1 / 39

Operations management

Operations management. Session 3: Measures: Capacity, Time, and More. Previous Week. What are the key concepts learned in the last week?. Class Objectives. Review of the last week How do we quantitatively evaluate a process? Capacity Time Other? Little’s Law

kateb
Télécharger la présentation

Operations management

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Operations management Session 3: Measures: Capacity, Time, and More

  2. Previous Week • What are the key concepts learned in the last week? Operations Management

  3. Class Objectives • Review of the last week • How do we quantitatively evaluate a process? • Capacity • Time • Other? • Little’s Law • A general rule that links various performance measures • Examples • Summary Operations Management

  4. Analyzing Business Process Inputs Outputs • Our purpose is to examine a transformation process from the perspective of flows. • The unit being transformed is typically referred to as a job and can represent a customer, an order, material, money, information, etc. Transformation Process Operations Management

  5. Throughput Rate • In general, the inflow rate and the outflow rate fluctuate over time. Define the average in (out) flow rates as the long-run average number of jobs that flow into (out of) the system. • In a stable environment, the average inflow rate is equal to the average outflow rate • The average flow rate through the system is referred to as the throughput rate assessed as the number of jobs per unit time. Operations Management

  6. Measure: Capacity • Definition: The number of units, per unit of time, that can be processed. • Examples: • A casher can serve 20 customers per hour • The capacity of a server is 30000 hits per min • A worker can assemble 2.22 hamburgers per min • A stove can cook 20 hamburgers per min or 0.33333 per second (Note: Units are important!) • It is a rate: Units/Time Operations Management

  7. Process Capacity • Patties cook in 60 seconds; the stove holds 20 patties. • Assembly of a hamburger takes 27 seconds per hamburger. • 10 workers are available to assemble hamburgers. • What is the capacity of the cooking stage? What is the capacity of the assembling stage? • What is the capacity of the process? Raw Material Cook Assemble Deliver Operations Management

  8. Analysis Suppose an order for 60 hamburgers is placed. What will happen? 1:27 1:54 2:27 2:54 3:27 3:54 10 20 30 40 50 60 Assembly First 20 Second 20 Third 20 Cooking 3:00 1:00 2:00 If order continues to come, how many more hamburgers do we produce for every minute? Operations Management

  9. Bottleneck Analysis • The stove, operating 100% of the time, can push out: 20 hamburgers / 1 minute = 20 hamburgers per minute. • The workers, operating 100% of the time, can push out: 10 hamburgers / 27 seconds = 22.2 hamburgers per minute. • The stove is the bottleneck resource; it pushes out the slowest amount of hamburgers per time period. Operations Management

  10. Calculating Capacity • The capacity of a process is determined by the slowest (bottleneck) resource. • To calculate the bottleneck resource, calculate the amount of “stuff” each resource can push out per unit time. The bottleneck resource is the resource that pushes out the least amount of “stuff” per unit time. • Would hiring an additional worker increase the revenue? Operations Management

  11. Utilization Rate Operations Management

  12. Utilization Rate • Utilization rate is a measure of efficiency. • It measures the percentage of products/services that the process is producing what it is designed (suppose) to do. • An example: • The capacity of a cashier in Starbucks is 96 customers per shift. • The cashier’s throughput rate is only 72 customers per shift. • What is the capacity utilization? 72/96 = 0.75 Operations Management

  13. Utilization Rate • What is the meaning of the number 0.75? • The cashier is busy only 75% of the time. • 25% of the time the cashier is idle and not doing any productive work. • What are the managerial implications? Operations Management

  14. Utilization Rate • Can utilization rate be greater than 1? Operations Management

  15. Measure: Time How long it takes to turn patties into burgers? 1:27 1:54 2:27 2:54 3:27 3:54 10 20 30 40 50 60 Assembly First 20 Second 20 Third 20 Cooking 3:00 1:00 2:00 Operations Management

  16. Throughput Time • Different units may spend different amount time. • What is throughput time? • The average time a unit stays in the system Operations Management

  17. Throughput Time • Average time a customer spends in a bank • Average time a book stays at the Amazon.com’s warehouse • How do we measure throughput time? Waiting Processing Customer arrives Service begins Service ends Throughput Time Book arrives Stored Order arrives Picked Packaged Shipped Throughput Time Operations Management

  18. Flow Measures: Work in Process • Work in Process (WIP) Inventory: the number of units at a point of time. • Example 1: The WIP in Disneyland is the number of customers waiting, eating, resting, or playing in Disneyland. • Example 2: The WIP in Space Mountain is the number of customers waiting for or riding in Space Mountain. Operations Management

