Dry-docking performance measurement model – multi criteria non parametric approach

Rabar, Denis; Pavletić, Duško; Doboviček, Sandro; Vlatković, Maja

doi:10.1080/17445302.2021.1907085

Cited by 5 publications

(3 citation statements)

References 16 publications

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“…This model incorporates both quantitative metrics and qualitative attributes through an input-output framework. Several studies, such as Chao and Yeh [6], Pires et al [7], and Rabar et al [8], have utilised DEA to compare shipyard competitiveness, benchmark shipbuilding performance, and analyse dry-docking performance, respectively. DEA enhances the inclusion of influencing factors and can be integrated with other tools and methodologies.…”

Section: The Models In Ship-manufacturing Performance Assessmentmentioning

confidence: 99%

Integrated Value Engineering and Risk Assessment Performance Measurement Framework in Ship-Manufacturing Industry towards Net Zero Emissions Using Fuzzy DEMATEL-AHP

2023

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This paper aims to apply the novel integrated Value Engineering and Risk Assessment (VENRA) framework for measuring shipyard performance based on the combination of fuzzy Decision Making Trial and Evaluation Laboratory (DEMATEL) and Analytic Hierarchy Process (AHP) tools. These are used to assess the criteria cause-effect and weight ranking analysis, considering the causal and affected groups while prioritising the criteria and sub-criteria ranking. A shipyard case study was used to apply the proposed framework, showing that the shipyard with a high personnel’s safety group is majorly more important than the environmental impact. The combination of hybrid MCDM tools has enhanced the process of determining the criteria analysis. Waste management has become the most impacting attribute amongst the criteria group, while the HSE department is the most critical criterion. However, the green energy used is still a minor factor as it is still not fully exploited within the existing shipyard and has not been fully supported by existing regulations yet.

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Section: The Models In Ship-manufacturing Performance Assessmentmentioning

confidence: 99%

Integrated Value Engineering and Risk Assessment Performance Measurement Framework in Ship-Manufacturing Industry towards Net Zero Emissions Using Fuzzy DEMATEL-AHP

2023

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“…The performance measurement model is to be improved compared to the basic one formulated in the paper prepared by (Rabar et al, 2021).…”

Section: Dry-docking Processmentioning

confidence: 99%

Manufacturing Process Performance Measurement Model Using Categorical DEA Approach – a Case of Dry-Docking

Rabar¹,

Rabar²,

Pavletic³

2022

IJTech

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This paper describes the improved performance measuring model for vessel dry-docking. Dry-docking represents the operation where the vessel is put out of the water to clean and coat the vessels, and equipment check. This model deals with data collected from thirty-four completed drydockings, all supported by the Data Envelopment Analysis (DEA) methodology. To solve the limits appearing from extreme values for some vessels, an extension in the form of the categorical model was introduced. By the categorical model implementation, a more precise efficiency measurement was enabled. The performance calculation results contain the efficiency scores for all vessels and target improvements for the inefficient vessels. Inefficiency sources were detected using the DEA methodology, and the proposed solutions are based on process knowledge and data set. This model also introduced and set the parameters for category division and revealed the benchmarks among the studied vessels. The model introduced can be used for efficiency measurement of similar vessels, or as a prediction-based model by introducing vessels with hypothetic data. This model could also be utilized for similar manufacturing processes which can be found in civil engineering, project manufacturing, or transportation. Further research could be conducted based on the slack-basedmeasure model, respecting the limitation of data homogeneity.

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“…Establishing performance targets as well as efficiency measurement using the DEA method on a set of repair shipyards engaged in ferry fleet repair was introduced by Mayo et al [11]. The DEA methodology was used by Rabar et al [12] on a quantitative data set for the dry-docking efficiency assessment. The results pointed to benchmarks for the dry-docking performance and the guidelines to future dry-docking improvements on the researched data set.…”

Section: Literature Reviewmentioning

confidence: 99%

Two-Step Manufacturing Process Measurement Model Using Qualitative and Quantitative Data—A Case of Newbuilding Dry-Docking

Rabar

Pavletić

2021

JMSE

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Newbuilding dry-docking is a part of the shipbuilding manufacturing process, common for vessels built on slipways. The subject of this research is steel-built vessels intended for non-restricted sea-going navigation. Based on former experience, the necessity of the dry-docking projects measurement has been noted as a managerial tool for performance estimation and project comparison. The dry-docking project is a complex task which includes the first self-propelled sea passage and the transfer of the manufacturing process to a remote place. The dry-docking result is a surveyed and coated vessel ready for sea trials and five-year service until the next dry-docking. This paper deals with a model which enables process measurement using the analytic hierarchy process (AHP) method for qualitative data related to the dry-docking places and data envelopment analysis (DEA) for quantitative data related to the vessels’ technical and cost data. The modelled data are collected from the completed dry-dockings, and the twenty-nine studied vessels represent the decision-making units (DMU) used in two-step process measurement calculations. The obtained results can distinguish the efficient DMUs, which create an efficient frontier as benchmarks or “the best practice units” in the given DMU set. For the non-efficient DMUs, the efficiency score and rate of improvements needed to reach the efficient frontier will be calculated, and the sources of inefficiency will be recognized.

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Dry-docking performance measurement model – multi criteria non parametric approach

Cited by 5 publications

References 16 publications

Integrated Value Engineering and Risk Assessment Performance Measurement Framework in Ship-Manufacturing Industry towards Net Zero Emissions Using Fuzzy DEMATEL-AHP

Integrated Value Engineering and Risk Assessment Performance Measurement Framework in Ship-Manufacturing Industry towards Net Zero Emissions Using Fuzzy DEMATEL-AHP

Manufacturing Process Performance Measurement Model Using Categorical DEA Approach – a Case of Dry-Docking

Two-Step Manufacturing Process Measurement Model Using Qualitative and Quantitative Data—A Case of Newbuilding Dry-Docking

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