intermittent and continuous operation. OM Assignment IV(Capacity Planning) 1.Define capacity cost ‚waiting cost and optimum capacity. 2. In a manual system of tax filing tax payers are lining up‚ in order to file their income tax returns. The arrival of tax payer is Poisson at a rate of 5 per minute. The IT officer wishes that no tax payer should suffer for more than 10 minutes in the queuing system. If only one clerk is serving‚ what should be the rate at which the clerk disposes the tax returns? What if
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LOGISTICS Example how to use software transformation mode>new: 1.sources: number of source 2.destination:number of destination 3.activities minimize/maximize >click ok> supply‚ demand‚ time ________________________________________________________________________________________ logistics is a part of supply chain management‚ cooperation of different elements of different ownerships supply chain units do not compete with each other‚ but work as one body order cycle time-time
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Proceedings of the 2000 Winter Simulation Conference J. A . Joines‚ R. R. Barton‚ K. Kang‚ and P. A. Fishwick‚ eds. TRAIN STATION PASSENGER FLOW STUDY Janice P. Li Booz-Allen & Hamilton Three Gateway Center‚ Suite 1625 Newark‚ NJ 07102‚ U.S.A. ABSTRACT With the increasing demand for public transportation due to congested highways‚ trains have become one of the most viable alternatives‚ especially for daily commuting. While transit agencies are excited with the increasing ridership‚ they are
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Mathematical Modelling 2 Week 3: Discrete Random Variables Stephen Bush Department of Mathematical Sciences MM2: Statistics - Week 3 - 1 Random Variables • Reference: Devore § 3.1 – 3.5 • Definitions: • An experiment is any process of obtaining one outcome where the outcome is uncertain. • A random variable is a numerical variable whose value can change from one replicate of the experiment to another. • Sample means and sample standard deviations are random variables • They
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simple event; correctly use the concepts of conditional‚ independent‚ mutually exclusive events ‚ and apply the multiplication and addition rules to perform probability computations; ILO5. compute binomial and Poisson probabilities‚ the expected value and standard deviation of a binomial and Poisson experiment; ILO6. compute probabilities for a normal distribution and determine normal scores from specific probability requirements. Syllabus 1. Data collection and sampling Data collection Taking a
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University of Sharjah Industrial engineering and management Department 0405324: Simulation Term: Spring 2010/11 Automated Milking system Done by: Israa Abulawi U00010793 Rawan Abulaban U00011154 Directed to Dr. Imad Alsyouf 12/17/2011 Executive Summary: Our Project is About the Automated Milking System in AlAin Dairy Farms in UAE‚ we focused on the Milking time and the Production of milk ‚ we tried to implement suitable modifications for the process to
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Burger Tycoon: A Real World Application Burger Tycoon is an online strategy games on addictinggames.com that mirrors real life operations from the farm to the feedlot‚ and from the franchise to the corporate headquarters. It gives students a hands-on chance to rule their own burger empire from the comfort of their own home or dorm room. Before playing this game‚ I did not realize how complex the process is behind making a hamburger and that making money in a big corporation is not a simple task
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Quantitative Methods BITS Pilani Pilani Campus Course handout BITS Pilani Pilani Campus Session-1 Instructor Details Dr. Remica Aggarwal 1214 C ; FD-1 Department of Management Email: remica_or@rediffmail.com Mobile: 09772054839 BITS Pilani‚ Pilani Campus Course Details • • • • • • • Management Science Use of QM/QA Modelling Techniques Data Analysis Techniques MS Excel QM for Windows Test BITS Pilani‚ Pilani Campus Quantitative Methods • • • • • • • Operations
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= 1 – 0.0317 – 0.1267 = 0.8416 Question 2 In a small town‚ there are two post offices. The number of customers arriving at each of the post office is a Poisson process‚ with an average of 6 customers per hour at post office A‚ and 4 customers per hour at post office B. The number of customers arrival at the two post offices are independent of one another. (a) What is the probability that there are exactly 2 customers arrive at the two post offices in a period of 30 minutes
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8.1 BINOMIAL SETTING? In each situation below‚ is it reasonable to use a binomial distribution for the random variable X? Give reasons for your answer in each case. (a) An auto manufacturer chooses one car from each hour’s production for a detailed quality inspection. One variable recorded is the count X of finish defects (dimples‚ ripples‚ etc.) in the car’s paint. No: There is no fixed n (i.e.‚ there is no definite upper limit on the number of defects). (b) The pool of potential jurors for
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