1 / 30

Production and Operations Management

Production and Operations Management. Capacity Planning For Products and Services. Learning Objectives. Explain the importance of capacity planning. Discuss ways of defining and measuring capacity. Describe the determinants of effective capacity.

clairej
Download Presentation

Production and 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. Production and Operations Management Capacity Planning For Products and Services

  2. Learning Objectives • Explain the importance of capacity planning. • Discuss ways of defining and measuring capacity. • Describe the determinants of effective capacity. • Discuss the major considerations related to developing capacity alternatives. • Briefly describe approaches that are useful for evaluating capacity alternatives

  3. Introduction • Capacity is the upper limit or ceiling on the load that an operating unit can handle. • Capacity also includes • Equipment • Space • Employee skills • The basic questions in capacity handling are: • What kind of capacity is needed? • How much is needed? • When is it needed?

  4. Importance of Capacity Decisions • Impacts ability to meet future demands • Affects operating costs • Major determinant of initial costs • Involves long-term commitment • Affects competitiveness • Affects ease of management • Globalization adds complexity • Impacts long range planning

  5. Defining and Measuring Capacity • Design capacity • maximum output rate or service capacity an operation, process, or facility is designed for • Effective capacity • Design capacity minus allowances such as personal time, maintenance, and scrap • Actual output • rate of output actually achieved—cannot exceed effective capacity

  6. Actual output Efficiency = Effective capacity Actual output Utilization = Design capacity Defining and Measuring Capacity -- Efficiency and Utilization Both measures expressed as percentages

  7. Example 1 Actual output 36 units/day Efficiency = = = 90% Effective capacity 40 units/ day Utilization = Actual output 36 units/day = = 72% Design capacity 50 units/day Design capacity = 50 trucks/day Effective capacity = 40 trucks/day Actual output = 36 units/day

  8. Determinants of Effective Capacity • Facilities • Product and service factors • Process factors • Human factors • Policy factors • Operational factors • Supply chain factors • External factors

  9. Strategy Formulation • Capacity strategy for long-term demand • Demand patterns • Growth rate and variability • Facilities • Cost of building and operating • Technological changes • Rate and direction of technology changes • Behavior of competitors • Availability of capital and other inputs

  10. Strategy Formulation -- Key Decisions of Capacity Planning • Amount of capacity needed • Capacity cushion (100% - Utilization) • Timing of changes • Need to maintain balance • Extent of flexibility of facilities Capacity cushion – extra demand intended to offset uncertainty

  11. Strategy Formulation -- Steps for Capacity Planning • Estimate future capacity requirements • Evaluate existing capacity • Identify alternatives • Conduct financial analysis • Assess key qualitative issues • Select one alternative • Implement alternative chosen • Monitor results

  12. Forecasting Capacity Requirements • Long-term vs. short-term capacity needs • Long-term relates to overall level of capacity such as facility size, trends, and cycles • Short-term relates to variations from seasonal, random, and irregular fluctuations in demand

  13. Forecasting Capacity Requirements -- Calculating Processing Requirements (Example 2) If annual capacity is 2000 hours, then we need three machines to handle the required volume: 5,800 hours/2,000 hours = 2.90 machines

  14. Planning Service Capacity • Need to be near customers • Capacity and location are closely tied • Inability to store services • Capacity must be matched with timing of demand • Degree of volatility of demand • Peak demand periods

  15. In-House or Outsourcing  Make or Buy? Outsource: obtain a good or service from an external provider • Available capacity • Expertise • Quality considerations • Nature of demand • Cost • Risk

  16. Developing Capacity Alternatives • Design flexibility into systems • Take stage of life cycle into account • Take a “big picture” approach to capacity changes • Bottleneck operations • Prepare to deal with capacity “chunks” • Attempt to smooth out capacity requirements • Identify the optimal operating level

  17. 10/hr Machine #1 10/hr Bottleneck Operation 30/hr Machine #3 10/hr Machine #4 10/hr Developing Capacity Alternatives -- Bottleneck Operation Bottleneck operation: An operationin a sequence of operations whosecapacity is lower than that of theother operations Machine #2

  18. Developing Capacity Alternatives -- Bottleneck Operation Bottleneck Operation 120/hr. Operation 210/hr. Operation 315/hr. 10/hr. Maximum output ratelimited by bottleneck

  19. Developing Capacity Alternatives -- Economies of Scale • Economies of scale • If the output rate is less than the optimal level, increasing output rate results in decreasing average unit costs • Diseconomies of scale • If the output rate is more than the optimal level, increasing the output rate results in increasing average unit costs

  20. Developing Capacity Alternatives -- Optimal Rate of Output Production units have an optimal rate of output for minimal cost. Minimum average cost per unit Average cost per unit Minimum cost 0 Rate of output

  21. Developing Capacity Alternatives -- Economies of Scale Minimum cost & optimal operating rate are functions of size of production unit. Small plant Medium plant Average cost per unit Large plant 0 Output rate

  22. Evaluating Alternatives • Cost-volume analysis • Break-even point (BEP) • Financial analysis • Cash flow • Present value • Decision theory • Waiting-line analysis • Simulation

  23. Amount ($) Total cost = VC + FC Total variable cost (VC) Fixed cost (FC) 0 Q (volume in units) Cost–Volume Relationships

  24. Total revenue Amount ($) 0 Q (volume in units) Cost–Volume Relationships

  25. Profit Total revenue Amount ($) Total cost 0 BEP units Q (volume in units) Cost–Volume Relationships

  26. Break-Even Problem with Step Fixed Costs FC + VC = TC FC + VC = TC 3 machines FC + VC = TC 2 machines 1 machine Quantity Step fixed costs and variable costs

  27. $ BEP 3 TC BEP 2 TC 3 TC 2 TR 1 Quantity Multiple break-even points Break-Even Problem with Step Fixed Costs

  28. Assumptions of Cost–Volume Analysis • One product is involved • Everything produced can be sold • Variable cost per unit is the same regardless of volume • Fixed costs do not change with volume • Revenue per unit is constant with volume • Revenue per unit exceeds variable cost per unit

  29. Financial Analysis • Cash Flow: the difference between cash received from sales and other sources, and cash outflow for labor, material, overhead, and taxes. • Present Value: the sum, in current value, of all future cash flows of an investment proposal.

  30. Decision Theory • Helpful tool for financial comparison of alternatives under conditions of risk or uncertainty • Suited to capacity decisions

More Related