Article
Environmental Sciences
Kramat Hussain, Zhen He, Naveed Ahmad, Muzaffar Iqbal, Muhammad Zubair Saeed
Summary: This study explores the important driving factors (DFs) for Green Lean Six Sigma adoption (GLSA) through literature review and expert interviews, and identifies energy efficiency, government incentives, waste minimization, among others, as significant factors for GLSA. This provides valuable guidance for managers, professionals, and policymakers in promoting GLSA.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Construction & Building Technology
Manuel Pedrosa, Amilcar Arantes, Carlos Oliveira Cruz
Summary: This article explores the barriers of applying Lean methodology in the Portuguese construction sector, identifying lack of top management support and commitment, lack of communication and transparency between stakeholders, unsuitable organizational structures, inadequate Lean awareness and understanding, management resistance to change, and employees' aversion to change and fear of new procedures as the main barriers.
Article
Development Studies
Kramat Hussain, Zhen He, Naveed Ahmad, Muzaffar Iqbal, Shama Nazneen
Summary: Resource conservation, sustainability, quality, and cost control are crucial issues for the construction sector worldwide. This study identifies key enablers for Green Lean Six Sigma in Pakistan's construction industry, including government support, financial resources, top-management determination, and organizational capability. The findings provide insights for practitioners, policymakers, and government, facilitating the adoption of GLS methods for sustainable growth.
JOURNAL OF ENVIRONMENTAL PLANNING AND MANAGEMENT
(2023)
Article
Engineering, Industrial
B. G. Aadithya, P. Asokan, S. Vinodh
Summary: The study examines barriers to lean adoption in the fabrication industry using ISM. It identifies lack of knowledge about lean, lack of top management support and poor leadership as principal barriers. MICMAC analysis categorizes the barriers into driving, dependent, linkage and autonomous types.
INTERNATIONAL JOURNAL OF LEAN SIX SIGMA
(2021)
Article
Engineering, Civil
Ragavi Prabaharan, S. Shanmugapriya
Summary: This paper aims to identify the barriers in implementing Lean construction practices in the Indian construction industry. The study uses ISM and MICMAC methods for data collection and analysis. The results reveal that insufficient government support and lack of top management involvement are the major driving barriers, while low awareness, absence of knowledge, and inadequate training on Lean concepts are the linkage barriers.
IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY-TRANSACTIONS OF CIVIL ENGINEERING
(2023)
Article
Green & Sustainable Science & Technology
Karishma M. Qureshi, Bhavesh G. Mewada, Saleh Y. Alghamdi, Naif Almakayeel, Mohamed Rafik N. Qureshi, Mohamed Mansour
Summary: Small and medium-sized enterprises (SMEs) play a significant role in economic development but face challenges in achieving sustainability. This research aims to identify, evaluate, and rank the critical success factors (CSFs) of lean implementation in SMEs. The study uses interpretative structural modeling (ISM) and MICMAC analysis to model and understand the inter-relationships of these CSFs. The results highlight the importance of sustainability in manufacturing systems, financial capability, and employee involvement in lean implementations in manufacturing SMEs.
Article
Computer Science, Artificial Intelligence
Saima Rafi, Muhammad Azeem Akbar, Wu Yu, Ahmed Alsanad, Abdu Gumaei, Muhammad Umer Sarwar
Summary: DevOps is a collaborative culture between development and operation teams aiming to develop high-quality software products. By analyzing research results, a testing capability structure can be established to select the best testing capabilities and support automated testing practices in the DevOps process.
APPLIED SOFT COMPUTING
(2022)
Article
Construction & Building Technology
Adetayo Onososen, Innocent Musonda
Summary: This study investigates the interrelatedness of the barriers to integrating BIM in buildings sustainability assessment using the interpretive structural modelling approach. The categorization of adoption barriers through the MICMAC analysis allows for discussions on the challenges of BIM-based life cycle assessment and the development of policies and design decisions to drive the process further.
Article
Green & Sustainable Science & Technology
Marina Marinelli, Ashwini Konanahalli, Rupesh Dwarapudi, Mukund Janardhanan
Summary: The low uptake of off-site construction (OSC) in India, despite its acknowledged efficiency, is hindered by several barriers. This paper uses interviews, a survey, and structural modeling to identify the top barriers for OSC implementation in India and proposes strategies to overcome them.
Article
Green & Sustainable Science & Technology
Mehul N. Patel, Akshay A. Pujara, Ravi Kant, Rakesh Kumar Malviya
Summary: The study identifies top management commitment as a key enabler for effective CE implementation, as it initiates and designs the best organization structure and culture. Globalization and environmental policy are also key enablers impacting long-term strategic planning towards CE implementation.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Engineering, Industrial
Debora Bianco, Moacir Godinho Filho, Lauro Osiro, Gilberto Miller Devos Ganga, Guilherme Luz Tortorella
Summary: This study aims to propose a list of Lean leadership competencies and provide a practical roadmap for Lean leadership development and training. Through a systematic literature review, interpretive structural modeling, and fuzzy MICMAC analysis, a hierarchy model was developed to prioritize the competencies. The results show that focusing on the shop floor and developing self-awareness are the main ways to improve Lean leaders.
PRODUCTION PLANNING & CONTROL
(2023)
Article
Green & Sustainable Science & Technology
Zezhou Wu, Kaijie Yang, Hong Xue, Jian Zuo, Shenghan Li
Summary: Reverse logistics is crucial for construction and demolition waste management. Information sharing is considered effective in strengthening coordination, but its adoption in C&D waste RL is unsatisfactory. This study systematically identifies major barriers and analyzes their hierarchical relationships using ISM and MICMAC techniques. The findings highlight uncertainty in the market environment, lack of trust among stakeholders, and inadequate government support as the three most important barriers negatively influencing IS in RL of C&D waste.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Green & Sustainable Science & Technology
Lusia Permata Sari Hartanti, Ivan Gunawan, Ig Jaka Mulyana, Herwinarso Herwinarso
Summary: This study examines waste modes in higher education institutions (HEIs) using lean principles and explores their potential impact on sustainability. The results identify eighteen critical waste modes in HEIs, with six of them being autonomous determinants. This study contributes to the understanding of waste types and their interrelationships in HEIs, as well as proposing mitigation actions for improvement.
Article
Engineering, Industrial
Sudhir Ambekar, Dipayan Roy, Amit Hiray, Anand Prakash, Vishal Singh Patyal
Summary: This study identifies and analyzes the barriers to implementing reverse logistics system in Indian CRIP sectors. It presents a structured model to identify interdependencies among these barriers. The study found that macro level barriers such as lack of awareness and insufficient policies stimulate each other and drive all other barriers. Organization-specific and operational level barriers were also identified and their interdependencies were analyzed.
ENGINEERING CONSTRUCTION AND ARCHITECTURAL MANAGEMENT
(2022)
Article
Engineering, Industrial
Dain Thomas, Dinesh Khanduja
Summary: This paper aims to prioritize and establish relationships among the barriers affecting GLSS implementation in the Indian construction sector using ISM-ANP approach. The study identified 12 vital barriers, with Lack of awareness for green products, Lack of top management commitment, and Lack of funds along with an improper estimation being highlighted as the highest level barriers. The ISM model and ANP ranks, based on inputs from experts and academicians, provide practical validity and assist decision-makers in focusing on key barriers for smooth GLSS implementation.
