Capacity Planning • Contents • • • • Capacity and capacity decision Measurement of capacity Determining capacity requirements Development and evaluation of capacity alternatives Capacity and capacity decision • Capacity • The upper limit or ceiling on the load that an operating unit can handle. Operating unit: Plant, department, machine, store or worker Load: Inputs or outputs • Capacity is an important information for planning purpose. • Quantify production capacity for decision making • Questions to be asked • What kind of capacity is needed? • How much is needed? • When it is needed? Capacity and capacity decision (Cont.) • Importance of capacity decisions • Most fundamental of all the design decisions • Potential impact on the ability of the organization to meet future demands for products and services: limiting factor • Relation between capacity and operating cost: try to match capacity and demand requirements to minimize operating cost • Initial cost : capacity is a major components • Long term commitment of resources: modification costs Defining and Measuring Capacity • Capacity • Upper limit on the rate of output. • Easy to define but difficult to measure • Select a measure which does not require updating • When multiple products or services- select wisely • State capacity in terms of each product • If product mix is changed frequently- measure in terms of availability of inputs • measure of capacity must be tailored to the situation Defining and Measuring Capacity (Cont.) Commonly used measures of Capacity Business Inputs Outputs Auto Manufacturing Labor hours, Machine hours Number of cars per shift Steel Mill Furnace size Tons of steel per day Oil Refinery Refinery size Gallons of fuel per day Farming Number of acres, Number of cows Bushels of grains per acre per year, Gallons of milk per day Restaurant Number of tables, Seating capacity Number of meals served per day Theater Number of seats Number of tickets sold per performance Retail Sales Square feet of floor space Revenue generated per day Defining and Measuring Capacity (Cont.) • Types of measure of Capacity • Design capacity: the maximum output that can possibly be attained • Effective capacity: the maximum possible output given in a product mix, scheduling difficulties, machine maintenance, quality factors and so on. • Actual output: the rate of output actually achieved. • Cannot exceed effective capacity ( due to breakdowns, defective outputs, shortage of materials etc.) • Design capacity > effective capacity > actual output • These measures of capacity help to measure system’s efficiency and utilization Defining and Measuring Capacity (Cont.) • Efficiency • πΈπππππππππ¦ = • Utilization • ππ‘ππππ§ππ‘πππ = • Example π΄πππ’ππ ππ’π‘ππ’π‘ πΈπππππ‘ππ£π ππππππππ‘π¦ π΄ππ‘π’ππ ππ’π‘ππ’π‘ π·ππ ππ πππππππ‘π¦ • Given the information below, compute the efficiency and utilization vehicle repair department: • Design capacity = 50 trucks per day • Effective capacity: 40 trucks per day • Actual output: 36 trucks per day • Key to improving capacity utilization is to increase effective capacity. Determinants of Effective Capacity • Many decisions made concerning system design have impact on capacity • Main factors are • • • • • • Facilities factors Products or services Processes Human considerations Operations External factors Determinants of Effective Capacity (cont.) Factors determining effective capacity Facilities Design Location Layout Environment Product/service Design Product or service mix Process Quantity capabilities Quality capabilities Human factors Job content Job design Timing and experience Motivation Operational Scheduling Materials management Quality assurance Equipment breakdown External factors Product standards Safety requirements Unions Pollution control standards Compensation Learning rates Absenteeism and labor turnover Determinants of Effective Capacity (cont.) • Facilities • Design of facilities: size, expansion flexibility • Locational factors: transportation costs, distance to market, labor supply, energy resources etc. • Layout of work area • Environmental factors: lightening, ventilation etc. • Product/service • Product/ service design has tremendous influence on capacity • The more uniform the output, the more opportunities there are for standardization of methods and materials, which leads to greater capacity. • Process • Output quality influences the output quantity capacity Determinants of Effective Capacity (cont.) • Human considerations • Tasks, varieties of activities, training, skill, experience required to perform a job, employee’s motivation affect potential and actual output. • Operation • Scheduling problems; inventory stocking decision, late deliveries, acceptability of purchased materials and parts, quality inspection and control procedures affect effective capacity. • External factors • Product standards, pollution standards, union contract • Inadequate planning is the major determinant of effective capacity Determinants of Effective Capacity (cont.) • Long term considerations: overall level of capacity; facility size • Short term considerations: probable variations incapacity; seasonal, random and irregular fluctuations in demand • Long term capacity: forecasting a demand over a time horizon and then converting those forecasts into capacity requirements • If trend is identified then • How long the trend might persist? Slope of the trend • If cycles are identified then • The approximate length of the cycles average) The amplitude of the cycles (deviation from Determining Capacity Requirements (Cont.) • Short-term • Least concerned with cycles and trends • Concerns with seasonal variations and variations from average • Place severe strain on system’s ability to satisfy demand at some particular time and yet result in idle capacity at other times • Seasonal patterns can be identified using standard forecasting techniques • Monthly, weekly, daily capacity requirements Determining Capacity Requirements (Cont.) Examples of seasonal demand patterns Period Items Year Toy sales, Air traffic, clothing, vacations, tourism, power usage, gasoline consumption, etc. Month Bank transactions, utilities bills etc. Week Retail sales, restaurant meals, automobile traffic, automotive rentals, hotel registrations, etc. Day Telephone calls, public