Simulation Modelling
\nSchool of Physics, Engineering and Computer Science
\nPage 1 of 5
\nCanvas assignments (2021\/22 Academic Year)
\n7ENT1127-0105 Operations Research and Logistics
\nAssignment Title: CW2: Simulation Modelling<\/p>\n
Weighting %:\t60\tSubmission deadline
\n(for students):\t27-04-2022 23:59
\nhours London UK
\nTime.
\nAuthorship:\tIndividual\tTarget date for
\nreturning marked
\ncoursework:\t18-05-2022 23:59
\nhours London UK
\nTime.
\nTutor setting the
\nwork:\tDr Funlade T.
\nSunmola\tNumber of hours you
\nare expected to work
\non this assignment:\t40
\nThis Assignment assesses the following module Learning Outcomes (from Definitive
\nModule Document):
\n1. Evaluate quantitative modelling concepts for problem solving and decision making in a logistics
\ncontext.
\n2. Critique the logical process of modelling complex decision problems.
\n3. Derive solution(s) using a suitable software package when required.
\n4. Apply techniques and practice to model real world logistics problems.
\n5. Critically analyse and report results individually and\/or in a group.
\nAssignment Tasks:
\nManufacturing simulation uses computers to make virtual models of manufacturing processes and
\nsystems, typically with the purpose of collecting important information for use in decision making.
\nOperations researchers and managers uses a variety of simulation software in their practice, one
\nof which is the Witness Simulation software.
\nIn this assignment you are required to produce a report that addresses the following tasks.
\n1. Explain the difference between a good decision and a bad decision. Briefly discuss how
\nconfirmation bias can affect the quality of decisions.
\n2. With reference to Case Study A on Pages 4 and 5 below, you are required to use Witness
\nSimulation software to evaluate decisions relating to due date specification in a job shop. You
\nare required to use a trial-and-error method to determine good due date specification for the
\njobs arriving the case study\u2019s job shop. Use delivery performance in terms of total late\/early
\ncompletion penalty costs to evaluate your due date specification. Start the simulation with an
\nempty shop and run the simulation until 15,000 minutes. Data on the first 5,000 minutes should
\nbe discarded to allow for warm-up period and attainment of steady-state conditions. Clearly
\nstate any assumptions used in the simulation.
\n3. Critically discuss the results of the simulation carried out in Question 2 above and the
\nperformance of the specified due date.
\nAssignmentTutorOnline<\/p>\n
School of Physics, Engineering and Computer Science
\nPage 2 of 5<\/p>\n
Presentation
\nYou must present your work as follows.
\nYour submission for this assignment must be a written report. The report must contain no more
\nthan 2500\u00b110% words including any diagrams, calculations, figures and\/or tables where
\nappropriate. Reports shorter than the word count will not lose marks but will lead to the omission
\nof material which can gain them. Any words over the suggested word count will not be marked.
\nDo not use any mechanism, such as embedded jpeg images containing significant text, to
\ncircumvent the word count.
\nYou are expected to provide a range of secondary sources to underpin your work. These must be
\ncited and referenced according to the Harvard Referencing System. Include the word count in the
\nheader of your report.
\nEnsure that your report is well-structured and choose appropriate number and titles for the
\nsections of the report please. There is no need to number the references section.
\nYour report must follow the guidance above and must include the specific instructions outlined
\nbelow.
\n1. Word-process the report on A4 paper.
\n2. Use 1.15 line spacing.
\n3. Font type must be Arial (font size11).
\n4. Number all pages.
\n5. Ensure that all diagrams \/ tables are labelled and numbered.
\n6. Grammar, spelling and style, as well as clarity, contribute towards the assessment of the
\nreport.
\n7. Use British Spelling i.e., \u2018English (UK) Language\u2019.
\n8. Justify paragraphs \u2013 Align text to both left and right margins, using your word processor to add
\nextra space between words as necessary.
\nYou are expected to provide a significant range of secondary sources to underpin your work.
\nThese should be cited and referenced according to the Harvard Referencing System.
\nAdditional Note on Referencing
\nMark is allocated for referencing in this assignment, and the mark is influenced by the
\nthoroughness and integrity of the work as evidenced by your referencing. Marks are awarded not
\nonly for correct referencing practice, but also the extent to which the arguments have been
\nsupported by cited sources. As highlighted above, related work should be cited and referenced
\naccording to the Harvard Referencing System.
\nSubmission Requirements:
\nThe report must be submitted as a PDF file via the Assignment CW2 submission page on the
\nmodule site. The report is intended to be marked anonymously. Hence, do not include any
\npersonal identifier in your submission.
\nMarks awarded for:
\nThis assignment is worth 60% of the overall assessment for this module.
