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Production Planning and Scheduling. Production Planning Also Known as Aggregate Planning Problem in Game: Set Production Every Period, Allocate Resources,

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Presentation on theme: "Production Planning and Scheduling. Production Planning Also Known as Aggregate Planning Problem in Game: Set Production Every Period, Allocate Resources,"— Presentation transcript:

1 Production Planning and Scheduling

2 Production Planning Also Known as Aggregate Planning Problem in Game: Set Production Every Period, Allocate Resources, Meet Demand Set P t = Production for t W t = Workforce for t

3 Production Planning Inputs: Resources (Rough-Cut Capacity Planning), Forecast, Inventory, Policies, Costs Demand Options: Pricing, Shifting Demand, Promotion, Markets for New Demand, Partnering with Suppliers, Allowing Back Orders (Shortages) Supply (Capacity) Options: Hiring/Layoff, Overtime, Temporary Workers, Inventories, Subcontracting, Expediting

4 Relevant Costs 1.Change in Production (E.g. Hire/Layoff) Costs 2.Inventory Holding Costs 3.Shortage Costs 4.Payroll Costs 5.Subcontracting Costs 6.Expediting Costs

5 Scheduling Strategies Level Workforce Steady Output Match Demand, Chase Mixed, Game Given: Beginning Inv. – Demand + P t = End Inv.

6 Scheduling Techniques: (1) Heuristics Informal Rules that Appear to Work Rules are Developed (Often by Trial and Error) and Tested in Real World or Computer Simulation Advantage: Rules Can Be Realistic. Disadvantage: Not Optimum.

7 Scheduling Techniques: (2) Linear Decision Rule EOQ-Like Approach TRC = Payroll + Holding + Shortage + Change in P t = f(P t, W t ) Calculus Used to Find Best P t and W t E.g. P t =.2F t +.1F t+1 +.05F t+2 -.1I t +.1W t-1 Advantage: Optimum Given that Equations “Fit”. Disadvantage: Cost

8 Scheduling Techniques: (3) Search Rules Used with Simulation Educated, Computer-Driven, Trial & Error Advantage: Realistic Costs, Not Optimum but Close. Disadvantage: Uses Lots of Computer Time

9 Master Production Schedule (MPS) Similar to Production Plan Time Periods or “Buckets” are Smaller Multiple Products are Shown: Disaggregating Done by Heuristics or Linear Programming Example on Page 658

10 Summary of the Scheduling Process FORECAST  ROUGH-CUT CAPACITY PLANNING  PRODUCTION PLAN  MASTER PRODUCTION SCHEDULE (MPS)  MATERIAL REQUIREMENTS PLANNING (MRP)  CAPACITY REQUIREMENTS PLANNING  SHOP FLOOR CONTROLS VENDOR CONTROLS

11 MRP Material Requirements Planning Manufacturing Resource Planning (MRP II) Translates MPS into Schedule of Component Requirements, Both Order Quantities and Times

12 MRP Inputs Master Production Schedule (MPS) Bill of Materials (Parts List, p. 660) Inventory Status – On Hand Lead Times

13 Bill of Materials: Problem 3.1

14 Problem 3.1 a Ear Plugs (2 x 1000) = 2000 Aspirin (1 x 1000) = 1000 Gas Masks (5 x 1000) = 5000 Boxes (1 x 1000) = 1000 Labels (1 x 1000) = 1000 Cardboard (1 x 5000) = 5000 Wax (2 x 2000) + (.5 x 5000) = 6500 Labor Hours (.08 x 2000) + (.1 x 5000) = 660

15 Problem 3.1 b,c b.Adjustment for Scrap: Scheduled Units = MRP / (1 – Scrap %) Scheduled Units = 5000 /.97 = 5155 c.Standard Time= MRP / (1 - % Delay) ST = 0.66 / 0.8= 0.825 Hours Actual Time= ST / Labor Efficiency AT = 0.825 /.9= 0.920 Hours

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