1. Introduction In This Deliverable, students will gain knowledge of the basics of Arena, create basic simulations, & analyze simulation output. 2. Objectives: Explain the concept of modeling and simulation Identify the basic tools in Arena Create simulation models in Arena Analyze the simulation report 3. References: Kelton, W., & Sadowski, R. (2015). Simulation with Arena (6th ed.). Boston: McGraw-Hill Higher Education. 4. Equipment/Components/Software: Software Arena Equipment – 5. Procedure: Refer to LAB manuals on Moodle. 6. Grade Rubric: Criteria Weight Modules 20% Animation 20% Arena Report 10% Schedule 10% Analysis 40% 7. Submission Guideline: One Submission per group. 3 files must be submitted per group: – Compressed folder that has the arena model – Submit this report answered. – Submit Report generated by Arena 8. Project Deliverable 2: Case: You and your team are assigned to work on a project for AMV automotive company, as they are planning to add a new battery-powered series for their line of cars. In this Deliverable, you will simulate the Manufacturing process of an automotive production line using Arena Simulation Software. The production process consists of 4 stations. Bodypaint is the first station; the cars are sprayed with high-quality paint and then they are transferred to the assembly station. After the assembly station, they undergo a quality assurance inspection. If the product fails inspection it is moved to the rework station. if they pass the inspection, they are sent to temporary storage awaiting shipment. Details of process times of each station are shown in Table 1. Table 1 – Process times at shop floor stations Sequence of Process Processing Time (Hours) Paint Exponential (6) Assembly Details in Table 2 Inspection Normal (7,2) Rework Weibull (2,5) Table 2 – Details operations at the Assembly line Assembly Process Processing Times (Hours) Battery Dressing Triangular (15, 20, 30) Gearbox Dressing Normal (8,3) Mounting on Body Weibull (2.5,3.5) Once the car assembly process is completed, they go through an extensive quality control check at the inspection station. 25% of the cars fail the inspection and go to the rework station. All completed cards are released into temporary storage where they wait to be sent to the designated showrooms. Customers put their orders either through the internet or company dealerships. On average the company receives orders that follow a Poisson Distribution with the mean value of 2 per day. The daily shift at the factory is 10 hours (7:00 am – 5:00 pm). There are two 0.5 hour Coffee breaks starting at (10:00 am and 2:30 pm) with a lunch break of 1 hour (12:00-1:00 pm). The scheduling rule follows the pre-empt rule (the part is held and work will be resumed once the schedule starts). Tasks: • Simulate the system for a whole year 250 days. • Create the simulation model based on the case given. Analysis (40%): a. What is the Average Number of Orders In? (3 points) Answer: b. What is the Average Number of Cars Out? (3 points) Answer: c. What is the average waiting time in the Battery Station? (3 points) Answer: d. What is the average waiting time in the Paint Station? (3 points) Answer: e. What is the average Utilization for the Battery Dressing Resource? (3 points) Answer: f. What is the number of Reworked cars? (3 points) Answer: g. Based on the results you achieved from your report, were you able to identify any bottlenecks in the system? If yes, please explain what are these bottlenecks and suggest a solution? (Hint: You can use the arena to validate your solution suggestions) (12 Points) Answer:
