Generating feasible schedules for a pick-up and delivery problem
Identifieur interne : 00B426 ( Main/Merge ); précédent : 00B425; suivant : 00B427Generating feasible schedules for a pick-up and delivery problem
Auteurs : Eric Domenjoud [France] ; Claude Kirchner [France] ; Jianyang Zhou [France]Source :
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Abstract
In this research, we study a transportation problem that involves vehicle routing and driver scheduling for a bus station. The problem requires drivers to provide pick-up and delivery services to customers. Its solution involves planning itineraries for buses and establishing working schedule for drivers,subject to vehicle capacity limitation and time constraints. The objective is to efficiently schedule the fleet of vehicles for customer demand so as to reduce costs. This paper presents a complete constraint model and a solution method for solving the problem. For vehicle routing, a permutation constraint is used to impose a total order for visiting all customer locations regardless of different vehicle routes. This provides a global planning over all routes and plays an important role in the solution method. For driver scheduling, set partitioning constraints are used for assigning drivers and vehicles to requests. Based on this constraint model, efficient reactive planning and optimization algorithms are constructed to generate feasible schedules for the problem.
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region" nuts="2">Lorraine (région)</region></placeName><orgName type="university">Université Nancy 2</orgName><orgName type="institution" wicri:auto="newGroup">Université de Lorraine</orgName><placeName><settlement type="city">Nancy</settlement><region type="region" nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region></placeName><orgName type="university">Institut national polytechnique de Lorraine</orgName><orgName type="institution" wicri:auto="newGroup">Université de Lorraine</orgName></affiliation></author><author><name sortKey="Zhou, Jianyang" sort="Zhou, Jianyang" uniqKey="Zhou J" first="Jianyang" last="Zhou">Jianyang Zhou</name><affiliation wicri:level="1"><hal:affiliation type="researchteam" xml:id="struct-2360" status="OLD"><idno type="RNSR">199221357D</idno><orgName>Constraints, automatic deduction and software properties proofs</orgName><orgName type="acronym">PROTHEO</orgName><desc><address><country key="FR"></country></address><ref type="url">http://www.inria.fr/equipes/protheo</ref></desc><listRelation><relation active="#struct-160" type="direct"></relation><relation name="UMR7503" active="#struct-441569" type="indirect"></relation><relation active="#struct-300009" type="indirect"></relation><relation active="#struct-300291" type="indirect"></relation><relation active="#struct-300292" type="indirect"></relation><relation active="#struct-300293" type="indirect"></relation><relation active="#struct-2496" type="direct"></relation></listRelation><tutelles><tutelle active="#struct-160" type="direct"><org type="laboratory" xml:id="struct-160" status="OLD"><orgName>Laboratoire Lorrain de Recherche en Informatique et ses Applications</orgName><orgName type="acronym">LORIA</orgName><desc><address><addrLine>Campus Scientifique BP 239 54506 Vandoeuvre-lès-Nancy Cedex</addrLine><country key="FR"></country></address><ref type="url">http://www.loria.fr</ref></desc><listRelation><relation name="UMR7503" active="#struct-441569" 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type="acronym">Inria</orgName><desc><address><addrLine>Domaine de VoluceauRocquencourt - BP 10578153 Le Chesnay Cedex</addrLine><country key="FR"></country></address><ref type="url">http://www.inria.fr/en/</ref></desc></org></tutelle><tutelle active="#struct-300291" type="indirect"><org type="institution" xml:id="struct-300291" status="OLD"><orgName>Université Henri Poincaré - Nancy 1</orgName><orgName type="acronym">UHP</orgName><date type="end">2011-12-31</date><desc><address><addrLine>24-30 rue Lionnois, BP 60120, 54 003 NANCY cedex, France</addrLine><country key="FR"></country></address></desc></org></tutelle><tutelle active="#struct-300292" type="indirect"><org type="institution" xml:id="struct-300292" status="OLD"><orgName>Université Nancy 2</orgName><date type="end">2011-12-31</date><desc><address><addrLine>91 avenue de la Libération, BP 454, 54001 Nancy cedex</addrLine><country key="FR"></country></address></desc></org></tutelle><tutelle active="#struct-300293" type="indirect"><org type="institution" xml:id="struct-300293" status="OLD"><orgName>Institut National Polytechnique de Lorraine</orgName><orgName type="acronym">INPL</orgName><date type="end">2011-12-31</date><desc><address><country key="FR"></country></address></desc></org></tutelle><tutelle active="#struct-2496" type="direct"><org type="laboratory" xml:id="struct-2496" status="OLD"><orgName>INRIA Lorraine</orgName><desc><address><addrLine>615 rue du Jardin Botanique 54600 Villers-lès-Nancy</addrLine><country key="FR"></country></address><ref type="url">http://www.inria.fr/centre-de-recherche-inria/nancy-grand-est</ref></desc><listRelation><relation active="#struct-300009" type="direct"></relation></listRelation></org></tutelle></tutelles></hal:affiliation><country>France</country><placeName><settlement type="city">Nancy</settlement><region type="region" nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region></placeName><orgName type="university">Université Nancy 2</orgName><orgName type="institution" wicri:auto="newGroup">Université de Lorraine</orgName><placeName><settlement type="city">Nancy</settlement><region type="region" nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region></placeName><orgName type="university">Institut national polytechnique de Lorraine</orgName><orgName type="institution" wicri:auto="newGroup">Université de Lorraine</orgName></affiliation></author></analytic></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="mix" xml:lang="en"><term>constraint propagation</term><term>pick-up and delivery</term><term>planification</term><term>planning</term><term>propagation de contraintes</term><term>scheduling</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">In this research, we study a transportation problem that involves vehicle routing and driver scheduling for a bus station. The problem requires drivers to provide pick-up and delivery services to customers. Its solution involves planning itineraries for buses and establishing working schedule for drivers,subject to vehicle capacity limitation and time constraints. The objective is to efficiently schedule the fleet of vehicles for customer demand so as to reduce costs. This paper presents a complete constraint model and a solution method for solving the problem. For vehicle routing, a permutation constraint is used to impose a total order for visiting all customer locations regardless of different vehicle routes. This provides a global planning over all routes and plays an important role in the solution method. For driver scheduling, set partitioning constraints are used for assigning drivers and vehicles to requests. Based on this constraint model, efficient reactive planning and optimization algorithms are constructed to generate feasible schedules for the problem.</div></front></TEI></record>Pour manipuler ce document sous Unix (Dilib)
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