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Course: ENGR 691, Fall 2009
School: Wisconsin
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of Impact Quality on Healthcare Trends Impacting Healthcare Increasing costs at a rate greater than general inflation therefore increasing the % of the GDP dedicated to healthcare. Growing international and national competition (e.g., Specialty Hospitals) Threatens profitability Decreases profit margins Consumerism Elderly Population Aging of the population is a contributor to increased healthcare...

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of Impact Quality on Healthcare Trends Impacting Healthcare Increasing costs at a rate greater than general inflation therefore increasing the % of the GDP dedicated to healthcare. Growing international and national competition (e.g., Specialty Hospitals) Threatens profitability Decreases profit margins Consumerism Elderly Population Aging of the population is a contributor to increased healthcare expenditures[i] The number of Americans 85 years or older increased at a steady 4.3% growth rate per year. The population growth rate of Americans between 90 and 99 years old averages 6.1% per year. While the centurion population growth rate averaged 8.4% over the last 10 years and it grew at a projected phenomenal rate of 15.3% from 1999 to 2000. The end result is that the population is living longer and more productive lives. [i] Accessed from the U.S. Census Bureau Web-Site on February 2, 2001 (http://www.census.gov /population/estimates/nation/intfile2-1.txt) Trends Impacting Healthcare Societal concerns about the quality of the US healthcare system vs. Other Developed Countries Better outcomes Smaller per capita expenditures Health insurance shields consumers from the true costs of medical care Reimbursement for New Technologies (I.e. PET Scanners) Nursing Shortages Trends Impacting Healthcare HMO Failures Medicare and Non-Medicare Federal and State Regulations and Insurance Programs Medical Errors False Claims "Rockiness" of some state Medicaid programs HIPPA regulations Other Trends What has been the providers response to these trends? Aggressive service development and expanding physical facilities by hospital to attract more patients. Adoption of business practices designed to improve efficiency and effectiveness by physicians. Provider movement towards IDS to improve negotiation positions and market power Application of technology by providers towards improving diagnostic and therapeutic efficacy as well as the facilitation of information transfers Health system consolidation of services, divestiture of unprofitable facilities, HMO's Importance of Quality Improvement in Healthcare Add value to services in terms of increased quality and reduced costs. Improve market share and profitability through greater consumer demand for services. Barriers What QI adoption barriers must be overcome for QI initiatives to work in Hospital Clinic Home Health Company Nursing Home Other Health Care Settings Relationship between QI and Access to Care Quality Health Care = Access to appropriate services in appropriate settings at the appropriate time. Quality Improvements Process Evaluation Process Evaluation = Best Practice Determination + Appropriate Care Sites Process Evaluation Focus Health Care System demonstration to Payers of the delivery high value or quality care within the limits of the healthcare expenditure. Unfettered access does not ensure quality and so QI efforts may need to be directed at redirecting consumer demand to proper settings and types of care Impact of Accreditation Organizations Increase acceptance of QI initiatives Provide incentives for short as well as long term initiatives to improve quality of care and efficiency in healthcare. QI requirements can be counterproductive if Organization attempts to meet the standards rather than improve care Standards are used punitively rather than as a means of QI Standards add administrative overhead to an organization rather than improve the quality or value of services render How has QI reshaped Healthcare Management? It has reshaped the healthcare manager into a "true leader" Clear sense of mission and values Responsibility to envision a different future. Develop true collaborative, working teams that embraces continuous quality improvement Total Quality Improvement Three Quality Philosophies Crosby Deming Juran Quality without Tears Quality is conformance to requirements Quality improvement should emphasize prevention rather than appraisal. Appraisal is checking and inspecting Prevention involved process examination and identify areas where errors may occur and take the steps to remove them permanently. Quality without Tears Ultimate goals is "zero defects" Errors Caused by lack of knowledge or attention "Zero defects" Any error, no matter how small is not acceptable. Cost is the best measurement of quality Price of Non-Conformance Price of Conformance Crosby : How does it work? Transformation occurs only if all employees absorb the common language of total quality and begin to understand their roles. Top management support is key. Importance of QI should be stressed and employees encouraged to form QI teams. 