Aggregate Production Planning (APP)

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Presentation transcript:

Aggregate Production Planning (APP) Matches market demand to company resources Plans production 6 months to 12 months in advance Expresses demand, resources, and capacity in general terms Develops a strategy for economically meeting demand Establishes a companywide game plan for allocating resources

Inputs and Outputs to Aggregate Production Planning Company Policies Financial Constraints Strategic Objectives Units or dollars subcontracted, backordered, or lost Capacity Size of Workforce per month (in units or $) Inventory Levels Demand Forecasts

Strategies for Meeting Demand 1. Use inventory to absorb fluctuations in demand (level production) 2. Hire and fire workers to match demand (chase demand) 3. Maintain resources for high demand levels 4. Increase or decrease working hours (over & undertime) 5. Subcontract work to other firms 6. Use part-time workers 7. Provide the service or product at a later time period (backordering)

Strategy Details Level production - produce at constant rate & use inventory as needed to meet demand Chase demand - change workforce levels so that production matches demand Maintaining resources for high demand levels - ensures high levels of customer service Overtime & undertime - common when demand fluctuations are not extreme

Strategy Details Subcontracting - useful if supplier meets quality & time requirements Part-time workers - feasible for unskilled jobs or if labor pool exists Backordering - only works if customer is willing to wait for product/services

Level Production Demand Production Units Time

Chase Demand Demand Units Production Time

APP Using Pure Strategies Quarter Sales Forecast (lb) Spring 80,000 Summer 50,000 Fall 120,000 Winter 150,000 Hiring cost = $100 per worker Firing cost = $500 per worker Inventory carrying cost = $0.50 pound per quarter Production per employee = 1,000 pounds per quarter Beginning work force = 100 workers

Level Production Strategy Sales Production Quarter Forecast Plan Inventory Spring 80,000 100,000 20,000 Summer 50,000 100,000 70,000 Fall 120,000 100,000 50,000 Winter 150,000 100,000 0 400,000 140,000 Cost = 140,000 pounds x 0.50 per pound = $70,000

Chase Demand Strategy Sales Production Workers Workers Workers Quarter Forecast Plan Needed Hired Fired Spring 80,000 80,000 80 - 20 Summer 50,000 50,000 50 - 30 Fall 120,000 120,000 120 70 - Winter 150,000 150,000 150 30 - 100 50 Cost = (100 workers hired x $100) + (50 workers fired x $500) = $10,000 + 25,000 = $35,000

Other Quantitative Techniques Linear programming Linear decision rule (LDR) Search decision rule (SDR) Management coefficients model Linear decision rule (LDR) payroll, staffing, over/undertime, inventory costs Search decision rule (SDR) find minimum cost combination of labor levels & production rates Management coefficients model uses regression analysis to improve consistency of planning 20

Strategies for Managing Demand Shift demand into other periods incentives, sales promotions, advertising campaigns Offer product or services with countercyclical demand patterns create demand for idle resources

Hierarchical Planning Process Items Product lines or families Individual products Components Manufacturing operations Resource level Plants Individual machines Critical work centers Production Planning Capacity Planning Resource Requirements Plan Rough-Cut Capacity Plan Capacity Input/Output Control Aggregate Production Plan Master Production Schedule Material Shop Floor All work centers

Aggregate Planning for Services 1. Most services can’t be inventoried 2. Demand for services is difficult to predict 3. Capacity is also difficult to predict 4. Service capacity must be provided at the appropriate place and time 5. Labor is usually the most constraining resource for services