User centric constraint-handling in BlendOpt
Allowing fine control over constraint feasibility for practical scheduling and plans
Introduction
What is a soft or hard-constraint in mathematical optimisation?
The limitations of binary constraints
Constraint handling in BlendOpt value-chain optimisation
Practical schedules from collaborative search and constraint handling
Would you like to know more?
Do you optimize product placement into the market?
Do you know when Demurrage adds value (can you spot “value justified” demurrage)?
Do you know in what situations your stockpile quality models increase contract rejection risk?
Does your planning software require stable operations, predictable markets, consistent orebodies?
Can you run scenarios to understand your options?
Does your tactical scheduling software automatically synchronize with your longer term planning tools?
Do your schedules reflect conditions on the ground?
Are your schedules tossed in the bin on day 1?