  19. Flow Measures: Throughput rate • What is the relationship betweenthroughput rate throughput time and WIP? WIP Throughput rate is two unit per unit of time Time Operations Management

  20. Little’s Law Throughput Time = (Average) WIP / Throughput Rate • Example: Bank Teller • Average WIP: 6 customers • Throughput rate: 12 customers per hour • Throughput time: 6/12 = 0.5 • A customer spends (on average) 0.5 hours in the bank Operations Management

  21. Little’s Law • In the bank example on the previous overhead … • Does this mean each customer spends 0.5 hours in the bank? • How many customers arrive on average in an hour? • How many customers leave on average in an hour? Operations Management

  22. Implications of Little’s Law • Given average WIP and throughput rate, we can calculate throughput time • Relatively easy to measure WIP and throughput rate • Keeping WIP fixed, reducing throughput time results in a higher throughput rate. • Throughput Rate = Average WIP / Throughput Time Operations Management

  23. Implications of Little’s Law • Average number of customers in a restaurant: 50 • Average number of customers arriving (and leaving) per hour: 30 • The throughput time is 50/30 = 1.66 • A customer spends (on average) 1hr and 40 mins. The restaurant is losing money. How can an OM person help? Operations Management

  24. Admission Flow • Marshall provides higher education to executives and receives about 1000 applications per month. • The evaluation starts with a preliminary classification with basic information: • Group A: Applicants with desired recommendations, working experience, etc. (50% of the applicants) • Group B: Other applicants. (50% of the applicants) • Applicants in group A will be further considered through an advanced review. • Applicants in group B will be rejected. Operations Management

  25. Admission Flow • On average there were: • 200 applications in the preliminary review stage • 100 applications in the advanced review stage • How long does group A spend in the application process? • How long does group B spend in the application process? • How long is the average process time? Operations Management

  26. Admission Flow • The admission process 100 50% Accept Process 1000 200 50% Reject Process Operations Management

  27. Admission Flow • Let us do a detailed analysis • How long do the applicants spend in the preliminary review stage? TT = WIP/TR=200/1000 = 0.2 * 30 days = 6 days • Applicants spend 6 days in the first stage • Applicants from group B receive an answer in 6 days on average Operations Management

  28. Admission Flow • How long do the applicants from group A spend in the advanced review stage? • TT = WIP/TR=100/(1000*50%) = 0.2 • Applicants from group A spend 6 days on average in the advanced review stage. • Applicants from group A receive answer in 12 days (6 + 6) on average. Operations Management

  29. Admission Flow • What is the average processing time? • 6*0.5+12*0.5 = 9 days • Is there an alternative way to calculate the average waiting time? Operations Management

  30. Alternative Solution • What is the average processing time? Operations Management

  31. Admission Flow • Little’s Law holds for complicated systems. Operations Management

  32. Emergency Room: Example • Let us calculate the average waiting time in an emergency room. • Imagine a system in which a patient can be treated in exactly 15 minutes. • Two patients arrive at minute 15, and one patient arrives at minute 45. • What is the average waiting time? • Is there enough capacity? Operations Management

  33. Emergency Room: Example • Imagine the following sequence of event Service 1 2 3 Waiting 2 60 75 30 45 15 3 1,2 Operations Management

  34. Emergency Room: Example • Do we have enough capacity? • What is the utilization rate? • Why patients wait? Operations Management

  35. Emergency Room: Example In the waiting room, • Average WIP = (0 + 1 + 0 + 0) / 4 = 0.25 • Average waiting time = • Calculate average waiting time directly = (15 + 0 + 0)/3 = 5 minutes Operations Management

  36. Emergency Room: Example For the total time spent (waiting + service), • Average WIP = (0 + 2 + 1 + 1) / 4 = 1 • Average waiting time = • Calculate average time spent directly = (15 + 30 + 15)/3 = 20 minutes Operations Management

  37. Emergency Room • Randomness/Variability forces resource idleness and longer waiting time. • Little’s Law still holds. Operations Management

  38. What Have We Learned • Process Measures • Throughput Rate • Capacity • Throughput Time • WIP • Little’s Law Operations Management

  39. Next Time • Kristen’s Cookie Company • Everybody: read the case and be prepared for class discussion • Presenting teams: prepare a write-up and presentation for 10 minutes (exactly) • Note that Kristen’s cookies case slides (and all case slides) will not be posted to Blackboard. Operations Management

More Related