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PurposeIn recent times, there has been a lot of research focused on performance measurement (PM) in project-based sectors. However, there are very few studies that were reported on the significance of PM in the construction sector. Keeping track of an organization in achieving organizations goals and objectives seems an important way. One of the major challenges faced by the industry is unavailable of an appropriate PM system for assessing organizational performance. Most of the PM approaches consider the traditional project triangle assessment of project success. Based on the limitations identified in existing PM models, the purpose of this paper is to develop a comprehensive PM model, i.e. Modified Project Quarter Back Rating (MPQR) applicable for construction projects.Design/methodology/approachA detailed list of performance areas as a method for PM is analyzed in the construction industry context. Also, industry-specific professionals conducted semi-structured interviews to assess whether these performance areas are sufficient to measure and understand the PM systems.FindingsThe research finding focuses on developing the MPQR model that considers both financial and non-financial areas for performance assessment to provide a holistic assessment of project performance.Practical implicationsMPQR model provides an opportunity to set the benchmark for overall performance for construction organizations.Originality/valueThe findings of the study are expected to provide guidelines to construction professionals for implementing the performance model that will improve performance in the construction industry.

A Heating, Ventilation, and Air Conditioning (HVAC) system is often utilized in passenger vehicles to enhance the comfort of both the driver and the passengers. The reliability of an HVAC system refers to the probability that a component within the system will fulfil its intended function during a specified timeframe while operating according to the predefined operational and environmental conditions. Conducting a reliability analysis for the HVAC system of a passenger vehicle is crucial to ensure safety, comfort, cost-effectiveness, and a positive standing. A methodology for analyzing the reliability analysis of a HVAC system using field failure data were developed to identify the critical failure modes, components, and subsystems. A detailed Pareto analysis was applied at subsystem and failure mode levels in order to prioritize them accordingly to their failure frequency. The analysis showed that the A/C evaporator and blower front sides were observed to be the most critical subsystems, contributing to approximately 50% of all failures. Furthermore, the leakages at the joints and vibrations are the primary failure modes of the HVAC system. The Weibull++ software package (version 2021) was used to estimate the best-fit probability distributions for each subsystem and system reliability modelling using a Reliability Block Diagram. The results show that the exponential distribution fits well for several subsystem’s Time-To-Failure (TTF) data and show that the failures were random and due to external reasons.

Purpose The success of construction projects can be indicated by measuring their performance. For effective project performance (PP), the successful execution of a construction projects is very important. A systematic review of the literature on performance areas and performance assessment models was undertaken. The purpose of this paper is to develop a mathematical formulation for construction PP areas to suit the Indian context by modifying the current project quarterback rating (PQR) model. Design/methodology/approach Based on the literature, the PQR model has not been validated for suitability in the Indian context. To validate the PQR model and modify the same for the Indian context, a survey instrument was used to collect data on performance areas and a multivariate data analysis technique was carried out to develop a modified model. Delphi technique was used to assign the weights for each performance metric in performance areas. Findings This study concluded the importance of three additional performance areas, namely, productivity, stakeholder satisfaction and environment for assessing PP for Indian construction projects. It also identified the interrelationship between the performance areas and the PP. Practical implications The developed modified PQR model (MPQR) will guide the concerned stakeholders to take corrective actions for improving the performance of construction projects. Originality/value The MPQR proposed in this paper covers ten areas and is a comprehensive single score that can be used to benchmark and compare performance over different projects to achieve continuous improvement.

The GLOBE Program’s GLOBE Observer Mosquito Habitat Mapper is a no-cost citizen scientist data collection tool compatible with Android and iOS devices. Available in 14 languages and 126 countries, it supports mosquito vector surveillance, mitigation, and education by interested individuals and as part of participatory community surveillance programs. For low-resource communities where mosquito control services are inadequate, the Mosquito Habitat Mapper supports local health action, empowerment, and environmental justice. The tangible benefits to human health supported by the Mosquito Habitat Mapper have encouraged its wide adoption, with more than 32,000 observations submitted from 84 countries. The Mosquito Habitat Mapper surveillance and data collection tool is complemented by an open database, a map visualization interface, data processing and analysis tools, and a supporting education and outreach campaign. The mobile app tool and associated research and education assets can be rapidly deployed in the event of a pandemic or local disease outbreak, contributing to global readiness and resilience in the face of mosquito-borne disease. Here, we describe the app, the Mosquito Habitat Mapper information system, examples of Mosquito Habitat Mapper deployment in scientific research, and the outreach campaign that supports volunteer training and STEM education of students worldwide.

PurposeThe construction industry is facing challenges because of performance shortfalls. Construction projects are highly complex, distinctive, fragmented and do not have well-established performance assessment models to evaluate their project success. The purpose of this paper is to assess the direction through determination of performance areas that would affect project performance in Indian construction projects.Design/methodology/approachA survey instrument was developed to gather data on the perception of industry professionals on these identified areas. Purposive sampling method was used to select respondents for the survey. These performance areas are ranked using relative importance index to ascertain a level of importance among the group. Factor analysis (FA) was conducted to identify the significant performance areas project performance. Further to identify the most influence performance areas on Indian construction projects, multiple regression analysis was carried out.FindingsFindings indicated 28 significant performance areas. This shows the low level of adoption of good construction management practices in Indian construction projects. FA resulted in the areas being grouped to nine broad significant performance areas with 59.49% of the total variance, namely, quality, schedule, environment and stakeholder satisfactions, cost, productivity, safety, communication management, customer relations and finance. Multiple regression analysis revealed two pivotal factors “customer relations” and “schedule” that significantly influence project performance in Indian construction industry.Originality/valueThe outcome of the study will guide project stakeholders, who desire to improve project performance on construction projects, to prioritize their efforts. It also highlights performance areas of project management which required more focussed research in the context of Indian construction projects. The findings can be extended to the developing countries.

The Indian construction industry is facing challenges due to performance shortfalls. The construction projects are highly complex, distinctive, fragmented and do not have of well-established performance assessment models to evaluate their project success. Assessing overall project success is not possible to measure by single factor. To address this limitation, the Modified Project Quarter Back Rating (PQR) model was developed for the Indian construction industry. Modified PQR model’s output is a project score based on performance areas affecting project success and outcome. The model integrates ten performance areas that have identified through literature review. Performance areas included in the model are; (i) Cost (ii) Schedule (iii) Stakeholder satisfaction (iv) Safety (v) Quality (vi) Finance (vii) Environment (viii) Communication and collaboration (ix) Customer relation and (x) Productivity. These performance areas are measured through different performance metrics; i.e. performance metrics scores are aggregated to compute performance area scores. The model gives a single score that will help in comparing overall performance for different projects. This paper attempted to highlight the importance of performance metrics in modified Project Quarter Back Rating (PQR) based construction project performance assessment model for the Indian construction industry. The validity of the model needs assigning appropriate weights to the performance metrics as the weightage determines the relevance. Appropriate weights were determined using two round Delphi survey with 12 experts. Findings reveal that two performance metrics; return business from customer relation and OSHA recordable from safety have high weights. This modified PQR model will help key participants of the industry to compare the performance of various projects and to monitor performance areas that impact project performance rating.

The construction industry is growing with the shortfall issues of productivity, functionality, and cost. Precast construction has significant potential to address these issues by incorporating lean principles. Lean focuses on enhancing value at every stage of the construction process. By combining these two approaches, the construction industry can effectively tackle these challenges. This research aims to achieve two main objectives: (1). To establish a connection between lean tools and non-value added (NVA) activities, (2). To prioritize these lean tools based on their relevance to major NVA activities. To accomplish this, an extensive review of the literature was conducted to examine the adoption of lean tools in various NVA tasks. A questionnaire survey was then employed to identify the root causes of NVA activities (criteria) and determine the most suitable lean tools for addressing each specific criterion. The findings from multi-criteria decision decision-making (MCDM) analysis highlight that total quality management (TQM) is ranked first in two methods while continuous improvement (CI) ranked first in one method. Comparing all the scenarios, it is observed that 5S and CI have been fluctuating between two and three rankings, and the remaining ranks have very minute changes. Based on all these lean tools are prioritized as TQM > CI > 5S > JIT > VSM > PY.

Research article publication is often considered a critical indicator of academic institutions' success and productivity. It improves the institution's reputation, attracts talented students and faculty members, and increases the institution's chances of receiving funding opportunities from different funding agencies. This paper provides a reliable and sustainable methodology for improving the quality and quantity of research article publications for engineering institutions in India. The various tools, techniques, and initiatives that promote research culture and improve its outcome in terms of research papers are also discussed. A case study of Pimpri Chinchwad College of Engineering (PCCOE), Pune, India, depicts how predictive, prescriptive, descriptive, and diagnostic data analytics approaches help to identify the barriers in the research article publications in academic institutions and provides the ways to overcome them. It also helps to set the publication targets and develop the path to perceive the targets. The outcomes and effectiveness of the case study are discussed using the papers published in Scopus, Web of Science, and Google Scholar databases. The challenges, opportunities, and recommendations are also provided for the smooth and effective implementation of the developed methodologies.

The science of nanotechnology, the manipulation, design and engineering of devices at the atomic and molecular scale, is starting to be applied to many disciplines including aspects of agriculture and crop science. This book opens with a brief history of nanotechnology in agriculture. Applications are then examined in detail, including nanopesticides, nanosensors, nanofertilizers, and nanoherbicides. Topics covered include; the biosynthesis of nanoparticles (through microbes, plants and other biotic agents); the ecological consequences of their delivery into the environment (examining effects and toxicity on soil, soil biota, and plants); safety issues; an overview of the global market for nanotechnology products, and the regulation of nanotechnology in agriculture. The book concludes with speculations on what the future holds for the technology.The book has been written by an international group of researchers and experts from over 12 countries with experience across a wide range of issues relating to the industry.This book will be of use to a wide range of researchers and professional scientists in the agricultural sector, academia and industry, including microbiologists, chemical engineers, geneticists, plant scientists and biochemists.