- Sustainable Supply Chain Management
- Quality and Supply Management
- Blockchain Technology Applications and Security
- Optimization and Mathematical Programming
- Infrastructure Maintenance and Monitoring
- Spam and Phishing Detection
- Digital Transformation in Industry
- Smart Parking Systems Research
- Environmental Sustainability in Business
- Multi-Criteria Decision Making
- Manufacturing Process and Optimization
- Cryptography and Data Security
- Recycling and Waste Management Techniques
- Advanced Manufacturing and Logistics Optimization
- Supply Chain Resilience and Risk Management
- Educational Assessment and Pedagogy
- Cloud Data Security Solutions
- Bauxite Residue and Utilization
- Vehicle Routing Optimization Methods
- Aluminum Alloy Microstructure Properties
- Traffic Prediction and Management Techniques
- Facilities and Workplace Management
- Quality Function Deployment in Product Design
- Concrete and Cement Materials Research
- Industrial Vision Systems and Defect Detection
Hamad bin Khalifa University
2023-2024
Khulna University of Engineering and Technology
2017-2024
Qatar Foundation
2024
Texas Department of Transportation
2023-2024
The University of Texas at Austin
2022-2024
Colorado State University
2023
Prime University
2021
Queensland University of Technology
2012
Green–lean supply chain management (GLSCM) refers to strategically adopting and coordinating environmentally sustainable practices lean concepts in operations. A considerable set of factors needs be identified implement GLSCM successfully. This study examined the influencing green implementation Readymade Garments Industries Bangladesh through a literature review discussions with field experts. The fuzzy decision-making trial evaluation laboratory (fuzzy DEMATEL) approach is employed analyze...
The industrial revolution in the world brings environmental concern and production sector which puts more focuses on green or sustainable supply chain practice. Green management is focused ensuring customer order fulfillment through a series of activities. In this study internal factors practice are analyzed, theoretical model developed according to driving power dependence factor. This performed interpretive structural modelling (ISM) approach where industry experts were consulted include...
Abstract Lean strategies have been developed to eliminate or reduce waste and thus improve operational efficiency in a manufacturing environment. However, practice, manufacturers encounter difficulties select appropriate lean within their resource constraints quantitatively evaluate the perceived value of reduction. This paper presents methodology contribution selected wastes manufacturers' (time) constraints. A mathematical model has for evaluating reduction step-by-step is provided...
This study develops a hybrid model to investigate the factors affecting transnational e-commerce supply chain resilience (TNSCRE) by integrating Entropy Weight Method (EWM), Simple Additive Weighting (SAW), and Interpretive Structural Modeling (ISM). The identifies 36 critical categorized under adaptability, efficiency, evolution, five criteria are used rank these factors. EWM is calculate relative weights of criteria, SAW method based on their weighted scores. ISM then evaluate...
The higher education sector is facing challenges to meet the market demand of skilled workers in era 4th Industrial Revolution (4IR). This study explores educational supply chain management systems Bangladesh. Qualitative data were collected through interview with stakeholders and analyzed conceptualize a thematic framework for chain. Findings identify key skills required developing market-ready workforce ways incorporate curriculum. findings also illustrate changes university culture,...
This study investigates the challenges in implementing blockchain technology (BT) sustainable supply chain management (SSC). The thoroughly analyzes literature and expert opinions on BT, SCM, sustainability. A total of 24 barriers are identified, categorized into Internet Things, strategic, chain, legislation, external factors. findings evaluated using Integrated Fuzzy TOPSIS–ISM tool. results indicate that related to have most significant impact adoption BT SSC. also reveals interrelation...
The fuel consumption of a vehicle depends on its gross weight, which varies as goods are successively unloaded at each wholesaler site or distribution centre within transportation network. There exist multiple routes and many wholesalers with different demand quantities the Again, cost according to route depot location (DL) from departs. Hence, this article aims determine optimal DL for Ly-Foods Ltd.'s network, utilising capacitated fulfil wholesalers' demands, based weight (GVW). First, we...
