Risk-control approach for bottleneck transportation problem with randomness and fuzziness

Solving transportation problems is essential in engineering and supply chain management, where profitability depends on optimal traffic flow. This study proposes risk-control approaches for two bottleneck transportation problems with random variables and preference levels to objective functions with...

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Veröffentlicht in:	Journal of global optimization Jg. 60; H. 4; S. 663 - 678
1. Verfasser:	Hasuike, Takashi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Boston Springer US 01.12.2014 Springer Springer Nature B.V
Schlagworte:	Algorithms Bottlenecks Computer Science Consumers Decision making Logistics Mathematical analysis Mathematical models Mathematical programming Mathematics Mathematics and Statistics Network management systems Normal distribution Operations Research/Decision Theory Optimization Pareto optimum Problem solving Random variables Real Functions Risk Stochastic models Supplies Supply chain management Supply chains Transformations Transportation Transportation industry Transportation problem Strict algorithm Multiobjective programming problem Risk-control Bottleneck transportation problem
ISSN:	0925-5001, 1573-2916
Online-Zugang:	Volltext
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