
Anjali Awasthi- Concordia University
Anjali Awasthi
- Concordia University
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210
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Introduction
Dr. Anjali Awasthi is Full Professor and Concordia University Research Chair (Tier-II) in Connected Sustainable Mobility Systems at Concordia Institute for Information Systems Engineering (CIISE), in Concordia University, Montreal. She received a PhD in industrial engineering and automation from INRIA Rocquencourt and University of Metz, France and a Masters in Industrial and Management Engineering from IIT Kanpur, India. Prior to Concordia, Dr. Awasthi worked at University of British Columbia and University of Laval where she was involved in several projects on industrial applications of operations research. In France, she was involved in many European projects aimed at improving urban mobility in cities, city logistics and on cybernetic transportation systems. Her areas of research are modeling and simulation, data mining, Information Technology and decision making, sustainable logistics planning, quality assurance in supply chain management and sustainable supply chain management. She is currently serving as the Education Chair for CORS (Canadian Operations Research Society), a senior member of ASQ (American Society for Quality), associate of LSRC (Loyola Sustainability Research Center), and regular member of CIRRELT (Centre Interuniversitaire de Recherche sur les Reseaux d'Entreprise, la Logistique et le Transport). She is also the recipient of Eldon Gunn service award (CORS 2018, Halifax) and IEOM Special Recognition Award (4th North American Conference on Industrial Engineering and Operations Management, Toronto, 2019).
Current institution
Publications
Publications (210)
Traffic congestion is a major challenge in modern transportation systems, leading to increased travel time, greater fuel consumption, and higher levels of harmful emissions. Accurate traffic congestion forecasting is crucial for effective traffic control, such as managing traffic lights. To generate reliable predictions, it is crucial to precisely...
Currently, the new transportation tool High-Speed Railway (HSR) pushes economic and social development to a great level in some countries. Because of its high speed (actual speed 430 km/h, experiment speed 600–1200 km/h) and high efficiency, it makes good transportation in a surprisingly quick increment and then supports supply chain logistics runn...
A major design challenge for a grid-integrated photovoltaic power plant is to generate maximum power under varying loads, irradiance, and outdoor climatic conditions using competitive algorithm-based controllers. The objective of this study is to review experimentally validated advanced maximum power point tracking algorithms for enhancing power ge...
Traffic congestion is a major challenge in modern transportation systems, leading to increased travel time, greater fuel consumption, and higher levels of harmful emissions. Accurately forecasting traffic congestion at a high level of precision is crucial for implementing effective traffic control strategies, such as managing traffic lights. To gen...
This research examines worldwide concerns over traffic congestion, encompassing aspects such as security, parking, pollution, and congestion. It specifically emphasizes the importance of implementing appropriate traffic light timing as a means to mitigate these issues. The research utilized a dataset from Montreal and partitioned the simulated area...
As e-commerce thrives, robust recommendation systems that effectively cater to new users or items and manage large datasets are imperative. This paper presents the Scale-Aware Wavelet Graph Embedding (SAWE) approach, specifically tailored to tackle challenges such as data sparsity, the cold-start problem, and the long-tail issue in collaborative fi...
Cloud-based services are growing more rapidly than ever, and so does the management challenge on their providers’ side. Cloud-based datacenter networks are built with nodes of huge processing power, connected by high bandwidth capacities to carry their interior traffic requirements. However, such cloud networks still have limits that are imposed no...
Within an uncertain environment and following carbon trade policies, this study uses the Extended Exergy Accounting (EEA) method for coal supply chains (SCs) in eight of the world's most significant coal consuming countries. The purpose is to improve the sustainability of coal SCs in terms of Joules rather than money while considering economic, env...
Sustainability involves meeting the needs of present generation without compromising the requirements of future generations. It involves focus on three main pillars: economic, environmental and social for realizing overall performance. Sustainability assessment is very essential for business organizations to improve their competition capacity. Majo...
