College of Engineering, Design and Physical Sciences
Module
Module Code
System Modelling and Simulation
MN5617
Module Leader
Assessment Method
Project and Report
Submission Deadline
Additional Material/Software
Arena Software
Learning Outcomes
Critically evaluate and implement principles of systems approach and analysis.Describe, critically evaluate and appropriately apply manufacturing concepts to real world industrial systems and to design, plan and solve arising problems that day-to-day management of such systems encounter.Develop the required skills for modelling, simulating and critically analysing performance of deterministic and stochastic systems.Acquire the skills to recognise the elements and rules governing supply chains/logistics and reverse logistics for better management and engineering of these systems.Apply key tools and techniques for planning and critically evaluating the design of enterprise systemsModelling of interactions and negotiations between components of enterprise systemsDemonstrate integrated modelling of key processes within manufacturing systemsUse simulation and optimisation techniques to identify improvements for Enterprise integrationPreparation of written reportsCritically evaluate a range of complex scenarios and make informed decisions.Exercise a high level of initiative and personal responsibility.
Every year the assignment for the Systems Modelling and Simulation module has a different theme. For example, in the previous years the assignments had healthcare, banking services, airports, and logistics themes. This year our assignment is about Manufacturing company. All this variation allows you to appreciate how this fundamental subject can be applied to different problems which fundamentally have similar performance indicators. Enjoy this year’s assignment!
XYZ Company produces three types of products- product A, product B and product C. Each product requires a certain number of different types of components (C1, C2… C5) to be assembled. Figure 1 shows the products and their respective components.
Figure 1: Component requirements for each product type
Components C1 to C5 a fed to the production line according to exponential distributions with parameters 50, 45, 52, 80, and 49 (all in minutes) respectively. Assembling times are given by TRIA (10,12,15) for A, TRIA (37,48,55) for B and TRIA (18,20,22) for C.
The plant layout consists of 5 stations. Stations 1 through 4 are machining stations and each component has a separate processing sequence through these stations. Operation times at each machine are shown in table 1. After various machining process, all components go to the fifth station which is the assembly station. Components are put together according to product type.
At each of the machine stations, the highest priority is given to the longest components that have been in the system.
Station 5 has two assembly robots that may be selected at random, but one has failure problems. It breaks down periodically and historical data on these breakdowns have shown a mean uptime of exponential, λ=120 minutes. The time to repair also follows an exponential distribution with a mean of 4 minutes. The system operates 8 hours shift in a day. Transfer times between each two station is TRIA (7, 8, 10) minutes.
Due to increase in demand, and the need to reduce production costs, the company is considering ways to effectively reduce Work-In-Process and reduce throughput times whilst maintaining a good level of resource utilisation. To achieve this, management wants to identify the bottleneck processes and increase their capacities if necessary.
As a systems analyst consulted by this company,
1 Develop a simulation model with appropriate animations of the production system. You may use the system layout in figure 2 for your animation.
2 Identify the bottleneck process and propose alternative system improvement initiatives that will improve the performance factors listed. Model your proposed system and compare results for resource utilisation, Work-In- Process, throughput times and number out of each product type with the original system
3 Discuss your improvements with reference to the original system in a written report to the management of the company. The report should present a strong case for your proposal and clearly show the values of the performance factors before and after your improvement (you may want to use Arena’s output analyser for your comparative studies). Validate the results using statistical means (see lecture notes 5 and associated references).
4 In addition, the company is considering installation of a conveyor system to transfer entities between stations. You are required to simulate the conveyor system (non-Accumulating) and find the best settings (e.g. velocity) that retains the appropriate resource utilisation but could reduce overall time entities remain in the system. Distances between Stations are:
From Station No.
To Station No.
Distance (all in meters)
1
2
15
2
3
7
3
4
7
4
5
15
5
Out
3
In
1
3
Use Run conditions defined as: Warm-up Period = 30 minutes, Replication Length = 5 days and Number of Replication = 10. The system requires initialisation between replications. Decide on whether to initialise Statistics at Run replications and explain your reasoning why you have made the decision.
