Mathematics
Data - Exhibit 1
| Student | Commercial | Industrial | ||||
| Product completion cost | $100,000 | $200,000 | $500,000 | |||
| Variable cost/unit | $15 | $25 | $35 | |||
| Market Segment | Size | Segment Dev. Cost | WTP/unit | |||
| Large, multidivisional Corporations | 5,000 | $150,000 | $150 | $1,200 | $2,500 | |
| Corporate R&D and university labs | 2,000 | $100,000 | $100 | $1,000 | $2,000 | |
| Consultants and professional Co | 20,000 | $200,000 | $200 | $300 | $600 | |
| Small businesses | 15,000 | $200,000 | $175 | $225 | $300 | |
| Students | 500,000 | $300,000 | $50 | $60 | $100 | |
Student
| Solver Optimization Formulation | |||||
| Student | |||||
| Product completion cost | $100,000 | ||||
| Variable cost/unit | $15 | ||||
| Market Segment | Size | Segment Dev. Cost | WTP/unit | ak | |
| Large, multidivisional Corporations | 5,000 | $150,000 | $150 | 100% | |
| Corporate R&D and university labs | 2,000 | $100,000 | $100 | 100% | |
| Consultants and professional Co | 20,000 | $200,000 | $200 | 100% | |
| Small businesses | 15,000 | $200,000 | $175 | 100% | |
| Students | 500,000 | $300,000 | $50 | 60% | |
| Large Constant: H= | 5000 | ||||
| Decision Variables | |||||
| Price: P = | 0 | ||||
| Product Development: Y= | 0 | ||||
| Xk | Pk | ||||
| Large, multidivisional Corporations | |||||
| Corporate R&D and university labs | |||||
| Consultants and professional Co | |||||
| Small businesses | |||||
| Students | |||||
| Constraints | |||||
| Participation Constraints | |||||
| Wk*Xk-Pk >=0 | P-Pk >=0 | Pk-P+H*(1-Xk) >=0 | |||
| Large, multidivisional Corporations | 0 | 0 | 5000 | ||
| Corporate R&D and university labs | 0 | 0 | 5000 | ||
| Consultants and professional Co | 0 | 0 | 5000 | ||
| Small businesses | 0 | 0 | 5000 | ||
| Students | 0 | 0 | 5000 | ||
| Objective Function | |||||
| Profits | |||||
| Large, multidivisional Corporations | $0 | ||||
| Corporate R&D and university labs | $0 | ||||
| Consultants and professional Co | $0 | ||||
| Small businesses | $0 | ||||
| Students | $0 | ||||
| Product Completion Cost = | $0 | ||||
| Net profits = | $0 |
Commercial
| Solver Optimization Formulation | |||||
| Commercial | |||||
| Product completion cost | $200,000 | ||||
| Variable cost/unit | $25 | ||||
| Market Segment | Size | Segment Dev. Cost | WTP/unit | ak | |
| Large, multidivisional Corporations | 5,000 | $150,000 | $1,200 | 100% | |
| Corporate R&D and university labs | 2,000 | $100,000 | $1,000 | 100% | |
| Consultants and professional Co | 20,000 | $200,000 | $300 | 100% | |
| Small businesses | 15,000 | $200,000 | $225 | 100% | |
| Students | 500,000 | $300,000 | $60 | 60% | |
| Large Constant: H= | 5000 | ||||
| Decision Variables | |||||
| Price: P = | |||||
| Product Development: Y= | |||||
| Xk | Pk | ||||
| Large, multidivisional Corporations | |||||
| Corporate R&D and university labs | |||||
| Consultants and professional Co | |||||
| Small businesses | |||||
| Students | |||||
| Constraints | |||||
| Participation Constraints | |||||
| Wk*Xk-Pk >=0 | P-Pk >=0 | Pk-P+H*(1-Xk) >=0 | |||
| Large, multidivisional Corporations | 0 | 0 | 5000 | ||
| Corporate R&D and university labs | 0 | 0 | 5000 | ||
| Consultants and professional Co | 0 | 0 | 5000 | ||
| Small businesses | 0 | 0 | 5000 | ||
| Students | 0 | 0 | 5000 | ||