14 step process Deming Quality must be built into the process Organizational excellence Commitment Consistent Purpose Innovations Long Term Planning Resources Improvement of a Competitive position Commitment to producing "zero" defect products Deming Create a secure environment Employ statistical methods rather than 100% inspection Provide education and training Top management should push for continued improvement within the organization Benefits from QI initiatives Reduction in waste Higher productivity Increased market share Cost Reductions Juran Quality is fitness for use. Ultimate goal is to supply products and services meeting the needs of customers Identify needs Communicate need effectively in an easy to understand message or language Quality comprises a) Quality Planning, b) Quality Control and c) Quality Improvement Quality Planning Quality Planning is the creation of a process designed to meet specific goals under operating conditions. Identify internal and external customers Identify needs and features associated with the products or services. Determine process to produce the specific features Determine process capability Meet quality goals under operating conditions Quality Control Quality Control begins to define the control subjects. The end result is that the operation performs according to quality plans. What aspects are critical to overall product quality Define items, units of measure and measurement frequency. Establish requirements and costs based on process capabilities Study the process and take corrective steps to eliminate variances. Quality Improvement Quality Improvement involves Proof of need Identification of Major Projects for Improvement Organization for Quality Improvement: Quality Improvement Control Organization for Quality Improvement: Project Teams Diagnosis to Find the Causes Quality Improvement Quality Improvement involves Reduction of Worker Controllable Errors Remedy Communication of Results Give Recognition Institutionalizing Quality Improvement Differences Crosby Quality Definition Cost of Quality Conformance to Requirements Standard Definition Measure & Monitor Trends Project Improvement Teams (Employee based) Cultural change and motivational tools Juran Fitness for use Standard Definition Measure & Monitor Trends Top down driven Deming Customer defined requirements Monitor and understand process variations Project Improvement Teams (Employee based) No slogans due to lack of follow-up Use of basic statistics to understand the process QI Approach Background Impact on QI Use of basic statistics to understand the process Common Concepts Top Management Leadership Involved in quality improvement Provide leadership role Active and driven participation Corporate Framework for Quality Incorporation of commitment to quality in the organizational mission and values statements Quality Improvement must be a routine organizational activity. Common Concepts Cultural Transformation Emphasize quality Seek improvement not blame Quality Education and Training Training at all levels mgmt and employees Develop a common understanding of quality Provide basic foundational skills in problem solving, cause-effect diagrams, data plotting and simple statistical principles. Common Concepts Continuous Quality Improvement Do not rest on laurels Achieve new levels of quality Develop new products and services At the same time, reduce costs Customer Role Identify needs Measure and monitor satisfaction Develop management complaint systems Common Concepts Focus on System Improvement Constant evaluation of process variations and their sources Remove variations through trans-cultural QI teams Measurement and Experimentation Measure characteristics associated with quality improvement Organization wide training in basic measurement tools and data analysis Common Concepts Recognition and Communication Communicate constantly Recognize employee contributions to the total quality Share employee QI experiences Quality Management Process Integral part of daily management is critical to success and daily management activities should incorporate: Quality Monitoring Quality Control Quality Planning and Quality Improvement Gustafson Organizational Change Model Model of Organizational and Individual Change Feedback Tension for Change Monitoring Superior Attitude Commitment and Planning Change Social Support Skills and Self-Efficacy Tension for Change Identification of two sets of leaders Innovators Have a history of trying new ideas Opinion Leaders Open to change, approach cautiously and respected by most in the organization. Both groups must believe that organizational change needs to occur QI process must alleviate tension not add to it and see the future benefits of CQI. CQI is a Superior Alternative Innovators and Opinion leaders are more likely to seek implementation of CQI when they can Understand and communicate its uniqueness See how the new alternative is superior to existing ways Belief that CQI will correct important organizational weaknesses and open new opportunities well as as meet their own professional needs. Why does CQI work? Determine the customer needs Discovery What does the customer expect? What does the customer want? How can the customer be helped? Building Social Support Social support systems provide a mechanism for individuals to discuss change with other through a) study groups, b) organizational meeting or c) professional organizations. Social support systems allow individuals