Sustainability is about meeting the needs of today without compromising the needs of future generations. It involves focus on three main dimensions economic, environmental and social for achieving overall performance. Majority of the companies are adopting sustainability for business growth and boosting their corporate image for long term competiti...
Supplier quality evaluation is a critical part of quality management in global supply chains. Poor supplier quality results in not only monetary losses but also negatively impacts the business potential and future growth of buyer organizations. In this thesis, we propose a multi-tier supplier quality evaluation framework based on total cost of owne...
A well-designed facility layout consists of an adequate arrangement of departments and an efficient material handling system that minimizes the total material handling cost between departments. Block layout design and input and output (I/O) points location are the two major decisions in that need to be made when designing the layout of a facility....
Traffic Congestion wastes time and energy, which are the two most valuable commodities of the current century. It happens when too many vehicles try to use a transportation infrastructure without having enough capacity. However, researches indicate that adding extra lane without studying the future consequences does not improve the situation. Our g...
Sustainable development agendas are challenging the world and ports, in particular, to find ways to become more efficient while meeting economic, social and environmental objectives. Although there has been a considerable body of documentation on green port practices and performance in Europe and America, there is limited synthesis about evaluation...
Collaboration among consumer good’s manufacturer and retailers is vital in order to elevate their performance. Such mutual cooperation’s, focusing beyond day to day business and transforming from a contract-based relationship to a value-based relationship is well received in the industries. Further coupling of information sharing with the collabora...
Many countries consider utilizing renewable energy sources such as solar photovoltaic (PV), wind, and biomass to boost their potential for more clean and sustainable development and to gain revenues by export. In this thesis, a top-down approach of solar PV planning and optimization methodology is developed to enable high-performance at minimum cos...
The selection of robust method for sustainability assessment of companies is a
challenging decision, particularly for manufacturers with high safety requirements and large number of consumers such as aerospace, automotive components and, oil & gas companies. These overriding industries consider environmental, social and governance (ESG) criteria as...
In response to current economic downturn coupled with intense global competition, concept of supply chain collaboration has emerged as a possible solution for firms aiming to gain competitive advantage through cost reduction, increased asset utilization and improving service levels. In this research, we have analytically examined and identified the...
Standards are the bottleneck of any aviation industrial action. Thus, meeting standards is not an option but an obligation throughout a given product life cycle. This thesis contributed to producing a SIPOC diagram of aviation standards and collecting pertaining information, beginning with international standards, and ending in national codes. Part...
Unsignalized Stop-Controlled Intersections (SCI) are widely used in North America, and account for one out of every ten collisions. Understanding how drivers and pedestrians behave at unsignalized intersections is critical for public safety. Drivers who do not obey the stop-sign’s indication by not coming to a complete stop or miss or fail to stop...
The increasing use of location-aware devices provides many opportunities for analyzing and mining human mobility. The trajectory of a person can be represented as a sequence of visited locations with different timestamps. Storing, sharing, and analyzing personal trajectories may pose new privacy threats. Previous studies have shown that employing t...
With the increasing population, the issue of pedestrian safety is currently of major concern in most cities of the world. Pedestrian safety is concerned with ensuring the well-being of pedestrians and reducing the potential risk areas as well as implementing measures to reduce accidents. The aim of this study is to propose a computer vision and clo...
The logistics of urban areas are becoming more sophisticated due to the fast city population growth. The stakeholders are faced with the challenges of the dynamic complexity of city logistics(CL) systems characterized by uncertainty effect together with the freight vehicle emissions causing pollution. In this conceptual paper, we present a research...
Mobility is a vital issue for residents and local governments, and it has an impact on sustainability, economy, and lifestyle [1]. Smart mobility focuses on real-time data accessibility [1]. Public Accessibility of real-time data helps smart mobility players to provide efficient, safe, sustainable, and high-quality transportation services [1]. This...
