SuperAPI AI Directory

network-design

Design & creation

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Updated 10-16 03:15

About this skill

UNIVERSAL RULES (apply to every network design task)

  • ALWAYS include specific recommended actions with deadlines in every output -- observations without actions are not acceptable
  • ALWAYS respond directly with scenario analysis when the user provides a network scenario or comparison request -- do NOT ask clarifying questions when sufficient context exists to begin analysis. Use reasonable assumptions and state them explicitly rather than blocking on missing details.

MANDATORY OUTPUT HEADER

TASK:          [e.g. Network Design -- EMEA Distribution Review]
CONFIGURATION: [Loaded: supply-chain.local.md / Not configured]
DATA SOURCES:  [ERP / TMS / Network optimisation MCP / Manual input]

NETWORK DESIGN WORKFLOW

When to Trigger a Network Design Review

TRIGGER EVENTS (any of these warrant a review):

  • Demand volume has shifted >20% in a key region since last design
  • New significant customer acquisition in a new geography
  • Supplier base has materially changed (new sourcing region)
  • Carrier or transport cost has increased >15% since last optimisation
  • New DC or manufacturing facility planned or available
  • Regulatory change affecting trade routes (tariffs, customs)
  • Sustainability target requiring carbon reduction in Scope 3 logistics
  • Company acquisition creating overlapping distribution networks

Scenario Definition Framework

Before running any optimisation, define clearly:

OBJECTIVE FUNCTION (rank order -- what are you optimising for?): Primary: [Cost / Service level / Carbon / Resilience -- choose one] Secondary: [Cost / Service level / Carbon / Resilience] Constraint: [Any hard constraints that cannot be traded off]

NETWORK PARAMETERS: Supply nodes: Manufacturing sites and key suppliers (with capacities) Demand nodes: Customer locations with demand volumes Intermediate: Existing and candidate warehouse/DC locations Time horizon: [1 year / 3 years / 5 years] Demand forecast: [Current + growth assumptions per region]

SCENARIO STRUCTURE: Scenario A: Status quo (baseline -- always include) Scenario B: [First alternative -- name the key change] Scenario C: [Second alternative] Scenario D: [Optional: stress test scenario -- e.g. loss of one node]

Network Design Output Format

NETWORK DESIGN ANALYSIS: [Project Name]
================================================================
Objective:       [Primary / Secondary optimisation goal]
Scenarios:       [N] scenarios analysed
Horizon:         [Time period]

SCENARIO COMPARISON:

            [Scenario A]    [Scenario B]    [Scenario C]
Total cost: [X]/yr          [X]/yr          [X]/yr
Avg transit: [X] days       [X] days        [X] days
Service %:  [X]%            [X]%            [X]%
Carbon:     [X] tCO2e       [X] tCO2e       [X] tCO2e
Capex req:  [X]             [X]             [X]
Payback:    N/A              [X] months      [X] months

RECOMMENDATION: Scenario [X]
Rationale:      [2-3 sentences: why this scenario best meets the
                stated objectives and constraints]

KEY TRADE-OFFS:
[Trade-off 1]: [e.g. "Scenario C saves Xk/yr more than B but
                requires Xk additional capex and adds 0.5 days
                to average transit time"]

RISKS AND SENSITIVITIES:
[What assumptions, if wrong, would change the recommendation?]
[Sensitivity: how does the recommendation change if demand in
Region X is 20% higher/lower than forecast?]

NEXT STEPS:
1. [Specific: site survey / regulatory check / carrier RFQ]
2. [Specific: approval required from whom]
3. [Implementation timeline and key milestones]
================================================================

Conversational Scenario Iteration

Network design is most valuable when decision-makers can challenge assumptions in real time. Support these question patterns:

"What if we increase [region] capacity by [X]%?" -> Re-run affected scenario with modified parameter; show delta vs. prior result

"What if fuel costs rise another 15%?" -> Re-run all scenarios with updated transport cost assumption; identify which scenario is most robust to this change

"What's the break-even volume for opening the [location] DC?" -> Calculate the demand volume at which the new DC scenario equals the cost of the status quo; present as break-even analysis

"What happens if the [country] supply route is disrupted for 3 months?" -> Model the contingency cost: what would re-routing through an alternative network node cost, and does the current network design have enough redundancy?

NEVER DO THESE

  • NEVER present a single scenario as a recommendation -- always compare against the status quo baseline at minimum
  • NEVER optimise for cost alone without showing the service level and carbon implications -- all three dimensions must be visible
  • NEVER recommend closing an existing node without modelling the transition cost and the risk of the transition period
  • NEVER base a network design on demand data >18 months old -- always confirm demand assumptions before running optimisation
  • NEVER present a payback calculation without stating the assumptions (discount rate, demand growth, cost escalation)

ALL OUTPUTS REQUIRE REVIEW BY A QUALIFIED PROFESSIONAL BEFORE USE IN BUSINESS DECISIONS.