Truck scheduling problems in the cross docking network

Wisittipanich, Warisa; Irohara, Takashi; Hengmeechai, Piya

doi:10.1504/ijlsm.2019.101164

Cited by 12 publications

(5 citation statements)

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“…A numerous surveys (Gu et al, 2007;Maknoon and Baptiste, 2009;Boysen and Fliedner, 2010;Van Belle et al, 2012;Buijs et al, 2014;Guastaroba et al, 2016;Haddad et al, 2018;Schiffer et al, 2019;Cortes and Suzuki, 2020;Esmizadeh and Mellat Parast, 2021) devoted to vehicle routing problems with cross-docking (VRPCD), and articles to study operations management in TDAS (Cohen and Keren, 2009;Darestani and Tahaei, 2015;Ferretti et al, 2018;Goodarzi et al, 2020;Haial et al, 2020;Parker et al, 2016) are examples of this trend. Generally, the scheduling goals include but not limited to the minimisation of tardiness of outbound trucks, earliness of inbound trucks, makespan, and waiting time for trucks to be processed (Rijal et al, 2019;Wisittipanich et al, 2019;Paul and Paul, 2020). This section provides a detailed review is the TDAS under the CDAP studies.…”

Section: Literature Reviewmentioning

confidence: 99%

“…One constraint set which is missing from the model is the scheduling constraint for vehicle arrivals and departure. For forklift utilisation and minimisation of the number of forklifts inside the terminal, we need to assume a truck schedule (Wisittipanich et al, 2019;Paul and Paul, 2020). Without a constraint to enforce this condition, the model's solution can lack a realistic approach.…”

Section: Scheduling Constraint For Trucksmentioning

confidence: 99%

“…An optimum inbound-outbound truck-door assignment and scheduling (TDAS) (Ladier and Alpan, 2016;Wisittipanich et al, 2019;Paul and Paul, 2020) can maximise the throughput or products turnover at CD systems, and reduce the likelihood of late shipments, total processing time or makespan, and inventory level. However, among all performance factors, forklift congestion is the only unfavourable and unavoidable factor that scholars devoted very little attention to, even though most agree that floor congestion in the centre of terminal causes extra movements that impacts the efficiency (Bartholdi and Gue, 2000).…”

Section: Introductionmentioning

confidence: 99%

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An optimisation model to increase the cross-dockings operational utilisation

Ghomi,

Nezami,

Shokoohyar

et al. 2024

IJLSM

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Introducing a new version of a cross-docking assignment problem when forklifts carry bulk materials, we address an operational solution to reduce the impact of forklifts congestion in centre of terminals. We develop a mixed-integer bilinear programming model, a Tabu-search algorithm, where the main objective of the model is still to minimize the total transshipment costs, and additionally trying to minimize the weighted forklifts travelled distance (WTD) and the weighted unloading/loading labour costs at inbound and outbound doors (WLC). We hypothesize that longer WTD could shift the location of weighted forklift congestion concentration from the centre of the terminal toward the sides. We assuming four cost pattern's distributions, all are supposed to lead high flows to doors with low labour costs, which ultimately impact the total WTD, WLC, and TTC. The proposed Tabu-search outperform CPLEX by finding a set of a diverse and high-quality solution within a reasonable computing time.V. Ghomi et al.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Scheduling Constraint For Trucksmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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An optimisation model to increase the cross-dockings operational utilisation

Ghomi,

Nezami,

Shokoohyar

et al. 2024

IJLSM

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“…They also highlighted the importance of synchronization in cross-docking networks and described two real-life illustrative problems. Wisittipanich et al (2019) presented a MIP model of truck scheduling problem in the cross-docking network comprised of multiple cross-dock and emphasized on the importance of synchronisation within this network. They sought to find the optimal truck schedule and product transshipment aiming at minimizing the makespan.…”

Section: Literature Reviewmentioning

confidence: 99%

Dock assignment and truck scheduling problem; consideration of multiple scenarios with resource allocation constraints

Monemi

Gelareh

2023

Computers & Operations Research

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“…Guemri et al [20] researched the cross-docking assignment problem (CDAP), in which the goal is to assign the inbound/outbound trucks to receiving/shipping dock doors to minimize the material 2 Mathematical Problems in Engineering handling cost with respecting the capacity and assignment constraints. Wisittipanich et al [21] paid attention to the integration problem between multiple cross-dockings. ey addressed the novel problem in a cross-docking network and synchronized all inbound/outbound trucks throughout the network to minimize total operational time.…”

Section: Truck Scheduling In a Cross-docking Center Boysen Andmentioning

confidence: 99%

Truck Scheduling for Cross-Docking of Fresh Produce with Repeated Loading

Pan

Fan

et al. 2021

Mathematical Problems in Engineering

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Due to mismanagement of supply chain operations, fresh produce, which deteriorates highly depending on time and operating environment (including temperature and humidity), will suffer huge losses in transit, resulting in substantial monetary losses. Cross-docking, as an efficient logistics operation strategy, has been widely used in fresh produce distribution in the cold supply chain, whereas it has not received adequate attention in the scientific literature. In order to improve the efficiency of fresh produce distribution, this study formulates a novel mixed-integer mathematical formulation model that allows repeated loading of outbound trucks to minimize the total deterioration (TD) of all the fresh produce in the cross-docking center. To solve this problem, an advanced genetic algorithm is proposed based on a constructional mixed chromosome with two parts and three levels. The numerical analyses are conducted on 10 typical instances under different combinations of parameters. Results show that our proposed model based on the repeated loading mode can effectively decrease the total deterioration compared with the traditional nonrepeated loading mode. And this superiority becomes more significant, as the value of truck changeover time and lot loading quantity (called lot size in the text) decrease. In particular, when the truck changeover time equals 0, the total deterioration obtained under repeated loading mode will be more than 31.8% on average smaller than that under nonrepeated loading mode.

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Truck scheduling problems in the cross docking network

Cited by 12 publications

References 0 publications

An optimisation model to increase the cross-dockings operational utilisation

An optimisation model to increase the cross-dockings operational utilisation

Dock assignment and truck scheduling problem; consideration of multiple scenarios with resource allocation constraints

Truck Scheduling for Cross-Docking of Fresh Produce with Repeated Loading

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