Chapter4 Flashcards
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Planning the Product Portfolio
Objective: Distribute available capacity among production lines I, II, and III.
Revenue per Unit:
- Line I: 20
- Line II: 6
- Line III: 8
Resources and Constraints:
- Mill: 200 h/week
- Turnery: 100 h/week
- Grindery: 50 h/week
Technology Matrix:
- Mill: [8, 2, 3]
- Turnery: [2, 3, 0]
- Grindery: [2, 0, 1]
Goal: Optimise resource distribution.
Product Portfolio Planning: Linear Program
Objective: Maximise revenue with linear programming.
Formula:
Maximise 20x1 + 6x2 + 8x3
Constraints:
- 8x1 + 2x2 + 3x3 ≤ 200
- 2x1 + 3x2 ≤ 100
- 2x1 + x3 ≤ 50
- x1, x2, x3 ≥ 0
Covering Problems
Definition: Problems aimed at meeting requirements with minimal resources, not maximising revenue.
Steps:
- Identify workload
- Define shifts within legal contracts
- Calculate required workers to minimise costs
Example of Covering Problem
Objective: Cover demand per time period at minimal cost.
Demand per Time Period:
- 000–0600: 2 workers
- 0600–1000: 8 workers
- 1000–1200: 4 workers
- 1200–1600: 3 workers
- 1600–1800: 6 workers
- 1800–2200: 5 workers
- 2200–2400: 3 workers
Shifts:
- 4h work, 1h break, 4h work
- Possible start times: every hour
Dynamic Optimisation Problems
Definition: Time-sequenced decision-making process.
Formulation:
- Use state variables (st) and decision variables (xt)
- Example: stock management - end stock = start stock + production - demand
Multi-period Investment Planning
Example: Investment options over multiple time periods with cash flow constraints.
Investments:
- Construction South: costs/gains per period
- Building Complex
- Hotel
Constraints: Ensure cash balance every period with borrowing and saving options.
Network Optimisation: Transportation Problem
Objective: Minimise transport costs across a network.
Formulation:
Minimise x1 + 3x2 + 2x3 +…
Constraints: Flow balance at nodes - example: A: x1 + x3 = 9
Bill of Materials (BOM)
Definition: List of required inputs for each product.
Structure:
- Example matrix format with products (Pi) and materials (Pj)
Input-Output Models
Goal: Determine total production demand based on primary demand.
Equation:
x = (I - A)-1 v
Application: Calculate total required units per product.