Towards designing and operating physical internet cross-docks: Problem specifications and research perspectives

Chargui, Tarik; Ladier, Anne-Laure; Bekrar, Abdelghani; Pan, Shenle; Trentesaux, Damien

doi:10.1016/j.omega.2022.102641

Cited by 10 publications

(4 citation statements)

References 37 publications

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“…In order to achieve the sustainability of logistics systems, a new paradigm of PI (physical internet) was defined [24]. The notion of the PI paradigm arose as an aspiration to change the classical methods in which physical objects are moved, stored, acquired and used, into a method which will function and be connected as computers are connected via the internet [26]. The primary objective of introducing the PI paradigm is the reorganization of the existing method of supply in an economically, environmentally and socially acceptable method.…”

Section: Cross -Docking Terminalsmentioning

confidence: 99%

Cross-docking concept: Role, advantages and disadvantages

Tadić,

Mićić,

Krstić

2023

Tehnika

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Market needs and demands are contingent upon continuous work on finding better, faster, more efficient and more economic systems of goods flow. The intention is to optimize the logistic processes along the supply chain in terms of achieving economic, temporal, spatial and environmental improvements. One of the possible methods to improve the efficiency of supply chains is the introduction of the cross-docking (CD) concept. The essence of the CD concept is reflected in the consolidation of goods flows into the CD terminals with little or no storage of goods. The objective is to achieve optimization of time, space and costs. This paper presents the role of the CD concept in logistics chains, description of the CD terminals, and then the advantages and disadvantages of their application. The primary objective of this paper is to present the role, advantages and disadvantages of implementing the CD concept in logistics chains

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Section: Cross -Docking Terminalsmentioning

confidence: 99%

Cross-docking concept: Role, advantages and disadvantages

Tadić,

Mićić,

Krstić

2023

Tehnika

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“…Over the years, it has refurbished its approach with the introduction of the newest strategies like cross docking, collaboration on transportation, etc. Cross docks' optimization problems in the context of physical internet or PI were introduced by Chargui et al [36]. They talked about how this present concept of cross docking has revised the traditional cross-docking methods and changed the way cross-docking platforms were typically designed, managed, and optimized.…”

Section: Logisticsmentioning

confidence: 99%

Pallet Distribution Affecting a Machine’s Utilization Level and Picking Time

et al. 2023

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Space and labor are the two internal resources within a warehouse or cross-dock center which seek attention. Meaningful efforts in optimizing these two resources can reduce the operational cost or time of the goods delivery. The timely allocation of resources to order picking not only reduces the makespan and operational time but can also evade delay. In decentralized settings, where all the information is not properly shared between the players of the supply chain, miscommunication results in delays in product delivery. In this study, efforts were made to determine the pallet quantity of different product types in an order quantify when there is a gap in information shared and, based on that, the allocation of material handling devices or pickers was conducted. Each handling device is bounded by a workload to eliminate the option of idle resources and ensure it is utilized properly. A mixed integer linear programming model was formulated for this study and was solved using Lingo. Numerical experiments were performed under varying resource numbers and pallet quantities to investigate the circumstances where the number of pallet types and allocation of machines have the highest benefit. The results confirm that a change in the pallet quantity of the products increases the total picking time. However, an increase in the number of handling devices minimizes the level of over-utilization of a particular machine.

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“…Cross-dock is a common logistics method used in transportation platforms to synchronize incoming and outgoing trucks to avoid holding up space between docks. This action plays an important role in accelerating the transportation flow (Chargui et al , 2022; Basar et al , 2018). It should be mentioned that cargo transportation at cross-dock terminals is a complex planning task including several activities such as unloading cargo delivered by inbound truck, sorting according to the designated destination and loading onto outbound truck.…”

Section: Introductionmentioning

confidence: 99%

A multi-objective optimization model of truck scheduling problem using cross-dock in supply chain management: NSGA-II and NRGA

Haghgoei,

Irajpour,

Hamidi

2024

JM2

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Purpose This paper aims to develop a multi-objective problem for scheduling the operations of trucks entering and exiting cross-docks where the number of unloaded or loaded products by trucks is fuzzy logistic. The first objective function minimizes the maximum time to receive the products. The second objective function minimizes the emission cost of trucks. Finally, the third objective function minimizes the number of trucks assigned to the entrance and exit doors. Design/methodology/approach Two steps are implemented to validate and modify the proposed model. In the first step, two random numerical examples in small dimensions were solved by GAMS software with min-max objective function as well as genetic algorithms (GA) and particle swarm optimization. In the second step, due to the increasing dimensions of the problem and computational complexity, the problem in question is part of the NP-Hard problem, and therefore multi-objective meta-heuristic algorithms are used along with validation and parameter adjustment. Findings Therefore, non-dominated sorting genetic algorithm (NSGA-II) and non-dominated ranking genetic algorithm (NRGA) are used to solve 30 random problems in high dimensions. Then, the algorithms were ranked using the TOPSIS method for each problem according to the results obtained from the evaluation criteria. The analysis of the results confirms the applicability of the proposed model and solution methods. Originality/value This paper proposes mathematical model of truck scheduling for a real problem, including cross-docks that play an essential role in supply chains, as they could reduce order delivery time, inventory holding costs and shipping costs. To solve the proposed multi-objective mathematical model, as the problem is NP-hard, multi-objective meta-heuristic algorithms are used along with validation and parameter adjustment. Therefore, NSGA-II and NRGA are used to solve 30 random problems in high dimensions.

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Towards designing and operating physical internet cross-docks: Problem specifications and research perspectives

Cited by 10 publications

References 37 publications

Cross-docking concept: Role, advantages and disadvantages

Cross-docking concept: Role, advantages and disadvantages

Pallet Distribution Affecting a Machine’s Utilization Level and Picking Time

A multi-objective optimization model of truck scheduling problem using cross-dock in supply chain management: NSGA-II and NRGA

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