Prediction of occupational risk in the shipbuilding industry using multivariable linear regression and genetic algorithm analysis

Tsoukalas, V D; Fragiadakis, N.G.

doi:10.1016/j.ssci.2015.11.010

Cited by 42 publications

(25 citation statements)

References 23 publications

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“…This fieldwork also found an interesting point that most of the shipyards believe that risk management needs to focus only on health, safety, and the environment ('HSE') aspects; normally, only standards and procedures for an HSE management system have been established (Tsoukalas & Fragiadakis, 2016). One retired and experienced offshore newbuilding expert complained to the research team as follows:…”

Section: Shipyards' Systematic Risk Management For Offshore Projectsmentioning

confidence: 99%

A critical examination of risk management in offshore projects

Zhang

Peng-fei

2020

Marit. Technol. Res.

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KeywordsOffshore projects, Shipyard, Risk management, Shipbuilding, Offshore vessel or rigThe shipbuilding industry, particularly in some Asian countries, is currently experiencing a difficult time resulting from a sluggish market situation and the increasing risk of buyers' repudiation. Offshore newbuilding projects in the maritime sector are usually capital-intensive. When the market is in downturn and the values of offshore vessels or rigs (OVORs) depreciate, the risk of OVOR orders being cancelled is significantly increased. Being unable to deal properly with this kind of situation may bring about huge losses to the parties of the contract, both to shipyards and to the owners of OVORs. Newbuilding of OVORs differ significantly from the newbuilding of conventional ships, although the existing risk management of OVORs is based on a system adopted to suit conventional ships. Based on existing knowledge and the scholarship available in the public domain, and on the primary data collected in several phases of fieldwork, this study intends to critically examine a number of major issues relating to risk management in offshore newbuilding projects. The paper concludes with a proposed risk-management strategic framework and some practical suggestions for the builder. All rights reserved

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Section: Shipyards' Systematic Risk Management For Offshore Projectsmentioning

confidence: 99%

A critical examination of risk management in offshore projects

Zhang

Peng-fei

2020

Marit. Technol. Res.

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“…GA not only adopts the spirit of creature elimination rule but also finds the approximate optimal solution after the process of coding, decoding and constant operation (reproduction, crossover and selection). GA is performed in many applications by scholars like Humanitarian Logistics Network Design [62], Job Shop Scheduling [4], Prediction [63], Inventory Control [13] and Risk of Project [44]. Crossover and mutation are introduced as main GA operators.…”

Section: Genetic Algorithmmentioning

confidence: 99%

Hybrid improved cuckoo search algorithm and genetic algorithm for solving Markov-modulated demand

Jamali

Sana²,

Moghdani

2018

RAIRO-Oper. Res.

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One of the fundamental problems in supply chain management is to design the effective inventory control policies for models with stochastic demands because efficient inventory management can both maintain a high customers’ service level and reduce unnecessary over and under-stock expenses which are significant key factors of profit or loss of an organization. In this study, a new formulation of an inventory system is analyzed under discrete Markov-modulated demand. We employ simulation-based optimization that combines simulated annealing pattern search and ranking selection (SAPS&RS) methods to approximate near-optimal solutions of this problem. After determining the values of demand, we employ novel approach to achieve minimum cost of total SCM (Supply Chain Management) network. In our proposed approach, hybrid improved cuckoo search algorithm (ICS) and genetic algorithm (GA) are presented as main platform to solve this problem. The computational results demonstrate the effectiveness and applicability of the proposed approach.

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“…Evaluation Occupational Risks at Shipyards predict occupational risks in the shipbuilding industry [3]. In the paper, Multivariable Linear Regression (MVLR) and Genetic Algorithm (GA) methods have been integrated to evaluate occupational risk in the working place of shipyards by utilizing occupational accidents data.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Therefore, shipyard managers have been seeking alternative solutions to minimize potential hazards by addressing occupational accidents. There is a wide range of common accident causes such as heavy construction materials, flammable and explosive materials, toxic, dangerous gases, mobile machineries, fire, failure or incorrect using of equipment, high elevation, insufficient illumination, electric shock, poor ergonomics, improper working environment and inadequate personal protection clothing [2,3]. Some fatal consequences including loss of life and injury might arise as a result of these accidents.…”

Section: Introductionmentioning

confidence: 99%

Developing Web Based Decision Support System for Evaluation Occupational Risks at Shipyards

Çebı

Akyüz

Şahin

2017

Brod

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SummaryIn this study, a web based decision support system (WBDSS) has been developed to provide decision aid for risk analysis on occupational health and safety at shipyards. The system has been constructed as a modular structure to make its application easy for all kind of firms. The WBDSS is rule based and its database includes safety measures and risks for each tool and machine used in shipbuilding process. In addition, probability and hazard values have been involved in the case of violated measures. The frequencies of the violations that occurred in the work environment are entered to the system by the user. Hence, the system provides a decision support about the risks related to facilities and the cautions to be taken in the workplace. The developed WBDSS has the capability of determining accident, almost accident, and threat formation factors at workplace according to the changing parameters. In this aspect, it enables one to constantly monitor, check and evaluate risk preventive measures. Then, the capabilities of the suggested decision support system have been tested with different scenarios for shipyard processes. When the developed WBDSS is applied to all workplaces, it is aimed at providing a decrease in the number of accidents which cause death, occupational illness, injury, and temporary incapability.

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Prediction of occupational risk in the shipbuilding industry using multivariable linear regression and genetic algorithm analysis

Cited by 42 publications

References 23 publications

A critical examination of risk management in offshore projects

A critical examination of risk management in offshore projects

Hybrid improved cuckoo search algorithm and genetic algorithm for solving Markov-modulated demand

Developing Web Based Decision Support System for Evaluation Occupational Risks at Shipyards

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