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Multi-Project Management with a Multi-Skilled Workforce : A Quantitative Approach Aiming at Small Project Teams

By: Walter, Matthias.
Material type: TextTextSeries: eBooks on Demand.Produktion und Logistik: Publisher: Wiesbaden : Springer Fachmedien Wiesbaden, 2014Description: 1 online resource (319 p.).ISBN: 9783658080365.Subject(s): Labor supply | Total quality managementGenre/Form: Electronic books.Additional physical formats: Print version:: Multi-Project Management with a Multi-Skilled Workforce : A Quantitative Approach Aiming at Small Project TeamsDDC classification: 650 Online resources: Click here to view this ebook.
Contents:
Foreword; Preface; Contents; List of figures; List of tables; List of algorithms; List of symbols; Chapter 1 Introduction; Chapter 2 Background and motivation; 2.1 Multi-project management; 2.2 Multi-skilled workers and flexibility design; 2.3 Why small project teams?; Chapter 3 Problem definitions and basic notation; 3.1 Setting of the problems; 3.2 The project selection problem; 3.3 The workforce assignment problem; 3.4 The utilization leveling problem; Chapter 4 Optimization models and complexity analysis; 4.1 An integrated approach vs. a hierarchical planning approach
4.2 A model for the project selection problem4.3 Models for the workforce assignment problem and their limitations; 4.3.1 Two alternative models for the workforce assignment problem; 4.3.2 Limitations of the assignment models and potential remedies and extensions; 4.4 Two alternative models for the utilization leveling problem; 4.5 A monolithic model for all three problems; 4.6 Complexity analysis; 4.6.1 Basic concepts of complexity theory; 4.6.2 Complexity of the project selection problem; 4.6.3 Complexity of the workforce assignment problem
4.6.4 Complexity of the utilization leveling problem4.6.5 Summary of results; Chapter 5 Literature review; 5.1 Work related to the project selection problem; 5.2 Work related to the workforce assignment problem; 5.3 Work related to the utilization leveling problem; Chapter 6 Solution methods; 6.1 Exact solution methods and their support; 6.1.1 Valid inequalities for the workforce assignment problem; 6.1.2 A polynomial-time algorithm for the utilization leveling problem; 6.2 Heuristic solution methods for the workforce assignment problem; 6.2.1 A greedy randomized assignment procedure (GRAP)
6.2.2 An iterated simultaneous assignment procedure (ISAP)6.2.3 A drop procedure (DROP); 6.2.4 A rounding procedure (ROUND) and a relax-and-fix approach; Chapter 7 Numerical analysis; 7.1 Generation of test instances; 7.2 Analysis for the project selection problem; 7.3 Analysis for the workforce assignment problem; 7.3.1 Analysis of exact methods and of their support; 7.3.2 Analysis of heuristic methods; 7.4 Analysis for the utilization leveling problem; Chapter 8 Discussion; Chapter 9 Summary and outlook; Bibliography
Summary: This book covers three fundamental problems at the interface of multi-project management and human resource management: the selection of projects, the composition of small project teams, and workload leveling. Matthias Walter proposes optimization models and solution methods for these problems, assuming multi-skilled workers with heterogeneous skill levels. For the first time, the author presents exact and heuristic methods that support managers to form small teams. Additionally, he outlines a new skill chaining strategy that increases workforce flexibility.
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Item type Current location Call number URL Status Date due Barcode
Electronic Book UT Tyler Online
Online
HF4999.2-6182 (Browse shelf) http://uttyler.eblib.com/patron/FullRecord.aspx?p=1967445 Available EBL1967445

Foreword; Preface; Contents; List of figures; List of tables; List of algorithms; List of symbols; Chapter 1 Introduction; Chapter 2 Background and motivation; 2.1 Multi-project management; 2.2 Multi-skilled workers and flexibility design; 2.3 Why small project teams?; Chapter 3 Problem definitions and basic notation; 3.1 Setting of the problems; 3.2 The project selection problem; 3.3 The workforce assignment problem; 3.4 The utilization leveling problem; Chapter 4 Optimization models and complexity analysis; 4.1 An integrated approach vs. a hierarchical planning approach

4.2 A model for the project selection problem4.3 Models for the workforce assignment problem and their limitations; 4.3.1 Two alternative models for the workforce assignment problem; 4.3.2 Limitations of the assignment models and potential remedies and extensions; 4.4 Two alternative models for the utilization leveling problem; 4.5 A monolithic model for all three problems; 4.6 Complexity analysis; 4.6.1 Basic concepts of complexity theory; 4.6.2 Complexity of the project selection problem; 4.6.3 Complexity of the workforce assignment problem

4.6.4 Complexity of the utilization leveling problem4.6.5 Summary of results; Chapter 5 Literature review; 5.1 Work related to the project selection problem; 5.2 Work related to the workforce assignment problem; 5.3 Work related to the utilization leveling problem; Chapter 6 Solution methods; 6.1 Exact solution methods and their support; 6.1.1 Valid inequalities for the workforce assignment problem; 6.1.2 A polynomial-time algorithm for the utilization leveling problem; 6.2 Heuristic solution methods for the workforce assignment problem; 6.2.1 A greedy randomized assignment procedure (GRAP)

6.2.2 An iterated simultaneous assignment procedure (ISAP)6.2.3 A drop procedure (DROP); 6.2.4 A rounding procedure (ROUND) and a relax-and-fix approach; Chapter 7 Numerical analysis; 7.1 Generation of test instances; 7.2 Analysis for the project selection problem; 7.3 Analysis for the workforce assignment problem; 7.3.1 Analysis of exact methods and of their support; 7.3.2 Analysis of heuristic methods; 7.4 Analysis for the utilization leveling problem; Chapter 8 Discussion; Chapter 9 Summary and outlook; Bibliography

This book covers three fundamental problems at the interface of multi-project management and human resource management: the selection of projects, the composition of small project teams, and workload leveling. Matthias Walter proposes optimization models and solution methods for these problems, assuming multi-skilled workers with heterogeneous skill levels. For the first time, the author presents exact and heuristic methods that support managers to form small teams. Additionally, he outlines a new skill chaining strategy that increases workforce flexibility.

Description based upon print version of record.

Author notes provided by Syndetics

Dr. Matthias Walter wrote his dissertation under the supervision of Prof. Dr. Jürgen Zimmermann at the Operations Research Group at Clausthal University of Technology.

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