Demonstrate understanding of the principles and techniques associated withsimulation modelling, business process and logic modelling languages.Use simulation techniques and software to develop and evaluate appropriatescenarios for using in the analysis and evaluation of business plan alternatives.Understand the concept of probability/randomness and how it can be modelled toproduce realistic simulation models.Develop a working knowledge of a discrete-event simulation software packagesuch as SIMUL8/ARENA.Scenario DescriptionA shop floor is the area in a manufacturing facility where production is carried out, by machines andoperators. In this scenario, a shop floor consists of 3 production sections, each section has 2 operations isconsidered. These operations are repeated/similar across all sections, so that arrived jobs can beprocessed at any section. Jobs frequently arrive at irregular/random intervals and can select any of thesections based on the queue size (least).The job shop manufacturing system encountered many scheduling problems. These problems includevariations in batch sizes, processing times, inventory levels, work in progress (WIP), performance, etc.The following description shows the flow of operations in this shop floor.• The inter-arrival times of jobs (in minutes) follow a user-defined distribution based onExponential with an Average equal to 10.• The shop floor consists of 3 production sections (Section 1, Section 2, and Section 3). See Figure1 for the shop floor layout.Figure 1: schematic diagram of the shop floor• Upon arrival, the job selects a production section based on the shortest queue size.• Each section has two operations, these operations are repeated across all sections. See Table 1for the shop floor operations.Table 1: Shop floor operationsSECTIONNUMBEROPERATION1 Operation 1 and 22 Operation 1 and 23 Operation 1 and 2• Two machines are used at each section. These machines are similar across all sections. Althoughthese machines are similar, each production section has its own (not shared) machines. See Table2 for further information about the used machines.Table 2: Machines used in each sectionSECTIONNUMBEROPERATION1OPERATION21 M1-1 M2-12 M1-2 M2-23 M1-3 M2-3
M1-1 refers to machine 1, section 1 location• Four skilled operators are working in the shop floor, some of these operates can operate morethan one machine (multi-skills). Each machine requires only 1 operator allocated with therelated skill. See Table 3 for skills of operators.Table 3: Skills of operatorsOPERATION1MACHINE 1OPERATION2MACHINE 2JOHNMIKEJIMFREDJIMMIKE1 Machine requires only 1 operator• Each section has different efficiency in terms of operational/process time. This depends on theallocated operator’s performance (represented here by random expressions). See Table 4 forsection/operation process times.Table 4: Process times of each shop (in minutes)SECTIONNUMBEROPERATION 1 OPERATION 21 UNIF( 10 , 20 ) 252 35 TRIA( 22 , 35 , 43 )3 50 60• Only one job can be processed at a time.• The service discipline follows the First-In-First-Out rule.Increasing productivity is the first industry priority and this leads to using sophisticated technologies thathave changed the outlook of the shop floor. One of these technologies is computer simulation that is usedto imitate the shop floor operations for best performance of resources including operators and machines.Coursework TasksFor this piece of individual coursework, you are required to apply simulation modelling todeliver the tasks below:Task 1- After reading the scenario above, provide problem brief, main aim, objectives, tools andtechniques, and key performance indicators.Task 2- Use tabular form to define and analyse the Shop Floor Scheduling problem. This analysisincludes decomposing the system being investigated into its main components including entities,attributes, activities, state variables, and events.Task 3- An appropriate flowchart with detailed explanations.Task 4- An appropriate Activity Cycle Diagram (ACD) with detailed explanations.Task 5- Develop a business simulation model for 200 jobs to imitate the above scheduling problem(“As-Is” situation) in order to increase productivity of the shop floor operations. Five simulation runs arerequired, at least two experiments (scenarios) to achieve a reasonable:i. Overall simulation time.ii. Queue size at each.iii. Average waiting time.iv. Resource(s)/ service facility(s) utilisations.A comparison via Excel diagrams of the “As-Is” scenario with any other improvement scenarios “WhatIf” is required.Task 6- Conclusion and Recommendations for further improvement (bullet points)Submission Requirements✓ The Hand-out Date: Monday, 5th October 2020✓ Online Submission – by 18:00, Monday 30th November 2020 online submission viaMoodle/AULA. The mandatory submission components are:o A detailed report including all the required tasks 1-6, system analysis table, flowchartdiagram, Activity Cycle Diagram (ACD), both ‘As-Is’ & ‘What-If’ simulation models/snapshots & other relevant comparison diagrams (outlines are provided above).o A copy of the developed “As-Is” simulation model (.s8 extension)o A copy of each of the developed “What-If” scenario (.s8 extension)o A copy of Excel file including all scenarios allocated in multiple sheet tables (‘As-Is’ &‘What-If’) and their experiments outputs, analysis plus overall comparison diagrams.✓ Report Word limitation: 1500 words as an individual report (for the body of the report,excluding Bibliography, References, and AppendicesNotes:
You are expected to use the CUHarvard referencing format. For support and advice on how thisstudents can contact Centre for Academic Writing (CAW).Please notify your registry course support team and module leader for disability support.Any student requiring an extension or deferral should follow the university process as outlinedhere.The University cannot take responsibility for any coursework lost or corrupted on disks, laptopsor personal computer. Students should therefore regularly back-up any work and are advised tosave it on the University system.If there are technical or performance issues that prevent students submitting coursework throughthe online coursework submission system on the day of a coursework deadline, an appropriateextension to the coursework submission deadline will be agreed. This extension will normally be24 hours or the next working day if the deadline falls on a Friday or over the weekend period.This will be communicated via email and as a CUMoodle announcement.Students are reminded of the requirement to comply at all times with CU’s Academic Conductpolicy & procedures. Further details are available via the Student Portal on the CU website andin the Student Handbook.
Assessment CriteriaThe following criteria will be interpreted appropriately according to the nature of the assessment and thegeneral framework set by the module aim and learning outcomes.For a Bare Pass Mark (35%)• Work lacks any academic merit as adjudged by the foregoing.For an Excellent Mark (>69%)• Show a thorough understanding of the purpose of the activity.• Display knowledge of all the relevant principles, theories, and practices and an ability to applythem effectively.• Provide evidence of extensive reading beyond that listed, including academic journals.• Demonstrate an ability to select critical points, evaluate them and communicate the conclusionseffectively.• Develop and run models that reflect as realistically and sensibly as possible given situations.• Develop and run models that are based on sensible and useful options that go beyond givensituations.• Provide analysis, discussion, and comment critically on the results produced by models.• Provide solutions to business problems that are creative and practicable.• Provide sound, supported, discussions of further research that may be needed.Feedback and Support Method: Individual written feedback to be provided on Moodle/AULA:A slot of time will be allocated to provide students with a brief on all the assignment elements. Students arewelcome to contact the lecturer during his contact hours/ THETA hours for any further assistance. However, thereis a clear marking scheme/ direction on the bottom of this coursework directing students on how to prepare andmanage their outputs for best achievement.
Principles and techniques associated with simulation modelling