INTERNATIONAL JOURNAL OF LEAN SIX SIGMA
(2022)
Review
Environmental Sciences
Muhammad Shahjahan Usmani, Jianling Wang, Naveed Ahmad, Muzaffar Iqbal, Rahil Irfan Ahmed
Summary: This study provides an in-depth analysis of the increasing research trends in green technology (GTs) within the manufacturing industry by utilizing science-mapping techniques and quantitative approaches. Previous research has shown a scarcity of literature in this field, highlighting limitations that need to be addressed. The focus is on understanding tendencies and trends, while also offering insights into potential directions for future research, with broad implications for editors, researchers, institutions, policymakers, and practitioners.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Environmental Sciences
Muhammad Shahjahan Usmani, Jianling Wang, Naveed Ahmad, Zia Ullah, Muzaffar Iqbal, Muhammad Ismail
Summary: Corporate social responsibility (CSR) is significantly related to food companies, with a focus on employee training and empowerment. The study recommends that food sector firms should promote employee-based strategies for CSR implementation.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Environmental Sciences
Sajid Ullah, Naveed Ahmad, Farman Ullah Khan, Alina Badulescu, Daniel Badulescu
Summary: The study identified lack of enforceable laws, rules and regulations, and collaboration with government and environmental institutions as the most critical barriers to green innovations in Pakistani manufacturing firms. Interestingly, fear of failure about green innovation was found to be least important in hindering the adoption of green innovations. This research provides insights to promote green innovation in the manufacturing industry.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2021)
Article
Environmental Sciences
Muhammad Waqas, Honggang Xue, Naveed Ahmad, Syed Abdul Rehman Khan, Zia Ullah, Muzaffar Iqbal
Summary: This study investigated the impact of LGA-SC practices on GI, SCR, SCPA, and SFP, finding statistically significant associations between them. It also discovered that GI and SCR mediate the relationship between LGA-SC practices and SCPA, with GC and IP acting as positive moderators in this relationship.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Thermodynamics
Muzaffar Iqbal, Junhai Ma, Naveed Ahmad, Zia Ullah, Aisha Hassan
Summary: This study analyzed critical success factors for energy-efficient supply chain in the construction industry of Pakistan. The results showed that top-management support, international pressure for EESC, and environmental policy pressure are the most important factors contributing to the success of EESC adoption. This study provides valuable insights for managers and policymakers in implementing environmentally friendly practices in the construction sector.
INTERNATIONAL JOURNAL OF GREEN ENERGY
(2023)
Article
Development Studies
Kramat Hussain, Zhen He, Naveed Ahmad, Muzaffar Iqbal, Shama Nazneen
Summary: Resource conservation, sustainability, quality, and cost control are crucial issues for the construction sector worldwide. This study identifies key enablers for Green Lean Six Sigma in Pakistan's construction industry, including government support, financial resources, top-management determination, and organizational capability. The findings provide insights for practitioners, policymakers, and government, facilitating the adoption of GLS methods for sustainable growth.
JOURNAL OF ENVIRONMENTAL PLANNING AND MANAGEMENT
(2023)
Article
Public, Environmental & Occupational Health
Muzaffar Iqbal, Junhai Ma, Zia Ullah, Naveed Ahmad, Muhammad Ibrahim, Muhammad Waqas, Muneer Ahmad
Summary: This study highlights the importance of developing Lockdown Relaxation Strategies (LRS) to overcome the negative consequences of lockdown. Through expert feedback, the implementation of smart lockdowns, meeting public health standards, and limited public transportation operations are identified as the most important strategies. These results provide a strategic guideline for governments to take necessary measures and allocate resources appropriately.
SOCIAL WORK IN PUBLIC HEALTH
(2022)
Article
Environmental Sciences
Muzaffar Iqbal, Junhai Ma, Navieed Ahmad, Kramat Hussain, Muhammad Waqas, Yanjie Liang
Summary: Reducing energy usage and promoting energy management practices in the construction sector remain important issues. In Pakistan, the adoption of energy management practices in the construction sector is slow. This study identifies significant drivers for the adoption of energy management practices, such as increased taxes, promotion of investment subsidies, and stronger enforcement of government regulations.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Environmental Sciences
Kramat Hussain, Zhen He, Naveed Ahmad, Muzaffar Iqbal, Muhammad Zubair Saeed
Summary: This study explores the important driving factors (DFs) for Green Lean Six Sigma adoption (GLSA) through literature review and expert interviews, and identifies energy efficiency, government incentives, waste minimization, among others, as significant factors for GLSA. This provides valuable guidance for managers, professionals, and policymakers in promoting GLSA.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Business
Muhammad Waqas, Qingfeng Meng, Naveed Ahmad, Muzaffar Iqbal
Summary: This study investigates the influence of pressures from customers and governments on sustainable firm performance and customer satisfaction in the Chinese manufacturing industry, focusing on green production, green creativity, green brand innovativeness, and green brand image. The study also explores the moderating role of green knowledge. The findings support the direct relationships between the proposed construct and reveal the mediating role of green brand innovativeness, green brand image, and customer satisfaction. The study also confirms the moderating impact of green knowledge.
