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CHAPTER 3 : AGGREGATE PLANNING MOHD HAFIZUL BIN TUKIMINMOHD SYAFIQ BIN MANSORMOHD RUBA’I AMIR BIN SALLEHCHE MUHD FIRDAUS BIN CHE MAT
OUTLINE
3.1 Introduction3.2 Aggregate Planning Option
Demand Capacity
3.3 Aggregate Unit of Production3.4 Technique of Aggregate Planning
Linear programming : Transportation Method Spreadsheet ApproachDisaggregation
3.1 Introduction
Aggregate planning
Operational activity that does an aggregate plan for the production process in advance of 2 to 18 months.
Give an idea to management as to what quantity of materials and other resources are to be procured and when.
To keep the total cost of operations of the organization to the minimum over that period.
3.1.1Goal of aggregate planning
• Determine the quantity and timing of production for the immediate future.
• To achieve a production plan which will effectively utilize the organization’s resources to satisfy expected demand
3.1.2 Why Aggregate planning
3.1.2.1 Objectives of Aggregate Planning:
– Minimize total cost over the planning horizon.
– Maximize customer service
– Minimize inventory investment
– Minimize changes in workforce levels
– Minimize changes in production rates
– Maximize utilization of plant and equipment
3.2 Aggregate Planning Option
Capacity - total number of units per time period that can be produced
Demand - total number of units needed
If capacity and demand are not balance, must decide whether: - To increase or decrease capacity to meet demand
or;- Decrease demand to meet capacity
Capacity Options – change capacity
• Varying workforce size by hiring or lay offs
• Varying production capacity through overtime
• Subcontracting• Using part-time workers• Changing inventory levels
Demand Options – change demand
• Pricing and promotion• Back ordering• New demand creation
3.2.1 Capacity Options
Varying workforce size by hiring or lay offs•Hiring additional workers as needed •Laying off workers not currently required to meet demand•Match production rate to demand•New workers may have lower productivity•Laying off workers may lower morale and productivity
Varying production capacity through
overtime
•Allows constant workforce•Can create temporary increase in capacity without to added expense of hiring additional worker•May be difficult to meet large increases in demand•Overtime can be costly and may drive down productivity
Cont……Capacity Options
Subcontracting•The amount of capacity or product contacted to subcontractors•Temporary measure during periods of peak demand•May be costly•Assuring quality and timely delivery may be difficult•Exposes your customers to a possible competitor
Using part-time workers
•Utilizing temporary worker / casual labor •Useful for filling unskilled or low skilled positions, especially in services
Cont…..Capacity Options
Changing inventory levels • Increase inventory in low demand periods to meet high demand in the future
Backlog• The part of the demand that is not satisfied in
the intended period and is carried forward to the next periods as promised delivery
3.2.2 Demand Options
•Varying pricing to increase demand in periods when demand is less than peak•Advertising, direct marketing, and other forms of promotion are used to shift demand.
Pricing and promotion
•Postponing delivery on current orders demands is shifted to period when capacity is not fully utilized•Requires customers to wait for an order without loss of goodwill or the order
Back ordering
•Develop a product mix of counter seasonal items•May lead to products or services outside the company’s areas of expertise
Counter seasonal product and service
mixing
Option Advantages DisadvantagesVarying workforce size by hiring or layoffs
Avoids the costs of other alternatives.
Hiring, layoff, and training costs may be significant.
Varying production rates through overtime
Matches seasonal fluctuations without hiring/ training costs.
Overtime premiums; tired workers; may not meet demand.
Sub-contracting Permits flexibility and smoothing of the firm’s output.
Loss of quality control; reduced profits; loss of future business.
Using part-time workers
Is less costly and more flexible than full-time workers.
High turnover/ training costs; quality suffers; scheduling difficult.
Changing inventory levels
Changes in human resources are gradual or none; no abrupt production changes.
Inventory holding cost may increase. Shortages may result in lost sales.
Option Advantages DisadvantagesPromotion and advertising
Tries to use excess capacity. Discounts draw new customers.
Uncertainty in demand. Hard to match demand to supply exactly.
Back ordering during high-demand periods
May avoid overtime. Keeps capacity constant.
Customer must be willing to wait, but goodwill is lost.
Counter seasonal product and service mixing
Fully utilizes resources; allows stable workforce.
May require skills or equipment outside the firm’s areas of expertise.