transportation, class room utilization, retail sales etc. Determining Capacity Requirements (Cont.) • When time intervals are too short to have seasonal variations in demand, the analysis can often describe variations in probability distributions i.e. normal, uniform or Poisson distribution. • Normal distribution (mean & standard deviation): amount of tea served during the midday meal • Poisson distribution (certain mean): number of customers who entered the bank branch on Monday mornings • Not every instance of variability will be described by a standard statistical distribution (considerable variability in capacity requirement in service sector can be optimized by scheduled request for service. • Irregular variations are impossible to predict • Customer contracts, demographic analysis and marking forecasts can help to determining long-term and short-term capacity measurements. Developing Capacity Alternatives • Considerations relevant to capacity alternatives are: • Design flexibility into system : expansion • Take a “big picture” approach to capacity changes: how parts of the system interrelate • Prepare to deal with capacity “chunks”: capacity increment and over and under utilization • Attempt to smooth out capacity requirements: unevenness in seasonal and unpredictable demands; identify processes or services that have complementary demand pattern. • Identify the optimal operating level: overtime work, subcontract some of the work, manage finished goods inventories Developing Capacity Alternatives (Cont.) Production units have an optimal rate of output for minimum cost Minimum cost and optimal operating rate are functions of size of a production unit Evaluating Alternatives • Alternatives for future capacity may have different prospective: • • • • • • • And Will an alternative be economically feasible? How much it will cost? How soon can we have it? What will be operating and maintenance cost would be? What will its useful life be? Will it be compatible with personnel and present operations? Etc. • Negative public opinion • • • • Disrupt life and property, Retraining of personnel Terminating personnel Unwelcome behavior of community (noise, traffic, pollution) • Techniques to evaluate capacity alternatives • • • • Cost-volume analysis, Financial analysis Decision theory Waiting-line analysis Evaluating Alternatives (Cont.) • Calculating processing requirements • Capacity requirements of products that will be processed with a given alternative should be known • Mus have • • • • reasonably accurate demand forecast for each product Standard processing time per unit for each product on each alternative machine Number of work days per year Number of shifts that will be used Evaluating Alternatives (Cont.) • A department works one 8-hour shift, 250 days a year and has these figures for usage of a machine that is currently being considered Product Annual demand Standard processing time per unit (hr.) Processing time needed (hr.) 1 400 5.0 2000 2 300 8.0 2400 3 700 2.0 1400 5800 • Working hours per year per machine = 8x250 = 2000 hours per machine • No. of machines = 5800 hours/2000 hours per machine = 2.90 • 3 machines are required to fulfil the order Evaluating Alternatives (Cont.) • Cost – volume analysis • Used to estimate the income of an organization under different operating conditions. • Relationships between cost, revenue, and volume of output • Costs related to production • Fixed cost: remains constant regardless of volume of output (rental cost, property taxes, equipment cost, certain administrative costs etc.) • Variable cost: varies directly with volume of output (material and labor cost) – usually variable cost/unit remains constant regardless of volume of output Evaluating Alternatives (Cont.) • Cost-volume symbols Symbol Terminology FC Fixed cost VC Variable cost per unit TC Total cost TR Total revenue R Revenue per unit Q Quantity or volume of output QBEP Break-even quantity P Profit SP Specified profit Evaluating Alternatives (Cont.) Evaluating Alternatives (Cont.) • Relationships used in cost-volume estimation • Total cost (associated with a given volume of output) • TC = FC + VC x Q • Revenue per unit remains the same like variable cost per unit • TR = R x Q • Break-even point: the volume of output at which total costs and total revenue are equal • Profit if Q > QBEP • Loss if Q < QBEP • P = TR – TC =R x Q – (FC + VC x Q) • Volume required to generate a specific profit • Volume = (SP + FC) / (R – VC) • QBEP = FC / (R – VC) Evaluating Alternatives (Cont.) • Example • The owner of a pizza shop is contemplating adding a new additional setup for pizza in the shop, which will require leasing new equipment for a monthly payment of Rs 60000. Variable cost would be Rs 200 per pizza and pizzas would retail for Rs 700 each. • How many pizzas must be sold in order to break-even? • What would be the profit/loss be if 1000 pizza are made and sold in a month? • How many pizzas must be sold to realize a profit of Rs. 40000? Evaluating Alternatives (Cont.) • Capacity alternatives may involve step costs • Costs that increase stepwise as operational volume increases. • Multiple break even quantity may occur for each range or a range may miss a break even quantity. • Must consider projected annual demand/volume relative to the multiple break even points and choose the most appropriate number of machines/units etc. Evaluating Alternatives (Cont.) • Example • A manager has the option of purchasing one, two or three machines. Fixed costs and potential volume are as follows: No. of machines Total annual fixed costs Corresponding range of outputs 1 $ 9600 0 - 300 2 15000 301 – 600 3 20000 601 - 900 • Variable cost is $10 per unit and revenue is $40 per unit. • Determine the break even point for each range • If the projected annual demand is between 580 to 660 units, how many machines should the manager purchase? • Example • A manufacturing plant and equipment cost $150 million and are estimated to have a lifetime of 25 years. Straight-line depreciation is to be used. Additional fixed costs per year are $4 million. Variable costs are $1.25 and price is set at $3.25. State annual profit when annual volume, in million units, is (a) 10, (b) 2.5, (c) 5 and (d) 8. • What is the breakeven volume in millions of units for each level of demand?