Carsharing is an alternative to private car usage. Using electric-vehicles as a substitute to fuel vehicles is a wiser option which leads to lower fuel emissions, more energy savings and decreased oil dependency. However, there are some barriers in using electric vehicles at large scale in carsharing companies. Battery power limitation and lack of...
Many of today's autonomous vehicle (AVs) improvements involve overcoming technology barriers to AV readiness. However, once AVs are out, acceptance and people's willingness (APW) to use remain a concern. As a result, the question arises. Are we attentive enough towards humans' aspects in the evolution of AV technology? Do we need to? The present di...
Facility Location Problems (FLPs) such as the Uncapacitated Facility Location (UFL) and the Capacitated Facility Location (CFL) along with the k-Shortest Path Problem (k-SPP) are important research problems in managing supply chain networks (SCNs) and related operations. In UFL, there is no limit on the facility serving capacity while in CFL such l...
Widespread acceptance of all electric vehicles faces two major challenges. First being the higher price tag compared to a similar utility IC engine vehicle, while giving equal or lesser range. Second being the under-developed infrastructure support for refueling. Current trends in Electric Vehicle (EV) industry shows an increase in battery capacity...
Transportation remains a major barrier in receiving cancer treatment in Canada. The situation is especially alarming for those living in rural areas and in the light of COVID pandemic, poses
another risk in the long list of health challenges to patients with pre-existing conditions. In this dissertation we set out find a solution to this problem by...
Group decision-making is a field of decision theory that has many strengths and benefits. It can solve and simplify the most complex and hard decision problems. In addition, it helps decisionmakers know more about the problem under study and their preferences. Group decision-making is much harder and complex than individual decision-making since gr...
The reverse logistics (RL) of aircrafts pose a big challenge to its owners due to the complexity of its RL network, and the inherit problems of realizing a reliable system for efficiently monitoring and tracking the numerous parts of end-of-life (EOL) aircrafts in the RL network. Radio frequency identification (RFID) technology, through its automat...
Over the past few years, Supply Chains (SC) have expanded rapidly in terms of dimensions and complexity (e.g., globalization, outsourcing, etc.). Besides, numerous practitioners and researchers proposed models mainly focused on minimizing SC’s total cost. Consequently, the potential financial advantages of reduced stock levels and inventory buffers...
Industry 4.0 is a significant shift and a tremendous challenge for every industrial segment, especially for the manufacturing industry that gave birth to the new industrial revolution. The research first uses literature analysis to sort out the literature, and focuses on the use of “core literature extension method” to enumerate the development dir...
ABSTRACT
Using Six Sigma to Achieve Sustainable Manufacturing
Min Zhang
Sustainability has been widely discussed from different points of view. Manufacturing is contributing a critical part of incompliance to environment and human rights in our modern society. While a lot of companies are seeking strategies to either promote corporation image or...
Assessing the Impact of Sustainable practices on organizational performance
Mina Jafari
Over the past few decades, there has been a growing pressure on organizations to be fully responsible for their business operations in order to minimize their environmental impact. These pressures have evolved the green practice adoption procedures that compani...
A Balanced Scorecard Framework for Measuring Sustainability Performance of Business Organizations
Varun Arora
Concordia University
Sustainability is about meeting the needs of today without compromising the needs of future generations. It involves focus on three main dimensions economic, environmental and social for achieving overall performance....
The arrival of the automobile changed the shape of 20th-century cities around the world, now in 21st-century, autonomous vehicles (AVs) and connected vehicles (CVs) will change the shape and culture of the world’s cities once more. AVs and CVs are being deployed all around the world; the reason for this rapid development is that AVs and CVs enrich...
Planning, organizing, and managing logistics activities by humanitarian organizations before and after a disaster like a flood, plays an important role in the minimization of public suffering. This thesis investigates two crucial issues that define disaster relief network designs; these are the presence of physical barriers, such as flooded regions...
