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Sales and Operations Planning

Sales and Operations Planning

Learning Objectives

  • Understand sales and operations planning (S&OP) and its coordination of manufacturing, logistics, service, and marketing plans.

  • Construct Linear Programming (LP) and determine an optimal aggregate plan.

What Is Sales and Operations Planning?

  • Sales and operations planning (S&OP) is a process that helps firms:

    • Provide better customer service.

    • Lower inventory.

    • Shorten customer lead times.

    • Stabilize production rates.

    • Give top management a handle on the business.

  • The process involves a series of meetings, culminating in a high-level meeting for key intermediate-term decisions.

  • Occurs at:

    • An aggregate level (major groups of products).

    • A detailed individual product level.

Major Sales and Operations Planning Activities

The following planning activities categorized by time horizon:

  • Long range

    • Supply network planning

    • Strategic capacity planning

    • Process planning

  • Medium Range

    • Sales and operations (aggregate) planning

      • Aggregate sales plan

      • Operations plan

    • Forecasting and demand management

    • Manufacturing

    • Logistics

    • Services

  • Short Range

    • Master scheduling

    • Material requirements planning

    • Order scheduling

    • Vehicle dispatching

    • Vehicle capacity planning

    • Vehicle loading

    • Weekly workforce scheduling

    • Daily workforce scheduling

    • Warehouse receipt planning

Aggregate Operations Plans

  • Specifies the optimal combination of:

    • Production rate: Units completed per unit of time.

    • Workforce level: Number of workers needed in a period.

    • Inventory on hand: Inventory carried from the previous period.

  • Deals with a product group or broad category (aggregation).

  • Covers an intermediate-range planning period of 3 to 18 months.

Aggregate Planning Techniques

  • Involves costing out various production planning alternatives and selecting the best one.

  • Techniques include:

    • Cut-and-try approach: Elaborate spreadsheets are developed to facilitate the decision process.

    • Linear programming: Use of mathematical analysis to determine an optimal plan.

    • Simulation: What-if analysis using simulated demand to evaluate the effectiveness of alternative plans.

The Good and Gooey Candy Company Example

  • Please see word and excel file (external reference).