TOOL ORIGINATOR 1910s - Principles of scientific management - Industrial psychology - Moving assembly line - Economic lot size Formalized time-study and work-study concepts Motion study Activity scheduling chart EOQ applied to inventory control Frederick W. Taylor (U S.) Frank and Lillian Gilbreth (U.S.) Henry Ford and Henry L. Gantt (U.S.) F. W. Harris (U.S.) 1930s - Quality control - Hawthorne studies of worker motivation. Sampling
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BUSI 508 MIDTERM EXAM PREPARATION - General Information: - Exam counts as 20% of your overall grade - Exams are 100% individual effort--discussions among classmates are prohibited. All reference materials (books‚ notes‚ etc.) shall be closed while taking the exam - There are 48 multiple choice questions: -- (General Knowledge) 33 questions which will test your basic knowledge of history‚ importance of operations research/management science techniques‚ model terminology‚ etc
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