MANAGEMENT DECISION
(2023)
Article
Environmental Sciences
Shama Nazneen, Xu Hong, Nizam Ud Din, Barkat Jamil, Kramat Hussain
Summary: This study examines the relationship between tourism receipts and CO2 emissions, as well as the triple interaction effect of technological innovation, energy consumption, and tourism receipts on CO2 emissions. The findings show an inverse relationship between tourism receipts and CO2 emissions, and suggest that tourism receipts, technological innovation, and energy consumption can collectively reduce CO2 emissions.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Operations Research & Management Science
Muzaffar Iqbal, Naveed Ahmad, Muhammad Waqas, Maira Abrar
Summary: This study examines the impact of COVID-19 on the construction industry and proposes safety practices and a crisis management framework to address the challenges posed by the pandemic.
BRAZILIAN JOURNAL OF OPERATIONS & PRODUCTION MANAGEMENT
(2021)
Article
Construction & Building Technology
Parth Bansal, Steven Jige Quan
Summary: This study investigates the relationship between urban form and canopy layer urban heat island (CUHI) using a relatively large sample of microclimate sensors in Seoul, Korea. The study compares different statistical models and finds that the spatially explicit gradient boosting decision tree (GBDT) model has the highest accuracy. The study also shows that the effect of urban form on CUHI varies at different time instances during the day. These findings provide valuable insights for planners to understand the complexity of urban climate and reduce CUHI magnitude.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Miaomiao Liu, Salah Almazmumi, Pinlu Cao, Carlos Jimenez-bescos, John Kaiser Calautit
Summary: Windcatchers provide effective low-energy ventilation and summer passive cooling in temperate climates. However, their use in winter is limited due to significant ventilation heat loss and potential discomfort. This study evaluates the applicability of windcatchers in low-temperature conditions, highlighting the need for control strategies to reduce over-ventilation and the integration of heat recovery or thermal storage to enhance winter thermal conditions.
BUILDING AND ENVIRONMENT
(2024)
Review
Construction & Building Technology
Behrouz Nourozi, Aneta Wierzbicka, Runming Yao, Sasan Sadrizadeh
Summary: This article presents a systematic review of ventilation solutions in hospital wards, aiming to enhance pathogen removal performance while maintaining patient and healthcare staff comfort using air-cleaning techniques. The study reveals the importance of proper ventilation systems in reducing infection risk and adverse effects of cross-contamination.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Zhen Yang, Weirong Zhang, Hongkai Liu, Weijia Zhang, Mingyuan Qin
Summary: The study examines the influence of personalized local heating on the thermal comfort of occupants in old residential buildings. The findings reveal that personalized local heating can increase the overall thermal sensation of occupants, but only a few methods are effective in enhancing thermal comfort. The chosen heating methods and background temperature affect the participants' selection of heating parts.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Hong Cheng, Dan Norback, Huilin Zhang, Liu Yang, Baizhan Li, Yinping Zhang, Zhuohui Zhao, Qihong Deng, Chen Huang, Xu Yang, Chan Lu, Hua Qian, Tingting Wang, Ling Zhang, Wei Yu, Juan Wang, Xin Zhang
Summary: The home environment and sick building syndrome (SBS) symptoms in five southern Chinese cities have been studied over time. The study found a decrease in asthma prevalence and an increase in allergic rhinitis. Cockroaches, rats, mice, mosquitoes or flies were identified as consistent biological risk factors for SBS symptoms, while redecoration, buying new furniture, and traffic air pollution were identified as other risk factors.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Chaojie Xing, Zhengtao Ai, Zhiwei Liu, Cheuk Ming Mak, Hai Ming Wong
Summary: This study experimentally investigated the emission characteristics of droplets around the mouth during dental treatments. The results showed that the peak mass fraction of droplets occurs within the size range of 20 μm to 100 μm, and droplets with a diameter less than 200 μm account for over 80% of the mass fraction. The dominant emission direction of droplets is towards the dummy's head and chest, forming an approximately cone shape.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Zhijian Liu, Zhe Han, Lina Hu, Chenxing Hu, Rui Rong
