Reference no: EM132359069

ASSIGNMENT -

Part 1 -

(a) Prepare a flowchart of how the production system operates.

(b) Define the scope of the study and the desired outcome from the simulation study you intend to undertake.

(c) You will be given input data for key variables such as the product type (flavour), batch size, processing time (in minutes per unit), failure rates (TTF expressed as a function of units produced) and repair times (TTR), for each of the process modules as well as a maintenance plan for the process. Analyse this input data and prepare a histogram for each set of observations. Fit a theoretical distribution to your histograms and assess the goodness of fit in each case.

(d) Prepare an Excel spreadsheet containing important replication data, that you anticipate you may want to experiment with in Part 3. (e) Finally, document your work as a professional progress report. This will form a part of your final submission.

Part 2 -

(a) Establish the "base-case" model.

(b) Incorporate into your model the structure, variables and rules you will experiment with in your final submission. You will not have to produce any results for your improvements at this stage, but the model should be prepared.

(c) Develop a simulation model of the operation, using Arena and include key performance information on your screen (queues, state, units processed, orders wasted etc).

(d) Specify and establish all required data structures and arrays to be used by Arena to look up values while the model is running, from your Excel worksheet and enable these to be read automatically by Arena.

(e) Specify the reports and logs that the model will write out (to a text file) and explain how you will use these as part of the analysis.

(f) Verify and validate your model, its operations and the behaviour of key input and process variables, and that the model performs as intended. Demonstrate that you have analysed this data in Minitab.

(g) Document the work performed as part of this stage and prepare the second progress report.

Part 3 -

(a) Design a simulation experiment, specifying the number of replications, replication length, warm-up periods etc., in order to 'optimise' the performance of the process in terms of:

(b) Rules that maximise throughput and yield

(c) Minimise lost time, waste, lost orders

(d) Process utilisation

(e) Machine reliability and availability

(f) Perform sensitivity analyses on key process variables. These will include variables that management may want to investigate further in relation to improved maintenance and operational strategies.

(g) Establish appropriate confidence intervals for your results.

(h) Prepare a final professional report of the entire simulation study.

Note - Word count is not specific. A professional report is required and a model with outlining answers to the questions asked in the parts. No need of part one of the assignment. Part 2 and Part 3 need to be done.

Attachment:- Assignment File.rar