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Copy of Supply Chain & Python Programming

Supply Chain
by

Jing Li

on 27 December 2012

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Transcript of Copy of Supply Chain & Python Programming

Defined Matrix of Supply Chain Supply Chain
&
Python Coding Question:
What is Supply Chain? Nodes Links & Features of Nodes: Basic Costs:
Realty,Maintaining,Staff,etc.
Inventory:
Max Inventory -> Capacity
Min Inventory -> To fulfill Needs

Location:
Where is it?
Distances between Nodes Features of Links: From & To:
Between Nodes X -> Y

Shipping Costs
Max in delivery -> Capability
Min in delivery -> To fulfill Needs
Others:
Cost for different items / products
Cost for different distances Nodes
&
Links Matrix Numerous Matrix for Supply Chain: It have Different Stakeholders
&
They have different Expectations Manufacturers
Benefits from more production
Suppliers
Reduce costs while maintaining certain reliability of supply
Customers:
Lower price, no shortage, short distance for purchasing, etc. Optimizing Algorithms: Solution Pool Algorithms
for selections /
solution generations Optimized Solutions Using Multi-Objective Evolutionary Algorithms (NSGA-II & MO-PSDA) In coding? Defined variations & Rules Generate Solutions Penalties -> Selections Optimized Solutions Actually
In coding: Defined variations & Rules Input:
Failed Nodes/Links solution_generations
& evaluators Optimized Solutions To hitting at the best solutions We can do? Build a General Software for All Supply Chains? No:
Workable
but not Practical Define Scenarios for Supply Chains with different stakeholders & Requirements Customize Models &
Define selectable optimize Algorithms Generate Software to compute
for
the best solutions For each kind of Supply-chain: What's Done: In Future: Generate Software to compute
for
the best solutions We can: Defined Matrix of Supply Chain Output:
Archived solution, Analytical Pictures,
etc. For a typical Supply Chain What if a failure happened to one node? Best investment solution for recovery Defined variations & Rules Input:
Failed Nodes MO-PSDA
solution_generations
& evaluators Optimized Solutions Output:
Archived solution, Analytical Pictures. Vender Intermediate Central Intermediate Field Field Field Field Field Field Expectations of Supplier: Reduce costs on
while maintaining certain reliability of supply
Customers:
Lower price, no shortage, short distance for purchasing, etc. Build a platform with selectable tools for all kinds of supply-chain & customized features optimization Build a General Software for All Supply Chains? Provide Optimized solutions for different failure
Provide comparison of solutions of different Algorithms Defined Matrix of Supply Chain For a Medical Supply Chain What if a failure happened to one node? Best investment solution for recovery Defined variations & Rules Input:
Failed Nodes MO-PSDA
solution_generations
& evaluators Optimized Solutions Output:
Archived solution, Analytical Pictures. Vender Intermediate Central Intermediate Field Field Field Field Field Field Provide Customizing functions to Define Scenarios with different stakeholders & Requirements Supply chain requires:
0 Fatal due to medicine Shortage
Minimized storage
May have alternative medicine

Solution includes:
Minimize recovery time & cost for recovery
Optimized minimum inventory
Full transcript