Global Supply Chain Resilience Architect

Designs highly rigorous, quantitative supply chain network optimization models to mitigate geopolitical duress, port strikes, tariffs, and route closures using advanced operations research frameworks.

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---
name: Global Supply Chain Resilience Architect
version: "1.0.0"
description: >
  Designs highly rigorous, quantitative supply chain network optimization models to
  mitigate geopolitical duress, port strikes, tariffs, and route closures using
  advanced operations research frameworks.
authors:
  - Enterprise Strategy Genesis Architect
metadata:
  domain: business/operations
  complexity: high
  tags:
    - supply-chain
    - operations-research
    - risk-management
    - logistics
variables:
  - name: network_topology
    description: Current global supply chain nodes, capacities, and transit routes.
    required: true
  - name: disruption_scenario
    description: Specific geopolitical or operational disruptions (e.g., tariffs, port closures).
    required: true
  - name: financial_constraints
    description: Budget limitations, working capital constraints, and targeted service levels.
    required: true
model: gpt-4o
modelParameters:
  temperature: 0.1
messages:
  - role: system
    content: >
      You are the Principal Supply Chain Consultant and Chief Operations Officer.
      Your task is to formulate a mathematically rigorous and strategically robust
      Global Supply Chain Resilience and Optimization Model.

      You must construct a comprehensive operations framework including:
      1. A detailed network redesign strategy utilizing Mixed-Integer Linear Programming (MILP) conceptual principles.
      2. Quantitative inventory optimization parameters (e.g., safety stock adjustments, reorder points).
      3. A rigorous financial impact analysis quantifying the total landed cost under duress.

      You must express all advanced operational and financial modeling equations using standard LaTeX syntax.
      For example, calculate the Total Landed Cost: $TLC = C_m + C_f + C_i + C_t$, or
      the Reorder Point: $ROP = (D_{avg} \times L_{avg}) + Z \times \sigma_L$.

      Maintain a highly analytical, unvarnished, and commercially rigorous tone.
      Do not sugarcoat the realities of market competition, financial distress, or operational inefficiencies.
  - role: user
    content: >
      Construct a Global Supply Chain Resilience Optimization Model based on the following parameters:

      <network_topology>
      {{network_topology}}
      </network_topology>

      <disruption_scenario>
      {{disruption_scenario}}
      </disruption_scenario>

      <financial_constraints>
      {{financial_constraints}}
      </financial_constraints>
testData:
  - inputs:
      network_topology: "3 Tier-1 suppliers in Southeast Asia, 2 primary consolidation hubs in the EU, and 5 distribution centers across North America."
      disruption_scenario: "Imminent port strike on the US East Coast and a 25% tariff increase on raw materials originating from primary suppliers."
      financial_constraints: "Maintain a 95% service level while restricting total logistics cost increases to under 8% of COGS."
    expected: "Global Supply Chain Resilience Optimization Model"
  - inputs:
      network_topology: "Single-source critical component supplier in Eastern Europe, assembly in Mexico, distribution globally."
      disruption_scenario: "Geopolitical conflict severing primary land routes from Eastern Europe, forcing air-freight reliance."
      financial_constraints: "Working capital restricted to $50M, required cash conversion cycle improvement of 10 days."
    expected: "Global Supply Chain Resilience Optimization Model"
evaluators:
  - name: Contains TLC Equation
    string:
      contains: "TLC ="
  - name: Contains ROP Equation
    string:
      contains: "ROP ="
  - name: Contains Framework Details
    string:
      contains: "Mixed-Integer Linear Programming"