Sequential SWARA and fuzzy VIKOR methods in elimination of waste and creation of lean construction processes

Yücenur, G. Nilay; Şenol, Kaan

doi:10.1016/j.jobe.2021.103196

Cited by 28 publications

(9 citation statements)

References 34 publications

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“…A hybrid Pythagorean fuzzy decision support system based on SWARA method has been developed for identifying the key barriers to the adoption of Internet of Things 58 . Yücenur and Şenol 59 gave a novel decision-making method by combining SWARA and fuzzy “Visekriterijumska optimizacija I kompromisno resenje (VIKOR)” approaches in waste removal and formation of lean creation procedures.…”

Section: Literature Reviewmentioning

confidence: 99%

Intuitionistic fuzzy fairly operators and additive ratio assessment-based integrated model for selecting the optimal sustainable industrial building options

Mishra¹,

Rani

Cavallaro

et al. 2023

Sci Rep

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In the past few years, the private sectors and industries have focused their attention on sustainable development goals to achieve the better and more sustainable future for all. To accomplish a sustainable community, one requires to better recognize the fundamental indicators and selects the most suitable sustainable policies in diverse regions of the community. Considering the huge impact of construction industry on sustainable development, very less research efforts have been made to obtain worldwide sustainable elucidations for this type of industry. As a large sector of construction industry, industrial buildings consume enormous amounts of energy and financial assets, and play a key character in job creation and life quality improvement in the community. In order to assess the sustainable industrial buildings by means of multiple indicators, the present study introduces a hybrid multi-criteria decision-making methodology which integrates the fairly aggregation operator, the MEthod based on the Removal Effects of Criteria (MEREC), the stepwise weight assessment ratio analysis (SWARA) and the additive ratio assessment (ARAS) methods with intuitionistic fuzzy set (IFS). In this respect, firstly new intuitionistic fuzzy weighted fairly aggregation operators are proposed and then employed to aggregate the decision information in the proposed hybrid method. This operator overcomes the limitations of basic intuitionistic fuzzy aggregation operators. To find the criteria weights, an integrated model is presented based on the MEREC for objective weights and the SWARA for subjective weights of indicators under IFS context. To rank the sustainable industrial buildings, an integrated ARAS method is employed from uncertain perspective. Further, a case study concerning sustainable industrial buildings evaluation is presented to illustrate the superiority and practicality of the developed methodology. The advantages of the developed approach are highlighted in terms of stability and reliability by comparison with some of the existing methods.

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Section: Literature Reviewmentioning

confidence: 99%

Intuitionistic fuzzy fairly operators and additive ratio assessment-based integrated model for selecting the optimal sustainable industrial building options

Mishra¹,

Rani

Cavallaro

et al. 2023

Sci Rep

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“…Non-physical Waste materials, labour and money in the construction process [9,50]. Non-physical waste in construction is not only focused on the quantity of material on-site but also concerns overproduction, waiting times, material handling, inventories and unnecessary movements of workers [44]. Although waste is usually identified during the construction stage, it can also be initiated by progressions that lead to production, such as materials manufacturing, training of human resources, design, materials supply and planning [40].…”

Section: Cost Overrunmentioning

confidence: 99%

Preliminary survey on the root causes of mishandling materials occurrence at construction sites in central region Malaysia

Nadarason,

Nagapan,

Arumugam

2023

IOP Conf. Ser.: Earth Environ. Sci.

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A crucial issue has been perceived as construction waste generation, which negatively affects the effectiveness of construction project and its environmental impact. The key objective of the current research is to identify the root causes of mishandling materials at construction sites. A well-structured questionnaire was designed based on the 33 root causes of mishandling materials identified. The developed questionnaire was distributed to 28 highly experienced in Malaysian construction industry experts. The collected data was analysed by using mean score analysis. There are nine crucial root causes with a mean value greater than 3.70. The top identified root causes are lack of management commitments towards educating workers about safety, wrong handling of materials, lack of supervision, poor management, inappropriate storage leading to damage and mismanagement of materials. These initial findings will assist construction practitioners in addressing these root causes to reduce the material construction waste generated on construction sites.

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“…In period 3 (2012–2016), prefabrication, workflow management and Building Information Modelling (BIM) emergence are identified as potential topics related to LC. At the time of our study, production concerning LC continues to deal mainly with the exploration of barriers (Albalkhy and Sweis, 2021; Aslam et al , 2020; Babalola et al , 2019; Enshassi et al , 2021; Li et al , 2020), opportunities (Carvajal-Arango et al , 2019; Francis and Thomas, 2020; Yücenur and Şenol, 2021), emergence solutions (Hussein and Zayed, 2021; Lalmi et al , 2021), collaboration with BIM and the digitalisation of Lean tools (Heigermoser et al , 2019; Mohammadi et al , 2020; Singh and Kumar, 2021; Zhang et al , 2018), Lean and Industry 4.0 (Dallasega et al , 2018; Le and Nguyen, 2022; Schulze and Dallasega, 2020; Shahin et al , 2020) and implementation in mega projects (Cerić et al , 2021; Jia et al , 2019).…”

Section: Lean Construction Backgroundmentioning

confidence: 99%

Implementing lean construction to improve quality and megaproject construction: a case study

Gartoumi

Mohamed

Zaki

2023

JFMPC

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Purpose This paper aims to explore a framework for implementing Lean Construction (LC) to provide corrective actions for quality defects, customer dissatisfaction and value creation during the construction of megaprojects. Design/methodology/approach This paper presents a case study involving the construction of the Mohamed VI Tower in Morocco. It is the tallest tower in Africa, with 55 floors and a total height of 250 m. This study of the quality of the work and the involvement of the LC was carried out using the Define–Measure–Analysis–Improve–Control approach from Lean six sigma. It describes the Critical to Quality and analyses the root causes of quality defects, customer dissatisfaction and variation in the quality process. Findings Firstly, the results of this study map the causal factors of lack of quality as established in the literature. Secondly, the LC tools have reduced non-value-added sources of quality waste and, consequently, improved critical quality indicators. Research limitations/implications This document focuses on one part of the tower’s construction and is limited to a project case in a country where LC is rarely used. Originality/value This study reinforces the literature reviews, surveys and the small number of case studies that have validated the potential of LC and further clarifies future directions for the practical emergence of this quality improvement approach, especially for large-scale projects.

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Sequential SWARA and fuzzy VIKOR methods in elimination of waste and creation of lean construction processes

Cited by 28 publications

References 34 publications

Intuitionistic fuzzy fairly operators and additive ratio assessment-based integrated model for selecting the optimal sustainable industrial building options

Intuitionistic fuzzy fairly operators and additive ratio assessment-based integrated model for selecting the optimal sustainable industrial building options

Preliminary survey on the root causes of mishandling materials occurrence at construction sites in central region Malaysia

Implementing lean construction to improve quality and megaproject construction: a case study

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