Two-stage optimisation method for material flow and allocation management in cross-docking networks

Küçükoğlu, İlker; Öztürk, Nursel

doi:10.1080/00207543.2016.1184346

Cited by 18 publications

(6 citation statements)

References 56 publications

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“…Since storage and internal flow are interconnected (Wollenburg et al , 2018), the existence of mixed routes adds complexity to the material flow, aggravating the analysis of this decision. Some studies in the literature analyze the transport and flow of materials simultaneously in order to reduce transport costs (Kazemi and Szmerekovsky, 2015; Suarez-Barraza et al , 2016; Küçükoğlu and Öztürk, 2017; Li, 2019). Regarding decision d 21 , literature evidence points out that the location of the DC is generally influenced by factors related to transport and vice versa.…”

Section: Resultsmentioning

confidence: 99%

Association between distribution centre design and contextual characteristics

Guimarães

Tortorella

Taboada

et al. 2021

JFM

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Purpose This paper aims to examine the relationship between the main decisions for designing distribution centers (DCs) and the contextual characteristics of the distribution networks. Design/methodology/approach Experts were surveyed and responses analyzed quantitatively through multivariate data techniques. This study considered four contextual characteristics that were deemed as influential for DC design: types of routes in the distribution network, quantity of DCs, distribution network levels and company size. Findings This paper evidenced which decisions are affected by each contextual characteristic encompassed in this study. This paper identified that the characteristic types of route in the distribution network must be carefully considered, as it had the greatest amount of associations with the decisions for designing a DC. Originality/value Despite its importance, most studies on design of DCs disregard the effect of the context in which DCs are inserted. This research provides arguments to support decision-making process of DCs design, increasing assertiveness of their planning. This work fulfills a literature gap by empirically examining the effect of contextual variables on the decisions related to DC design. Regarding practice, this paper addressed a fundamental issue for managers looking to design a DC, as it evidenced how contextual characteristics impact the decision-making.

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Section: Resultsmentioning

confidence: 99%

Association between distribution centre design and contextual characteristics

Guimarães

Tortorella

Taboada

et al. 2021

JFM

View full text Add to dashboard Cite

show abstract

“…Multiple suppliers (Goodarzi et al, 2020) and echelons (De et al, 2020) are considered in the previous studies; however, a limited number of scholars embedded the cross-dock and multi-period features in their developed model (e.g., Chen et al, 2016, Küçükoğlu and Öztürk 2017, Rezaei and Kheirkhah 2017. Several scholars worked on vehicle routing and scheduling at the cross-docking facility.…”

Section: Research Gapsmentioning

confidence: 99%

Designing a sustainable freight transportation network with cross-docks

Mogale

Ghadge

et al. 2022

International Journal of Production Research

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This study aims to develop a sustainable freight transportation network considering capacitated cross-docks for minimising the overall supply chain costs, including carbon emission cost. The problem is inspired by a major retail company based in India, which would like to expand its product portfolio in the new region. A mathematical model is developed to minimise total costs encompassing transportation cost, pipeline and retailers inventory cost, fixed cost of cross-dock and carbon emission costs. The deterministic time dependant demand, multiple products and multiple sourcing and distribution are some of the challenges faced by the retail industry. A twolevel self-adaptive variable neighbourhood search algorithm is applied to solve a computationally complex problem. The results based on a two-level self-adaptive variable neighbourhood search algorithm are compared with the variable neighbourhood search algorithm to test the robustness of the developed model. Results reveal that an increase in retailers over suppliers significantly influences the number of open cross-docks. A multiple-case scenario approach captures the implications of varying capacity on the number of open cross-docks; thus, supporting the freight distribution managers in making sustainability-driven decisions.

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“…The limitation (14) means that the total number of all freight flows should not exceed the number of vehicles serving them.…”

Section: Optimization Algorithm the First Stagementioning

confidence: 99%

“…One such study presents a new two-stage mixed integer linear mathematical model for the transport problem of cross-dock network design, which is integrated with different freight flows and aims to minimize overall transportation costs from suppliers to customers. This model also takes into account the entry-exit plans of trucks in transport hubs and the distribution of cargo flows in the cross-docking area in the presence of physical constraints [14]. However, such a model is too complex to obtain exact solutions by deterministic methods.…”

Section: Introductionmentioning

confidence: 99%

Cross-docking cargo delivery routing for guaranteed minimum period

Oliskevych¹,

Danchuk²,

Mastykash³

2022

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The article is devoted to the problem of effective use of cross-docking as a technology of cargo delivery with increased time requirements, which allows to resolve the contradictions of guaranteed delivery time ensuring and the efficiency of the existing fleet of trucks. The process of delivery organization is considered as the ordering on the transport network of many discrete freight flows in the form of their phases. If qualitative and / or quantitative changes do not occur from phase to phase with the flow, then the tact of such flow is constant. However, cross-docking flows change the size of the band of moving goods. Cargo can be moved as intended by any group size, which, however, is limited by the maximum and minimum values. A two-stage algorithm for solving the problem has been developed. The transport network is represented as a graph. The content of the route search problem is optimization, as it consists of multiple selections from the initial graph of arcs in the presence of restrictions on input and output flows. One needs to replace every each edge of the graph with an arc of the forward or reverse direction, or remove this edge. The criterion for the optimal solution of the problem, which is applied, is the minimum guaranteed duration of delivery of goods throughout the set of specified freight flows. At the first stage of the algorithm, the search for the shortest paths in the graph is performed, along which every given cargo flow can pass. The first stage of optimization is a linear problem of integer programming, the dimension of which is not too large. The initial data of the second stage is freight flows matrix, which is obtained as a result of optimization in the first stage. The content of the second stage of the algorithm is the solution of the equation of the balance of discrete goods flows. The balance equation means that all flows entering each peak including the sources of cargo flows of this peak have an average intensity equal to the intensity of the outgoing cargo flows from each source peak, including runoff. Due to the studied dependencies between the individual phases of the delivery process on the example of a cargo carrier on the transport network of Ukraine, the formulated restrictions and boundary conditions, the possibility of guaranteed accurate solution of a complex problem is obtained. At the same time, the shortest routes were found, reloading points were identified as well as time parameters of operation and the degree of loading of cars. According to the results of the research, a threefold increase in the productivity of the fleet of road trains with a reduction in the guaranteed delivery time by 30%.

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Two-stage optimisation method for material flow and allocation management in cross-docking networks

Cited by 18 publications

References 56 publications

Association between distribution centre design and contextual characteristics

Association between distribution centre design and contextual characteristics

Designing a sustainable freight transportation network with cross-docks

Cross-docking cargo delivery routing for guaranteed minimum period

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