Why SCY?
A need for better supply chain decision making solutions. Our expertise spans all aspects of supply chains and our portfolio includes projects for some of the world’s largest organisations.
Optimizing network performance
Our Goal
SCY Technology Platform
Address global, full scale supply chain problems
Respond rapidly to business challenges
Enable dynamic & boundary less planning
Improvement in cost, service level & inventory
Manage risk & business cycles build supply chain agility
Our edge in Solution Technology
Specific Solution Approaches
Supply Chain Network Design
MILP Optimization
Demand Planning
Statistical Algorithms
Distribution Planning
Linear Optimization & Heuristics
Dispatch Planning
Combinatorial Optimization & Heuristics
Inventory Optimization
Stochastic Algorithms
Production Planning & Scheduling
MILP Optimization & Heuristics
Container Load Optimization
Combinatorial Optimization
Supply Chain Planning
Linear Optimization & Heuristics
Efficacy
Consider all dimensions of the problem, self learning solvers.
Speed
Solve large & complex problems in minutes
Agility
Perform rapid “what-if scenarios”, fine tune business rules, perform “anchored planning”
Dimensions of a Supply Chain Planning Problem Examples
Size & Scale
No of demand points, SKUs, mfg plants, DCs, etc.
Time Horizon
No of time buckets being planned into the future
Complexity
Tiers of supply chain, capacity constraints, shared resources
Business Rules
Shelf life, lot sizes, attribute based planning, etc.
Real time
Open orders, stock levels, in-transits, etc.
Sample Solver Run Statistics
4
# of Supply Chain Tiers
48
# of Mfg Plants
5
# of Stages of Capacity
93
# of DCs
130
# of Resource-Lines
124,333
# of SKU-Locations
60
# of Time Buckets
5,856,000
# of Demands
T2.2XL on AWS
Shelf Life, Lot Size, Multi-modal Lead TimesMachine
6 min 29 sec
Run Time