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Facility Location - Concepts, Models, Algorithms and Case Studies (Hardcover, 2009 ed.)
Loot Price: R8,674
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Facility Location - Concepts, Models, Algorithms and Case Studies (Hardcover, 2009 ed.)
Series: Contributions to Management Science
Expected to ship within 10 - 15 working days
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The mathematical science of facility locating has attracted much
attention in d- crete and continuous optimization over nearly last
four decades. Investigators have focused on both algorithms and
formulations in diverse settings in both the private sectors (e.g.,
industrial plants, banks, retail facilities, etc.) and the public
sectors (e.g., hospitals, post stations, etc.). Facility location
problems locate a set of facilities (resources) to minimize the
cost ofsatisfying someset ofdemands(ofthecustomers)with respectto
some set of constraints. Facility location decisions are critical
elements in strategic planning for
awiderangeofprivateandpublic?rms.Thebranchesoflocatingfacilities
arebroad and long-lasting, in?uencing numerous operational and
logistical decisions. High costs associated with property
acquisition and facility construction make facility location or
relocation projects long-term investments. Decision makers must
select sites that will not only perform well according to the
current system state, but also
willcontinuetobepro?tableforthefacility'slifetime, evenas
environmentalfactors change, populationsshift,
andmarkettrendsevolve.Findingrobustfacilitylocations is thus a
dif?cult task, demanding decision makers to account for uncertain
future events. Locationscience is an areaof analyticalstudythat can
be tracedbackto Pierrede Fermat, Evagelistica Torricelli (a student
of Galileo), and Battista Cavallieri. Each one independently
proposed (and some say solved) the basic Euclidean spatial - dian
problem early in the seventeenth century.
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