A5101598829- Sustainable Supply Chain Management
- Quality and Supply Management
- Collaboration in agile enterprises
- Supply Chain Resilience and Risk Management
- Supply Chain and Inventory Management
- Business Process Modeling and Analysis
- Forensic Anthropology and Bioarchaeology Studies
- Innovation and Knowledge Management
- Service-Oriented Architecture and Web Services
- Scheduling and Optimization Algorithms
- Environmental Impact and Sustainability
- Advanced Manufacturing and Logistics Optimization
- Software Engineering Techniques and Practices
- Recycling and Waste Management Techniques
- Environmental Sustainability in Business
- Multi-Criteria Decision Making
- Transportation and Mobility Innovations
- Urban Transport and Accessibility
- Outsourcing and Supply Chain Management
- Traffic and Road Safety
- Cloud Computing and Resource Management
- Semantic Web and Ontologies
- Cloud Data Security Solutions
- Maritime Ports and Logistics
- Urban and Freight Transport Logistics
University of Warwick
2022-2024
Loughborough College
2021-2022
Loughborough University
2010-2021
Indian Institute of Engineering Science and Technology, Shibpur
2019
King Saud University
2018
Glocal University
2018
University of Sheffield
2011-2014
National Institute of Advanced Manufacturing Technology
2005-2010
Science North
2010
Institute of Chartered Financial Analysts of India
2005
Industry 4.0 offers massive potential for implementing sustainability, which is a growing concern global manufacturing industries. This paper investigates the impact of implementation with specific emphasis on digital transformation sustainability dimensions European In doing so, we propose framework to identify implications reconciliation firm's existing and new dynamic capabilities, competencies, market requirements achieve sustainable competitive advantage. Using multiple case research...
Cloud computing has become an increasingly prevalent topic in recent years. However, migrating hitherto internal IT data and applications to the cloud is associated with a wide range of risks challenges. The study reported this paper aims explore potential that organisations may encounter during adoption, as well assess prioritise these risks, from perspective practitioners consultants. A questionnaire was designed distributed group 295 highly experienced professionals involved developing...
This research develops a MapReduce framework for automatic pattern recognition based on fault diagnosis by solving data imbalance problem in cloud-based manufacturing (CBM). Fault CBM system significantly contributes to reduce the product testing cost and enhances quality. One of major challenges facing big analytics is handling data-sets, which are highly imbalanced nature due poor classification result when machine learning techniques applied such data-sets. The proposed this uses hybrid...
This research addresses the sustainability and safety related challenges associated with complex, practical, real-time maritime transportation problem, proposes a multiobjective mathematical model integrating different shipping operations. A mixed integer nonlinear programming (MINLP) is formulated considering operations, such as routing scheduling of ships, time window concept port's high tidal scenario, discrete planning horizon, loading/unloading operation, carbon emission from vessel,...
There has been extensive academic research on the optimisation of reverse logistics (RL) and closed-loop supply chain (CLSC) network design. However, existing literature is lacking in several features practical relevance, simultaneous consideration dynamic characteristics, including multi-period setting, inventory factors, environmental footprints, scalability application. This shortcoming primarily due to challenges associated with computation complexity, mathematical formulation, need for...
Abstract The increasing importance of sustainability has put pressure on organisations to assess their supply chain performance, which requires a holistic set key performance indicators (KPIs) related strategic, tactical and operational decision making firms. This paper presents comprehensive KPIs for sustainable management using mixed method approach including analysing data from the literature survey, content analysis reports manufacturing firms expert interviews. A 3-level hierarchical...
This research formulates a multi-objective problem (MOP) for supply chain network (SCN) design by incorporating the issues of social relationship, carbon emissions, and risks such as disruption opportunism. The proposed MOP includes three conflicting objectives: maximization total profit, minimization opportunism risks, emission considering number constraints. Furthermore, this analyses effect relationship levels between different tiers SCN on profitability, risk, over time. In regard, we...