to see themselves as one of many not facing the challenges of change alone. Successful change through social support is more likely to occur Persons attempting change believe that those they respect Are also changing Want them to change Will help them succeed Believe that failure will not only impact them but their social support group Skills and Self-Efficacy CQI Transformation requires Organizational developed training in concepts, tools and skills associated with CQI. Providing opportunities for practice and feedback. Commitment and Plan to Change When the first four steps are in place, the organization can began to consider change implementation which requires: A commitment to change A plan for change Pilot test the organizational changes to allow for problems to be address before an organizational wide deployment Management Strategy and Schedule for Change should: Examine the corporate mission Is it consistent with CQI Select customers, discover needs and implement programs to meet the needs Develop a vision for the new organization How is it different from the old organization Develop a training plan CQI Initiatives Decide on resources and benchmarks What is Next? Beginning to Change Change takes time Start small Once successful, roll out organizational wide Monitoring and Feedback What worked Strengths Weaknesses Mechanism for Feedback without fear of retribution Group Process Teamwork Cornerstone of QI Efforts Quality Improvement seeks to capitalize on the group process to solve complex problems collaboratively Healthcare systems have successfully implemented QI initiatives Keys to Team Organization Teams Mediums for Change but Person(s) impacted by change must be on the team Motivation is highest when member is invested in the results All Team Members must work together for change Recommended changes should support the teams purpose. Keys to Team Organization Change occurs when a shared perception of change is created Information must be available to everyone Change must be uniform throughout the group to avoid loss of group effectiveness. Team Organizational Benefits Capitalize on diversity Brings different viewpoints and skills to focus on the problem Promote greater buy-in for a project Everyone is a champion for the project Enhance organizational collaboration Foster team work and new organizational relationships How can a team be successful? Meaningful and clearly defined task Formed around specific tasks Task accomplishment is primary goal Objectives should be clear and well articulated Members should have unique and meaningful tasks How can a team be successful? Individual performance should be assessed and appropriate feedback provided Responsibilities Abilities and Interest Project interest determined during selection process Undergo conditioning to improve commitment Discussion with team leader (Simple Objective) Formal Training (Complex Objective) Regular Feedback concerning team success in meeting objectives I. Project Selection Viewpoints of key players should be considered: Internal Customers Executive Management External Customers Regulators Accreditation Agency Group Process Techniques Development of Ideas Brainstorming Brainwriting Nominal Group Technique Idea Selection Benefits and Barriers List Reduction Multivoting Brainstorming Produces ideas quickly and eliminate team stalemates Two key priniciples Allows total team participation No commentary allowed Wealth of Ideas generated Brainstorming Steps Single statement problem definition A "Who, What or How" Statement Idea consideration w/o discussion Record ideas verbatim with little or no editorializing (written or verbal) Continue process until no new ideas are generated Brainwriting The exercise is most beneficial when The subject is controversial One or more persons may dominate the team thwarting brainstorming Steps Provide paper Present problem like in brainstorming case Place five ideas on each sheet and place in center of the table Continue cycle until no new ideas are generated after 10 minutes Consolidate ideas from sheets and create a final list Nominal Group Technique Modified brainstorming exercise Useful when the team has (1) dominant members (2) idea generation problems due to difficult interpersonal relationships (3) team is unusually reticent to deal with the issue or (4) reserved team interactions and creativity needs encouragement Benefits and Barriers Purpose is to clear identify the benefits of a particular idea and the potential barriers to implementation. The exercise can help overcome implementation problems and increase organizational acceptance Usually the exercise is utilized after idea generation but it can be used to determine the extent and locus of organizational resistance to change Issues w/Benefits and Barriers Clearly identifies but does not devise a plan to eliminate barriers Can create tension and "block" generation of idea interventions Always explore benefits before barriers to defuse emotions An outside facilitator may be beneficial Distribution of details regarding the proposed change must occur before the meeting Crucial when change is difficult for an organization to achieve List Reduction Used at the end of a brainstorming session to consolidate ideas in order to make them more usable. Provide opportunity for group dynamics to encourage teamwork to determine...