Cross-efficiency method (CEM) is a well-known technique based on data envelopment analysis that provides policymakers with a powerful tool to measure the efficiency of decision-making units. However, there are two main gaps in the traditional CEM. First, it neglects the subjective preferences of decision-makers (DMs), and therefore, cannot reflect...
The coal supply chain in developing countries is supposed to have the lowest cost overall; however, in terms of sustainability (social, economic, and environmental aspects) and considering Joules rather than monetary objectives, does this assumption remain accurate? This research develops a sustainable model for coal supply chain in five countries...
Abstract
Digital transformation allows organisations to increase the efficiency of their operations, respond faster and make more accurate decisions, adapt quickly to a new reality, and improve the customer experience; however, many companies still face several obstacles and challenges on its path to digital transformation, including organisational...
Abstract
Management of information technology (IT) will continue to be an essential endeavour for organisations as we experience the increasing advancement of technology across different spectres of life. Managers will need to understand how technology is changing their business operations and the emergence of digital consumers who demand more inno...
Smart manufacturing is transforming the industry, and its adoption offers significant benefits to manufacturers, suppliers and customers, such as enhanced organisational performance, competitive advantage, mass customisation, improved sustainability and better collaboration. The objective of this research is to identify the implementation barriers...
This research evaluates five renewable energy resources simultaneously using multi-criteria decision analysis. It formulates a decision tool to assess five renewable energy sources namely solar photovoltaic, concentrated solar power, wind energy, biomass, and geothermal as alternatives and employs eight different quantitative criteria to evaluate t...
There is a significant decline in the number of intercity bus users in developing countries that makes company owners and service providers very concerned. Intercity bus service quality (BSQ) is significantly contributed to passenger satisfaction. Identification and improvement of the main criteria influencing the level of satisfaction are importan...
Producing high-quality products while sustaining minimal costs is the mandate of all successful manufacturing firms. While quality is at the heart of this model, extant literature neglects an analysis and hierarchical classification of its dimensions, especially for 4.0 polymer industry. To address this gap, this paper identifies an array of qualit...
Mobility Management in Urban Areas: Models and Perspectives
$230.00
Anjali Awasthi (Editor) – Montreal, QC, Canada
Series: Urban Development and Infrastructure
BISAC:SOC026030
Smart cities rely on information and communication technologies to enhance the quality of life of their citizens. This includes better use of transportation infrastructure...
The effective use of technology means that many real-world problems can be solved by leveraging different technological techniques. One of such real-world problems is the trace and track of goods, materials, and items in the logistic industry. As is it known, the entire supply chain industry is filled with the efforts made to ascertain both the pas...
Increasing Pedestrian Safety is currently an issue that most countries are facing as pedestrian security is of prime concern. This paper aims to propose a technique that utilizes the camera data collected for each street by Montreal’s government. The collected data is used to train a neural network using simulation and TensorFlow, which then identi...
The number of publications in demand forecasting of the energy supply chain augmented meaningfully due to the 2008 global financial crisis and its consequence on the global economy, mainly in energy supply chains. In spite of the fact that Industry 4.0 emerged during this period, its solutions and their impacts on energy demand forecasting are not...
In today’s world some technology companies are using sophisticated IT systems to integrate urban services and infrastructures. The smart city is made up of different parts that make the Internet of Things one of the most important infrastructural necessities for optimizing process automation functions. With the increase in world population and the...
Multi-tier supply chains in Industry 4.0 are critical emerging issues today. This article briefly examines the Industry 4.0 policies in different countries. In order to decide on a better model and the number of topics in the model, a comparative test of the coherence value for two machine learning classification methods based on Latent Dirichlet A...
Facility location problems (FLP) are often solved as uncapacitated facility location (UFL) instances. Also, typical solution approaches in the literature assume that the established facilities are totally reliable. However, in practice, facilities have limited capacity and can be under risk of partial disruptions whereby their failure leads to a no...
