rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Product Development Projects
    sub title: Dynamics and Emergent Complexity
  name:
    name part: Schlick, Christopher.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Demissie, Bruno.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2016
    edition: 1st ed. 2016.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: VIII, 365 p. 56 illus., 50 illus. in color. online resource.
  abstract: 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.
  table of contents: 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.
  note: by Christopher Schlick, Bruno Demissie.
  subject:
    topic: Engineering
  subject:
    topic: Operations research
  subject:
    topic: Management science
  subject:
    topic: Complexity, Computational
  subject:
    topic: Engineering design
  subject:
    topic: Engineering economics
  subject:
    topic: Engineering economy
  subject:
    topic: Engineering
  subject:
    topic: Complexity
  subject:
    topic: Operations Research, Management Science
  subject:
    topic: Engineering Design
  subject:
    topic: Engineering Economics, Organization, Logistics, Marketing
  classification: QA76.9.M35
  classification: 620
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Understanding Complex Systems
  identifier: 9783319217178
  identifier: http://dx.doi.org/10.1007/978-3-319-21717-8
  record info:
    record creation date: 151012
    record change date: 20151106161019.0
    record identifier: 978-3-319-21717-8