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Industrial Engineering and Optimization

Industrial Engineering and Optimization. Barrett Summer Scholars 2011 Sustainable Engineering: Learning to Engineer Truly Green Products. Learning Objectives. What is an Industrial Engineer Discuss various forms of optimization Linear Programming Constraint Management Lean

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Industrial Engineering and Optimization

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  1. Industrial Engineering and Optimization Barrett Summer Scholars 2011 Sustainable Engineering: Learning to Engineer Truly Green Products

  2. Learning Objectives • What is an Industrial Engineer • Discuss various forms of optimization • Linear Programming • Constraint Management • Lean • Optimization via Simulation • http://www.youtube.com/watch?v=RvXUlFnC2XQ&feature=player_embedded

  3. Industrial Engineers • Combine the use of physics, mathematics, and social sciences • Design efficient manufacturing/service systems by optimizing resources • People • Time • Equipment • Information • As technology increases, so does the need for industrial engineers

  4. Optimization • Optimization is: • A routine practice during the engineering design process to improve designs • A necessity for a variety of business problems dealing with complex decision making and resource allocation • Mathematical algorithms to locate optimal solutions quickly

  5. Linear Programming • Linear Programming finds optimal solutions to business problems. • Assumes a linear objective function to maximize or minimize • Subject to constraints A0X 1+ A1X2+A2X3+ … + AnXn B0X 1+ B1X2 + … + BnXn <= CnXn X 1, X2 … Xn >= 0

  6. Linear Programming Example • A company produces two calculators, X and Y. Projections indicate 100 of X and 80 of Y are in demand each day. However no more than 200 and 170 calculators of X and Y, respectively can be produced. 200 calculators a day must be shipped. The company losses $2 dollars on each X calculator and makes $5 dollars on every Y calculator.

  7. Linear Programming P= –2x + 5y, subject to: x>=100 x<= 200 y>= 80 y <=170x + y> 200  Test all the corners: Maximum at (100, 170) P = $650 Staple, Elizabeth. “Linear Programming: Word Problems”. Purple Math. http://www.purplemath.com/modules/linprog3.htm

  8. Linear Programming Example • Izzy arrives to class late because he overslept from playing 42 hours of soccer last weekend, and therefore, has only 35 minutes to complete a BSS Engineering exam. The exam has 6 open-ended questions and 20 multiple-choice questions. Each correct open-ended question is worth 10 points, and each multiple-choice question is worth 2 points. He knows that it usually takes him 4 minutes to answer an open-ended question and one minute to answer a multiple-choice question.

  9. Linear Programming Example • Assume that for each question Izzy answers, he receives full credit. How many of each type of question should he answer to receive the maximum possible points? What is the maximum possible points that Izzy can receive?

  10. Linear Programming Example • Max or Min? • Maximize points, p • Maximize p = 10X + 2Y subject to • X <=6 • Y <=20 • 4X + 1 Y <=35 Optimal Solution: p = 82; x = 6, y = 11

  11. Joe Sally John STEP 1 STEP 2 STEP 3 120 70 90 MATERIAL PRODUCT RELEASE OUTPUT units/hr units/hr units/hr Machine Machine Machine A B C Constraint Management • For systems, to optimize flows, one can apply constraint management. • You slowest operation step is your bottleneck

  12. Lean • Philosophy from Japanese companies to focus on continuous improvement and the eliminate of waste. • Applicable to all disciplines designing and improving systems • 5-S • Value Streaming

  13. 5-S • Philosophy from Japanese companies to focus on continuous improvement and eliminate waste. Source: http://www.lean.state.mn.us/images/5S_circle.gif

  14. Value Streaming https://www.greensuppliers.gov/gsn/html/users/gsn/docs/VSM.pdf

  15. Value Streaming

  16. Simulation • Excellent for performing what-if scenarios that help us figure out how to optimize a system.

  17. Questions?

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