Prasenjit Chatterjee

Prasenjit Chatterjee
MCKV Institute of Engineering · Department of Mechanical Engineering

Ph.D, FISROSET, FIEDRC, MIE(I), CEng (India)
Multi-Criteria Decision-Making, Circular Economy, Supply Chain Analytics, Production and Operations Management

About

223
Publications
75,225
Reads
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6,540
Citations
Introduction
Dr. Prasenjit Chatterjee is a Professor of Mechanical Engineering and Dean (Research and Consultancy) at MCKV Institute of Engineering, India (NAAC Accredited "A" Grade Autonomous Institute under UGC Act, 1956). He is the Lead Series Editor of Smart and Intelligent Computing in Engineering, Chapman and Hall / CRC Press. He is the Founder and Lead Series Editor of "Concise Introductions to AI and Data Science", Scrivener - Wiley.
Additional affiliations
January 2021 - April 2021
MCKV Institute of Engineering
Position
  • Consultant
Description
  • Teaching, research and administrative responsibilities.
November 2019 - present
Frontiers of Mechanical and Industrial Engineering, Apple Academic Press, co-publishing with CRC Press, Taylor and Francis Group
Position
  • Editor
July 2018 - March 2020
AAP Research Notes on Optimization and Decision Making Theories, Apple Academic Press, a partner of CRC Press, Taylor and Francis Group
Position
  • Editor

