Alistair Wu has requested that I look at what the lowest transportation agenda and cost can be based on informations that he has provided. He wants to cognize what the lowest possible cost of transporting will can be. Mr. Wu is besides sing increasing production at the Shanghai mill from 1. 300 to 2. 800 units. and wants to guarantee that this growing will be an low-cost pick. The first chart that was given lists the mill capacity and what each warehouse demand is. The 2nd chart lists the monetary value of transporting from each mill to each warehouse. The chart looks at the demand in the warehouses every bit good as the cost to transport at that place from each mill. It so generates a cost effectual transportation program to transport merchandises to the warehouse with least transporting disbursal and fills those warehouses foremost. It so allocates extra merchandises to other warehouses that have higher transportation monetary values. This is apparent with Shuzworld H and Shuzworld F. the plan ships the most merchandises to the lower priced warehouses 1 and 3. Warehouse 1 demand 2. 500 units but Shuzworld F merely produces 2. 200 units.

That means Warehouse 1 will take all off the units from Shuzworld F and still hold a demand of 300 units. Warehouse needs 1. 800 units and Shuzworld H produces 2. 300 units. This means Warehouse 3 will have all of its units from Shuzworld H and Shuzworld H will still hold an surplus of 500 units. After this. the lowest cost after the first is looked for. Warehouse 3 is already taken attention of so none of the costs need to be looked at in that column. The following most efficient cost is Shuzworld H to Warehouse 1 and Shanghai to Warehouse 2. Shanghai can merely bring forth 1. 300 units so Warehouse 2 will take those units and still hold a demand for 300 more units. Warehouse 1 merely needs 300 more units to finish its demand so it will take those units from Shuzworld H go forthing Shuzworld H with and surplus of 200 units. At the terminal of this. Warehouse 2 still needs 200 units so the warehouse will acquire those units from Shuzworld H. The graph demoing this is once more on the excel sheet. Overall. when the costs are added up. the entire cost of transporting the units this manner will be the company $ 13. 600. A1. Computer Analysis

Shanghai Expansion

Alistair Wu is be aftering to spread out production at the Shanghai works from 1. 300 to 2. 800. The inquiry of what the monetary value of the transportation will be after the addition and whether this would be a favourable move for the company. The computing machine plan analysis shows that the addition in production will do a more favourable transit agenda and lessening transit costs. Alternatively of Warehouse 2 holding to have units from two different mills. it can have all of the units it need from the lower cost. Shanghai. Shanghai will still hold 1. 300 units left over and Shuzworld H with have 200 excess units but it will diminish the transit costs by 200 dollars. Below is the computing machine generated graph that shows these alterations. A1. Shanghai Expansion Computer Analysis

A1a. Decision Analysis Tool Justification

Excel OM/QM Transportation Model was used to do the analysis. Transportation Modeling was chosen because the tool finds the lowest optimum costs when transporting merchandises from several locations to several finishs. The plan looks for the lowest cost in the transportation program alternatively of by path clip or convenience. Mr. Wu was specifically concerned with happening the cheapest transportation agenda and this tool is made to make that. B1. Machine Reliability

Shuzworld has three computing machine driven machines that are used to bring forth the deck places. At this minute there is non a backup machine if one of the machines goes down. This means that the places can non be finished or production will be halted until a machine is replaced or repaired. If the machine is backed up the dependability will increase and the likeliness of holds in production will diminish. By proving the dependability of each machine we can find which machine should be backed up to increase dependability. All three machines together with no backup have a dependability of 75. 68 % . If machine one is backed up the dependability increases to 87. 78 % .

If machine two is backed up the dependability increases to 82. 49 % . If machine three is back up the dependability increases to 76. 43 % . If any machine is backed up the dependability overall additions. nevertheless there is more dependability if machine one is backed up. Handel merely wants to endorse up one machine so it must be decided which machine with increased dependability the most when backed up. By utilizing the expression { ( Probability of first constituent working ) + [ ( Probability of 2nd constituent working ) ten ( chance of necessitating 2nd constituent ) ] . So the best machine to endorse up is machine one to increase the dependability from 75. 78 % to 87. 78 % . B2. Computer Analysis

Machine 1 Analysis

Machine 2 Analysis

Machine 3 Analysis

B2a. Decision Analysis Tool Justification

This determination theoretical account is used because it allows me to mensurate the overall system dependability compared to the affect it would hold if adding a back-up machine to any one of the current machines. This will diminish holds in production should at that place be a malfunction of a machine. This tool shows the best manner to increase efficiency on the assembly of the computing machine driven shoe machines by heightening the dependability of the least dependable machine. C1. Shoelace Order