Figure 2. Layout of the company’s manufacturing system
Table 1. Component routings and Process times (all times are in minutes and are triangularly distributed)
Components
Station (Time)
Station (Time)
Station (Time)
Station (Time)
Station (Time)
C1
1
(5,8,10)
2
(3,5,7)
3
(4,6,8)
4
(3,5,7)
5
(assembly)
C2
1
(6,8,10)
2
(4,5,6)
4
(4,6,8)
3
(6,9,12)
5
(assembly)
C3
2
(7,9,11)
4
(7,10,13)
3
(7,8,9)
5
(assembly)
C4
1
(5,7,12)
2
(3,5,8)
3
(2,3,5)
4
(3,5,7)
5
(assembly)
C5
2
(4,6,7)
1
(6,10,14)
3
(5,8,11)
4
(3,6,8)
5
(assembly)
You are asked to upload your submission on Wiseflow. Make sure that you upload the following files: Assignment Report, All Arena Models (extension *.doe files) relevant to your submission, and a the *.out (Output Summary Report files generated after successful run of your models). The Summary Report is automatically generated by Arena in the same directory that you run and compile your model.
Part of the allocated mark for each part is for intuitive modelling approach, design, animation, and presentation of the simulation models and the report. The value and the results need to be interpreted and explained clearly.
Submission deadline:
Submission Method: via the WISEflow platform
Late submission rules: as per the University’s policy Provision of formative assessment: Not applicable. Marking criteria: attached (Annex I) Collusion)
** All submissions will be electronically checked for plagiarism. ** Please be aware of University regulations related to academic misconduct (e.g. plagiarism,
https://www.brunel.ac.uk/about/documents/pdf/Senate-Regulation-6-2018-11-07.pdf
It is the student’s responsibility to be aware of the University regulations related to academic misconduct (e.g. plagiarism, collusion). For further information please refer to: Senate Regulations | Brunel University London
Annex I: Brunel University Generic Masters-level Grade Descriptors
These generic grade descriptors are intended to be used as a tool throughout the assessment process (in assessment design, marking/grading, moderation, feedback and appraisal) for any assessment set at Masters Level in the University. They are designed to show no disciplinary bias and are not intended to act as surrogate award or award classification descriptors. The grade descriptors should be read in conjunction with the learning outcomes associated with the assessment.
Grade A++
Work of exceptionally high quality, commensurate with publication in a highly esteemed peer-reviewed journal. Clearly demonstrates a sophisticated, critical and thorough understanding of the topic. Provides clear evidence of originality and clearly demonstrates the ability to develop an independent, highly systematic and logical or insightful argument or evaluation. Demonstrates exceptional ability in the appropriate use of the relevant literature, theory, methodologies, practices, tools, etc., to analyse and synthesise at Masters Level. Shows exceptional clarity, focus and cogency in communication.
Grade Band A (A+, A, A-)
Clearly demonstrates a sophisticated, critical and thorough understanding of the topic. Provides evidence of originality of thought and clearly demonstrates the ability to develop an independent, highly systematic and logical or insightful argument or evaluation. Demonstrates excellence in the appropriate use of the relevant literature, theory, methodologies, practices, tools, etc., to analyse and synthesise at Masters Level. Develop a simulation model with appropriate animations of the production system. You may use the system layout in figure 2 for your animation. Shows excellent clarity, focus and cogency in communication. Critically evaluate and implement principles of systems approach and analysis.
Grade Band B (B+, B, B-)
Clearly demonstrates a well-developed, critical and comprehensive understanding of the topic. Clearly demonstrates the ability to develop an independent, systematic and logical or insightful argument or evaluation. Demonstrates a high degree of competence in the appropriate use of the relevant literature, theory, methodologies, practices, tools, etc., to analyse and synthesise at Masters Level. Shows a high level of clarity, focus and cogency in communication.
Grade Band C (C+, C, C-)
Demonstrates a critical and substantial understanding of the topic. Demonstrates the ability to develop an independent, systematic and logical or insightful argument or evaluation. Demonstrates a significant degree of competence in the appropriate use of the relevant literature, theory, methodologies, practices, tools, etc., to analyse and synthesise at Masters Level. Provides evidence of clarity, focus and cogency in communication.
Grade Band D (D+, D, D-)
Provides evidence of some critical understanding of the topic. Demonstrates some ability to develop a structured argument or evaluation. Demonstrates an acceptable degree of competence in the appropriate use of the relevant literature, theory, methodologies, practices, tools, etc., to analyse and synthesise, but not at Masters Level. Provides evidence of effective communication.
Grade Band E (E+, E, E-)
Work that demonstrates significant weaknesses, but which provides strong evidence that Grade D is within the reach of the student.
Grade F
Work that is unacceptable.
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