Improving inbound logistic planning for large-scale real-world routing problems: a novel ant-colony simulation-based optimization

Calabrò, Giovanni; Torrisi, Vincenza; Inturri, Giuseppe; Ignaccolo, Matteo

doi:10.1186/s12544-020-00409-7

Cited by 39 publications

(14 citation statements)

References 22 publications

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“…Straka et al focused on the job sequence problem of transport processes at the rail terminal and used computer simulation system for the solution [24]. Calabro et al presented the first results of an agent-based model aimed at solving a Capacitated Vehicle Routing Problem (CVRP) for IL using a novel Ant Colony Optimization (ACO) algorithm, developed and implemented in the Net Logo multi-agent modeling environment [25].…”

Section: Literature Reviewmentioning

confidence: 99%

A Study of Inbound Logistics Mode Based on JIT Production in Cruise Ship Construction

et al. 2021

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The cruise market has developed rapidly in recent years. The opulence of the cruise market has also augmented the demand for the cruise construction industry. Cruise ship construction is a huge and intricate heavy industry that can cause serious environmental problems. Therefore, optimal use of advanced logistics systems, to meet the demands at the lowest possible cost and unnecessary waste, has become a key issue. This paper developed two typical inbound logistics system modes based on JIT (Just In Time)-logistics policy and formulated two single-objective nonlinear models to simultaneously determine the ordering strategy under the inbound logistics system and the optimal selection strategy of two typical inbound logistics modes. Numerical experiments depicted the variations of optimal inbound logistics mode over three different kinds of cruise parts. These two models could provide insights in making inbound logistics decisions, and serve as a reference in the mass customization logistics service for cruise ship construction to control costs, which is helpful for promoting the sustainability of the cruise market.

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Section: Literature Reviewmentioning

confidence: 99%

A Study of Inbound Logistics Mode Based on JIT Production in Cruise Ship Construction

et al. 2021

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“…However, the model still needs to expand in relation to distance from a loading bay to the recipient. Calabrò et al [26] have developed the agent-based model using a novel ant colony optimization algorithm. The model seeks an optimal set of routes for palletized fruit and vegetables from different farms to the main depot, while minimizing the total distance travelled by trucks.…”

Section: Literature Reviewmentioning

confidence: 99%

Time Efficiency Model for Identification of Development Potentials in Urban Logistics

Karišik¹,

Škerlič²,

Muha³

2021

PROMET

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The aim of this paper is to develop a model for estimating the urban logistics improvements potential based on success factors of intermodal urban transport. There were two aspects considered for building the urban logistics time efficiency model: achieving an improved transport capacity without purchasing new vehicles, and transferring responsibility of poor shipment planning to its owners by implementing the intermodal transport success factors. The model is to establish functional relationship among the shipment distribution requests (urbanization) and urban logistics inefficiencies management (market inconsistencies), and their impact on business operations. The applicability of the proposed model was tested on urban population growth data and time inefficiencies in urban distribution. The results provide both theoretical and practical confirmation of time efficiency importance of urban logistics and potential for introduction of new intermodal solutions in urban logistics. Different case scenarios for Sarajevo prove that reducing inefficiencies in urban logistics could reduce the number of delivery vehicles by less than a half. Since the delivery vehicles are sources of pollution, the subsequent conclusion is valid for externalities levels. The model, therefore, complements the existing knowledge and represents a practical tool for urban planners and logistics professionals for creating an efficient, innovative, and integrative approach to the development of urban logistics services.

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“…Wang et al (2019) used numerical simulation to test the optimization algorithm presented. Calabrò et al (2020) proposed a dynamic Ant Colony Optimization (ACO) algorithm implemented with a multi-agent simulation model to solve a capacity VRP with time window. Considering the variability of the traffic condition and the typical restrictions of the food sector, this paper proposes a two-step methodology for solving the dairy transportation problem and optimizing the milk collection process of a dairy company.…”

Section: Introductionmentioning

confidence: 99%

The milk collection problem with time constraint: an optimization study integrating simulation

Rinaldi¹,

Bottani²,

Solari³

et al. 2020

Proceedings of the International Food Operations and Processing Simulation Workshop

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Transport management and vehicle routing problems play a strong role on a company's efficiency and competitiveness. In the food sector, the complexity of the problem grows because of strict constraints. This paper addresses the dairy transportation problem and in particular tries to optimize the milk collection process of a real company. A two-step approach has been proposed to test the current system and solve the routing problem. First, starting from the "As is" collection tours, a travel salesman problem has been modelled. Later, the Nearest Neighbor algorithm has been implemented in order to find a global optimal solution. Finally, a stochastic simulation model integrates the solutions of the previous step in order to test the feasibility of the outcomes, primarily in terms of their capability to meet the time constraints of the tours. Results show that the greedy approach allows less vehicles to be involved, with a good potential on annual cost saving. On the other hand, the simulation outcomes highlight a borderline case, which is not always in line with the time constraints of the problem.

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Improving inbound logistic planning for large-scale real-world routing problems: a novel ant-colony simulation-based optimization

Cited by 39 publications

References 22 publications

A Study of Inbound Logistics Mode Based on JIT Production in Cruise Ship Construction

A Study of Inbound Logistics Mode Based on JIT Production in Cruise Ship Construction

Time Efficiency Model for Identification of Development Potentials in Urban Logistics

The milk collection problem with time constraint: an optimization study integrating simulation

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