Development of a non-parametric classifier: Effective identification, algorithm, and applications in port state control for maritime transportation

Wang, Shuaian; Yan, Ran; Qu, Xiaobo

doi:10.1016/j.trb.2019.07.017

Cited by 92 publications

(50 citation statements)

References 59 publications

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“…Model [P] is challenging to solve because it has complex nonlinear constraints () and () and cannot be solved by off‐the‐shelf solvers (Adeli & Karim, 2014; García‐Nieves, Ponz‐Tienda, Salcedo‐Bernal, & Pellicer, 2018; Jiang & Adeli, 2003; Tang, Liu, Wang, Sun, & Kandil, 2018; Wang, Yan, & Qu, 2019; Xie, Lei, & Ouyang, 2018). One approach is to apply nonlinear optimization methods (Arcaro & Adeli, 2019; Bie, Xiong, Yan, & Qu, 2020; Z. Chen & Liu, 2019; Pu et al., 2019; Qu, Yu, Zhou, Lin, & Wang, 2020; Zavadskas, Antucheviciene, Turskis, & Adeli, 2016; Zavadskas, Antucheviciene, Vilutiene, & Adeli, 2018; Zhang et al., 2019; Zhou, Yu, & Qu, 2020), such as Newton method or quasi‐Newton method (Branam, Arcaro, & Adeli, 2019), but they do not guarantee global optimality.…”

Section: Solution Methodsmentioning

confidence: 99%

Drone scheduling for construction site surveillance

Sutrisna

2020

Computer aided Civil Eng

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Using drones to monitor construction site is a flexible approach with low manpower costs. We study a drone scheduling problem in which a drone flies on a fixed path over a construction site. The flying speed of the drone is optimized to ensure that the drone spends the most time monitoring areas of the construction site that deserve the most attention while ensuring that the drone completes the route within a certain time and without depleting its battery. We propose a nonlinear optimization model for the problem and develop a dynamic programming algorithm to solve the model. A case study is carried out to demonstrate the applicability of the proposed drone scheduling model.

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Section: Solution Methodsmentioning

confidence: 99%

Drone scheduling for construction site surveillance

Sutrisna

2020

Computer aided Civil Eng

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“…Model (P1) is challenging to solve because it has a very large number of integer decision variables [35][36][37][38][39][40]. Given a problem instance, the number of decision variables t k is O (N), where the big-O notation is used, the number of decision variables z ik is O (N • |I|); the number of decision variables y i1 , y i2 , y i3 , y i4 , y i5 , and y i6 is O (N • |I|); the number of decision variables To address model (P1), we propose a heuristic approach below.…”

Section: Solution Methodsmentioning

confidence: 99%

Sustainable Ship Loading Planning for Prefabricated Products in the Construction Industry

Phipps

Wang

2020

Sustainability

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This paper focuses on sustainable transportation of prefab products from factories to construction sites by ship. Since the transportation cost for all the prefab products of a construction site is mainly dependent on the number of cargo holds used on ships, a loading plan for prefab products that minimizes the number of holds required is highly desirable. This paper is therefore devoted to the development of an optimal loading plan that decides which prefab products are loaded into each cargo hold and how to pack these prefab products into the holds so that as few holds as possible are used. We formulate the problem as a large-scale integer optimization model whose objective function is to minimize the total number of cargo holds used and whose constraints represent the cargo hold capacity limits. We develop a heuristic to solve the problem and obtain a high-quality solution. We have tested the model and algorithm on a case study that includes 20 prefab products. We find that different cargo holds carry prefab products that have quite different densities. Moreover, the orientations of many prefab products are different from their default orientations. The results demonstrate the applicability of the proposed model and algorithm.

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“…In order to ensure maritime safety and prevention of marine pollution, it is well recognised that PSC inspection is one of the most critical solutions (Wang, Yan, and Qu 2019). The Tokyo Memorandum of Understanding (MoU), Paris MoU, and other comparable MoUs publish comprehensive annual reports presenting the activities and development of PSC for every calendar year.…”

Section: Literature Reviewmentioning

confidence: 99%

Association rule mining for identification of port state control patterns in Malaysian ports

Osman

Chen

Tian

et al. 2020

Maritime Policy & Management

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Port State Control (PSC) inspection data is used for determining the inspection pattern of PSC in Malaysia and identifying the relationship between the inspection place, flag state, number of deficiency, detention result, and ship risk profile. Based on 8,089 inspection reports from 2015 to 2019, the mining association rule is proposed as a learning approach due to its determination pattern in the information bank. The learning of association rules of PSC inspections is performed primarily on the Apriori Algorithm, in order to produce alluring rules. Inspection patterns of Malaysian ports revealed that flag state, ship risk profile, and inspection place generally lead to no detention result, as well as zero deficiency recorded on-board. The reported quantity of detention was significantly related to the high number of deficiencies raised for ships registered under blacklisted countries. Furthermore, the analysis of deficiency discovered the pattern of inspection at Malaysian ports is frequently related to zero and a low number of deficiencies raised by inspectors. Lastly, five major ports were selected for providing a useful rule to help PSC officers in organising an effective inspection plan. A similar approach can also be used for other ports beyond Malaysia for comparative analysis.

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Development of a non-parametric classifier: Effective identification, algorithm, and applications in port state control for maritime transportation

Cited by 92 publications

References 59 publications

Drone scheduling for construction site surveillance

Drone scheduling for construction site surveillance

Sustainable Ship Loading Planning for Prefabricated Products in the Construction Industry

Association rule mining for identification of port state control patterns in Malaysian ports

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