A new metaheuristic approach for the meat routing problem by considering heterogeneous fleet with time windows

Riaño, Hernando Barreto; Escobar, John Willmer; Clavijo-Buriticá, Nicolás

doi:10.5267/j.ijiec.2022.5.001

Cited by 5 publications

(3 citation statements)

References 1 publication

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“…Metaheuristic algorithms based on granular search space for similar routing problems could be implemented for phase 2, as proposed by Ref. [ [33] , [34] , [35] , [36] , [37] , [38] , [39] , [40] ]. Finally, population-based algorithms could be used in phase 2, generating multiple solutions in phase 1, such as proposed for similar problems by Santa Chávez et al [ 41 ], Chávez et al [ 42 ], Bolanos et al [ 43 ], Escobar-Falcón et al [ 44 ] and Londoño et al [ 45 ].…”

Section: Discussionmentioning

confidence: 99%

A three-phase algorithm for the pollution traveling Salesman problem

García-Vasquez,

Linfati,

Escobar

2024

Heliyon

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Section: Discussionmentioning

confidence: 99%

A three-phase algorithm for the pollution traveling Salesman problem

García-Vasquez,

Linfati,

Escobar

2024

Heliyon

Self Cite

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“…Besides, developing a stochastic solution of the proposed model using Sample Average Approximation (SAA) (Escobar et al 2013b ; Mafia and Escobar, 2015 ; Paz et al 2015 ; Rodado et al 2017 , Vélez et al 2021 ) would be considered. Finally, heuristic or metaheuristic based on granular search (Escobar and Linfati 2012 ; Escobar et al 2013a ; Escobar et al 2014a ; Escobar et al 2014b ; Puenayán et al 2014 ; Bernal et al 2017 ; Bernal et al 2018 ; Bernal et al 2021 ; Escobar 2022 and Riaño et al 2022 ) for solving large size instances could be considered.…”

Section: Concluding Remarks and Future Workmentioning

confidence: 99%

Two-stage optimization scheme of routing scheduling from a single distribution center to multiple customers

2023

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This paper proposes a solution scheme for the problem of scheduling deliveries from distribution centers. The solution scheme is developed in two phases. The first phase corresponds to the collection and processing of data, and the second phase includes the design of a customer assignment model based on the data of the first phase. The first phase provides the characteristics of the customers, the number of orders to be dispatched, and the number of visited customers. In the second phase, optimization techniques are used, considering scheduling and assignment problem-solving methodologies. The optimization model provides the correct assignment of customer orders to vehicles, reducing the number of trips and the fleet's size and occupation percentage. The proposed solution scheme is developed with a company operating a distribution center responsible for dispatching vehicles to all retail customers, wholesalers, and distributors in the Province of Concepción, Province of Arauco, and Province of Itata in Chile. The obtained results are prominent and show that the proposed methodology can be extended to companies performing storage, transportation, and distribution tasks with similar characteristics.

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“…Lastly, the study offers a numerical demonstration and sensitivity analyses for the research results. Additional works (Nachiappan et al, 2008;Singh and Singh, 2013;Chiu et al, 2021;Di Nardo et al, 2021;Uzen et al, 2021;Aljumah et al, 2022;Chiu et al, 2022b;Comert et al, 2022;Lin et al, 2022b;Riaño et al, 2022;Seçkin and Seçkin, 2022) studied various random faulty goods produced and quality assurance actions, and shipping policies influence fabricating systems and supply chains' operations and management. Few earlier works examined the collective/individual impact of scraps, subcontracting strategy, rework, and postponement on the multiproduct replenishingtransportation decisions; we intend to fill the gap.…”

Section: Introductionmentioning

confidence: 99%

Replenishment-shipment decision for a multiproduct producer-client coordinated FPR model with postponement, rework and subcontracting

Chiu¹,

Yan²,

Wang³

et al. 2023

10.5267/j.uscm

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This research constructs a mathematical scheme to explore replenishment-shipment decisions for a multiproduct producer-client coordinated finite production rate (FPR) model with the postponement, rework, and subcontracting plan. The considered multiple goods have a common component, and a batch FPR fabrication with postponement is planned to meet the annual multiproduct requirements. The first fabricating phase makes only the standard components needed for a batch and subcontracts a proportion of them (with additional cost) to expedite the process. In contrast, the second fabricating phase produces the finished multiple merchandise in sequence. The in-house rework processes with extra expense help retain the desirable quality. Each merchandise’s finished batch is transported to the clients in equal-sized numerous shipments. This study derives the optimal batch cycle length and transporting frequency by minimizing the overall fabricating-shipment expenses (including clients’ holding costs). This work offers a numerical example demonstrating various crucial system features influenced by the factors of subcontracting, postponement, rework, and transportation policies to facilitate managerial decision making in industries.

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A new metaheuristic approach for the meat routing problem by considering heterogeneous fleet with time windows

Cited by 5 publications

References 1 publication

A three-phase algorithm for the pollution traveling Salesman problem

A three-phase algorithm for the pollution traveling Salesman problem

Two-stage optimization scheme of routing scheduling from a single distribution center to multiple customers

Replenishment-shipment decision for a multiproduct producer-client coordinated FPR model with postponement, rework and subcontracting

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