| Objective Function | |||||
| Profits | |||||
| Large, multidivisional Corporations | $0 | ||||
| Corporate R&D and university labs | $0 | ||||
| Consultants and professional Co | $0 | ||||
| Small businesses | $0 | ||||
| Students | $0 | ||||
| Product Completion Cost = | $0 | ||||
| Net profits = | $0 |
Industrial
| Solver Optimization Formulation | |||||
| Industrial | |||||
| Product completion cost | $500,000 | ||||
| Variable cost/unit | $35 | ||||
| Market Segment | Size | Segment Dev. Cost | WTP/unit | ak | |
| Large, multidivisional Corporations | 5,000 | $150,000 | $2,500 | 100% | |
| Corporate R&D and university labs | 2,000 | $100,000 | $2,000 | 100% | |
| Consultants and professional Co | 20,000 | $200,000 | $600 | 100% | |
| Small businesses | 15,000 | $200,000 | $300 | 100% | |
| Students | 500,000 | $300,000 | $100 | 60% | |
| Large Constant: H= | 50000 | ||||
| Decision Variables | |||||
| Price: P = | |||||
| Product Development: Y= | |||||
| Xk | Pk | ||||
| Large, multidivisional Corporations | |||||
| Corporate R&D and university labs | |||||
| Consultants and professional Co | |||||
| Small businesses | |||||
| Students | |||||
| Constraints | |||||
| Participation Constraints | |||||
| Wk*Xk-Pk >=0 | P-Pk >=0 | Pk-P+H*(1-Xk) >=0 | |||
| Large, multidivisional Corporations | 0 | 0 | 50000 | ||
| Corporate R&D and university labs | 0 | 0 | 50000 | ||
| Consultants and professional Co | 0 | 0 | 50000 | ||
| Small businesses | 0 | 0 | 50000 | ||
| Students | 0 | 0 | 50000 | ||
| Objective Function | |||||
| Profits | |||||
| Large, multidivisional Corporations | $0 | ||||
| Corporate R&D and university labs | $0 | ||||
| Consultants and professional Co | $0 | ||||
| Small businesses | $0 | ||||
| Students | $0 | ||||
| Product Completion Cost = | $0 | ||||
| Net profits = | $0 |
Multi-Product Solver
| Linear Formulation | |||||||||||
| Data | |||||||||||
| Industrial | Commercial | Student | |||||||||
| Product completion cost: CCi | $500,000 | $200,000 | $100,000 | ||||||||
| Variable cost/unit: ci | $35 | $25 | $15 | ||||||||
| Segment | Size: Mk | Segmnt Dev. Cost: Dk | WTP/unit: Wki | ak | |||||||
| Large, multidivisional Corporations | 5,000 | $150,000 | $2,500 | $1,200 | $150 | 100% | |||||
| Corporate R&D and university labs | 2,000 | $100,000 | $2,000 | $1,000 | $100 | 100% | |||||
| Consultants and professional Co | 20,000 | $200,000 | $600 | $300 | $200 | 100% | |||||
| Small businesses | 15,000 | $200,000 | $300 | $225 | $175 | 100% | |||||
| Students | 500,000 | $300,000 | $100 | $60 | $50 | 60% | |||||
| Max Number of Products (Nmax): | 3 | ||||||||||
| Decision Variables | |||||||||||
| Industrial | Commercial | Student | Objective: Max Profits | $0 | |||||||
| Price: Pi | 0 | 0 | 0 | Sum_i Yi | |||||||
| Development: Yi | 0 | 0 | 0 | 0 | Constraints | ||||||
| Single Price Schedule: Pki >= Pi-H*(1-Xki) | |||||||||||
| Assignment: Xki | Sum_i Xki | Large, multidivisional Corporations | 5000 | 5000 | 5000 | ||||||
| Large, multidivisional Corporations | 0 | 0 | 0 | 0 | Corporate R&D and university labs | 5000 | 5000 | 5000 | |||
| Corporate R&D and university labs | 0 | 0 | 0 | 0 | Consultants and professional Co | 5000 | 5000 | 5000 | |||
| Consultants and professional Co | 0 | 0 | 0 | 0 | Small businesses | 5000 | 5000 | 5000 | |||
