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Product Development Projects de Christopher Schlick

Product Development Projects: Understanding Complex Systems

Autor Christopher Schlick, Bruno Demissie
en Limba Engleză Hardback – 20 oct 2015
This book presents an analysis of the dynamics and the complexity of new product development projects which are organized according to the concept of concurrent engineering. The approach of the authors includes both a theoretical and an empirical treatment of the topic, based on the theory of design structure matrices. Readers will discover diverse perspectives and mathematical models, as well as an extensive discussion of two case studies.
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Specificații

ISBN-13: 9783319217161
ISBN-10: 331921716X
Pagini: 376
Ilustrații: VIII, 365 p.
Dimensiuni: 160 x 241 x 26 mm
Greutate: 0.73 kg
Ediția:1st edition 2016
Editura: Springer
Colecția Understanding Complex Systems
Seria Understanding Complex Systems

Locul publicării:Cham, Switzerland

Public țintă

Research

Cuprins

Introduction.- Mathematical Models of Cooperative Work in Product Development Projects.- Evaluation of Complexity in product development.- model-driven Evaluation of the Emergent Complexity of Cooperative Work based on Effective Measure Complexity.- Validity Analysis of Selected Closed-Form Solutions for Effective Measure Complexity.- Conclusions and Outlook.

Textul de pe ultima copertă

This book primarily explores two topics: the representation of simultaneous, cooperative work processes in product development projects with the help of statistical models, and the assessment of their emergent complexity using a metric from theoretical physics (Effective Measure Complexity, EMC). It is intended to promote more effective management of development projects by shifting the focus from the structural complexity of the product being developed to the dynamic complexity of the development processes involved.
The book is divided into four main parts, the first of which provides an introduction to vector autoregression models, periodic vector autoregression models and linear dynamical systems for modeling cooperative work in product development projects. The second part presents theoretical approaches for assessing complexity in the product development environment, while the third highlights and explains closed-form solutions for the complexity metric EMC for vector autoregression models and linear dynamical systems. Lastly, part four validates the models and methods using a case study from the industry, together with several Monte Carlo experiments.
Presenting a truly unique, integrated treatment of statistical approaches for modeling simultaneous, cooperative work processes in product development projects and assessing their complexity, the book offers a valuable resource for researchers in Industrial Engineering, Engineering Management and Project Management, as well as Project Managers seeking to model and evaluate their own development projects.

Caracteristici

Offers a rigorous treatment of the topic Presents both a theoretical and an empirical approach Includes valuable case studies