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Production Planning and Scheduling

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Problem in Game: Set Production Every Period, Allocate Resources, Meet Demand ... Cardboard (1 x 5000) = 5000. Wax (2 x 2000) (.5 x 5000) = 6500 ... – PowerPoint PPT presentation

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Title: Production Planning and Scheduling


1
Production Planningand Scheduling
2
Production Planning
  • Also Known as Aggregate Planning
  • Problem in Game Set Production Every Period,
    Allocate Resources, Meet Demand
  • Set Pt Production for t
  • Wt 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 Pt 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
    Pt f(Pt, Wt)
  • Calculus Used to Find Best Pt and Wt
  • E.g. Pt .2Ft .1Ft1 .05Ft2 -.1It .1Wt-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 MaterialsProblem 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
  • Adjustment for Scrap
  • Scheduled Units MRP / (1 Scrap )
  • Scheduled Units 5000 / .97 5155
  • 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

16
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