Capacity Planning For Products and Services

1. 5 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. Capacity Planning • 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. Capacity • Design capacity • … • Effective capacity • … • Actual output • …

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

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

12. Calculating Processing Requirements If annual capacity is 2000 hours, then how many machines do we need to handle the required volume of …. ?

13. 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

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

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

16. Bottleneck Operation 10/hr Machine #1 10/hr Bottleneck Operation 30/hr Machine #3 10/hr Machine #4 10/hr Figure 5.2 Bottleneck operation: An operationin a sequence of operations whosecapacity is lower than that of theother operations Machine #2

17. Bottleneck Operation Which operation is the Bottleneck operation? Operation 120/hr. Operation 210/hr. Operation 315/hr. ? Maximum output ratelimited by bottleneck

18. 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

19. Optimal Rate of Output Average cost per unit Minimum cost 0 Rate of output Figure 5.4 Production units have an optimal rate of output for minimal cost. Minimum average cost per unit

20. Economies of Scale Figure 5.5 Minimum cost & optimal operating rate are functions of size of production unit. Small plant Average cost per unit Medium plant Large plant 0 Output rate

21. Evaluating Alternatives • Cost-volume analysis • Break-even point • Financial analysis • Cash flow • Present value • Decision theory • Waiting-line analysis

22. Cost-Volume Relationships Amount ($) Total cost = VC + FC Total variable cost (VC) Fixed cost (FC) 0 Q (volume in units) Figure 5.6a

23. Cost-Volume Relationships Total revenue Amount ($) 0 Q (volume in units) Figure 5.6b

24. Cost-Volume Relationships Profit Total revenue Amount ($) Total cost 0 BEP units Q (volume in units) Figure 5.6c

25. 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. Figure 5.7a

26. Break-Even Problem with Step Fixed Costs $ BEP 3 FC3 BEP 2 FC2 3 FC1 2 TP 1 Quantity Multiple break-even points Figure 5.7b TP = (P – VC) Q

27. 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 constant with volume • Revenue per unit exceeds variable cost per unit

28. 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.

29. Waiting-Line Analysis • Useful for designing or modifying service systems • Waiting-lines occur across a wide variety of service systems • Waiting-lines are caused by bottlenecks in the process • Helps managers plan capacity level that will be cost-effective by balancing the cost of having customers wait in line with the cost of additional capacity