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Wisconsin - ENGR - 691
IE 691 Advanced Topics in Quality ImprovementWednesday, 8:50-11:50 amInstructor: Darek Ceglarek Ph.: 265-3457; Office: ME 266E Email: darek@engr.wisc.edu; Office Hours: T, R 5:15 - 6:00 or by appointmentPROJECTS: Description and Samples(1) Pleas
Wisconsin - ENGR - 691
FDA OKs Stent to Improve Heart TreatmentEmail this Story Apr 25, 9:54 AM (ET)By LAURAN NEERGAARD (AP) Graphic shows how a new drug coatedstent can be used in some cases of blocked artieries. (AP. Full ImageWASHINGTON (AP) In a major advan
Wisconsin - ENGR - 691
IE691: Information Sensing and Analysis for Manufacturing Processes Fall 2004Instructor: Shiyu Zhou Location and Time: 2321 ENGR HALL, 2:30p-3:45p, T, R. Office: 266A Mechanical Engineering Building Office Hour: 4:00~5:00pm T R Phone: 608-262-9534 E
Wisconsin - ENGR - 691
1. As the new administrator of Heart R Us hospital, I would like to determine how our length of stay compares for DRG 104 (Cardiac Value w/Cardiac Cath) vs. DRG 105 (Cardiac Value w/o Cardiac Cath). I have only been able to collect 12 months worth of
Wisconsin - ENGR - 691
Working Conditions SurveyPlease fill out and return this survey to the researcher from the University of Wisconsin-Madison. We want your opinions about your working conditions, your performance, and your health. Answer the following questions as com
Wisconsin - ENGR - 691
Questions pertaining to course text reading Assignment for February 24 class session1. In his list of the main items to be included in a national health program, Henry Sigerist rated "medical care" only fourth. "(Page 113 - B&G) Why do you think tha
Wisconsin - ENGR - 691
SPRING 2003 UNIVERSITY OF WISCONSIN-MADISONIE 691: Financial Engineering in Manufacturing Enterprise SystemsName: _ Something about yourself: Hometown: Degree, Program & Exp. Graduate Date: E-mail Address: Why you decided to take this course:__ _
Wisconsin - TEAM - 691
Andy Muelleradmueller@wisc.edu Current Address: 444 W. Mifflin St. Apt #2 Madison, WI 53703 608-256-1959 OBJECTIVE EDUCATION Permanent Address: 4829 Sherwood Rd. Madison, WI 53711 608-274-9626To have a challenging, interesting, and meaningful co-o
Wisconsin - TEAM - 691
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Wisconsin - WEEK - 753
Regional Studies, V.13, pages 439-451.
Wisconsin - ENGR - 753
Email list for IE 753 (Spring 2003) Name Susana Torres-Corona Yoshi Saitoh Matt Krueger Prashant Ram Brian Hicks Kamisha Hamilton Sam Glazer Alice Pawley Jen Schwarz Farheen Khan Jasmine Ku Carmen Mendez-Cruz Todd Loushine Jeff Walker Email torrescor
Wisconsin - ENGR - 617
VIRTUAL SURVEILLVANCE SERVICES Daisy Wong, PhD dwong@medmined.comAgenda MedMined Overview Traditional vs. Virtual Infection Surveillance Data Mining and application to InfectionSurveillance2MedMined Business OverviewHQ in Birmingham, AL 1
Wisconsin - ENGR - 663
Lecture 1. Occupational StressStress PhysiologyThe primary role of the physiological stress response is to: Mobilise the bodies fuel reserves Convert fuel to forms suitable for transportation and use Increase oxygen in the parts of the body th
Wisconsin - ENGR - 663
Lecture 2. Psychology of StressEmotion vs PhysiologyHistorical Perspective William James (1892) "Emotions are a tendency to `feel' rather than to `act'." "Emotions have their bodily `expression', . strong muscular activity ." "Coarser"
Wisconsin - ENGR - 323
IE 323Introduction to duality in LPWhat is duality? Relationship between 2 LPs Each LP has associated with it a unique LP called its dual. The original LP is called the primal. If we start with a dual problem and take its dual, we get the prima
Wisconsin - ENGR - 466
Design forCustomer Needs (CN) Functional Requirements (FR) Design Parameters (DP) Process Variables (PV)XRationaleAspects of modern engineering: Interdisciplinary nature of design Good design is not only to users, but for those who manuf
Wisconsin - ENGR - 466
