decision theory chapter 5 supplement june 26, 2012
TRANSCRIPT
Productivity (chpt 2: 53-59
• Definition• P = output/input– Work produced/ (labor hours, # of workers, etc.)– Problem 2, page 62
Week Crew Size Yds installed Labor Productivity
1 4 96
2 3 72
3 4 92
4 2 50
5 3 69
6 2 52
Week Crew Size Yds installed Labor Productivity
1 4 96 24 yds
2 3 72 24
3 4 92 23
4 2 50 25
5 3 69 23
6 2 52 26
Multifactor productivity• (Quantity of production)/
(multiple inputs, e.g., labor cost + materials costs + overhead)
• Problem 3, p 62
Week Output (in units) Workers Material (lbs)
1 30,000 6 450
2 33,600 7 470
3 32,200 7 460
4 35,400 8 480
Labor costs
• Week 1– 6 X $12 X 40 hrs = $2,880
• Week 2– 7 X $12 X 40 hrs = $3,360
• Week 3– 7 X $12 X 40 hrs = $3,360
• Week 4– 8 X $12 X 40 hrs = $3,840
• TOTAL LABOR COSTS= $13,440
Overhead costs
• Week 1– 1.5 X $2,880 = $4,320
• Week 2– 1.5 X $3,360 = $5,040
• Week 3– 1.5 X $3,360 = $5,040
• Week 4– 1.5 X $3,840 = $5,760
• TOTAL OVERHEAD COSTS = $20,160
Material costs
• Week 1 – $6 X 450 = $2,700
• Week 2– $6 X 470 = $2,820
• Week 3– $6 X 460 = $2,760
• Week 4– $6 X 480 = $2,880
• TOTAL MATERIAL COSTS = $11,160
Week Output (in units)
Labor costs
Overhead costs
Material costs
Total costs
1 30,000
2 33,600
3 32,200
4 35,400
Week Output (in units)
Labor costs
Overhead costs
Material costs
Total costs
1 30,000 $2,880 $4,320 $2,700 $9,900
2 33,600 $3,360 $5,040 $2,820 $11,240
3 32,200 $3,360 $5,040 $2,760 $11,160
4 35,400 $3,840 $5,760 $2,880 $12,480
Week Output (in units)
Labor costs
Overhead costs
Material costs
Total costs
MFP $ productivity
1 30,000 $2,880 $4,320 $2,700 $9,900
2 33,600 $3,360 $5,040 $2,820 $11,240
3 32,200 $3,360 $5,040 $2,760 $11,160
4 35,400 $3,840 $5,760 $2,880 $12,480
Week Output (in units)
Labor costs
Overhead costs
Material costs
Total costs
MFP $ productivity
1 30,000 $2,880 $4,320 $2,700 $9,900 3.03
2 33,600 $3,360 $5,040 $2,820 $11,240 2.99
3 32,200 $3,360 $5,040 $2,760 $11,160 2.89
4 35,400 $3,840 $5,760 $2,880 $12,480 2.84
Week Output (in units)
Labor costs
Overhead costs
Material costs
Total costs
MFP $ productivity
1 30,000 $2,880 $4,320 $2,700 $9,900 3.03 $424.20
2 33,600 $3,360 $5,040 $2,820 $11,240 2.99 $418.60
3 32,200 $3,360 $5,040 $2,760 $11,160 2.89 $404.60
4 35,400 $3,840 $5,760 $2,880 $12,480 2.84 $397.60
RPG• Problem 6, p. 62• Current week – 160 units/40 hrs– Current productivity: 4 units/hr
• Previous week– 138 units/ 36 hrs– Previous productivity: 3.83 units/hr
• RGP– (4 units/hr – 3.83 units/hr) / 3.83 units/hr) = .044
– 4.4%
What is decision theory?
• Definition– Payoff table (certainty)– P. 159
POSSIBLE FUTURE DEMAND
Alternatives Low Moderate High
Small facility $10 $10 $10
Medium facility 7 12 12
Large facility (4) 2 16
What is decision theory?
