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Linear Programming for Project Management Professionals
Explore Concepts, Techniques, and Tools to Achieve Project Management Objectives
Taschenbuch von Partha Majumdar
Sprache: Englisch

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Beschreibung
This book assists project management professionals in resolving project crashing situations through linear programming. It demonstrates how the PM team can help streamline the project's on-time completion and cost optimization.

The book begins with understanding project management processes and frameworks such as WBS, PDM, and EVM. The book helps build familiarity with the PM team's procedures to monitor a project. It helps investigate linear programming problems (LPPs) and the mathematical foundations for their formulation. It covers various approaches to solving the LPP, including graphical methods, their limitations, and the necessity of tools such as MS Excel's Solver. It also covers how the PM team can solve LPP with the help of Solver.

This book covers various business and technical scenarios for crashing a project. It teaches how to formulate the problem of optimizing a project for time and cost using LPP. This book then discusses how LPP can be solved using Solver and more complex issues. It also explores the relationship between earned value management and crashing a project.

TABLE OF CONTENTS
1. Project Scheduling
2. Earned Value Method
3. Linear Programming Problems
4. Crashing a Project
5. Using LPP to Crash a Project
6. More Complex Problems
7. Linking EVM and LPP
8. Annexure I: Microsoft Excel Basics
9. Annexure II: Advanced Methods of Crashing a Project
This book assists project management professionals in resolving project crashing situations through linear programming. It demonstrates how the PM team can help streamline the project's on-time completion and cost optimization.

The book begins with understanding project management processes and frameworks such as WBS, PDM, and EVM. The book helps build familiarity with the PM team's procedures to monitor a project. It helps investigate linear programming problems (LPPs) and the mathematical foundations for their formulation. It covers various approaches to solving the LPP, including graphical methods, their limitations, and the necessity of tools such as MS Excel's Solver. It also covers how the PM team can solve LPP with the help of Solver.

This book covers various business and technical scenarios for crashing a project. It teaches how to formulate the problem of optimizing a project for time and cost using LPP. This book then discusses how LPP can be solved using Solver and more complex issues. It also explores the relationship between earned value management and crashing a project.

TABLE OF CONTENTS
1. Project Scheduling
2. Earned Value Method
3. Linear Programming Problems
4. Crashing a Project
5. Using LPP to Crash a Project
6. More Complex Problems
7. Linking EVM and LPP
8. Annexure I: Microsoft Excel Basics
9. Annexure II: Advanced Methods of Crashing a Project
Details
Erscheinungsjahr: 2021
Fachbereich: Anwendungs-Software
Genre: Importe, Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
ISBN-13: 9789355511164
ISBN-10: 9355511167
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Majumdar, Partha
Hersteller: BPB Publications
Verantwortliche Person für die EU: Books on Demand GmbH, In de Tarpen 42 In de Tarpen 42, D-22848 Norderstedt, info@bod.de
Maße: 235 x 191 x 13 mm
Von/Mit: Partha Majumdar
Erscheinungsdatum: 29.12.2021
Gewicht: 0,46 kg
Artikel-ID: 121134850
Details
Erscheinungsjahr: 2021
Fachbereich: Anwendungs-Software
Genre: Importe, Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
ISBN-13: 9789355511164
ISBN-10: 9355511167
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Majumdar, Partha
Hersteller: BPB Publications
Verantwortliche Person für die EU: Books on Demand GmbH, In de Tarpen 42 In de Tarpen 42, D-22848 Norderstedt, info@bod.de
Maße: 235 x 191 x 13 mm
Von/Mit: Partha Majumdar
Erscheinungsdatum: 29.12.2021
Gewicht: 0,46 kg
Artikel-ID: 121134850
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