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McGraw-Hill/Irwin Copyright © 2007 by The McGraw-Hill Companies, Inc. All rights reserved. 1 Introduction to Operations Management.

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Presentation on theme: "McGraw-Hill/Irwin Copyright © 2007 by The McGraw-Hill Companies, Inc. All rights reserved. 1 Introduction to Operations Management."— Presentation transcript:

1 McGraw-Hill/Irwin Copyright © 2007 by The McGraw-Hill Companies, Inc. All rights reserved. 1 Introduction to Operations Management

2 1-2 Operations Management  Operations Management is: The management of systems or processes that create goods and/or provide services  Operations Management affects:  Companies’ ability to compete  Nation’s ability to compete internationally

3 1-3 The Organization The Three Basic Functions Organization Finance Operations Marketing Figure 1.1

4 1-4 Business Operations Overlap Operations Finance Figure 1.5 Marketing

5 1-5 Value-Added Process The operations function involves the conversion of inputs into outputs Inputs Land Labor Capital Transformation/ Conversion process Outputs Goods Services Control Feedback Value added Figure 1.2

6 1-6 Value-Added & Product Packages  Value-added is the difference between the cost of inputs and the value or price of outputs.  Product packages are a combination of goods and services.  Product packages can make a company more competitive.

7 1-7 Automobile assembly, steel making Home remodeling, retail sales Automobile Repair, fast food Goods-service Continuum Figure 1.3 Computer repair, restaurant meal Song writing, software development GoodsService Surgery, teaching

8 1-8 Food Processor InputsProcessing Outputs Raw VegetablesCleaning Canned vegetables Metal SheetsMaking cans WaterCutting EnergyCooking LaborPacking BuildingLabeling Equipment Table 1.2

9 1-9 Hospital Process InputsProcessingOutputs Doctors, nursesExaminationHealthy patients HospitalSurgery Medical SuppliesMonitoring EquipmentMedication LaboratoriesTherapy Table 1.2

10 1-10 Manufacturing or Service? Tangible Act

11 1-11 Production of Goods vs. Delivery of Services  Production of goods – tangible output  Delivery of services – an act  Service job categories  Government  Wholesale/retail  Financial services  Healthcare  Personal services  Business services  Education

12 1-12 Key Differences 1. Customer contact 2. Uniformity of input 3. Labor content of jobs 4. Uniformity of output 5. Measurement of productivity

13 1-13 Key Differences 6. Production and delivery 7. Quality assurance 8. Amount of inventory 9. Evaluation of work 10. Ability to patent design

14 1-14 Goods vs Service CharacteristicGoodsService Customer contactLowHigh Uniformity of inputHighLow Labor contentLowHigh Uniformity of outputHighLow OutputTangibleIntangible Measurement of productivityEasyDifficult Opportunity to correct problemsHighLow InventoryMuchLittle EvaluationEasierDifficult PatentableUsuallyNot usual

15 1-15  Operations Management includes:  Forecasting  Capacity planning  Scheduling  Managing inventories  Assuring quality  Motivating employees  Deciding where to locate facilities  Supply chain management  And more... Scope of Operations Management

16 1-16 Types of Operations Table 1.4 OperationsExamples Goods ProducingFarming, mining, construction, manufacturing, power generation Storage/TransportationWarehousing, trucking, mail service, moving, taxis, buses, hotels, airlines ExchangeRetailing, wholesaling, banking, renting, leasing, library, loans EntertainmentFilms, radio and television, concerts, recording CommunicationNewspapers, radio and television newscasts, telephone, satellites

17 1-17 Figure 1.4

18 1-18 Decline in Manufacturing Jobs  Productivity  Increasing productivity allows companies to maintain or increase their output using fewer workers  Outsourcing  Some manufacturing work has been outsourced to more productive companies

19 1-19 Why Manufacturing Matters  Over 18 million workers in manufacturing jobs  Accounts for over 70% of value of U.S. exports  Average full-time compensation about 20% higher than average of all workers  Manufacturing workers more likely to have benefits  Productivity growth in manufacturing in the last 5 years is more than double U.S. economy

20 1-20 Why Manufacturing Matters  More than half of the total R&D performed is in the manufacturing industries  Manufacturing workers in California earn an average of about $25,000 more a year than service workers  When a California manufacturing job is lost, an average of 2.5 service jobs are lost

21 1-21 Challenges of Managing Services  Service jobs are often less structured than manufacturing jobs  Customer contact is higher  Worker skill levels are lower  Services hire many low-skill, entry-level workers  Employee turnover is higher  Input variability is higher  Service performance can be affected by worker’s personal factors

22 1-22 Operations Management Decision Making  Models  Quantitative approaches  Analysis of trade-offs  Systems approach  Establishing priorities  Ethics

23 1-23 Key Decisions of Operations Managers  What What resources/what amounts  When Needed/scheduled/ordered  Where Work to be done  How Designed  Who To do the work

24 1-24 Decision Making System Design – capacity – location – arrangement of departments – product and service planning – acquisition and placement of equipment

25 1-25 Decision Making System operation – personnel – inventory – scheduling – project management – quality assurance

26 1-26 Decision Making  Models  Quantitative approaches  Analysis of trade-offs  Systems approach

27 1-27 Models A model is an abstraction of reality. – Physical – Schematic – Mathematical What are the pros and cons of models? Tradeoffs

28 1-28 Models Are Beneficial  Easy to use, less expensive  Require users to organize  Increase understanding of the problem  Enable “what if” questions  Consistent tool for evaluation and standardized format  Power of mathematics

29 1-29 Limitations of Models  Quantitative information may be emphasized over qualitative  Models may be incorrectly applied and results misinterpreted  Nonqualified users may not comprehend the rules on how to use the model  Use of models does not guarantee good decisions

30 1-30 Quantitative Approaches Linear programming Queuing Techniques Inventory models Project models Statistical models

31 1-31 Systems Approach “The whole is greater than the sum of the parts.” Suboptimization

32 1-32 Pareto Phenomenon A few factors account for a high percentage of the occurrence of some event(s). 80/20 Rule - 80% of problems are caused by 20% of the activities. How do we identify the vital few?

33 1-33 Ethical Issues  Financial statements  Worker safety  Product safety  Quality  Environment  Community  Hiring/firing workers  Closing facilities  Worker’s rights

34 1-34 Historical Evolution of Operations Management  Industrial revolution (1770’s)  Scientific management (1911)  Mass production  Interchangeable parts  Division of labor  Human relations movement (1920-60)  Decision models (1915, 1960-70’s)  Influence of Japanese manufacturers Table 1.7

35 1-35 Trends in Business  Major trends  The Internet, e-commerce, e-business  Management technology  Globalization  Management of supply chains  Outsourcing  Ethical behavior  Increased regulation and product liability

36 1-36 Suppliers’ Suppliers Direct Suppliers Producer Distributor Final Consumer Simple Product Supply Chain Figure 1.7 Supply Chain: A sequence of activities And organizations involved in producing And delivering a good or service


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