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9780130227430

Ds for Windows

by
  • ISBN13:

    9780130227430

  • ISBN10:

    0130227439

  • Edition: 2nd
  • Format: Paperback w/Disk
  • Copyright: 2000-01-01
  • Publisher: Pearson College Div
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Summary

DS for Windows is the most user-friendlyWindows software available for production and operations management, quantitative methods, management science, and operations research. A software/user's manualpackage, it features 30 separate modules for POM and QM. MODULES: Aggregate Planning. Assembly Line Balancing. Assignment. Breakeven/Cost-Volume Analysis. Capital Investment. Decision Analysis. Forecasting. Game Theory. Goal Programming. Integer Programming. Inventory. Job Shop Scheduling. Learning Curves. Linear Programming. Location. Lot Sizing. Markov Analysis. Material Requirements Planning. Mixed Integer Programming. Networks. Operations Layout. Productivity. Project Management. Quality Control. Reliability. Simulation. Statistics. Transportation. Waiting Lines. Work Measurement. For anyone involved in Production and Operations Management, Quantitative Methods, Management Science, or Operations Research.

Table of Contents

Introduction
Overview
1(2)
Hardware and Software Requirements
3(1)
Installing the Software
4(1)
The Program Group
5(1)
Starting the Program
6(1)
The Main Screen
7(4)
A Sample Problem
Introduction
11(1)
Creating a New Problem
12(1)
The Data Screen
13(1)
Entering and Editing Data
13(2)
The Solution Screen
15(2)
The Main Menu
File
17(4)
Edit
21(2)
View
23(1)
Module
23(1)
Format
23(3)
Tools
26(1)
Window
27(1)
Help
27(3)
Printing
The Print Setup Screen
30(1)
Information to Print
31(1)
Page Header Information
32(1)
Page Layout
32(1)
Printer Options
33(2)
Graphs
Introduction
35(1)
File Saving
36(1)
Print
36(1)
Colors and Fonts
36(1)
Modules
Aggregate (Production) Planning
37(10)
The Assignment Model
47(2)
Assembly Line Balancing
49(8)
Breakeven/Cost-Volume Analysis
57(4)
Capital Investment
61(2)
Decision Analysis
63(7)
Forecasting
70(13)
Game Theory
83(3)
Goal Programming
86(4)
Integer Programming
90(2)
Inventory
92(6)
Job Shop Scheduling (Sequencing)
98(8)
Learning (Experience) Curves
106(3)
Linear Programming
109(5)
Location
114(5)
Lot Sizing
119(5)
Markov Analysis
124(4)
Material Requirements Planning
128(7)
Mixed Integer Programming
135(2)
Networks
137(4)
Operations/Facility Layout
141(4)
Productivity
145(1)
Project Scheduling
146(9)
Quality Control
155(7)
Reliability
162(3)
Simulation
165(3)
Statistics
168(2)
The Transportation Model
170(3)
Waiting Lines
173(9)
Work Measurement
182

Supplemental Materials

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