The Relationship Between Unit Production Time And Cumulative Number Of Units Essay Sample free essay sample

Harmonizing to Chase. Jacobs. and Aquilano ( 2006 ) . a learning curve is a line exposing the relationship between unit production clip and cumulative figure of units produced ( p. 135 ) . Any concern environment on single or organisational degree can profit from utilizing the acquisition curve. Additionally. â€Å"learning curve theory is based on three premises: 1. The sum of clip required to finish a given undertaking or unit of a merchandise will be less each clip the undertaking is undertaken. 2. The unit clip will diminish at a diminishing rate. 3. The decrease in clip will follow a predictable pattern† ( Chase. Jacobs. Aquilano. 2006. p. 135 ) . Pizza Store Layout Simulation The way to a successful and moneymaking concern involves happening the right expression that would cipher how to diminish losingss and maximise gross revenues. Mario’s Pizzeria shop layout simulation required the category to take a place of a eating house director and make up ones mind how to increase current profitableness. We will write a custom essay sample on The Relationship Between Unit Production Time And Cumulative Number Of Units Essay Sample or any similar topic specifically for you Do Not WasteYour Time HIRE WRITER Only 13.90 / page The 3rd premise of the acquisition curve. â€Å"the decrease in clip will follow a predictable form ( Chase. Jacobs. Aquilano. 2006. p. 135 ) . applies to this hebdomads assignment the most. A director should ever see operational features such as the line length. the figure of clients in the eating house. the waiting clip spent in the line. the entire clip spent in the eating house. and the service installation use ( University of Phoenix. 2002 ) . Performance Prosodies| |Groups |Groups |Balked 2/4 |Avg. delay |Avg. queue |Profit |Lost gross revenues | | |of 2 |of 4 | | | | | | |Week 1-2 |71 |105 |2/38 |11. 64 |3. 13 | $ 1. 033 | $ 1. 170 | |Week 3-4 |70 |106 |6/14 |5. 99 |2. 55 | $ 1. 498 | $ 510 | |Week 5-6 |70 |106 |6/11 |4. 52 |2. 53 | $ 1. 571 | $ 420 | |Week 7-8 |96 |143 |9/18 |3. 49 |2. 84 | $ 2. 050 | $ 675 | Table 1. Simulation ConsequencesTable One with the simulation consequences from Mario’s Pizzeria scenario shows how with clip operational determinations influence the key prosodies: delay clip. queue length. net income. and lost gross revenues. Week Three-Four. The simulations required make up ones minding how many tabular arraies for the groups of two and four. the wait staff. and the kitchen staff Mario’s Pizza needs so it would halt losing clients. diminish the delay clip. and increase the net income. Originally the eating house had 14 tabular arraies for four and no tabular arraies for two. and the figure of balked clients consisted of the groups of four. By altering the distribution of tabular arraies and set uping precedency regulation the eating house reduced the delay clip in half and enjoyed a $ 1. 498 net income. However. the eating house still was lost 20 groups. as they could non wait 5. 99 proceedingss. and the eating house lost possible $ 510 in gross reve nues. Week Five-Six. Next the Mario’s Pizzeria manual oven broke down. and the director has a obvious chance to increase productiveness of the kitchen by buying the Plax ovens. In add-on to one Plax ovens. the director decided so purchase one Menu Point system. which should diminish the delay clip. As a consequence. the delay clip and the waiting line length have been reduced significantly. The net incomes increased. while the lost gross revenues decreased. Week Seven-Eight. The eating house director is now must do a determination how to turn to the increasing figure of clients. He can either lease the bakeshop following door Cream Puffs or set up a Take Out counter. The director made the most profitable pick and rented the bakeshop following door. Although the delay clip significantly decreased. and the net incomes jumped up to $ 2. 050. the eating house lost 36 groups. which translates into $ 675 in gross revenues. Alternate Procedure. When analysing the public presentation informations and the eating house capacity it is evident that there is room for farther betterment. When Mario’s Pizzeria rented next-door Cream whiff it had to increase the fig ure of the wait staff. kitchen staff. and purchase another Plax oven. Use of the last two constituents is merely at 58. 33 % . by opening a Return Out counter the eating house will take advantage of the unutilized potency of the kitchen staff and the oven which will ensue in increased gross revenues. and perchance cut down the figure of the doomed clients. Decision The Mario’s Pizzeria simulation demonstrated the acquisition curve theory that was conducted over the eight-week period. The Numberss in Table One illustrate how the acquisition curve affects to the Mario’s Pizzeria layout reorganisation. One must retrieve that pull offing delay lines. is non about shorter or longer waiting lines. but about keeping a balance between the demand for service and the capacity of the system to supply service ( University of Phoenix. 2002 ) . Mentions Chase. R. B. . Jacobs. F. R. . A ; Aquilano. N. J. ( 2006 ) . Operations Management for Competitive Advantage ( 11th ed. ) . New York. New york: McGraw-Hill/Irwin. University of Phoenix. ( 2002 ) . Process Control and Problem Solving [ Multimedia ] . Retrieved from University of Phoenix. OPS571- Operations Management web site.