References of "Pironet, Thierry"
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See detailMulti-period vehicle loading with stochastic release dates
Arda, Yasemin ULg; Crama, Yves ULg; Kronus, David ULg et al

in EURO Journal on Transportation and Logistics (in press)

This paper investigates a multi-period vehicle loading problem with stochastic information regarding the release dates of items to be transported. The deterministic version of the problem can be ... [more ▼]

This paper investigates a multi-period vehicle loading problem with stochastic information regarding the release dates of items to be transported. The deterministic version of the problem can be formulated as a large-scale set covering problem. Several heuristic algorithms are proposed to generate decision policies for the stochastic optimization model over a long rolling horizon. The resulting policies have been extensively tested on instances which display the main characteristics of the industrial case-study that motivated the research. The tests demonstrate the benefits of the multi-period stochastic model over simple myopic strategies. A simple and efficient heuristic is shown to deliver good policies and to be robust against errors in the estimation of the probability distribution of the release dates. [less ▲]

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See detailMulti-period load assignment problem with stochastic load availability
Crama, Yves ULg; Pironet, Thierry ULg

E-print/Working paper (2013)

In this research, we want to investigate optimization techniques for a generic load assignment problem including a limited fleet of vehicles within a full-truck-load (FTL) multi-period setting including ... [more ▼]

In this research, we want to investigate optimization techniques for a generic load assignment problem including a limited fleet of vehicles within a full-truck-load (FTL) multi-period setting including forecasts on load availability. Several policies are generated from simple heuristics through state of the art approaches such as consensus and restricted expectation algorithms up to the optimization of a subtree of scenarios. Moreover, myopic and a-posteriori deterministic optimizations (including no or fully revealed information) set bounds for policies performance comparisons. Tests are performed for different graphs sizes and sparsity, several distribution laws and number of loads. Performances are compared statistically over paired samples. The robustness of performing policies against a false valuation of the probability distribution is also analyzed. [less ▲]

Detailed reference viewed: 31 (6 ULg)
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Peer Reviewed
See detailMultiperiod vehicle loading with stochastic release dates
Arda, Yasemin ULg; Crama, Yves ULg; Kronus, David ULg et al

Conference (2012, May 24)

Production scheduling and vehicle routing problems are well-known topics in operations management. Although these tasks are consecutive in the supply chain, few optimization models tackle the associated ... [more ▼]

Production scheduling and vehicle routing problems are well-known topics in operations management. Although these tasks are consecutive in the supply chain, few optimization models tackle the associated issues. A most common situation, in practice, is actually that transportation management is disconnected from production planning: when production items or batches have been completely processed by the manufacturing plant, they become available for shipping, and they are consequently handled by the transportation managers. From a global managerial perspective, and with a view towards coordination of the product flows and customer satisfaction, this is not an ideal process. It is by far preferable, indeed, to set up an integrated production-transportation plan taking into account, among other constraints, the capacity of the plants and the customer due-dates. The present research proposes a methodology to investigate a multi-period vehicle loading problem with deterministic or stochastic information concerning items arrivals from production. Results from related optimization techniques are statistically compared and the benefits of the multi-period and stochastic modeling is demonstrated. Finally, an efficient heuristic is highlighted and is shown to be robust to the deviation from item arrival forecasts. [less ▲]

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See detailARCELOR
Pironet, Thierry ULg

Conference given outside the academic context (2011)

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See detailMultiperiod vehicle loading optimization with stochastic supply
Amand, Guillaume ULg; Arda, Yasemin ULg; Crama, Yves ULg et al

Scientific conference (2011, April 07)

Detailed reference viewed: 15 (6 ULg)
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See detailVehicle loading optimization with stochastic supply
Amand, Guillaume ULg; Arda, Yasemin ULg; Crama, Yves ULg et al

Conference (2010, January 29)

Detailed reference viewed: 19 (5 ULg)
See detailRAPPORT DE RECHERCHE SUR UNE APPLICATION DE GESTION DE LA COLLABORATION DU SERVICE EXPÉDITION DU CHARGEUR AVEC LE TRANSPORTEUR
Pironet, Thierry ULg; Crama, Yves ULg; Arda, Yasemin ULg et al

Report (2009)

Dans ce rapport, les échanges d'information d'un donneur d'ordre, d'un transporteur et d'un fournisseur au sein d'une chaîne de distribution sont analysés. Les possibilités de tracking et de tracing de ... [more ▼]

Dans ce rapport, les échanges d'information d'un donneur d'ordre, d'un transporteur et d'un fournisseur au sein d'une chaîne de distribution sont analysés. Les possibilités de tracking et de tracing de TransLogisTIC sont utilisés pour générer des KPI de performance et un modèle d'optimisation de quais de chargement est décrit dans une version Off-line et On-line. [less ▲]

