Solving Supply Chain

作者 gopigment6fec49f4ce9d无许可证22 个星标收录于 2026年10月8日更新于 2026年10月8日仓库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.

仅含说明Business & Finance
AI 生成的概览

指导在规划平台中搭建供应链计划:需求、库存、采购与 S&OP 模型。

功能
为搭建供应链计划模型提供内嵌指导:包含统计预测与调整的需求计划、含期初与期末余额的库存管理、含净需求与供应商分配的采购计划,以及 S&OP 汇总。针对每个用例说明维度、指标结构、公式、搭建顺序与报表布局。产出的是计划模型设计与报表规格,而非文件或代码。
适用场景
适用于搭建或扩展供应链计划用例时,例如需求预测、库存与安全库存计划、采购订单计划或 S&OP 对齐。前提是已存在版本维度并已配置日历。
运行要求
需要一个具备版本、日历、指标、迭代计算循环与预测函数的规划平台,以及版本、日历、预测、迭代和跨应用共享等前置技能。仅为说明性内容,不含脚本。

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.

来源与署名

来源:gopigment/ai-plugins位于skills/solving-supply-chain提交6fec49f

许可证: 无许可证

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