OPERATIONS MANAGEMENT: Creating Value Along the Supply Chain, Canadian Edition Robert S. Russell, Bernard W. Taylor III, Ignacio Castillo, Navneet Vidyarthi CHAPTER 14 Sales and Capacity Planning 1 Learning Objectives The Sales and Operations Planning Process Strategies for Adjusting Capacity Strategies for Managing Demand Quantitative Techniques for Aggregate Planning Hierarchical Nature of Planning Aggregate Planning for Services 14-2 Sales and Operations Planning Determines resource capacity to meet demand over an intermediate time horizon Aggregate refers to sales and operations planning for product lines or families Sales and Operations planning (S&OP) matches supply and demand Objectives Establish a company wide plan for allocating resources Develop an economic strategy for meeting demand 14-3 Sales and Operations Planning Process 14-4 Monthly S&OP Planning Process 14-5 Disaggregation Breaking an aggregate plan into more detailed plans Create Master Production Schedule for Material Requirements Planning 14-6 Collaborative Planning Sharing information and synchronizing production across supply chain Part of CPFR (collaborative planning, forecasting, and replenishment) involves selecting products to be jointly managed, creating a single forecast of customer demand, and synchronizing production across supply chain 14-7 Available-to-Promise (ATP) Quantity of items that can be promised to customer Difference between planned production and customer orders already received Capable-to-promise quantity of items that can be produced and mad available at a later date 14-8 ATP 14-9 ATP 14-10 ATP 14-11 Rule Based ATP 14-12 Meeting Demand Strategies Adjusting capacity Resources to meet demand are acquired and maintained over the time horizon of the plan Minor variations in demand are handled with overtime or under-time Managing demand Proactive demand management 14-13 Strategies for Adjusting Capacity Level production Producing at a constant rate and using inventory to absorb fluctuations in demand Chase demand Hiring and firing workers to match demand Peak demand Maintaining resources for high-demand levels 14-14 Strategies for Adjusting Capacity Overtime and under-time Increase or decrease working hours Subcontracting Let outside companies complete the work Part-time workers Hire part-time workers to complete the work Backordering Provide the service or product at a later time period 14-15 Level Production Units Demand Production Time 14-16 Chase Demand Demand Units Production Time 14-17 Strategies for Managing Demand Shifting demand into other time periods Incentives Sales promotions Advertising campaigns Offering products or services with counter-cyclical demand patterns Partnering with suppliers to reduce information distortion along the supply chain 14-18 Quantitative Techniques For AP Pure Strategies Mixed Strategies Linear Programming Transportation Method Other Quantitative Techniques 14-19 Pure Strategies 14-20 Level Production Strategy Level production (50,000 + 120,000 + 150,000 + 80,000) = 100,000 pounds 4 QUARTER Spring Summer Fall Winter SALES FORECAST 80,000 50,000 120,000 150,000 PRODUCTION PLAN INVENTORY 100,000 100,000 100,000 100,000 400,000 20,000 70,000 50,000 0 140,000 Cost of Level Production Strategy (400,000 X $2.00) + (140,00 X $.50) = $870,000 14-21 Chase Demand Strategy 14-22 Level Production with Excel 14-23 Chase Demand with Excel 14-24 Mixed Strategy Combination of Level Production and Chase Demand strategies Example policies no more than x% of workforce can be laid off in one quarter inventory levels cannot exceed x dollars Some industries may shut down manufacturing during the low demand season and schedule employee vacations during that time 14-25 General Linear Programming (LP) Model LP gives an optimal solution, but demand and costs must be linear Let Wt = workforce size for period t Pt =units produced in period t It =units in inventory at the end of period t Ft =number of workers fired for period t Ht = number of workers hired for period t 14-26 LP MODEL 14-27 Setting up the Spreadsheet 14-28 Setting up the Spreadsheet 14-29 The LP Solution 14-30 Level Production for Quantum 14-31 Chase Demand for Quantum 14-32 LP Solution for Quantum 14-33 Transportation Method 14-34 Transportation Tableau 14-35 Transportation Tableau 14-36 Burruss’ Production Plan 14-37 Excel and Transportation Method 14-38 Other Quantitative Techniques Linear decision rule (LDR) Search decision rule (SDR) Management coefficients model 14-39 Aggregate Planning for Services Most services cannot be inventoried Demand for services is difficult to predict Capacity is also difficult to predict Service capacity must be provided at the appropriate place and time Labor is usually the most constraining resource for services 14-40 Yield Management 14-41 Yield Management 14-42 Yield Management 14-43 COPYRIGHT Copyright © 2014 John Wiley & Sons Canada, Ltd. 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