A multiple objective goal programming approach to the truckload routing problem

Truckload (TL) routing has always been a challenge. The TL routing problem (TRP) itself is hard, but the complexity of solving the problem increases due to the stochastic nature of TL demand. It is traditionally approached using single objective solution methodologies that range from linear programm...

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Vydáno v:The Journal of the Operational Research Society Ročník 62; číslo 8; s. 1524 - 1532
Hlavní autor: Miori, V M
Médium: Journal Article
Jazyk:angličtina
Vydáno: London Taylor & Francis 01.08.2011
Palgrave Macmillan
Palgrave Macmillan UK
Taylor & Francis Ltd
Témata:
Algebra
Algorithms
Applied sciences
Business and Management
Case-oriented Paper
Case-oriented Papers
Cost control
Datasets
Decision making
Decision theory. Utility theory
Dynamic programming
Econometrics
Exact sciences and technology
Goal programming
Heuristic
Integer programming
Linear programming
Logistics
Management
Mathematical programming
Minimization of cost
multi-objective
Neighborhoods
Operational research and scientific management
Operational research. Management science
Operations research
Operations Research/Decision Theory
Production planning
Route optimization
Studies
Tabu search
Time windows
Transportation
triplet
vehicle routing
Vehicles
triplet
goal programming
vehicle routing
multi-objective
Vehicle routing problem
Multiobjective programming
Linear programming
Routing
Goal programming
Algebra
Load capacity
Tabu search
Lorry
Problem solving
Dynamic programming
Logistics
ISSN:0160-5682, 1476-9360
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Popis
Shrnutí:Truckload (TL) routing has always been a challenge. The TL routing problem (TRP) itself is hard, but the complexity of solving the problem increases due to the stochastic nature of TL demand. It is traditionally approached using single objective solution methodologies that range from linear programming to dynamic programming techniques. This paper presents a deterministic multiple objective formulation of the TRP. A 'route algebra' is developed to facilitate the solution procedure, paving the way for the use of goal programming and tabu search techniques.
Bibliografie:SourceType-Scholarly Journals-1
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content type line 14
ISSN:0160-5682
1476-9360
DOI:10.1057/jors.2010.91