Psychology in DesignDifferences in thinkingPerception Interpretation Mental modelsPanda Monkey BananaLeaps of AbstractionIE 466: Session 3, Slide 2Differences in Personality"I'm glad they liked my story" "I sure clobbered them in that deb
Wisconsin - ENGR - 323
IE 323Non-Linear Programming: Modeling IssuesMain points Local versus global optimality: We really want a global optimum NLP solvers only find local optima When will a local optimum also be global? Simple tests for this property Examples of
Wisconsin - ENGR - 3399
IE 323Facility location problemsBasic idea We have to choose locations for a number of facilities that interact with each other: Cost of interactions (shipments, movement of people, etc.) depends on distances involved We want to locate the faci
Wisconsin - ENGR - 323
IE 323Integer Programming: IntroductionBasic ideas Optimization model whose solution has to be integer: No fractions Most models we'll consider are linear integer programs Nonlinear integer programs exist but: Extremely hard For most, we do
Wisconsin - ENGR - 323
IE 323Static workforce schedulingOverview of problem Meet work requirements with fewest number of employees Example uses post office workplace Different numbers of employees needed on different weekdays Union contract: full time employees only
Wisconsin - ENGR - 323
IE 323Non-Linear Programming: Convex Feasible Sets ExampleExample: Advertising Allocation Assign ads to each type of television show drug to minimize advertising cost: Soap operas Football games The company wants at least 40 million men and a
Wisconsin - ENGR - 323
IE 323Non-Linear Programming: Convex Feasible Sets and the GM PropertyConstrained problems We saw that: convexity implies the GM property (for minimization) concavity implies the GM property (for maximization) But we didn't consider constrain
Wisconsin - ENGR - 1199
IE 323Introduction to simplex method1Initial basic feasible solution Pick first basic feasible solution to be x1=0, x2=0 (just for convenience): Slack variables are basic Decision variables are non-basic What are values of basic variables?
Wisconsin - ENGR - 323
IE 323Blending problemsBasic issue in blending Given quantities of (continuous) inputs Blend these to get outputs Generally, quantity constraints on output Quality (octane, min content, etc.) constraints Costs/constraints inside blending proc
Wisconsin - ENGR - 323
IE 323Aggregate planning models1Aggregate planning Complex production process involving Demands Variable workforce size Overtime possibilities Inventory requirements Familiar question: among all possible ways to do it, which costs least?
Wisconsin - ENGR - 323
IE 323Sensitivity analysis example1Consider a change in objective function Increase profit of product one from 4 to 5: Product one is already in optimal basis Since its profitability is increasing, this change can't take it out of the basis
Wisconsin - ENGR - 323
1. Linear Programming Problem Company A has 2 grades of inspectors, 1 and 2, to undertake quality control inspections. At least 1,500 pieces must be inspected in an 8-hour day. Grade 1 inspectors can check 20 pieces an hour with an accuracy of 96%. G
Wisconsin - ENGR - 323
STANDARD FORM Maximize Subject to c1 x1 a11x1 a21x1 +c1x2 +c1x3 +a13x3 +a23x3 . +am3x3 +c1x4 +a14x4 +a24x4 . +am4x4 b1 b2 bm+a12x2 +a22x2 . . am1x1 +am2x2 xi 0 for all iCONVERT FROM MINIMIZING TO MAXIMIZING Minimize c1 x1 +c1x2 +c1x3 +c1x4is
Wisconsin - ENGR - 323
ADVERTISING ALLOCATION PROBLEM Minimize Subject to 50x + (Total cost) 100y 405x1/2 + 17y1/2 (Number of male viewers)20x1/2 + 7y1/2 60 (Number of female viewers)
Wisconsin - ENGR - 323
EXAMPLE Maximize Subject to 9x1 6x1 + 5x2 + 3x2 + 6x3 + 5x3 x3 - x1 - x2 xi = 0 or 1 + x3 + x4 for i=1,2,3,4 + 4x4 + 2x4 + x4 10 1 0 0
Wisconsin - ENGR - 323
PLAYER ASSIGNMENT PROBLEM Maximize Subject to 3x1 +2x2 +2x3 +1x4 (Total defense ability) +2x5 +3x6 +1x7 +1x7 4 +1x6 +1x6 +3/5x6 +1/5x6 +2/5x6 +1x7 2 1 +3/5x7 1.8 +2/5x7 1.8 +2/5x7 1.8 11x1 +1x3 +1x5 (Number of guards) 1x3 +1x4 +1x5 (Number of f
Wisconsin - ENGR - 323
Product Mix Problem OPTIMAL SOLUTION - SUMMARY REPORT (NONZERO VARIABLES) Variable Value Cost 1 VAR 1 1000.0000 6.0000 2 VAR
