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Badiru

Project Management

Systems, Principles, and Applications, Second Edition

Medium: Buch
ISBN: 978-1-138-74086-0
Verlag: Taylor & Francis Ltd (Sales)
Erscheinungstermin: 04.06.2019
Lieferfrist: bis zu 10 Tage
The goal of the new edition is to continue with a systems view of the world. For a more robust and worldwide market dissemination, the new edition has changed to a reference book. The project systems approach to project management, is needed in executing projects across countries and across cultures, which is a crucial requirement in today's globalized and intertwined economics. The book uses ample graphical representations to clarify the concepts and techniques presented. The case examples help to reinforce the topics covered. Several illustrative examples and practice exercises are included. Each chapter is updated and new chapters include Project Simulation and Project Templates. A new chapter on managing complex projects in an age of artificial intelligence adds a unique value to the book.

Features

- Highlights contemporary best practices of project management

- Uses a systems framework to integrate quantitative and qualitative tools

- Offers illustrative examples and practice exercises

- Covers project schedule performance appraisal techniques

- Discusses the knowledge areas contained in the Project Management Book of Knowledge (PMBOK)

- Presents software applications for project management, as well as case examples

Produkteigenschaften


  • Artikelnummer: 9781138740860
  • Medium: Buch
  • ISBN: 978-1-138-74086-0
  • Verlag: Taylor & Francis Ltd (Sales)
  • Erscheinungstermin: 04.06.2019
  • Sprache(n): Englisch
  • Auflage: 2. Auflage 2019
  • Serie: Systems Innovation Book Series
  • Produktform: Gebunden
  • Gewicht: 1179 g
  • Seiten: 544
  • Format (B x H x T): 180 x 257 x 33 mm
  • Ausgabetyp: Kein, Unbekannt
  • Vorauflage: 978-1-4200-8319-4

Autoren/Hrsg.

Autoren

Badiru, Adedeji B

Systems Approach to Project Management. Systems-Wide Project Planning. Project Systems Organization. Project Systems Scheduling. Resource Allocation Systems. Project Control Systems. Modeling for Project Optimization. Project Cost Systems. Advanced Forecasting and Inventory Modeling. Multiresource Scheduling. Case Examples and Applications. Emerging Roles of Artificial Intelligence in Project Management.