Summary: This study compared the effects of different respiratory behaviors on the distribution of aerosols in a ward and the risk of infection for healthcare workers using numerical simulation. It was found that talking in the ward significantly increased aerosol concentrations, particularly short periods of talking. Wards designed with side-supply ventilation had lower overall infection risk. Talking alternately between healthcare workers and patients slightly extended the impact time of aerosols.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Yan Yan, Mengyuan Kang, Haodong Zhang, Zhiwei Lian, Xiaojun Fan, Chandra Sekhar, Pawel Wargocki, Li Lan
Summary: In a high-density city, opening windows for sleep may lead to increased indoor temperature, higher PM2.5 concentration, and noise disturbance, which can negatively impact sleep quality.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Yan Bai, Liang Liu, Kai Liu, Shuai Yu, Yifan Shen, Di Sun
Summary: This study developed a non-intrusive personal thermal comfort model using machine learning techniques combined with infrared facial recognition. The results showed that the ensemble learning models perform better than traditional models, and the broad learning model has a higher prediction precision with lower computational complexity and faster training speed compared to deep neural networks. The findings provide a reference for optimizing building thermal environments.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Yue Lei, Zeynep Duygu Tekler, Sicheng Zhan, Clayton Miller, Adrian Chong
Summary: Mixed-mode ventilation is a promising solution for achieving energy-efficient and comfortable indoor environments. This study found that occupants can thermally adapt when switching between natural ventilation (NV) and air-conditioning (AC) modes within the same day, with the adaptation process stabilizing between 35 to 45 minutes after the mode switch. These findings are important for optimizing thermal comfort in mixed-mode controls, considering the dynamic nature of thermal adaptation.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Nan Mo, Jie Han, Yingde Yin, Yelin Zhang
Summary: This study develops a method based on the LCZ framework for a comprehensive evaluation of urban-scale heat island effects, considering the impact of geographic factors on LST. The results show that Guilin's geomorphological conditions lead to abnormal heat island effects during winter, and the cooling effects of mountains and water bodies vary seasonally in different built areas, with LCZ 2 exhibiting the strongest cooling effect.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Tunga Salthammer
Summary: Monitoring the potential formaldehyde emission of wood-based materials through test chamber investigations has significantly contributed to reducing indoor formaldehyde concentrations. However, the different methodologies used in these procedures prevent direct result comparison. Empirical models for converting formaldehyde steady-state concentrations based on temperature, humidity, air change rate, and loading were developed in the 1970s and have been modified to accommodate the development of lower-emitting materials. Formaldehyde emissions from wood-based materials are complex and require nonlinear regression tools for mathematical analysis.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Katarina Stebelova, Katarina Kovacova, Zuzana Dzirbikova, Peter Hanuliak, Tomas Bacigal, Peter Hartman, Andrea Vargova, Jozef Hraska
Summary: This study investigated the impact of reduced short-wavelength light on the hormone melatonin metabolite 6-sulfatoxymelatonin (u-sMEL) and examined the association between previous day's light exposure and u-sMEL. It was found that reducing short-wavelength light during the day did not change the concentration of u-sMEL. Personal photopic illuminance was positively correlated with u-sMEL in the reference week. The illuminance had a significant impact on u-sMEL, as shown by the evaluation of the mean of all three urine samples. However, this correlation was not found in the experimental week.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Ruoxin Xiong, Ying Shi, Haoming Jing, Wei Liang, Yorie Nakahira, Pingbo Tang
Summary: This study proposes a data-model integration method to identify and calibrate uncertainties in machine learning models, leading to improved thermal perception predictions. The method utilizes the Multidimensional Association Rule Mining algorithm to identify biased human responses and enhances prediction accuracy and reliability. The study also evaluates different calibration techniques and discovers their potential in enhancing prediction reliability.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Beichao Hu, Zeda Yin, Abderrachid Hamrani, Arturo Leon, Dwayne McDaniel
Summary: This paper introduces an innovative super-resolution approach to model the air flow and temperature field in the cold aisle of a data center. The proposed method reconstructs a high-fidelity flow field by using a low-fidelity flow field, significantly reducing the computational time and enabling real-time prediction.
BUILDING AND ENVIRONMENT
(2024)