Wisconsin - ENGR - 323
Product Mix Problem OPTIMAL SOLUTION - DETAILED REPORT Variable Value Cost Red. cost Status 1 VAR 1 1000.00
Wisconsin - ENGR - 320
Statistical Analysis of Output from Terminating SimulationsChapter 6Last revision December 17, 2006Simulation with Arena, 4th ed. Chapter 6 Stat. Output Analysis Terminating SimulationsSlide 1 of 23What We'll Do .Talk about Exam I Hom
Wisconsin - ENGR - 320
Fundamental Simulation ConceptsChapter 2 (Continued)Simulation with Arena, 4th ed. Chapter 2 Fundamental Simulation ConceptsReview and Agenda Advantage and disadvantage of simulation A Simple Processing SystemSeveral Possible Objectives
Wisconsin - ENGR - 320
Review for Exam IIMay 5, 2008What We'll Do . Today Exam Review Tomorrow Nana's office hour: 1-2:30, 3:30-4:20 Mavis's office hour: 2:30-4:00 Wednesday Exam Day Review for Exam General Advices Warm-up Periods and Run Length Random N
Wisconsin - ENGR - 320
Lecture 22Simulation Output AnalysisLast Time Verification Validation 2Today Statistical issues Output analysis Determining replications Determining runlengths 3Statistical Analysis of Output Samples generated by running
Wisconsin - ENGR - 320
Lecture 5Fitting Distributions to Data (continued)AnnouncementsPlease see me after class.If you didn't receive an email from me last week. If you still have problems or questions about registering/switching between/for lecture or lab.[Intr
Wisconsin - ENGR - 320
Welcome to ISyE 320/321!Introduction to SimulationSystems System facility or process, actual or planned Examples abound . Fast-food restaurant Supermarket Bank operation Airport operations (passengers, security, planes, crews, baggage) Tra
Wisconsin - ENGR - 320
Lecture 6Simulation BasicsAnnouncementsIIE Industry Meeting w/ AccentureTODAY! 1227 EH, at 7:00 Learn about an IE's role in consulting. Pizza will be served.[Introduction]HomeworkReviewSimulationSummary2Today Submitting homework
Wisconsin - ENGR - 320
Lecture 15Markov Processes ContinuedAnnouncementsVenkatesh returns to teach lab sections Project 1 Team Evaluations Print from webHomework 5 on web today due Tuesday, April 1, 2003Handin this Thursday 2AnnouncementsProjec
Wisconsin - ENGR - 320
Further Statistical IssuesChapter 12Last revision August 26, 2006, 2003Simulation with Arena, 4th ed.Chapter 12 Further Statistical IssuesWhat We will DoToday (4/16) Review Non-homogeneous Poisson Process Compound Poisson Process Vari
Wisconsin - ENGR - 320
Lecture 19Queueing TheoryAnnouncementsNo class Thursday, April 10th for Engineering Expo 2Last TimeQueueing Theory Airport example BirthDeath process 3TodayQueueing Theory Continued M/M/1 examples M/M/1 equation
Wisconsin - ENGR - 320
IE 320 Simulation and Probabilistic ModelingFall 2002 Time: TR 1:00am - 2:15pm Place: 376 ME Instructor: Mehmet Bozbay Email: bozbay@cae.wisc.edu Office hours: Wednesdays and Fridays 11:15-12:15 ME 275 Matthew John Vischulis Email: mjvischu@students
Wisconsin - ENGR - 320
IE 320 Simulation and Probabilistic ModelingSummer 2004 Time: MTWR 1:00 PM - 2:15 PM Place: 382 ME Instructor: Mehmet Bozbay Email: mbozbay@wisc.edu Office hours: Mondays and Wednesdays 11:30-12:30 ME 275 Hillier/Lieberman, Introduction to Operation
Wisconsin - ENGR - 320
Assignment 04(Due Tuesday, March 4, 2003 11am, Weight: 100 points)Poisson and Exponential Problems1. The jobs to be performed on a particular machine arrive according to a Poisson input process with a mean rate of two per hour. Suppose that the m
Wisconsin - ENGR - 320
IE 320 Summer 2004 Assignment #9 1. A Company needs to replace its high-use photocopying machine. Should thecompany purchase a model similar to the one it currently has or purchase a slightly more expensive one that promises to be 20% faster on jobs
Wisconsin - ENGR - 320
IE 320 Fall 2002 Assignment #3 due Thursday October 03, 2002 1. One method of estimating the arrival-rate function (t) of a non stationary Poisson arrival process is as follows: Break up the time period of interest into intervals [t0, t1); [t1, t2);.
