DIT 1141: OPERATIONS MANAGEMENT DEPARTMENT OF DECISION AND INFORMATION TECHNOLOGIES COLLEGE OF COMMERCE AND FINANCE VILL

1. DIT 1141: OPERATIONS MANAGEMENT DEPARTMENT OF DECISION AND INFORMATION TECHNOLOGIES COLLEGE OF COMMERCE AND FINANCE VILLANOVA UNIVERSITY

2. INTRODUCTION

3. INTRODUCTION • Operations management is the process of obtaining and utilizing resources to produce useful goods and services so as to meet the goals of the organization.

4. INTRODUCTION • Production management is concerned with the manufacturing of goods: • Examples of goods: • cars • books • chairs • computers • houses • etc.

5. INTRODUCTION • Operations management is also concerned with the management of service industries as well as the manufacturing of goods.

6. INTRODUCTION • Examples of services: • retailing/food • banking • education • health care • utilities • insurance • government agencies • etc.

7. OVERVIEW OF OPERATIONS MANAGEMENT MODEL Input: resources raw materials machines personnel capital land/buildings utilities information etc. Output Goods or Services Transformation Process Control

8. OVERVIEW OF OPERATIONS MANAGEMENT MODEL • Operations management considers how the input are transformed into goods or services. • Control is when something is learned about the goods or services that is used to more effectively transform future goods or services.

9. EXAMPLE OF OPERATIONS MANAGEMENT PROCESS • Automobile factory • Input

10. EXAMPLE OF OPERATIONS MANAGEMENT PROCESS • Automobile factory • Input • steel, plastic • glass, paint • tools • equipment • machines • personnel, buildings • utilities, etc.

11. EXAMPLE OF OPERATIONS MANAGEMENT PROCESS • Automobile factory • Input • steel, plastic • glass, paint • tools Transformation • equipment process • machines • personnel, buildings • utilities, etc.

12. EXAMPLE OF OPERATIONS MANAGEMENT PROCESS • Automobile factory • Input Output • steel, plastic • glass, paint • tools Transformation • equipment process • machines • personnel, buildings • utilities, etc.

13. EXAMPLE OF OPERATIONS MANAGEMENT PROCESS • Automobile factory • Input Output • steel, plastic Car • glass, paint • tools Transformation • equipment process • machines • personnel, buildings • utilities, etc.

14. OPERATIONS MANAGEMENT QUESTIONS • 1. How many items will be demanded next month? • 2. How many items should be produced next month? • 3. How many workers are needed to satisfy the proposed production level?

15. OPERATIONS MANAGEMENT QUESTIONS • 4. If a plant is built, how should the activities be scheduled so that the project is completed on time, within budget, and with acceptable quality? • 5. How is the quality of our output measured and how is it improved? • 6. If tires are needed, how many should be ordered?

16. EXAMPLE OF OPERATIONS MANAGEMENT PROCESS • Hospital • Input

17. EXAMPLE OF OPERATIONS MANAGEMENT PROCESS • Hospital • Input • patients, doctors • nurses, drugs • beds • building • medical equipment • support staff, computers • utilities, etc.

18. EXAMPLE OF OPERATIONS MANAGEMENT PROCESS • Hospital • Input • patients, doctors • nurses, drugs Transformation • beds Process • building • medical equipment • support staff, computers • utilities, etc.

19. EXAMPLE OF OPERATIONS MANAGEMENT PROCESS • Hospital • Input Output • patients, doctors • nurses, drugs Transformation • beds Process • building • medical equipment • support staff, computers • utilities, etc.

20. EXAMPLE OF OPERATIONS MANAGEMENT PROCESS • Hospital • Input Output • patients, doctors A treated patient • nurses, drugs Transformation • beds Process • building • medical equipment • support staff, computers • utilities, etc.

21. EXAMPLE OF OPERATIONS MANAGEMENT PROCESS • University • Input

22. EXAMPLE OF OPERATIONS MANAGEMENT PROCESS • University • Input • students, professors • secretaries

23. EXAMPLE OF OPERATIONS MANAGEMENT PROCESS • University • Input • students, professors • secretaries, drugs

24. EXAMPLE OF OPERATIONS MANAGEMENT PROCESS • University • Input • students, professors • secretaries, drugs

25. EXAMPLE OF OPERATIONS MANAGEMENT PROCESS • University • Input • students, professors • secretaries, lab equipment • dormitories • staff, computers • buildings • etc.

26. EXAMPLE OF OPERATIONS MANAGEMENT PROCESS • University • Input • students, professors • secretaries, lab equipment • dormitories • staff, computers Transformation • buildings process • etc.

27. EXAMPLE OF OPERATIONS MANAGEMENT PROCESS • University • Input Output • students, professors • secretaries, lab equipment • dormitories • staff, computers Transformation • buildings process • etc.

28. EXAMPLE OF OPERATIONS MANAGEMENT PROCESS • University • Input Output • students, professors A more highly • secretaries, lab equipment educated • dormitories student • staff, computers Transformation • buildings process • etc.

