ENGG953 subject outline

Faculty of EngineeringSUBJECT OUTLINESubject Code: ENGG953Subject name: MODELLING OF ENGINEERING MANAGEMENT SYSTEMSPre/Co-requisites: NilCredit points: 6Offered: Spring Session 2011, Wollongong Campus/Sydney Business SchoolCONTACTS:Subject Coordinator and LecturerA/Prof Ernest BaafiFaculty of Engineering, Building 4, Room 1343031Telephone 024221Email ebaafi@.au Consultation times Wollongong Campus - Monday: 11.30 am – 1.30 pm & 3.30 pm – 5.30 pmSydney Business School- Tuesday: 4.30 pm – 6.30 pmLecturers:Mr Ken StevensonFacultyEngineeringofEmail ken@.au Consultation times Wollongong Campus: Friday: 12.30 pm – 1.30 pmSydney Business School: Tuesday: 12.30 pm – 1.30 pmDr Senevi KiridenaFaculty of Engineering, Building 8, Room 1045849Telephone 024221Email skiriden@.au Consultation times Friday: 1.30 pm – 3.30 pmStudents will be contacted throughout the Session via UoW SOLS Mail with important informationrelating to this subject. N.B. UoW email and UoW SOLS mail are not the same. Messages sent toSOLS mail do not go to your email account and vice-versa.Subject OutlineConcentrating on the search of appropriate operations research techniques to assist in the solution ofengineering management problems and basic experimental design. Topics include:- the basicprinciples of modelling, decision support models, modelling failure processes, search methods,scheduling models, queuing theory and its application, data collection and design, introduction toexperimental design, principles of design, importance of randomisation, simple comparativeexperiments, experiments with a single factor, randomized blocks and related designs, introductionto factorial designs, Taguchi's philosophy of design.Lecture/tutorial timesWollongong Campus:Lecture/Tutorial Friday 8.30 am - 12.30 pm Room: 6.227Sydney Business School:Lecture/Tutorial Tuesday 1.30 pm - 4.30 pm Sydney Business School1 Macquarie Place, Circular QuayGateway BuildingLevels 8-9, Computer LabLearning OutcomesBy participating in and understanding all facets of this subject a student will be able: No Learning Outcomes UoW EngineeringGraduate Capabilities(i) to understand the principles of developing decision models1, 2, 3(ii) to understand the uses and limitations of decision models and simulation techniques1, 2, 3(iii) to plan engineering management research and analyse data from an investigation1, 2, 3, 4, 5, 7(iv) to acquire a working knowledge of basic simulation techniques an d their limitations 1, 2, 3, 4(v) To acquire a working knowledge of the basic approach to decision modelling1,2,3,4University Graduate Qualities and Engineering Graduate CapabilitiesThe relationship between the Engineering Graduate Capabilities and the University of Wollongong Graduate Qualities can be seen in the table below.Recent ImprovementsAs a result of feedback from student surveys this subject has been improved by introducing Crystal Ball , and SimQuick simulation softwares to model stochastic systems.Text bookIntroduction to Management Science by Bernard W.Taylor III, 10e, Global Edition 2010, Pearson Publications.Other ReferencesNo additional material needs to be purchased. However, students are encouraged to refer other books such as follows:Hillier, F.S. and Lieberman, G.J. Introduction to Stochastic Models in Operations Research Taha,H, Operations Research , Pearson publicationsPidd, Tools for thinking: Modelling in Management Science , Wiley publicationsLevine, D.M. Stephan, D.F., Krehbiel, T.C and Berenson, M.L., Statistics for Managers using Microsoft Excel .UoW Graduate Quality Engineering Graduate CapabilityInformed1. Professional knowledge, grounding and awareness Independent Learners2. Information literacy, gathering and processing3. Research, analysis and evaluation Problem Solvers4. Problem solving skillsEffective Communicators 5. Written communication 6. Oral communication 7. TeamworkResponsible8. Respect for views, values, culture of others 9. Ethics and professionalism10. Sustainability, societal and environmental impactASSESSMENT GUIDELINESYour final subject mark will be calculated from the following:WeightingAssessment Task Learningoutcomes10%(iii)Assignment 1: System optimisation – Due in Week 4 (i),20%(iv)Assignment 2: Design of Experiments – Due in Week 12 (i),Examination Part A: System Optimisation models in Week 6(i), (iii), (iv) 20%20%(ii),(iv) Examination Part B: Design of Experiments in Week 10 (i),Examination Part C: Simulation models Refer to Uni exam timetable (i), (ii),(iv) 30%PC Laboratory work:PC Laboratory work will involve the use of JMP, MS Excel, Crystal Ball and SimQuick simulationsoftware to solve management problems.Submission of Assignments and Penalties for Late Work:Wollongong Campus:Reports/assignments, in hardcopy, should be submitted to and collected from theEngineering Enquiry Centre (EEC). Late submission of fieldwork reports will result in adeduction of 10% of the maximum mark per calendar day. Soft copies of assignments mustalso be submitted via the subject eLearning.Sydney Business School: Arrangements will be made with the lecturers.To submit group report through the EEC, you will need to generate a cover sheet on the web andattach this to your