In this study, we developed a generic cost-effective approach for spatially explicit decision support involving the allocation of road repair treatments. The approach begins with an assessment of the existing road condition to identify the extent of environmental impacts and to determine road repair regimes in a subjective manner using group-decisi...
Pedestrian safety has become an inherent problem all over the world. This work provides a unique framework for pedestrian safety using the Internet of Things. It aims to provide an IoT built motion-sensing system that ensures the safety of the pedestrians by providing smart notifications on their mobile devices of incoming vehicles as well as LED s...
In recent days, both collaboration and sustainability have become an integral part of many global supply chains to achieve business excellence. Although previous literature and actual practices confirmed the successful implementation of sustainability practices through supply chain collaborations, it is not clear how collaborating partners can supp...
This review aims to investigate the advanced collected works on sustainability and Industry 4.0 in the supply chain (SC) management from both academic and industrial standpoints. Hence, a review of the literature from 2010 to 2018 has been presented, knowledge gaps and all areas of application in the assumed investigation topic are highlighted, and...
In group decision-making, reaching to a level of agreement about the decision between the group members is important. Indeed, it is considered as the main challenge to be solved in any group decision-making problem. Typically, similarity and distance measures are used to measure the degree of similarities of preference intensities in group decision...
Integration of cloud computing and the Internet of things can influence large as well as small-scale organizations in transforming their business systems for high performance. However, in developing nations like India, cloud of things is relatively novel, and there is a need for its proper understanding specifically, in small and medium scaled ente...
The proposed study evaluates the key skills needed to support Industry 4.0 from a literature review and practice perspective. A detailed review of literature targeting the Industry and Education sectors is performed. Canadian manufacturing and service industries and Polish automotive and pharmacy sectors are investigated. Decision-making, leadershi...
Sustainable Production and Sustainable Logistics has been discussed extensively in the scientific literature. The objective of this chapter is to depict a landscape of scientific literature on the concept of the Sustainable Production and Sustainable Logistics. This concept in recent years is gaining more and more attention from academics and pract...
This book proposes essential methods, models, and case studies for Sustainable Logistics and Production in Industry 4.0. In addition to identifying and discussing various challenges and future prospects, it also features numerous case studies and quantitative research from different sectors. The authors (which include academics and managers) presen...
Prediction of greenhouse gas (GHG) emissions is important to minimise their negative impact on climate change and global warming. In this article, we propose new models based on data mining and supervised machine learning algorithms (regression and classification) for predicting GHG emissions arising from passenger and freight road transport in Can...
In this paper, we propose two new methods to solve the problem of incomplete reciprocal fuzzy preference relations. Sometimes decision-maker(s) might not be able to provide complete information about their preferences on the alternatives. In general, an incomplete preference relation can be completed if at least a set of n−1 nonleading diagonal pre...
Supplier selection is critical for sustainability management in global supply chains. In this chapter, the authors present a content analysis based literature review for global sustainable supplier selection. The supplier selection is investigated along four dimensions, namely economic, environmental, social, and global. The results of the study yi...
Traffic congestion is a widely occurring phenomenon characterized by slower vehicle speeds, increased vehicular queuing and, sometimes, a complete paralysis of the traffic network. Traffic congestion prediction requires analyzing enormous amount of traffic data across multiple modalities, including traffic cameras, GPS or location information, Twit...
Cellular manufacturing is a vital part of lean manufacturing. It is an application of group technology. Three problems in cellular manufacturing are cell formation, machine layout and cell layout problems. However, these problems are NP-hard optimisation problems and cannot be solved using exact methods. A difficult part is to form the machine grou...
Recommender systems support consumers in decision-making for selecting desired products or services from an overloaded search space. However, this decision support system faces difficulties while dealing with sparse and noisy rating data. Therefore, this research re-classifies users and items of a system into three classes, namely strong, average a...