3.4 Aggregate Units of Production
The method is based on notion of aggregate units. They may be actual units of production
• Weight (tons of steel)• Volume (gallons of gasoline)• Dollars (Value of sales)• Fictitious aggregate units
3.4.1 Example of fictitious aggregate units:
A plant manager working for a large national appliance firm is considering implementing an aggregate planning system to determine the workforce and production levels in his plant. This particular plant produces 6 models of TVs. The characteristics of the TVs are:
Model # Number of Worker - Hours Required to produce 1 4.2 $285 2 4.9 $345 3 5.1 $395 4 5.2 $425 5 5.4 $525 6 5.8 $725
Selling Price
The manager notices that the percentages of the total number of sales for these six models have been fairly constant:
Model # % of the total numbers of sales 1 32% 2 21% 3 17% 4 14% 5 10% 6 6%
To find the particular aggregation scheme
(1) Selling price / Number of worker-hours required = $ per Input-Hour
Model # $/hr 1 $285/4.2 = $67.86 2 $345/4.9 = $70.41 3 $395/5.1 = $77.45 4 $425/5.2 = $81.73 5 $525/5.4 = $97.22 6 $725/5.8 = $125.00
then
what is $78.34? “Average dollars of output / worker-hour input”
in this particular production plant
Model # $/hr * % of Sales 1 $67.86* 0.32 = $21.72 2 $70.41* 0.21 = $14.79 3 $77.45* 0.17 = $13.17 4 $81.73* 0.14 = $11.44 5 $97.22* 0.10 = $9.72 6 $125.00* 0.06 = $7.50
34.78$
(2) The manager decides to define an aggregate unit of production as a fictitious TV
what is 4.86 hours? “ Average worker-hours required to produce a fictitious
TV”
Model # Number of worker-Hours Required 1 4.2*0.32 = 1.34 2 4.9*0.21 = 1.03 3 5.1*0.17 = 0.87 4 5.2*0.14 = 0.73 5 5.4*0.10 = 0.54 6 5.8*0.06 = 0.35
86.4$
What if we like to know
“ how many fictitious TV can one worker – one day (8hrs) produce ? ”
[ 1 / 4.86 ] x 8 = 1.646
• Applications of this Avg. worker-hours/ TV :~ If the manager can obtain sales forecast of overall models,
then he can use this to plan workforce ~
3.4 Technique of Aggregate Planning:
3.4.1 Spreadsheet Approach3.4.2 Linear Programming3.4.3 Disaggregation
Basic RelationshipsWorkforce
Number of workers in a period =
Number of workers at end of previous period +
Number of new workers at start of the period -
Number of laid off workers at start of the period
Inventory
Inventory at the end of a period =
Inventory at end of the previous period +
Production in current period -
Amount used to satisfy demand in current period
Cost
Cost for a period =
Output Cost (Reg+OT+Sub) +
Hire/Lay Off Cost + Inventory Cost +
Back-order Cost
Quarter Sales Forecast (lb)
April 90,000
May 80,000
June 150,000
July 100,000
The Power Star Company makes a variety of cookies . Given the following costs and monthly sales forecasts, formulate a plan that minimizes cost. They have an inventory from March of 5000 lb of cookies. Find the total cost of the production.
Hiring cost = $300 per worker Firing cost = $850 per worker Inventory carrying cost = $1.50 per pound per quarter Production per employee = 1,000 pounds per quarterBeginning work force = 95 workers
Example spreadsheet
Solution 3
Example of Spreadsheet Method
• There are 15 workers and each can produce 20 skateboards per period.• Assume a level of output rate of 300 units.• Find the total cost for this plan?
Period 1 2 3 4 5 6 Total
Forecast 200 200 300 400 500 200 1800
Policy:Level Output Rate of 300 per period
Output CostRegular 300 300 300 300 300 300 1800 $2
Overtime $3 Subcontract $6
Output-Forecast 100 100 0 -100 -200 100 0 Inventory
Beginning 0 100 200 200 100 0 Ending 100 200 200 100 0 0
Average 50 150 200 150 50 0 600 $1 Backlog 0 0 0 0 100 0 100 $5 Costs
Regular $600 $600 $600 $600 $600 $600 $3,600
Inventory $50 $150 $200 $150 $50 $0 $600
Back Orders $0 $0 $0 $0 $500 $0 $500
Total Cost of Plan $650 $750 $800 $750 $1,150 $600 $4,700
Technique 3: Simulation ExampleLevel Output
Description1. Carrying costs are $2/tire/month. If goods are made in one
period and held over to the next, holding costs are incurred2. Supply must equal demand, so a dummy column called
“unused capacity” is added3. Because back ordering is not viable in this example, cells that
might be used to satisfy earlier demand are not available.4. Quantities in each column designate the levels of inventory
needed to meet demand requirements5. In general, production should be allocated to the lowest cost
cell available without exceeding unused capacity in the row or demand in the column
A Dover, Delaware, plant has developed the accompanying supply, demand cost , and inventory data. The firm has a constant workforce and meets all its demand. Allocate production capacity to satisfy demand at a minimum cost. What is the cost of this plan?
Supply capacity available (units) Demand forecast
Other data :Initial inventory 50 unitsRegular- time cost per unit $50Over time cost per unit $65Subcontract cost per unit $80Carrying cost per unit per period $1Back order cost per unit per period $4
Period
Regular time Overtime Subcontract
1 300 50 200
2 400 50 200
3 450 50 200
Period Demand (units)
1 4502 5503 750
35
3.4.3 Disaggregation• Aggregate plans were built to optimal staffing levels
for “families” or groups of products• Disaggregation is a means to build specific “Master
Production Schedules”• Typically by breaking down the aggregating weights
to individual parts – or working on schedules of these families as optimal
• Later leads to values similar to Economic Order Quantity(EOQ)which will explore in Chapter 4!