Solving Supply Chain

作者 gopigment6fec49f4ce9d無授權條款22 個星標收錄於 2026年10月8日更新於 2026年10月8日儲存庫2 天前更新

Planning skill. Supply chain use cases: demand planning, inventory management, procurement planning, S&OP alignment. Each use case has inline guidance.

僅含說明Business & Finance
AI 產生的概覽

指導在規劃平台中建置供應鏈計畫:需求、庫存、採購與 S&OP 模型。

功能
為建置供應鏈計畫模型提供內嵌指引:包含統計預測與調整的需求計畫、含期初與期末餘額的庫存管理、含淨需求與供應商分配的採購計畫,以及 S&OP 彙總。針對每個使用情境說明維度、指標結構、公式、建置順序與報表版面。產出的是計畫模型設計與報表規格,而非檔案或程式碼。
適用情境
適用於建置或擴充供應鏈計畫使用情境時,例如需求預測、庫存與安全庫存計畫、採購訂單計畫或 S&OP 對齊。前提是已存在版本維度並已設定行事曆。
執行需求
需要一個具備版本、行事曆、指標、迭代計算循環與預測函式的規劃平台,以及版本、行事曆、預測、迭代和跨應用共享等前置技能。僅為說明性內容,不含指令碼。

Supply Chain Planning

Prerequisites: Version dimension exists (skill:building-versions-and-planning-cycles). Calendar configured (skill:setting-up-calendar).


Demand Planning

When: forecast product demand based on historical sales, seasonality, market signals, or sales team input.

Dimensions: Version, Month, Product (or SKU), Region (or Channel). Add Customer segment if demand varies by customer type.

Structure: historical demand metric (imported from ERP/WMS). Statistical forecast using FORECAST_ETS (seasonal) or FORECAST_LINEAR (trend-only) (see skill:forecasting-in-pigment). Judgmental adjustment metric (input) for sales team overrides on top of the statistical baseline. Final demand = statistical forecast + adjustment, or override-first using IFBLANK(adjustment, statistical).

Version usage: each planning cycle produces a demand plan version. Consensus demand (from S&OP) is a separate version or a dedicated metric combining inputs.

Reporting: Product (rows) × Month (columns) showing historical, statistical forecast, adjustments, and final demand. Chart widgets for demand trend with actuals overlay. Forecast accuracy = (Actual - Forecast) / Actual, tracked per version.


Inventory Management

When: plan inventory levels, safety stock, reorder points, and days of supply by product and location.

Dimensions: Version, Month, Product (or SKU), Warehouse (or Location). Product properties: Lead Time (days or months), Unit Cost, Min Order Quantity, Safety Stock Target.

Structure: when both opening and closing balances must be visible (reporting, reorder analysis, drill-down), use separate beginning and ending balance metrics dimensioned by Product and Month. Link them with PREVIOUSOF over an iterative calculation cycle (see skill:iterating-with-previous-and-cycles). Do not collapse to a single balance metric with PREVIOUS(Month) unless the user only needs one output line.

Beginning balance = prior period ending balance (seed the first period from opening stock). Ending balance = beginning + supply/receipts − consumption/demand. Reorder logic is typically a flag plus quantity metric; supply can feed ending directly or via an intermediate receipts metric.

Build order:

  1. Create all metrics in the dependency chain (balances, demand, reorder logic, supply/receipts as needed).
  2. Create the iterative calculation cycle over Month including the mutually dependent balance metrics.
  3. Write PREVIOUSOF on the beginning balance, then the ending roll-forward.

Do not substitute [SELECT: Month - 1] for PREVIOUSOF on a separate ending balance; it does not join the cycle.

Reporting: Product × Month grid showing inventory levels, days of supply, reorder alerts. Conditional formatting: red when below safety stock. KPI widgets for total inventory value and average days of supply.


Procurement Planning

When: plan purchase orders, supplier allocation, and procurement spend based on demand and inventory targets.

Dimensions: Version, Month, Product (or SKU), Supplier. Product properties: Lead Time, Unit Cost, Min Order Quantity. Supplier properties: Lead Time Override, Preferred flag.

Structure: net requirements = demand plan - projected available inventory. Planned order quantity = net requirements adjusted to Min Order Quantity (round up using CEILING). Order timing = shift planned orders backward by lead time (SELECT: Month - Lead_Time). Supplier allocation: if single source, direct assignment; if multi-source, allocation weights by supplier. Procurement spend = quantity × unit cost.

Reporting: Supplier (rows) × Month (columns) showing planned orders and spend. Product-level detail in drill-down views. KPI widgets for total procurement spend by version.


S&OP (Sales & Operations Planning)

When: align demand plan, supply plan, and financial plan into a consensus view for executive review.

Dimensions: Version, Month, Product (or Product Family). S&OP typically operates at a higher granularity (product family, quarter) than detailed planning.

Structure: demand plan (from demand planning, aggregated to product family). Supply plan (from inventory + procurement, aggregated). Revenue plan (demand × price). Gap analysis: demand vs supply capacity, revenue plan vs financial target. Use a Table block to combine demand, supply, revenue, and gap metrics into a single S&OP dashboard.

Cross-application: if demand, supply, and finance live in separate applications, use Libraries to share the relevant output metrics into an S&OP reporting app (see skill:sharing-data-between-applications). Keep detailed planning in domain apps; S&OP app consumes aggregated outputs only.

Reporting: Product Family (rows) × Month or Quarter (columns). One Board page per S&OP topic: demand review, supply review, financial reconciliation, executive summary. Use chart widgets for demand vs supply overlay (combined chart) and revenue gap waterfall.

來源與署名

來源:gopigment/ai-plugins位於skills/solving-supply-chain提交6fec49f

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