Publications

Publications (223)
Article
Full-text available
This paper proposes a novel decision-support system (DSS) to assist decision-makers in the ULTIMO project with integrating Autonomous Vehicles (AVs) in Geneva, Switzerland. Specifically, it aids in selecting the best scenario for incorporating AVs into Geneva’s public transportation system. The proposed DSS is architected on a combined integrated f...
Article
Continuous performance measurement is the primary strategy for achieving business success in the current competitive global environment. The performance measurement scheme is a framework for evaluating the efficacy of the supply chain. The objective of this article is to analyze the existing literature and identify potential future research topics...
Article
The process of supplier selection in supply chain management is a multi-criteria decision-making (MCDM) problem, characterized by several conflicting criteria. Despite the extensive research on MCDM in supplier selection , the healthcare sector has received limited attention compared to clinical operations research. A significant hurdle in evaluati...
Book
Full-text available
This book pioneers the synergy between state-of-the-art edge computing technologies and the power of operations research. It comprehensively explores real-world applications, demonstrating how various operations' research techniques enhance edge computing’s efficiency, reliability and resource allocation. Innovative solutions for dynamic task sched...
Article
Full-text available
This paper explores the evolution, applications, and prospective developments of a very popular multi-criteria decision-making (MCDM) method called Measurement of Alternatives and Ranking according to COmpromise Solution Method (MARCOS). Employing an extensive bibliometric analysis, the study examines 115 pertinent articles sourced from the Scopus...
Article
Full-text available
Selecting the right educational vendors in the Metaverse, particularly those utilizing extended reality (XR), is crucial for creating an engaging and immersive learning environment. Careful vendor selection ensures the delivery of high-quality XR educational content, considering factors such as seamless integration with different XR devices and add...
Article
Full-text available
Please cite this article as: Zakeri S, Konstantas D, Bratvold RB, Chatterjee P, A cleaner supplier selection model using rate-weight connected vectors processor (RWCVP): Type I, Journal of Cleaner Production (2024), doi: https://doi. Abstract Addressing uncertainty is crucial when it comes to solving the problem of selecting cleaner suppliers. Unce...
Article
Full-text available
In the face of the increasingly demanding of goods transportation and storage, the orchestration of cold chain logistics emerges as a critical and multifaceted endeavor. This study, addressing a notable gap in literature, establishes a comprehensive framework for temperature monitoring within cold chain logistics, focusing particularly on transport...
Article
The concept of circular economy (CE) is gaining attention from businesses and government agencies as a crucial approach to combat climate change. With increasing consumer concern for environmental and social issues, there is a growing emphasis on supporting sustainable and circular supply chains. The selection of appropriate suppliers is recognized...
Article
Full-text available
This paper focuses on a comparative analysis between two multi-criteria decision-making (MCDM) methods, called the Simple Ranking Process (SRP) and Faire Un Choix Adéquat (FUCA). Two examples are used to reveal the similarities and differences between these two methods. The findings established that both methods share the use of an internal ranking...
Article
Full-text available
This paper presents a comprehensive bibliometric analysis of Multi-Attributive Border Approximation Area Comparison (MABAC) method using the Biblioshiny application of the bibliometrix package, R program and VOSviewer tools to provide a holistic view of the research landscape by identifying its evolution, major contributors and most influential res...
Article
Full-text available
Feature selection is a critical component of machine learning and data mining which addresses challenges like irrelevance, noise, redundancy in large-scale data etc., which often result in the curse of dimensionality. This study employs a K-nearest neighbour wrapper to implement feature selection using six nature-inspired algorithms, derived from h...
Article
Full-text available
Green manufacturing (GM) barriers encompass challenges and obstacles that impede the seamless adoption and effective implementation of environmentally sustainable practices within the manufacturing industry. This paper is dedicated to identifying, analyzing, ranking, and modeling the primary barriers that hinder the integration of GM practices. The...
Chapter
The stock market has an important role in the development of modern society. They allow the deployment of economic resources. Changes in stock prices reflect changes in the market. With powerful data processing capabilities in many fields, deep learning is also widely used in the financial field such as: stock market prediction, optimal investment,...
Chapter
Employees are viewed as an asset that leads to an organization’s growth. As competition grows in the market, the attrition of employees increases. Consequently, employee attrition can be a major problem for businesses, particularly when there is mobility or movement of technically skilled employees, in search of better opportunity. This results in...
Article
Full-text available
The purpose of this paper is to present a decision support framework, able to assess and optimize the energy use in smart cities. This paper has taken a sincere endeavour to develop an innovative integrated analytical framework as a benchmark to understand to what extent the energy has been consumed in smart city spectrum. Initially five sectors (c...
Article
Full-text available
Material selection plays a pivotal role in engineering and design, profoundly influencing product performance, cost, and sustainability. Traditional approaches to material selection typically involve an intricate interplay of multiple criteria, encompassing mechanical properties, environmental impact, cost, and availability. To grapple with this co...
Article
Full-text available
Ineffective evaluation of open-source software learning management system (OSS-LMS) packages can negatively impact organizational effectiveness. Clients may struggle to select the best OSS-LMS package from a wide range of options, leading to a complex multi-criteria group decision-making (MCGDM) problem. This evaluates OSS-LMS packages based on sev...
Article
Full-text available
This paper presents a new approach for consensus-based group decision making using bipolar fuzzy sets (BFSs). BFSs are effective tools for handling bipolarity and fuzziness, and they have been applied in various fields such as artificial intelligence, data science, and economics. However, there are currently no aggregation operators (AOs) that can...
Article
Full-text available
Supply chain management (SCM) has gradually evolved beyond the straightforward logic of benefits and economic viewpoints. Supplier selection and performance evaluation are the crucial strategic components of any SCM system with a substantial economic impact and risk reduction. Several conflicting factors make supplier selection a challenging multi-...
Article
Full-text available
A large number of materials and various criteria fashion material selection problems as complex multicriteria decision-making (MCDM) problems. This paper proposes a new decision-making method called the simple ranking process (SRP) to solve complex material selection problems. The accuracy of the criteria weights has a direct impact on the outcomes...
Chapter
With the rapid development of information technology, the study of human emotion and behavior has become more and more important. The generation of human behavior comes from the response of sensory stimuli from external factors. The current emotion detection process mainly uses artificial intelligence technology to capture the facial features of th...
Chapter
E-commerce and social network make sentiment analysis be more important to businessmen. This is a process to detect opinion in text which is positive or negative. This research focuses on doing sentiment analysis and applies it to recommender system. Doing sentiment analysis, we apply both feature extraction with TF-IDF and word embedding to train...
Chapter
With the increasing use of Blockchain, community has become increasingly worried about its security, that has led to substantial research by academics, with anomaly detection being a major issue. Regardless of the fact that they can provide availability and integrity, the bulk of public Blockchain systems are decentralized and have minimal confiden...
Article
The research aims to explore the strength of enablers and adoption barriers in omnichannel retailing (OCR) and discuss how organizations may focus on redesigning their business models in emerging markets to manage the disruptive environment. The major enablers may enhance the omnichannel' performance to deliver a unified experience across all chann...