Detailed reference viewed: 146 (31 ULg)
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See detailVehicle loading optimization with stochastic supply
Amand, Guillaume ULg; Arda, Yasemin ULg; Crama, Yves ULg et al

Conference (2009, July 07)

The increased availability of information makes it possible to coordinate processes which are usually functionnally separated in large companies, such as production and transportation. This work ... [more ▼]

The increased availability of information makes it possible to coordinate processes which are usually functionnally separated in large companies, such as production and transportation. This work investigates the optimization of vehicle loading for individual orders over a multiperiod horizon when items have stochastic release dates from production, and time windows are imposed for delivery at the customer plant. The loading decisions are made in order to minimize the expected cost. Starting from the deterministic model, we develop scenario-based models for the stochastic version of the problem and we investigate the performance of various solution methods. [less ▲]

Detailed reference viewed: 26 (9 ULg)
See detailRAPPORT INTERNE : REVUE DE LITTERATURE SUR LA GESTION DES RESSOURCES RÉUTILISABLES ET DES MÉTHODES D’OPTIMISATION
Pironet, Thierry ULg; Crama, Yves ULg; Arda, Yasemin ULg et al

Report (2009)

Dans cette revue de la littérature scientifique, on peut trouver une synthèse des thématiques liées aux modèles et aux techniques d'optimisation utilés pour la gestion de ressources réutilisables dans un ... [more ▼]

Dans cette revue de la littérature scientifique, on peut trouver une synthèse des thématiques liées aux modèles et aux techniques d'optimisation utilés pour la gestion de ressources réutilisables dans un réseau tels que les containers entre des ports de mers ou des wagons dans un réseau ferroviaire. Les textes fondateurs sont mentionnés dans un ordre historique et un commentaire est fait soit sur le modèle investiqué et ses particularités ou la technique de résolution. [less ▲]

Detailed reference viewed: 88 (9 ULg)
See detailRAPPORT DE RECHERCHE SUR L’OPTIMISATION DU ROUTAGE ET DU CHARGEMENT DE VEHICULES.
Pironet, Thierry ULg; Crama, Yves ULg; Arda, Yasemin ULg et al

Report (2009)

Dans ce rapport confidentiel, un algorithme d'optimisation du chargement de véhicules a été mis au point dans le cadre d'une application avec un partenaire industriel.

Detailed reference viewed: 92 (9 ULg)
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Peer Reviewed
See detailUn problème de chargement/déchargement profitable d'une flotte de véhicules soumise à des fenêtres de temps
Arda, Yasemin ULg; Crama, Yves ULg; Pironet, Thierry ULg

Conference (2008, February 26)

In most pickup and delivery problems, usually the aim is to minimize either the trip length or duration or the fleet size. Transportation orders or customers are finite sets which should be performed or ... [more ▼]

In most pickup and delivery problems, usually the aim is to minimize either the trip length or duration or the fleet size. Transportation orders or customers are finite sets which should be performed or visited integraly. So, the total earning is supposed to be constant. Conversely, the costs related to trip length or duration or either to the fleet size are consequences of the operations management efficiency. Therefore, typically the objective function is reduced to a cost minimization. On the contrary, this model tends to maximize the global profit. Let’s consider a fleet of vehicles starting at different initial times from different locations and oblige to return to their final depots before fixed maximal times. On their way-back, these vehicles are performing full-truck-load transportation between pickup and delivery points and have to respect time windows for the loading and unloading operations. Realized transportation orders add positive contributions while linking paths generate costs. In summary, the goal for the fleet resides in the selection of transportations orders among available ones while fullfilling the final time requirements and the time restrictions for the un/loading operations. [less ▲]

Detailed reference viewed: 153 (30 ULg)
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Peer Reviewed
See detailA profitable pickup and delivery problem with time windows
Arda, Yasemin ULg; Crama, Yves ULg; Pironet, Thierry ULg

Conference (2008, January 18)

In most pickup and delivery problems, usually the aim is to minimize either the trip length or duration or the fleet size. Transportation orders or customers are finite sets which should be performed or ... [more ▼]

In most pickup and delivery problems, usually the aim is to minimize either the trip length or duration or the fleet size. Transportation orders or customers are finite sets which should be performed or visited integraly. So, the total earning is supposed to be constant. Conversely, the costs related to trip length or duration or either to the fleet size are consequences of the operations management efficiency. Therefore, typically the objective function is reduced to a cost minimization. On the contrary, this model tends to maximize the global profit. Let’s consider a fleet of vehicles starting at different initial times from different locations and oblige to return to their final depots before fixed maximal times. On their way-back, these vehicles are performing full-truck-load transportation between pickup and delivery points and have to respect time windows for the loading and unloading operations. Realized transportation orders add positive contributions while linking paths generate costs. In summary, the goal for the fleet resides in the selection of transportations orders among available ones while fullfilling the final time requirements and the time restrictions for the un/loading operations. [less ▲]

Detailed reference viewed: 274 (24 ULg)