A bounded dynamic programming approach to schedule operations in a cross docking platform

Alpan, Gülgün; Larbi, Rim; Penz, Bernard

doi:10.1016/j.cie.2010.08.012

Cited by 63 publications

(22 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…With a similar cross-dock setting, Larbi et al (2011) investigate the value of information about the content of receiving trucks on transshipment workload. Maknoon et al (2014) and Alpan et al (2011) extend the problem for a cross-dock setting with one inbound door and multiple outbound doors. Alpan et al (2011) present a model by restricting the transshipment decision.…”

Section: Literature Reviewmentioning

confidence: 98%

See 1 more Smart Citation

Optimizing transshipment workloads in less-than-truckload cross-docks

Maknoon

Soumis

Baptiste

2016

International Journal of Production Economics

View full text Add to dashboard Cite

Section: Literature Reviewmentioning

confidence: 98%

“…Maknoon et al (2014) and Alpan et al (2011) extend the problem for a cross-dock setting with one inbound door and multiple outbound doors. Alpan et al (2011) present a model by restricting the transshipment decision. In their study, products are transferred based on the First-Come-First-Served (FCFS) rule.…”

Section: Literature Reviewmentioning

confidence: 98%

Optimizing transshipment workloads in less-than-truckload cross-docks

Maknoon

Soumis

Baptiste

2016

International Journal of Production Economics

View full text Add to dashboard Cite

“…This process leads to the minimum value of d, as required in (4). This procedure has shown to be a simple, but a robust approximate heuristic for the assignment of dock doors.…”

Section: Door Assignmentmentioning

confidence: 99%

An Approximate Cost-Integrated Modelling Approach to Cross Dock Design

2017

View full text Add to dashboard Cite

ABSTRACT.Cross docking is a form of operating break-bulk freight terminals in which the receiving products are not stocked but, instead, the incoming cargo is internally transferred to be immediately shipped in distribution trucks. With this approach, inventory costs and lead-times are significantly reduced. In this work, an approximate, continuous, non-stationary queueing model is established to estimate the number of cargo discharging doors in the receiving dock. Since the traditional first-come, first-served queueing discipline is not applicable to this specific problem, an alternative formulation, called least-distance, firstserved queue discipline, is adopted and analysed with a simulation approach. The problem is modelled to support a preliminary design of a cross-dock terminal. The objective function, to be minimized, is the sum of the rent cost of the terminal facility, the waiting cost of inbound trailers when being attended at the terminal, and the cost of handling and moving freight inside the terminal.

show abstract

“…Some authors have studied cross-docking as a network and considered cross-docks in a supply chain system that cross-docks location and customer allocations are decision variables (Jayaraman and Ross 2003;Mousavi et al 2014;Ross and Jayaraman 2008;Seyedhoseini et al 2015). In addition, most of the papers related to the operational decisions focused on the trucks scheduling in cross-docking system (Alpan et al 2011;Arabani et al 2011;Donaldson et al 1998b;Gholami et al 2015;Konur and Golias 2013a, b;Kuo 2013;Liao et al 2014Liao et al , 2013Mohtashami 2015;Soltani and Sadjadi 2010;Vahdani and Zandieh 2010;Yu and Egbelu 2008). In addition, in the cross-docking literature, a few number of researches considered both vehicle routing and cross-docking together.…”

Section: Literature Reviewmentioning

confidence: 99%

Two phase genetic algorithm for vehicle routing and scheduling problem with cross-docking and time windows considering customer satisfaction

2017

View full text Add to dashboard Cite

Cross-docking is a new warehousing policy in logistics which is widely used all over the world and attracts many researchers attention to study about in last decade. In the literature, economic aspects has been often studied, while one of the most significant factors for being successful in the competitive global market is improving quality of customer servicing and focusing on customer satisfaction. In this paper, we introduce a vehicle routing and scheduling problem with cross-docking and time windows in a three-echelon supply chain that considers customer satisfaction. A set of homogeneous vehicles collect products from suppliers and after consolidation process in the cross-dock, immediately deliver them to customers. A mixed integer linear programming model is presented for this problem to minimize transportation cost and early/tardy deliveries with scheduling of inbound and outbound vehicles to increase customer satisfaction. A two phase genetic algorithm (GA) is developed for the problem. For investigating the performance of the algorithm, it was compared with exact and lower bound solutions in small and large-size instances, respectively. Results show that there are at least 86.6% customer satisfaction by the proposed method, whereas customer satisfaction in the classical model is at most 33.3%. Numerical examples results show that the proposed two phase algorithm could achieve optimal solutions in small-size instances. Also in large-size instances, the proposed two phase algorithm could achieve better solutions with less gap from the lower bound in less computational time in comparison with the classic GA.

show abstract

A bounded dynamic programming approach to schedule operations in a cross docking platform

Cited by 63 publications

References 15 publications

Optimizing transshipment workloads in less-than-truckload cross-docks

Optimizing transshipment workloads in less-than-truckload cross-docks

An Approximate Cost-Integrated Modelling Approach to Cross Dock Design

Two phase genetic algorithm for vehicle routing and scheduling problem with cross-docking and time windows considering customer satisfaction

Contact Info

Product

Resources

About