Download presentation
1
Product Mix & Master Production Scheduling
2
Product Mix Problem Quantity of Each of Multiple Products to Produce
- Example: How Much of Various Flavors of Ice Cream to Produce? Solution Methods - Hueristics - Linear Programming
3
Linear Programming (L.P.)
Continuous Decision Variables Decision Variable Subject to Constraints Objective Function that is Maximized or Minimized Equations or Inequalities are Linear
4
Consider the Following:
The businessperson, Cindy Light, publishes two magazines, Paygirl (for men) and Payboy (for women). Monthly sales average about 6,000 and 4,500 issues respectively for the publications. Paygirls contribute $.60 per issue to net profits; Payboys add about $.50 per issue. No left over magazines are desirable. Each Paygirl requires two minutes of actual machine and labor time to produce. Payboys only require one minute. There are 10,000 total minutes per month of time available. Inventory storage space imposes another limitation. 48,000 cubic inches are available and each magazine uses up about 8. Determine monthly production for each magazine.
5
E.g. L.P. Formulation X1: Issues of Paygirl X2: Issues of Payboy
Objective Function: Max. Z = .6 X X2 Subject to (s.t.): 2 X1 + X2 10,000 (Labor) 8 X1 + 8X2 48,000 (Inventory) X 6,000 (Demand) X2 4,500 (Demand) X1, X2, 0
6
Linear Programming (L.P.)
We Can Use the Computer (Simplex Method Using POM for Windows) to Find the Answer. The Answer Would Be Incorporated in the Master Production Schedule
7
Master Production Scheduling (MPS)
Link between Production Planning and What is Built or What Service is Performed Used for Calculating Resource and Capacity Needs Drives Material Requirements Plan (MRP) Keeps Priorities Valid – Is Negotiated Agreement
8
MPS Differs from Production Plan
Shorter Time Buckets Used for Each End Item Not Families of Items as in Production Plan Generally More Detailed
9
Items in MPS Must Add Up to What’s in Production Plan
WEEK 1 2 3 4 5 6 UNICYCLES 100 50 40 BICYCLES TRICYCLES 20 TOTAL - Production Plan
10
What “End Items” Go into MPS
11
MPS Can Show Running Inventory
Made to Stock Only WEEK 1 2 3 4 TOTAL FORECAST 200 300 100 700 AVAILABLE 250 MPS
12
Optimizing MPS Develop Preliminary Plan
Maintain Desired Customer Service by Optimizing Available Goods Make Best Use of Resources (Materials, Labor, Equipment) Check Preliminary Plan Against Capacity Resolve Differences Between MPS and Capacity
13
MPS with Minimum Available of 100
WEEK 1 2 3 4 TOTAL FORECAST 200 300 100 700 AVAILABLE 250 MPS
14
(Two Hours per Bike; Three Hours per Trike)
MPS and Capacity Made to Stock (Two Hours per Bike; Three Hours per Trike) WEEK 1 2 3 4 5 6 BIKES 10 20 30 40 TRIKES TOTAL HOURS 80 70 120 90 CAPACITY 100
15
ATP (Available to Promise)
Portion of Inventory Not Committed – Available to Customer ATP = Scheduled Receipts + Beginning Inventory - Actual Orders Scheduled
16
ATP Calculation On Hand:100 ATP (1) = 100 – 80 = 20
WEEK 1 2 3 4 5 6 CUSTOMER ORDERS 80 10 30 MPS 100 ATP 20 70
Similar presentations
© 2024 SlidePlayer.com. Inc.
All rights reserved.