A: Shuzworld is planning major expansions to its company. There are several projects that the company intends to launch. Shuzworld needs to formulate an operation plan that will provide efficiency and minimize costs for the firm. The company has 8 workstations. For purposes of cost reduction and efficiency the company needs to reduce the number of workstations from 8 to about 5. The company can focus on the project that has a short time, thus increasing on efficiency.
A1: The output of any production is the sole measure of whether the company is doing anything constructive. Resources invested in the production should not exceed those gained from sale of the final product as that would mean that the company is losing.
B: There are various project techniques that can be applied. Amongst them, network is often preferred for large one type of projects especially now that modern software and computer graphics and updated progress of related administrative burden reduction. However, the network is not suitable for repetitive manufacturing process; wire balancing or manufacturing process schedule, but will be more appropriate
B1: The network diagram above provides a blueprint of how tasks are executed and the time taken to complete the tasks. For instance, task A takes 10 minutes while B and c take 9 minutes to complete. The diagram also shows which stations perform the tasks.
C: Trade-offs entails compromising one thing for another. This may occur in an incident where one may aim at quantity, neglecting quality and vice versa. When making decisions entailing such, one should be careful that the end result is something they can work with not something that will send the company packing.
C1: As depicted in the production layout, there are 8 workstations. The workstations have different production rates. I recommend the number of workstations be reduced to a number like 5. This would see to it that all workstations included in the production are efficient. The slower workstations would be eradicated to leave premium ones doing work at a faster and more efficient manner.
C1a: When the workstations have been adjusted accordingly, production will run more efficiently and this in turn will result into a large output. Replacement and repair of faulty machinery will see to it that the occurrence of instances of wastage has been cut down.
D: Shuzworld can use the Monte Carlo in making a decision that helps improve the quality of its products. Monte Carlo Simulation uses random numbers in the evaluation, because many factors are based on (Kendra, 2003). This can help Shuzworld in sort of sample at random, in order to develop the control chart. It can develop the chart by placing the control line under a certain premise which will provide all the system information of the company and show the level of variations. Control chart shows a dual-density rubber foam molding machine created to provide a number of different soles of shoes. 15 randomly selected soles per hour around and evaluate them within 16 hours. The objective is to control limits 99.73%, in the selection process, and the standard deviation is 0.5 inches. All the samples which are between the UCL and LCL has been regarded as natural based variation. The chart provided by Shuzworld shows the control limits, and sample fraction defectives, for a total of 20 employee operators of the eyeleting machines
E2: Several philosophies aimed at reducing wastages and increasing efficiencies should be enacted in the new company. These may include reusing unused raw materials after a production. This cuts down on wastage and hence the cost of obtaining raw materials. Over-ordering of goods is also another issue that should be considered as this can cause accumulation of a certain good that is not selling; this can lead to stalling of company operations. Exchange of some goods in the store that are not required with those that are required from the distributors is also another strategy that may help in efficiency of the plant and ensuring that the products are ever moving.
Works Cited
Kroese, D.P. & Rubinstein, R.Y. (2011). Simulation and the Monte Carlo Method. New York: John Wiley & Sons.
National Institute of Building Sciences. (2013). Project Planning, Delivery and Controls. Retrieved 03 14, 2014, from WBDG: http://www.wbdg.org/project/pm.php