Abstract This research explores the contribution of Blockchain Technology and Industry 5.0 in driving sustainability within Bangladeshi Ready-Made Garments (RMG) industry, with a focus on alignment key Sustainable Development Goals (SDGs). The study employs Interpretive Structural Modeling (ISM) fuzzy Decision-Making Trial Evaluation Laboratory (DEMATEL) methods to identify analyze 14 critical synergies that can drive sustainability. ISM analysis categorizes into independent, dependent,...
Highways play an important role in economic and social development at both national regional levels. As a major component of highway infrastructure, pavements require significant funding to be maintained acceptable level service. Allocating the budget for pavement maintenance rehabilitation (M&R) is complex decision-making process agency. This allocation across M&R activities districts becomes challenging with presence multiple stakeholders, constrained budgets, customer satisfaction,...
Aluminium matrix composites (AMCs) used extensively in various engineering fields due to their exceptional mechanical properties. In this present study, aluminium such as alloy (A356) reinforced with rice husk ash particles (RHA) are made explore the possibilities of reinforcing alloy. The stir casting method was applied produce amounts (2%, 4%, and 6%) particles. Physical treatment carried out before manufacturing process. effect strength fabricated hybrid composite investigated. Therefore,...
Accurate demand forecasting is crucial for optimizing supply chain management. Traditional methods often fail to capture complex patterns from seasonal variability and special events. Despite advancements in deep learning, interpretable models remain a challenge. To address this, we introduce the Multi-Channel Data Fusion Network (MCDFN), hybrid architecture that integrates Convolutional Neural Networks (CNN), Long Short-Term Memory networks (LSTM), Gated Recurrent Units (GRU) enhance...
The utilization of waste material as aggregates in the pavement industry can allow dispersal well help to prevent environmental pollution. It provides a great economical solution overcome scarcity natural aggregate Bangladesh. purpose present study is explore opportunity find feasibility steel slag an alternative by analyzing and comparing properties with other construction materials. In this study, it was observed that physical mechanical were satisfactory. CBR value coarse has escalated...
Workers’ performance and efficiency are dependent on their workplace facilities. The present study attempts to identify the six physical factors of environment: furniture equipment design, air quality, temperature, sanitation, lighting noise. Workers' feedback is evaluated by using 5 scale Likert method it found that temperature most critical for workers' performance. purpose this impressions about environment provide a better understanding managers improvement. Industry-level emphasis these...
Highways promote economic growth and social development. Traditionally, pavement management considers conditions for maintenance rehabilitation (M&R) decision-making along with system constraints. One of the major tasks highway agencies is to safety. Highway safety involves a complicated interaction multiple factors. However, it well established that there link between surface friction Pavement characteristics affect comfort passengers. Since process only physical in M&R...
Pavement network conditions deteriorate over the years of use. To keep pavement at acceptable levels, highway agencies plan maintenance and rehabilitation (M&R) programs perform accordingly. Highway usually face budget variability for M&R activities because limited resources, economic conditions, changes in policies. The situation makes it difficult to an condition level. Therefore, is important adopt policies that can maximize as well handle deviation considering available funds. In...
Communication through email plays an essential part especially in every sector of our day-to-day life. Considering its significance, it is important to filter spam emails from emails. Spam email, also known as junk unwanted messages that are sent by the electronic medium large quantities. Most commercial nature not only irritating but harmful due malicious scams or malware-hosting sites use viruses attached message. In this paper, we identify and expose how can be distinguished...
Access to an electronic health record (EHR) is very heavily regulated through many different types of policies: federal-level policies, state-level statutes, and even local organizational-level which may, for example, include procedures follow at the organization level ensure compliance with other policies. In addition, individual patients can also establish agreements their healthcare providers express consent related access or sharing protected records. When such policies are adequately...