| Small businesses | 0 | 0 | 0 | 0 | Students | 5000 | 5000 | 5000 | |||
| Students | 0 | 0 | 0 | 0 | |||||||
| (Sum_k Xki)/5 | 0 | 0 | 0 | Single Price Schedule :Pi >= Pki | |||||||
| Large, multidivisional Corporations | 0 | 0 | 0 | ||||||||
| Auxiliary Variables | Auxiliary Surplus: Ski | Corporate R&D and university labs | 0 | 0 | 0 | ||||||
| Surplus: Sk | Industrial | Commercial | Student | Sum_i Ski | Consultants and professional Co | 0 | 0 | 0 | |||
| Large, multidivisional Corporations | 0 | 0.0 | 0.0 | 0.0 | 0 | Small businesses | 0 | 0 | 0 | ||
| Corporate R&D and university labs | 0 | 0.0 | 0.0 | 0.0 | 0 | Students | 0 | 0 | 0 | ||
| Consultants and professional Co | 0 | 0.0 | 0.0 | 0.0 | 0 | ||||||
| Small businesses | 0 | 0.0 | 0.0 | 0.0 | 0 | Industrial | Commercial | Student | |||
| Students | 0 | 0.0 | 0.0 | 0.0 | 0 | Consumer Surplus: Sk >= Wki* (Sum_i Xki)-Pi | |||||
| Large, multidivisional Corporations | 0 | 0 | 0 | ||||||||
| Auxiliary Price: Pki | Corporate R&D and university labs | 0 | 0 | 0 | |||||||
| Industrial | Commercial | Student | Consultants and professional Co | 0 | 0 | 0 | |||||
| Large, multidivisional Corporations | 0.0 | 0.0 | 0.0 | Small businesses | 0 | 0 | 0 | ||||
| Corporate R&D and university labs | 0.0 | 0.0 | 0.0 | Students | 0 | 0 | 0 | ||||
| Consultants and professional Co | 0.0 | 0.0 | 0.0 | ||||||||
| Small businesses | 0.0 | 0.0 | 0.0 | Single Purchase: Ski = Wki*Xki - Pki | |||||||
| Students | 0.0 | 0.0 | 0.0 | Large, multidivisional Corporations | 0 | 0 | 0 | ||||
| Corporate R&D and university labs | 0 | 0 | 0 | ||||||||
| Parameter: | Consultants and professional Co | 0 | 0 | 0 | |||||||
| Big H | 5000 | Small businesses | 0 | 0 | 0 | ||||||
| Students | 0 | 0 | 0 | ||||||||
| Marginal Surplus: Pki*ak - ci*Xki | |||||||||||
| Industrial | Commercial | Student | Sum_i Zki | Single Purchase: Sk= sum_i Ski | |||||||
| Large, multidivisional Corporations | 0 | 0 | 0 | 0 | Large, multidivisional Corporations | 0 | |||||
| Corporate R&D and university labs | 0 | 0 | 0 | 0 | Corporate R&D and university labs | 0 | |||||
| Consultants and professional Co | 0 | 0 | 0 | 0 | Consultants and professional Co | 0 | |||||
| Small businesses | 0 | 0 | 0 | 0 | Small businesses | 0 | |||||
| Students | 0 | 0 | 0 | 0 | Students | 0 | |||||
Objective: Max [M k ⋅(P
ki ⋅α
k - c
i ⋅X
ki )
k=1
5
∑ i=1
3
∑ −Dk ⋅Xki] − CCi ⋅Yi i=1
3
∑ Subject to −) Segment Dev.: X
ki ≤ Y
i ∀k, i
−) Single price: P i - H⋅(1-X
ki ) ≤ P
ki ≤ P
i ∀k , i
−) Single purchase: X ki
i=1
3
∑ ≤ 1 ∀k −) Consumer surplus: S
ki = W
ki ⋅X
ki - P
ki ∀k , i
S k = S
ki i=1
3
∑ ∀k
S k ≥ W
ki ⋅ X
ki i=1
3
∑ ⎛
⎝⎜ ⎞
⎠⎟ - P
i ∀k , i
-) Max # Product Develop: Y i ≤N
Max i=1
3
∑ −) Non-Negativities and Binary: P
i , P
ki , S
ki , S
k ≥0 and X
ij , Y
j ~ Binary(0,1)
Objective: Max [M
k
×(P
ki
×a
k
- c
i
×X
ki
)
k=1
5
å
i=1
3
å
-D
k
×X
ki
] - CC
i
×Y
i
i=1
3
å
Subject to
-) Segment Dev.: X
ki
£Y
i
"k, i
-) Single price: P
i
- H×(1-X
ki
) ≤ P
ki
≤ P
i
"k , i
-) Single purchase: X
ki
i=1
3
å
£ 1 "k
-) Consumer surplus: S
ki
= W
ki
×X
ki
- P
ki
"k , i
S
k
=S
ki
i=1
3
å
"k
S
k
³ W
ki
×X
ki
i=1
3
å
æ
è
ç
ö
ø
÷
- P
i
"k , i
-) Max # Product Develop: Y
i
≤N
Max
i=1
3
å
-) Non-Negativities and Binary:
P
i
, P
ki
, S
ki
, S
k
≥0 and X
ij
, Y
j
~ Binary(0,1)