29. DECISION MAKING IN OPERATIONS: THE ANALYTIC HIERARCHY PROCESS

30. INTRODUCTION • What is the Analytic Hierarchy Process (AHP)? • The AHP, developed by Tom Saaty, is a decision-making method for prioritizing alternatives when multi-criteria must be considered. • An approach for structuring a problem as a hierarchy or set of integrated levels.

31. INTRODUCTION • AHP problems are structured in at least three levels: • The goal, such as selecting the best car to purchase, • The criteria, such as cost, safety, and appearance, • The alternatives, namely the cars themselves.

32. INTRODUCTION • The decision-maker: • measures the extent to which each alternative achieves each criterion, and • determines the relative importance of the criteria in meeting the goal, and • synthesizes the results to determine the relative importance of the alternatives in meeting the goal.

33. APPROACH • How does AHP capture human judgments? • AHP never requires you to make an absolute judgment or assessment. You would never be asked to directly estimate the weight of a stone in kilograms. • AHP does require you to make a relative assessment between two items at a time. AHP uses a ratio scale of measurement.

34. APPROACH • Suppose the weights of two stones are being assessed. AHP would ask: How much heavier (or lighter) is stone A compared to stone B? • AHP might tell us that, of the total weight of stones A and B, stone A has 65% of the total weight, whereas, stone B has 35% of the total weight.

35. APPROACH • Individual AHP judgments are called pairwise comparisons. • These judgments can be based on objective or subjective information. • For example, smoothness might be a subjective criterion used to compare two stones. Pairwise comparisons could be based on touch.

36. APPROACH • However, suppose stone A is a diamond worth $1,000.00 and stone B is a ruby worth $300.00. • This objective information could be used as a basis for a pairwise comparison based on the value of the stones.

37. APPROACH • Consistency of judgments can also be measured. Consistency is important when three or more items are being compared. • Suppose we judge a basketball to be twice as large as a soccer ball and a soccer ball to be three times as large as a softball. • To be perfectly consistent, a basketball must be six times as large as a softball.

38. APPROACH • AHP does not require perfect consistency, however, it does provide a measure of consistency. • We will discuss consistency in more detail later.

39. AHP APPLICATIONS • AHP has been successfully applied to a variety of problems. • 1. R&D projects and research papers; • 2. vendors, transport carriers, and site locations; • 3. employee appraisal and salary increases; • 4. product formulation and pharmaceutical licensing; • 5. capital budgeting and strategic planning; • 6. surgical residents, medical treatment, and diagnostic testing.

40. AHP APPLICATIONS • The product and service evaluations prepared by consumer testing services is another potential application. • Products and services, such as self propelled lawn mowers are evaluated. • Factors include: bagging, mulching, discharging, handling, and ease of use. • An overall score for each mower is determined.

41. AHP APPLICATIONS • Would you make your purchasing decision based solely on this score? • Probably not! Some of the information will be helpful. • Some additional questions are: • How important is each criterion? • Would you weigh the criteria the same way? • Are all of the criteria considered important to you? • Are there other criteria that are important to you? • Have you ever thought about these issues?

42. RANKING SPORTS RECORDS • The AHP has been used to rank outstanding season, career, and single event records across sports. • Season • 1. Babe Ruth, 1920: .847 slugging average • 2. Joe DiMaggio, 1944: 56 game hitting streak • 3. Wilt Chamberlain, 1961-62: 50.4 points per game scoring average

43. RANKING SPORTS RECORDS • Career • 1. Johnny Unitas, 1956-70: touchdown passes in 47 consecutive games • 2. Babe Ruth, 1914-35: .690 slugging average • 3. Walter Payton, 1975-86: 16,193 rushing yardage • Single event • 1. Wilt Chamberlain, 1962: 100 points scored • 2. Norm Van Brocklin, 1951: 554 passing yards • 3. Bob Beamon, 1968: 29' 2.5" long jump

44. RANKING SPORTS RECORDS • How do we compare records from different sports? • It all depends on the criteria that you select! • Golden and Wasil (1987) used the following criteria: • 1. Duration of record - years record has stood, years expected to stand • 2. Incremental improvement - % better than previous record • 3. Other record characteristics - glamour, purity (single person vs. team)

45. RANKING SPORTS RECORDS • Did this article end all arguments about sports records? • Absolutely not! • In bars and living rooms across the country, people still argue about sports. • AHP provides a methodology to structure the debate. • Different criteria and different judgments could produce different results.

46. A FINAL POINT ABOUT SPORTS • In reading the sports pages we often see discussion of how well teams match up across different positions. • These match-ups are often used to predict a winner. • Match-ups is a pairwise comparison concept!

47. AHP APPLICATIONS • Our culture is obsessed with quantitative rankings of all sorts of things. • There are many measurement problems associated with rankings of products, sports teams, universities, and the like. • Many of these issues are discussed on a web site at: • http://www.expertchoice.com/annie.person.

48. APPLES AND ORANGES • The discussion of how to compare records from different sports recalls a saying from childhood:

49. APPLES AND ORANGES • The discussion of how to compare records from different sports recalls a saying from childhood: • You can’t compare apples and oranges. All you get is mixed fruit!

50. APPLES AND ORANGES • The discussion of how to compare records from different sports recalls a saying from childhood: • You can’t compare apples and oranges. All you get is mixed fruit! • After the discussion about sports, do you still believe this statement?