\nMarks out of 100% awarded for:
\nSchool of Physics, Engineering and Computer Science
\nPage 3 of 5<\/p>\n
Main Tasks\/Allocations\tMarks
\nAvailable
\n%
\nKnowledge and understanding of the subject particularly in the context of the
\ntopic (sample nursing essay examples by the best nursing assignment writing service) covered in the assignment.\t10
\n1.\tExplanation of a Concept:
\nExplain the difference between a good decision and a bad decision. Briefly
\ndiscuss how confirmation bias can affect the quality of decisions.\t10
\n2.\tSimulation Modelling
\nWith reference to Case Study A on Pages 4 and 5 below, you are required
\nto use Witness Simulation software to evaluate decisions relating to due date
\nspecification in a job shop. You are required to use a trial-and-error method
\nto determine good due date specification for the jobs arriving the case study\u2019s
\njob shop. Use delivery performance in terms of total late\/early completion
\npenalty costs to evaluate your due date specification. Start the simulation with
\nan empty shop and run the simulation until 15,000 minutes. Data on the first
\n5,000 minutes should be discarded to allow for warm-up period and
\nattainment of steady-state conditions. Clearly state any assumptions used in
\nthe simulation.\t45
\n(a)\tSimulation Model Development.\t25
\n(b)\tResults and Analysis\t20
\n3.\tCritical Discussion:
\nCritically discuss the results of the simulation carried out in Question 2 above
\nand the performance of the specified due date.\t15
\nOverall presentation, report title and structure, effective communication, keeps to
\nword limit.\t10
\nIntellectual curiosity (Quality of academic sources);Use and presentation of
\nHarvard Referencing.\t10
\nTotal\t100
\nType of Feedback to be given for this assignment:
\nThe presentation will have a percentage mark and generic feedback.
\nAdditional information:
\n\u2022 Regulations governing assessment offences including Plagiarism and Collusion are
\navailable from https:\/\/www.herts.ac.uk\/__data\/assets\/pdf_file\/0007\/237625\/AS14-Apx3-
\nAcademic-Misconduct.pdf (UPR AS14).
\n\u2022 Guidance on avoiding plagiarism can be found here:
\nhttps:\/\/herts.instructure.com\/courses\/61421\/pages\/referencing-avoiding
\nplagiarism?module_item_id=779436
\n\u2022 For undergraduate modules:
\no a score of 40% or above represents a pass performance at honours level.
\nSchool of Physics, Engineering and Computer Science
\nPage 4 of 5<\/p>\n
o late submission of any item of coursework for each day or part thereof (or for hard
\ncopy submission only, working day or part thereof) for up to five days after the
\npublished deadline, coursework relating to modules at Levels 0, 4, 5, 6 submitted
\nlate (including deferred coursework, but with the exception of referred coursework),
\nwill have the numeric grade reduced by 10 grade points until or unless the numeric
\ngrade reaches or is 40. Where the numeric grade awarded for the assessment is
\nless than 40, no lateness penalty will be applied.
\no a score of 50% or above represents a pass mark.
\no late submission of any item of coursework for each day or part thereof (or for hard
\ncopy submission only, working day or part thereof) for up to five days after the
\npublished deadline, coursework relating to modules at Level 7 submitted late
\n(including deferred coursework, but with the exception of referred coursework), will
\nhave the numeric grade reduced by 10 grade points until or unless the numeric
\ngrade reaches or is 50. Where the numeric grade awarded for the assessment is
\nless than 50, no lateness penalty will be applied.<\/p>\n
\u2022 For postgraduate modules:
\nCase Study A
\nConsider a job shop scenario that consists of five machines and has capacity to process two job
\ncategories, CAT-1 and CAT-2. The first machine in the job shop is dedicated to pre-processing CAT-
\n1 jobs only, whilst the second machine pre-processes CAT-2 jobs only. Machines 3 and 4 are
\ndedicated to a variety of operations on both CAT-1 and CAT-2 jobs. Machine 5 is a quality assurance,
\ninspection, machine. Jobs failing inspection are returned to Machine 4 for rework. A job fails
\ninspection with probability of 0.25.
\nJobs arrive the shop into buffers and are selected from the buffers on first-come first-served (FCFS)
\nbasis for processing on machines. Additional buffers may be used in the job shop as necessary and
\njobs arriving buffers are positioned at the end of the buffer queue. Table 1 below contains the
\ncharacteristics of the job categories.
\nTable 1: Characteristics of Job Categories.<\/p>\n
Category\tJob Inter-Arrival Time\tMachine Visitation
\nOrder\tDue Date from the start
\nof processing on first
\nMachine.
\nCAT-1\tNegative exponential
\ndistribution with rate parameter
\nset to 80 minutes.\t1,3,4,5, (4 OR SHIP)\tTime job starts
\nprocessing on Machine 1
\n+ X minutes.
\nCAT-2\tNegative exponential
\ndistribution with rate parameter
\nset to 100 minutes.\t2,3,4,5, (4 OR SHIP)\tTime job starts
\nprocessing on Machine 2
\n+ Y minutes.
\nThe operation times follow uniform distribution, between 3 and 5 minutes on Machine 1, between 4
\nand 8 minutes on Machine 2, between 9 and 12 minutes on Machine 3, between 11 and 20 minutes
\non Machine 4, and between 2 and 6 minutes on Machine 5. The following common assumptions
\nshould be adopted in the study. Each machine has a constant capacity throughout, and the machines
\nare always available. Set-up times are included in the operation processing times. Each of the
\nmachines can process only one job at a time. A job runs through all its operations sequence.
\nSchool of Physics, Engineering and Computer Science
\nPage 5 of 5
\nJobs failing inspection will need to be re-inspected on Machine 5 following rework on Machine 4.
\nVariables X and Y must be determined to specify due date for the jobs. The job shop pays penalties
\nshown in Table 2 for late\/early job completion.
\nTable 2: Penalties for Late \/ Early Job Completion.<\/p>\n
Job Category\tPenalty per late job completion
\n(Pence per minute)\tPenalty per early job completion
\n(Pence per minute)
\nCAT-1\t50\t40
\nCAT-2\t80\t30<\/p>\n","protected":false},"excerpt":{"rendered":"
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