000 04390nam a22005655i 4500
001 978-1-4614-1608-1
003 DE-He213
005 20140220083243.0
007 cr nn 008mamaa
008 111220s2012 xxu| s |||| 0|eng d
020 _a9781461416081
_9978-1-4614-1608-1
024 7 _a10.1007/978-1-4614-1608-1
_2doi
050 4 _aHD30.23
072 7 _aKJT
_2bicssc
072 7 _aKJMD
_2bicssc
072 7 _aBUS049000
_2bisacsh
082 0 4 _a658.40301
_223
100 1 _aBarnhart, Cynthia.
_eeditor.
245 1 0 _aQuantitative Problem Solving Methods in the Airline Industry
_h[electronic resource] :
_bA Modeling Methodology Handbook /
_cedited by Cynthia Barnhart, Barry Smith.
264 1 _aBoston, MA :
_bSpringer US,
_c2012.
300 _aIX, 458p. 90 illus., 52 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aInternational Series in Operations Research & Management Science,
_x0884-8289 ;
_v169
505 0 _aChapter 1. Customer Modeling -- Chapter 2. Airline Planning and Schedule Development -- Chapter 3. Revenue Management -- Chapter 4. Airline Distribution -- Chapter 5. Crew Management Information Systems -- Chapter 6. Operations -- Chapter 7. Air Traffic Flow Management.
520 _aThis book reviews Operations Research theory, applications and practice in seven major areas of airline planning and operations.  In each area, a team of academic and industry experts provides an overview of the business and technical landscape, a view of current best practices, a summary of open research questions and suggestions for relevant future research.  There are several common themes in current airline Operations Research efforts.  First is a growing focus on the customer in terms of: 1) what they want; 2) what they are willing to pay for services; and 3) how they are impacted by planning, marketing and operational decisions.  Second, as algorithms improve and computing power increases, the scope of modeling applications expands, often re-integrating processes that had been broken into smaller parts in order to solve them in the past.  Finally, there is a growing awareness of the uncertainty in many airline planning and operational processes and decisions.  Airlines now recognize the need to develop ‘robust’ solutions that effectively cover many possible outcomes, not just the best case, “blue sky” scenario.  Individual chapters cover: Customer Modeling methodologies, including current and emerging applications. Airline Planning and Schedule Development, with a look at  many remaining open research questions. Revenue Management, including a view of current business and technical landscapes, as well as suggested areas for future research. Airline Distribution -- a comprehensive overview of this newly emerging area. Crew Management Information Systems, including a review of recent algorithmic advances, as well as the development of information systems that facilitate the integration of crew management modeling with airline planning and operations. Airline Operations, with consideration of recent advances and successes in solving the airline operations problem. Air Traffic Flow Management, including the modeling environment and opportunities for both Air Traffic Flow Management and the airlines.
650 0 _aEconomics.
650 0 _aEngineering economy.
650 0 _aCivil engineering.
650 0 _aIndustrial organization (Economic theory).
650 0 _aRegional economics.
650 0 _aBusiness planning.
650 1 4 _aEconomics/Management Science.
650 2 4 _aOperations Research/Decision Theory.
650 2 4 _aEngineering Economics, Organization, Logistics, Marketing.
650 2 4 _aIndustrial Organization.
650 2 4 _aRegional/Spatial Science.
650 2 4 _aCivil Engineering.
650 2 4 _aOrganization/Planning.
700 1 _aSmith, Barry.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781461416074
830 0 _aInternational Series in Operations Research & Management Science,
_x0884-8289 ;
_v169
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4614-1608-1
912 _aZDB-2-SBE
999 _c101106
_d101106