Angela Down from the Shuzworld accounting section wants aid in minimising their stock list costs in respects to telling shoe laces for a certain shoe. Shuzworld has been stuck with a higher stock list of shoe laces than they would wish to hold and would wish to minimise their costs. They use 300. 000 shoe laces per twelvemonth with an estimated cost of $ 125 for every order to the providers. The estimated keeping cost of each brace of lacings is $ . 10. In order to assist her with this ; I used the economic order measure theoretical account ( EOQ ) . The one-year disbursals for telling and hive awaying the stock list will be $ 1. 369. 31. The optimum stock list that they should maintain on manus should be 27. 386 and the mean stock list around 13. 693. Ms. Down should order the optimum degree of shoe laces 11 times a twelvemonth to avoid deficits. C2. Computer Analysis

C2a. Decision Analysis Tool Justification

The economic order measure is used for this state of affairs because it shows the figure of braces of lacings that can be added to the stock list each clip an order is placed to minimise the retention and ordination costs. It provides the information that can be used to command the stock list degrees and costs.

D. Waiting Line System

Shuzworld aims to maintain client satisfaction at its highest. A client attack that focuses on doing the client happy is of topmost importance. One manner to accomplish this is to guarantee that client delay clip is kept to a lower limit. Specific inquiries have been posed for concern ; how many clients will be in the system ; how many clients on norm will be in line ; and what the chance is of one being in line or being served? The company is looking at staffing each shop with lone one full-time teller. The inquiry of whether the demand for an extra teller has besides been presented. The pilot shop showed that they had a sale every 10 proceedingss or 6 gross revenues per hr and each dealing took an norm of 5 proceedingss at the registry or 12 minutess and hr. The waiting line system was used to analyse if one or two cahiers would be effectual.

The first inquiry posed is how many clients will be in the system ( waiting in line or being served ) . on norm? My information indicates that in the individual teller design the mean figure of clients in the system is 1. In the multiple teller theoretical accounts with two tellers. this figure falls to 0. 53 clients. Your following inquiry asks what the mean clip a client will pass in the system ( waiting in line and being served ) will be is? In the individual teller theoretical account. my information shows that the mean clip in the system will be 0. 1667 proceedingss or 10 proceedingss. When the multiple teller theoretical accounts are applied utilizing two tellers the mean clip clients spend in the system falls to 0. 0889 proceedingss or 5. 33 proceedingss. Your 3rd inquiry was. “how many clients will be in line on average” .

There will be 0. 5 clients in line on norm at any one clip if you utilize the individual teller theoretical account. Adding a 2nd teller reduces the mean figure of clients in line to 0. 03. Next you ask how long clients will hold to wait in line. on norm. The information shows that the individual cashier theoretical account norms a delay clip in the waiting line of 0. 083 min or 5 min. However use of the two cashier theoretical account will ensue in the mean wait clip falling to 0. 0056 or 34 sec. The 5th inquiry posed regarded the chance of no 1 being in line or being served. The chance of no 1 being in line or being served is 0. 5 or 50 % if you use the individual teller system. The chance of no 1 being served or in line if a 2nd teller is added is 0. 6 or 60 % . D1. One Cashier Waiting Line

The analysis showed that a one teller waiting line on norm would hold 1 client in the system and 0. 5 clients in the waiting line. The mean clip a client will pass in the system is 0. 1667 proceedingss or 10 proceedingss. The mean wait clip in the waiting line is 0. 083 proceedingss or 5 proceedingss. The chance that no client will be in line is 0. 5. Server use is 0. 5 or 50 % in this theoretical account.

D2. Computer Analysis- One Cashier Line

D1. Two Cashier Waiting Line

The analysis showed that a two cashier waiting line on norm would hold 0. 53 clients in the system and 0. 03 clients in the waiting line. The mean clip a client will pass in the system is 0. 0889 proceedingss or 5. 33 proceedingss. The mean wait clip in the waiting line is 0. 0056 or 34 seconds. The chance that no client will be in line is 0. 6 or 60 % . Server use is 0. 25 or 25 % in this theoretical account D2. Computer Analysis- Two Cashier Line

Recommendation

With the given computations my recommendation is to utilize the two teller system so that clients have a decreased delay clip and the company can run into client satisfaction. Using two tellers will diminish the clip clients are waiting in half. Even though at that place would merely be one client waiting with a one teller system. this may dissatisfy client. Adding a 2nd teller drops the mean client waiting clip from five proceedingss to 20 seconds. Given the concern aims presented to me. this is a far better solution as it gets your client base in and out of the shop and back to the office every bit rapidly as possible.

D2a. Decision Analysis Tool Justification

The waiting line theoretical account was used for the determination tool because it shows a comparing of two systems ( in our instance one or two tellers ) so you can do an appropriate determination on which system to utilize. This tool shows mean wait times by utilizing the figure of visitants in shop per hr and the clip it takes for each dealing. This tool showed by using a 2nd teller the delay clip is lowered therefore giving our clients a more sweet experience.