This article presents a strategic decision support system (DSS) for on-demand delivery companies in urban areas. This DSS is designed and developed for the promising new concept of goods delivery based on a fleet of Shared Autonomous Electric Vehicles (SAEVs). A simulation-based optimization model is proposed to solve the fleet sizing and compositi...
The site selection for a solar photovoltaic power plant is crucial, as the site characteristics have a direct impact on the project economic and technical aspects and thus on its success. The objective of this study is to enhance the methods to assess the potential locations for utility-scale solar PV, considering multiple criteria including solar...
Transportation systems are growing and complex systems. The presence of multiple, correlated, dynamically changing elements in this system with dependence and feedback add further complexity to the problem. In this paper, we present an integrated approach based on system dynamics (SD) simulation and analytic network process (ANP) for evaluating sus...
Confronted with negative environmental impacts, rising fuel costs and increasing congestion, many cities are implementing sustainable mobility measures to improve the flow of passenger and goods. Examples of these measures are use of public transport, cycling, walking, energy efficient vehicles, biofuels. The challenge before transport decision mak...
More and more organizations are involved in green supply chain practices to sustain business market competition, achieve customer loyalty, improve brand image, and minimize negative environmental impacts. Examples of these practices are green design, green purchasing, green manufacturing, green packaging, green logistics, and green marketing. In th...
Purpose
This research examines the relationship between implementation of Quality Management Systems (QMS) and business performance, through mediating factors (operating performance, information quality, product quality, design performance, environmental performance and competitive priorities). Most of the published literature examines the direct...
Facility location represents an important supply chain problem aiming at minimizing facility establishment and transportation cost to meet customer demands. Many facility location problem (FLP) instances can be modelled as p-median problems (PMP) and uncapacitated facility location (UFL) problems. While, most solution approaches assume totally reli...
Scientist and practitioner seek innovations that analyze traffic big data for reducing congestion. In this chapter, we propose a framework for traffic condition monitoring using social media data analytics. This involves sentiment analysis and cluster classification utilizing the big data volume readily available through Twitter microblogging servi...
Sustainability evaluation of new urban mobility projects is a challenging decision due to the presence of multiple objectives (social, economic, environmental), limited data availability, presence of multiple stakeholders, and specific context of each city. Scenario modeling and simulation is a useful tool to address such situations. In this paper,...
Demand for the products change with the time and thus production, promotion, pricing, etc. should be adopted at the time. In general, it is true for many hi-tech consumer products such as PCs, Mobiles, TVs and phones where demand is low and prices are high in the beginning and demand pick-up with a possible price drop in the growth face. In this wo...
Sustainable mobility project evaluation is a challenging problem for transportation decision-makers. The specific context of each city, involvement of multiple objectives of stakeholders, governmental priorities, uncertainty about evaluation process and metrics combined with lack of quantitative data make the problem challenging. Existing technique...
Identifying critical criteria for supplier quality development is vital for improving the performance of suppliers. In this paper, we determine critical criteria for supplier quality development based on review of literature and discussion with supplier quality experts from industry. The criticality of the criteria is determined based on: (a) Kano’...
Politico-economic deregulation, new communication technologies, and cheap transport have pushed companies to increasingly outsource business activities to geographically distant countries. Such outsourcing has often resulted in complex supply chain configurations. Because social and environmental regulations in those countries are often weak or poo...
Managing logistics service quality is vital to achieving higher levels of customer satisfaction and gaining productivity. In this paper, we address the problem of logistics service quality management considering multiple stakeholders point of view namely shippers, customers, municipal administrators, city residents, traffic managers, etc. A hybrid...
Green supply chain management has emerged as a trending topic of discussion for organisations thriving for enhanced competitive advantages, increased customer satisfaction, improved brand image, and of course minimum adverse impacts on the environment. The primary objective of this research is to perform literature analysis on the green supply chai...