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: Flexible Shift Planning in the Service Industry
    sub title: The Case of Physicians in Hospitals
  name:
    name part: Brunner, Jens O.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2010
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XI, 117 p. 25 illus. online resource.
  abstract: The book presents new ideas to model and solve the flexible shift planning problem of personnel workers in the service industry. First, a new modeling approach is proposed that requires shifts to be generated implicitly rather than employing a predefined set of shift types like three 8-hour or two 12-hour shifts to cover varying forecast demand. The objective is to minimize the total cost of the assignments given the general and individual labor restrictions. Second, to find high quality assignments two solution methodologies are presented. A heuristic decomposition strategy decomposes the problem into weekly subproblems whereas a branch-and-price algorithm that uses several branching rules decomposes the model by worker types. The master problem uses a set covering formulation whereas the subproblems are mixed integer programs. The modeling and solution methodologies are developed and tested using the example of physicians from an anesthesia department of a German university hospital.
  table of contents: Literature Review on Personnel Scheduling -- MIP Model for Flexible Shift Scheduling of Physicians -- Solution Methodologies -- Experimental Investigations -- Conclusions and Further Remarks.
  note: by Jens O. Brunner.
  subject:
    topic: Medicine
  subject:
    topic: Organization
  subject:
    topic: Planning
  subject:
    topic: Operations research
  subject:
    topic: Decision making
  subject:
    topic: Public health
  subject:
    topic: Mathematical optimization
  subject:
    topic: Management science
  subject:
    topic: Medicine & Public Health
  subject:
    topic: Medicine/Public Health, general
  subject:
    topic: Operation Research/Decision Theory
  subject:
    topic: Optimization
  subject:
    topic: Public Health
  subject:
    topic: Operations Research, Management Science
  subject:
    topic: Organization
  classification: R1
  classification: 610
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Lecture Notes in Economics and Mathematical Systems, 640
  identifier: 9783642105173
  identifier: http://dx.doi.org/10.1007/978-3-642-10517-3
  record info:
    record creation date: 100301
    record change date: 20151204184251.0
    record identifier: 978-3-642-10517-3