Wisconsin - ENGR - 320
IE 320/321September 05, 2002a) Random Variables (RV) When a random experiment is performed, the quantities of interest that are determined by the result of the experiment are known as random variables. - Discrete RV: that can take on at most a cou
Wisconsin - ENGR - 320
IE 320/321: Simulation and Probabilistic Modeling Fall 2002 (Due October 24, 2002)Group Project 1A.Identify a random phenomenon in the real world that you can model using a continuous random variable. You may choose to observe an arrival or servi
Wisconsin - ENGR - 320
IE 320 Fall 2002 Assignment #7 due Tuesday November 26, 20021. Problem 17.6.21 a) b) (page 898) 2. Problem 17.6.25 (page 899) 3. Problem 17.7.5 a) b) c) d) (page 901) Extra Credit Problem: Problem 17.6.24 a) b) d) (page 899)
Wisconsin - ENGR - 320
IE 320 Fall 2002 Assignment #8 due Thursday December 5, 20021. Problem 18.3.2 (page 927) 2. Problem 18.4.12 (page 929) 3. Problem 18.4.15 (page 930) 4. Problem 18.4.18 (page 930)
Wisconsin - ENGR - 320
IE 320 Summer 2004 Assignment #3 1. One method of estimating the arrival-rate function (t) of a non stationary Poisson arrival process is as follows: Break up the time period of interest into intervals [t0, t1); [t1, t2);. ,not necessarily of equal l
Wisconsin - ENGR - 320
IE 320/321 June 21, 2004 Stochastic Processes Models of dynamic systems that are subject to uncertainty. A stochastic process is nothing more than a sequence of random variables ordered by an index set. {Y (t ); t T } The values taken by Y(t) are
Wisconsin - ENGR - 320
** ** Formatted Listing of Model: ** C:\Documents and Settings\default\Desktop\assignment04solution.mod **
Wisconsin - ENGR - 320
Lecture 18Queueing TheoryAnnouncementsHW 5 due today Exam Appeals deadline today Queueing Theory notes on Wendt Course Reserve 2Project 1Overall good job Please see me if I made comments you do not understand Average score ~ 93
Wisconsin - ENGR - 320
Lecture 16Continuous Time Markov ProcessesAnnouncementsProject 1 Team Evaluations Print from webSee me after class if you were absent and didn't get your test back on TuesdayHandin this today! 2Last TimeAnother Markov chain
Wisconsin - ENGR - 320
Queueing Theory ExamplesExample 1Two one-barber shops sit side by side. Each can hold a max of 4 people, and any potential customer who finds a shop full will not wait for a haircut. Barber 1 charges $11 per haircut and takes an average of 15 minu
Wisconsin - ENGR - 320
Exam #1March 6, 2002Open Book & Open Notes (100 Points Total)Note: Partial credit will be given if you indicate the correct approach. Also, you do not need to simplify complex mathematical expressions. Please put your name on the top of each p
Wisconsin - ENGR - 575
1What is Six Sigma?A business initiative developed by Motorola in the early 1980's A disciplined approach to improve process quality and improve "bottom line" results using common statistical tools A performance target of 3.4 defects per million o