A transformation technique for the clustered generalized traveling salesman problem with applications to logistics

Baniasadi, Pouya; Foumani, Mehdi; Smith‐Miles, Kate; Ejov, Vladimir

doi:10.1016/j.ejor.2020.01.053

Cited by 102 publications

(60 citation statements)

References 48 publications

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“…The implementation of VCo or IMDMM in practice is aligned with the field of robots. References like (Neil et al 2008;Foumani et al 2015Foumani et al , 2018Baniasadi et al 2020) are examples of similar studies in different environments. They all describe the same function studied in this research, IT tools, robots in this case, that help managers to face scheduling challenges, it means, once the sequence of the process to be conducted is well known (PO), software and robots together (VCo) perform all the tasks.…”

Section: Virtual Counterpartmentioning

confidence: 97%

A digital twins concept model for integrated maintenance: a case study for crane operation

Szpytko

Duarte

2020

J Intell Manuf

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The paper presents an Integrated Maintenance Decision Making Model (IMDMM) concept for cranes under operation especially into the container type terminals. The target is to improve cranes operational efficiency through minimizing the risk of the Gantry Cranes Inefficiency (GCI) results based on the implementation of the Digital Twins concept for maintenance purposes. The proposed model makes a joint transportation process and crane maintenance scheduling, relevant to assure more robust performances in stochastic environments, as well as to assess and optimize performances at different levels, from components and transport device to production systems (container terminal). The crane operation risk is estimated with a sequential Markov chain Monte Carlo simulation model and the optimization model behind of IMDMM is supported through the Particle Swarm Optimization algorithms because the objective function a non-linear stochastics problem with bounded constrains. The developed model allows the container terminal operators (management process) to obtain a maintenance schedule that minimizes the GCI (holistic indicator), as well as establishing the desired level of risk. The paper demonstrates the effectiveness of the proposed maintenance decision making concept model for cranes under operation using data from of a real container terminal (case study).

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Section: Virtual Counterpartmentioning

confidence: 97%

A digital twins concept model for integrated maintenance: a case study for crane operation

Szpytko

Duarte

2020

J Intell Manuf

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“…Vogt et al [ 7 ] proposed a unifying framework for VRAP and developed a tabu search to solve the problem. Baniasadi et al [ 8 ] proposed a transformation technique for solving the clustered generalized traveling salesman problem (CGTSP); the objective of this problem is to find the minimal route that visits exactly one node from each subcluster to ensure that all subclusters of each cluster are visited consecutively. Moreover, Ghoniem et al [ 9 ] proposed a vehicle routing with demand allocation problem (VRDAP) that arises in non-profit food distribution systems.…”

Section: Literature Reviewmentioning

confidence: 99%

A variable neighborhood search for the last-mile delivery problem during major infectious disease outbreak

et al. 2021

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“…UAS have been introduced in global logistics systems to address some of these challenges, supporting warehouse, freight and logistics operations ( Baniasadi et al, 2020 ; Vamsi et al, 2020 ; Foumani et al, 2018 ; Zhang et al, 2018b ), providing real-time information on material and equipment condition and quality ( Azmat and Kummer, 2020 ). UAS have been deployed in Wal-Mart warehouses, and have cut inventory time from thirty days to just one, with costs, compared to a human employee, cut approximately in half ( Companik et al, 2018 ).…”

Section: Asset Tracking and Visibility In Global Logistics Systemsmentioning

confidence: 99%

Asset tracking, condition visibility and sustainability using unmanned aerial systems in global logistics

Sellevold

May

Gangi

et al. 2020

Transportation Research Interdisciplinary Perspectives

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The scale and scope of global logistics systems make real-time visibility of individual assets in global logistics systems difficult. Aggregating global logistics data to a manageable level where interruptions and disruptions can be anticipated or resolved is high on the wish list of global logistics managers and decision makers. Asset tracking and condition visibility in global supply chains is also difficult because few standards or metrics have been assessed in a supply chain, particularly when new technology is introduced, such as unmanned aerial systems in global supply chains. In this paper, we describe the integration of an unmanned aerial system in a global logistics system, and the metrics used to assess the integrated system. We highlight the importance of supply chain process, business impact, societal and environmental sustainability metrics, in addition to economic and supply chain performance metrics, in evaluating the integrated system.

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A transformation technique for the clustered generalized traveling salesman problem with applications to logistics

Cited by 102 publications

References 48 publications

A digital twins concept model for integrated maintenance: a case study for crane operation

A digital twins concept model for integrated maintenance: a case study for crane operation

A variable neighborhood search for the last-mile delivery problem during major infectious disease outbreak

Asset tracking, condition visibility and sustainability using unmanned aerial systems in global logistics

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