• Basic concepts– Certainty vs uncertainty– Utility values• Ex: 1,000 units sold = utility of 1,000
– Or 50,000 (arbitrary decision)
– Expected utility• Probability X utility
Expected utility example
• Outcome 1: Utility = 100, probability = 75%• Outcome 2: Utility = -40, probability = 25%• Expected utility =
100 X .75 = 75 -40 X .25 = -10 75 + (-10) = 65
Decision making under uncertainty
• 4 possible decision criteria– Maximin• Best “worst” payoff
– Maximax• Best possible payoff
– Laplace• Equally lightly
– Minimax regret• Minimize “regret”
Decision making under uncertainty
• Problem 1 (p. 173)
• Maximax – 80, Expand
• Maximin– 50, Do nothing
NEXT YEAR’S DEMAND
Alternatives Low HIGH
Do nothing $50 $60
Expand 20 80
Subcontract 40 70
Decision making under uncertainty
• Problem 1• Laplace
– Now we have problem!
NEXT YEAR’S DEMAND
Alternatives Low HIGH
Do nothing $50 $60
Expand 20 80
Subcontract 40 70($20+$80)/2 = $50
($50+$60)/2 = $55
($40+$70)/2 = $55
Decision making under uncertainty
• Problem 1• Minimax regrets (opportunity losses)
NEXT YEAR’S DEMAND
Alternatives Low HIGH
Do nothing $50 $60
Expand 20 80
Subcontract 40 70
Decision making under uncertainty
• Problem 1• Minimax regrets
– subcontract
NEXT YEAR’S DEMAND
Alternatives Low HIGH WORST
Do nothing $50 - $50 = 0 $80 – 60 = 20 $20
Expand 50 – 20 = 30 80 – 80 = 0 30
Subcontract 50 – 40 = 10 80 – 70 = 10 10
Decision making under risk
• Problem 2(a)• EMV (expected profit)
• EMV(Do nothing): 50(.3) + 60(.7) = $57• EMV(Expand): 20(.3) + 80(.7) = $62• EMV(Subcontract): 40(.3) + 70(.7) = $61
NEXT YEAR’S DEMAND
Alternatives Low P(.30) HIGH P(.70)
Do nothing $50 $60
Expand 20 80
Subcontract 40 70
Decision making under risk• Problem 2(c)• Expected value of perfect information (EVPI)
• Expected payoff under certainty (EPC)– 50(.3) + 80(.7) = 71
• Expected payoff under risk – PR (EMV – Expand) = 62
• EVPI = 71 – 62 = 9
NEXT YEAR’S DEMANDAlternatives Low P(.30) HIGH P(.70)Do nothing $50 $60Expand 20 80Subcontract 40 70
So what do we conclude?
• Subcontract– Small demand: (0.4) * (1.0) = 0.4– Medium demand: (0.5) * (1.3) = 0.65– Large demand: (0.1) * (1.8) = 0.18–Total expected payoff: 0.4 + 0.65 + 0.18 = 1.23
So what do we conclude?
• Expand– Small demand: (0.4) * (1.5) = 0.6– Medium demand: (0.5) * (1.6) = 0.8– Large demand: (0.1) * (1.7) = 0.17–Total expected payoff: 0.6 + 0.8 + 0.17 = 1.57
So what do we conclude?
• Build– Small demand: (0.4) * (1.4) = 0.56– Medium demand: (0.5) * (1.1) = 0.55– Large demand: (0.1) * (2.4) = 0.24–Total expected payoff: 0.56 + 0.55 + 0.24 = 1.35
So what do we conclude?
• Subcontract–Total expected payoff: 0.4 + 0.65 + 0.18 = 1.23
• Expand–Total expected payoff: 0.6 + 0.8 + 0.17 = 1.57
• Build–Total expected payoff: 0.56 + 0.55 + 0.24 = 1.35
1
Build small
Build large
2
Lease
Expand
Demand low (.50)
Demand high (.50)
$700
$100
$500
$40
$2,000
Demand low (.50)
Demand high (.50)
Alternatives
• Maximin - best “worst”– Small: $500k– Large: $40K
• Maximax – best possible– Large: $2,000k
1
Build small
Build large
2
Lease
Expand
Demand low (.50)
Demand high (.50)
$700
$100
$500
$40
$2,000
Demand low (.50)
Demand high (.50)