A5056526187- Scheduling and Optimization Algorithms
- Advanced Manufacturing and Logistics Optimization
- Manufacturing Process and Optimization
- Sustainable Supply Chain Management
- Supply Chain and Inventory Management
- Assembly Line Balancing Optimization
- Vehicle Routing Optimization Methods
- Flexible and Reconfigurable Manufacturing Systems
- Supply Chain Resilience and Risk Management
- Product Development and Customization
- Quality and Supply Management
- Maritime Ports and Logistics
- Metaheuristic Optimization Algorithms Research
- Optimization and Packing Problems
- Digital Transformation in Industry
- Multi-Criteria Decision Making
- Industrial Vision Systems and Defect Detection
- Urban and Freight Transport Logistics
- Recycling and Waste Management Techniques
- Maritime Transport Emissions and Efficiency
- Web and Library Services
- Business Process Modeling and Analysis
- Collaboration in agile enterprises
- Food Waste Reduction and Sustainability
- Facility Location and Emergency Management
Indian Institute of Technology Kharagpur
2015-2024
Panjab University
2024
Sultan Qaboos University
2024
Indian Institute of Management Mumbai
2020-2024
Indian Institute of Management Ahmedabad
2023-2024
National Institute of Fashion Technology
2021-2024
University of Burdwan
2024
JECRC University
2023
Marymount University
2021
Google (United States)
2021
The metaverse has the potential to extend physical world using augmented and virtual reality technologies allowing users seamlessly interact within real simulated environments avatars holograms. Virtual immersive games (such as, Second Life, Fortnite, Roblox VRChat) have been described as antecedents of offer some insight socio-economic impact a fully functional persistent cross platform metaverse. Separating hype "meta…" rebranding from current is difficult, "big tech" paints picture...
An outbreak of deadly COVID-19 virus has not only taken the lives people but also severely crippled economy. Due to strict lockdown, manufacturing and logistics activities have been suspended, it affected demand supply various products as a result restrictions imposed on shopkeepers retailers. Impacts are observed ubiquitously in every type units from different sectors. In this study, simulation model public distribution system (PDS) network is developed with three scenarios demonstrate...
Abstract Global supplier selection has a critical effect on the competitiveness of entire supply chain network. Research results indicate that process appears to be most significant variable in deciding success chain. It helps achieving high quality products at lower cost with higher customer satisfaction. Apart from common criteria such as and quality, this paper also discusses some important decision variables which can play role case international sourcing. The importance...
The machine learning (ML) field has deeply impacted the manufacturing industry in context of Industry 4.0 paradigm. paradigm encourages usage smart sensors, devices, and machines, to enable factories that continuously collect data pertaining production. ML techniques generation actionable intelligence by processing collected increase efficiency without significantly changing required resources. Additionally, ability provide predictive insights enabled discerning complex patterns offers a...
Economic dispatch is a highly constrained optimization problem encompassing interaction among decision variables. Environmental concerns that arise due to the operation of fossil fuel fired electric generators, transforms classical into multiobjective environmental/economic (EED). In this paper, fuzzy clustering-based particle swarm (FCPSO) algorithm has been proposed solve EED involving conflicting objectives. FCPSO uses an external repository preserve nondominated particles found along...
This discussion paper aims to set out the key challenges and opportunities emerging from distributed manufacturing (DM). We begin by describing concept, available definitions consider its evolution where recent production technology developments (such as additive continuous process technologies), digitisation together with infrastructural (in terms of IoT big data) provide new opportunities. To further explore evolving nature DM, authors, each whom are involved in specific applications DM...
The purpose of this paper is to delineate a green supply chain (GSC) performance measurement framework using an intra-organisational collaborative decision-making (CDM) approach. A fuzzy analytic network process (ANP)-based green-balanced scorecard (GrBSc) has been used within the CDM approach assist in arriving at consistent, accurate and timely data flow across all cross-functional areas business. causal relationship established linked ANP involves organisational commitment, eco-design,...
Supply chain risk propagation is a cascading effect of risks on global supply networks. The paper attempts to measure the behaviour following assessment propagation. Bayesian network theory used analyse multi-echelon faced with simultaneous disruptions. ripple node disruption evaluated using metrics like fragility, service level, inventory cost and lost sales. Developed exposure resilience indices support in assessing vulnerability adaptability each network. research provides holistic...
The use of Unmanned Aerial Vehicles (UAVs) in delivery logistics has become an efficient solution with the advancement autonomous robotics. This paper proposes a novel mechanism that synchronizes drones and trucks; particularly case where trucks can work as mobile launching retrieval sites. problem is Vehicle Routing Problem Time Windows Synchronized Drones. A multi-objective optimization model developed two conflicting objectives, minimizing travel costs maximizing customer service level...
In the rapidly evolving landscape, digitising operations and facilities in a supply chain network is essential to make system autonomous develop strategies for enhancing resilience, transparency, efficiency. The COVID-19 pandemic highlights necessity of sustainable solutions hybrid mode operations. To overcome several challenges, including price optimisation, demand forecasting under uncertainty, supply-demand gap reduction, take into account vulnerability, competitive business environment...
Research and development (R&D) project selection is a complex decision-making process. It involves search of the environment opportunities, generation options, evaluation by different stakeholders multiple attributes, both qualitative quantitative. Qualitative attributes are often accompanied certain ambiguities vagueness because dissimilar perceptions organizational goals among pluralistic stakeholders, bureaucracy functional specialization members. Such differences in hinder attainment...
Disassembly operations are inevitable elements of product recovery with the disassembly line as best choice to carry out same. In light different structures returned products (models) and variations in task completion times, process could not be efficiently mapped on a simple straight line. Another important issue that needs consideration is task-time variability pertaining human factor. order resolve these complexities Mixed-Model U-shaped Line Stochastic Task Times has been proposed this...
Purpose To determine the key reverse logistics variables, which top management should focus so as to improve productivity and performance of computer hardware supply chains. Design/methodology/approach In this paper, an interpretive structural modeling (ISM) based approach has been employed model variables typically found in These have categorized under “enablers” “results”. The enablers are that help boost while results outcome good practices. Findings A finding is environmental concern...
Global supply chains are vulnerable towards different types of risks and dynamically expanding with the increase in globalisation. Costs associated every risk factor that causes disturbances allocation certain goods at required place time, quality quantity. In this paper, we consider a multi-echelon global chain model, where raw material suppliers, manufacturers, warehouses markets located countries. The paper first identifies all operational factors, their expected value probability...
Production planning of a flexible manufacturing system (FMS) is plagued by two interrelated problems, namely 1) part-type selection and 2) operation allocation on machines. The combination these problems termed machine loading problem, which treated as strongly NP-hard problem. In this paper, the problem has been modeled taking into account objective functions several constraints related to flexibility machines, availability machining time, tool slots, etc. Minimization unbalance (SU),...