assignment. Hand in the assignment to EEC and the staff will barcode scan your assignment cover sheet. You will then receive a receipt by email. When your assignment has beenmarked, you will also be emailed that it is ready to be picked up from EEC. On collecting your assignment, EEC will barcode scan your student ID card.To generate the cover sheet, go to: http://130.130.8.10/fmi/iwp/res/iwp_auth.htmlLogin: studentPassword: coveritIf you are required to work as a group and are to submit a group assignment or report, nominate ateam leader to take the responsibility of generating the cover sheet, handing in the assignment andcollecting it back from EEC. Only the team leader will be able to collect the assignment. The teamleader should select the <Group Cover> option and ensure that the other team member’s names areentered in the appropriate field.Attendance RequirementsThe University Code of Practice Students states that it is the responsibility of students to attend alllectures, tutorials, seminars and practical work as stipulated in the subject outline. Attendance atfieldwork exercises is compulsory.University and Faculty PoliciesStudents should make themselves aware of the University and/or Faculty Policies regarding plagiarism, special consideration, supplementary examinations and other educational issues andstudent matters. Further information can be found in the Faculty Policy document available fromthe EEC or at URL: .au/eng/about/policy/UOW004034.htmlDetails of referencing system to be used in written workDetails of referencing system to be used in written work are available at URL:.au/academic/4ciii.htmlPlagi a rismPlagiarism will not be tolerated and has led to exclusion. Further information on plagiarism can befound in the Faculty Policy document, with full details available at URL:.au/about/policy/UOW058648.htmlTENTATIVE PROGRAMWeek SBS/Wgong ChapterinTextTopicLecturer/(Tutor)W’gongCampusSydneyBusinessSchool1Tues 26 July Fri 29 July2 & 3Introduction•Learning outcomes•Subject rules and assessment•Types and uses of modelsPART A ‐ SYSTEM OPTIMISATION MODELSSingle Objective Linear Programming (LP)•Terminology, model formulation and assumptions•Objective functions and constraints•2‐D Graphical methods•Solving LP problems with SOLVER•Output/results interpretationsErnestSeneviErnestKen2Tues 2 Aug Fri 5 Aug 4 & 5System Optimisation Models (contd.)•Sensitivity analysis; relationships in duality•Integer‐linear models•Multiple Objective Linear ProgrammingSeneviKen3Tues 9 AugFri 12 Aug 16Principles of Inventory and Materials Management•Economic Order Quantity (EOQ)•Backordering and special sale prices•Economic production Quantity (EPQ)•Make or buy decisionsSeneviKen4Tue 16 Aug Fri 19 Aug 12Decision Making Models•Decision making‐ with/without probabilities•Decision trees•Assignment 1 DueSeneviKen5Tue 23 Aug Fri 26 Aug JMPguidePART B ‐ DESIGN OF EXPERIMENTSFundamentals•Statistical concepts.•JMP techniques applicationsModel Building with One Independent Variable•Regression / Correlation in two dimensions•Association between two variables – prevalence in media /technology.KenKen6Tue 30 Aug Fri 2 Sep JMPguideModel Building with Multiple Independent Variables• General form of the model and model assumptions•Assessing overall model adequacy•First order model with multiple predictors•Second order model and Interaction Model•Residual analysis•How to determine which model fit is the “best”•Indicator (“dummy”) variables•Models with quantitative and qualitative variables•Tests for nested modelsKenKen6 PART A EXAMINATION ‐ SYSTEM OPTIMISATION MODELS Senevi7Tues 6 Sep Fri 9 SepJMPguidePrinciples of Experimental Design•Data can be collected observationally or experimentally.•Terminology•Controlling the information in an experiment•One factor completely randomised designs•Reduction of variance (“noise”) ‐ randomised block design•Volume‐increasing (factorial) design•Replication (sample size) and importance of randomisationKenKen8Tues 13 SepFri 16 Sep JMPguideAnalysis of Variance (one‐way)•Logic behind ANOVA•Demonstration examples with JMP to distinguish whichmean(s) are significantly different•Two factor ANOVA (two factor factorial experiments)•Interaction between factorsKenKen9Tue 20 Sep Fri 23 Sep JMPguideANOVA extended ‐ more than one factor ‐ continued• More complex factorial designs•Nested sampling designs•Checking ANOVA assumptions•Taguchi DesignsKenKenMid Semester Break10Tues 4 Oct Fri 7 Oct14Part C – SIMULATION MODELS•Elements of simulation•Types and uses of simulation models•Simulation models•Principles of Monte Carlo simulation•Generation of random numbersErnest(Ken)Ernest(Ken)10 PART B EXAMINATION ‐ DESIGN OF EXPERIMENTS Ken11Tue 11 Oct Fri 14 Oct 14Simulation with spreadsheets•MS Excel•Crystal BallErnest(Ken)Ernest(Ken)12Tue 18 OctFri 21 Oct 14 Waiting Line Models•Queuing system•SimQuick Basics•Assignment 2 DueErnest(Ken)Ernest(Ken)13Tue 25 Oct Fri 28 Oct Simulation Modeling and Analysis with SimQuick•Modeling arrival and service processes with SimQuick•Applications e.g. Developing machine repair modelErnest(Ken)Ernest(Ken)Refer Uni exam timetablePART C EXAMINATION ‐ SIMULATION MODELSErnestA/Prof EY Baafi, Dr S Kiridena and Mr K Stevenson July 2011。