Matheuristics for the Design of a Multi-Step, Multi-Product Supply Chain with Multimodal Transport

Ruvalcaba-Sandoval, David A.; Olivares-Benítez, Elìas; Rojas, Omar; Sosa-Gómez, Guillermo

doi:10.3390/app112110251

Cited by 3 publications

(3 citation statements)

References 22 publications

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“…In recent years, academics have closely aligned supply chain network design with the 2030 Agenda for Sustainable Development strategy released by the United Nations to achieve balanced economic, environmental and social development [ 11 ]. While the design of the supply chain is a complex task, the problem is solved by building a mixed integer linear model [ 12 ].…”

Section: Literature Reviewmentioning

confidence: 99%

“…them, the constraints ( 10)- (11) are to ensure that the number of products produced by the factory is equal to the total number of products shipped to the distribution point, and the transportation volume from the factory and from the distribution point is equal. Constraint (12) ensures that the market's distribution volume to the recycling center is equal to the recycling rate multiplied by the number of products on the market. For the recycling rate, as mentioned in assumption (6), the recycling rate is known.…”

Section: Plos Onementioning

confidence: 99%

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Multi-objective sustainable supply chain network optimization based on chaotic particle—Ant colony algorithm

et al. 2023

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For the optimal design of the sustainable supply chain network, considering the comprehensiveness of the problem factors, considering the three aspects of economy, environment and society, the goal is to minimize the establishment cost, minimize the emission of environ-mental pollution and maximize the number of labor. A mixed integer programming model is established to maximize the efficiency of the supply chain network. The innovation of this paper, first, is to consider the impact of economic, environmental and social benefits in a continuous supply chain, where the environmental benefits not only consider carbon emissions but also include the emissions of plant wastewater, waste and solid waste as influencing factors. Second, a multi-objective fuzzy affiliation function is constructed to measure the quality of the model solution in terms of the overall satisfaction value. Finally, the chaotic particle ant colony algorithm is proposed, and the problem of premature convergence in the operation of the particle swarm algorithm is solved. Experimental results show that the PSCACO algorithm proposed in this paper is compared with MOPSO, CACO and NSGA-II algorithms, and the convergence effect of the algorithm is concluded to be more effective to verify the effectiveness and feasibility of chaotic particle ant colony algorithm for solving multi-objective functions, which proposes a new feasible solution for the supply chain management.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Plos Onementioning

confidence: 99%

Multi-objective sustainable supply chain network optimization based on chaotic particle—Ant colony algorithm

et al. 2023

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“…The objective is to effectively manage operations at inland waterway ports while minimizing the overall cost of the supply chain. This involved various strategic decisions, such as the tripwise assignment of towboats and barges, along with midterm supply chain considerations like inventory management [30].…”

Section: Optimal Decisions In Inland Shippingmentioning

confidence: 99%

Optimal Sailing Speeds and Time Windows in Inland Water Transportation Operations Management: Mathematical Models and Applications

Wang,

Liu,

Jin

et al. 2023

Mathematics

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Inland waterway transportation plays a pivotal role in advancing economic development and nurturing sustainable progress. It serves as a vital conduit linking communities, industries, and markets, thereby facilitating the seamless flow of essential commodities and fostering regional integration. However, in today’s era, marked by a resolute commitment to environmental responsibility and sustainability, inland shipping confronts formidable challenges, particularly pertaining to emission pollution and the escalating costs of fuel. These challenges represent significant impediments to the pursuit of environmentally conscious and sustainable growth by shipping companies. This research endeavor is geared towards the creation of a mathematical model that takes into account various factors, including the types of waterways, temporal constraints, and punctual arrival at the port of discharge. The primary objective is to empower shipping companies to make informed decisions about optimal sailing speeds and the most opportune time windows for entering one-way waterway segments. This, in turn, leads to reductions in fuel costs and waiting times for shipping companies, all while achieving cost minimization and mitigating emissions issues in inland waterway transportation. Ultimately, this research advances the cause of green and sustainable development in the inland waterway shipping sector. Specifically, this study focuses on routes that involve the dynamic transition between one-way and two-way segments. To accomplish this, an integer programming (IP) model is proposed to meticulously analyze the ideal sailing speed for each segment of the route and determine the optimal windows for accessing single-direction channels, thus representing a multistage decision-making process. Meanwhile, the model’s reliability is substantiated through a rigorous comparative assessment against three benchmark strategies (EAS, LAS, and MAS). In our experiments, the optimization model yielded a total cost for the entire inland waterway amounting to $80,626.20. This figure stands below the total costs of $87,118.14 under the EAS strategy and $83,494.70 under the MAS strategy (the LAS strategy failed to meet the port of discharge deadline), thereby conclusively validating its ability to guide vessels to their port of discharge within prescribed schedules, all while reducing overall operational costs and promoting sustainable and environmentally responsible practices.

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A multi‐objective sustainable closed‐loop supply chain network problem with hybrid facilities

Rodríguez‐Escoto,

Olivares‐Benitez,

Nucamendi‐Guillén

et al. 2024

Int Trans Operational Res

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A sustainable closed‐loop supply chain network requires conjunctive implementation of reverse logistics in the supply chain, with decisions that consider economic, environmental, and social factors. In real life, the problem needs to be addressed by prioritizing targets or interacting between them to give a range of solutions to the decision maker. In this context, this work proposes a novel multi‐objective sustainable closed‐loop supply chain network problem based on the revised network design model with hybrid recovery centers minimizing (1) the total economic cost, (2) the CO2 emission of vehicles used, and (3) the total obnoxious distance. The latter objective is a novel implementation of the social dimension of a sustainable model. A sensitivity analysis of the multi‐objective model is developed through ANOVA. A dataset of instances was generated to test the model and the solution methods, which are configured with AUGMECON2, a linear programming relaxation implemented to improve the CPU time, and AUGMECON2‐EXTENDED to obtain more solutions to avoid exploring all space of the solution. The results show that an AUGMECON2‐EXTENDED implementation outperforms all the selected performance metrics. These performance metrics include NPS, CPU time, RPOS, QM, and HV. The results show an improvement on average of at least , , , , and , respectively, in those metrics, in comparison to other implementations.

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Matheuristics for the Design of a Multi-Step, Multi-Product Supply Chain with Multimodal Transport

Cited by 3 publications

References 22 publications

Multi-objective sustainable supply chain network optimization based on chaotic particle—Ant colony algorithm

Multi-objective sustainable supply chain network optimization based on chaotic particle—Ant colony algorithm

Optimal Sailing Speeds and Time Windows in Inland Water Transportation Operations Management: Mathematical Models and Applications

A multi‐objective sustainable closed‐loop supply chain network problem with hybrid facilities

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