Susmita Bandyopadhyay

@buruniv.ac.in

Assistant Professor, Grade II, Department of Business Administration
The University of Burdwan, West Bengal, India-713104

Susmita Bandyopadhyay


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https://researchid.co/susmitabandyopadhyay
Authored 5 books among which 4 are under CRC Press (Taylor & Francis Group) and 1 is under IGI Global; Reviewer of 32 referred International journals; Editorial Assistant of 2 International journals; Book Series Editor; Author of total 32 research papers published in referred International Journals; Author of 34 research papers published in different referred International Conference Proceedings; Author 4 research papers published in International Book Series; GATE and CAT scorer; having 24+ years' of teaching, industrial and research experience, with some more academic achievements.

EDUCATION

PhD (Engineering), M.Tech. (Industrial Engineering and Management), MBA (Systems Management), MCA, DOEACC B Level (B.Tech. -IT equivalent diploma)

RESEARCH, TEACHING, or OTHER INTERESTS

Management Science and Operations Research, Decision Sciences, Information Systems and Management, Industrial and Manufacturing Engineering
27

Scopus Publications

839

Scholar Citations

12

Scholar h-index

14

Scholar i10-index

Scopus Publications

  • Business Analytics: Theory and Practice
    Susmita Bandyopadhyay
    Business Analytics Theory and Practice, 2025
    Business Analytics is an emerging area which encompasses various technical understanding, essential for both engineering and management fields of study. This book presents detailed theoretical study of business analytics, including analytical methods from various aspects, such as descriptive and predictive analytics, statistical distributions, multivariate statistical analysis, time series analysis, simulation concept, optimization theory, neural network concepts, various learning techniques, visualization techniques and performance metrics. Features: Illustrates all the existing common analytics presented in this book in significant detail Covers analytics, statistical concepts, multivariate statistical analysis, time series analysis, optimization, neural network and decision analysis Reviews various learning techniques, simulation, visualization techniques and performance metrics Puts emphasis on Python and R in context of business analytics Includes figure-based, graphical descriptions along with numerical examples This book is aimed at senior undergraduate students in engineering and management, including business analytics and industrial engineering.
  • Applying TWECM and Weight Determination Technique Based on Regression
    Susmita Bandyopadhyay, Mohima Mukherjee, Pintu Das
    Lecture Notes in Networks and Systems, 2025
  • Proposing a Novel MCDA Technique Based on Dispersion and Regression Analysis
    Susmita Bandyopadhyay, Indraneel Mandal
    2024 2nd International Conference on Computer Communication and Control Ic4 2024, 2024
    The basic contribution of this article is to proposing a simple statistical dispersion based Multi-Criteria Decision Analysis (MCDA) technique which is not seen in the existing literature till date. Additionally, a new method of establishing relationships among the criteria is also being proposed. Instead of pairwise comparison to establish relationships, simple Regression Analysis is being applied. To determine weights of criteria, preferences of decision makers as well as established relationships have been used. The proposed technique is compared with TOPSIS MCDA technique in order to show that the proposed technique is providing valid results. The comparison between the proposed technique and TOPSIS has been performed based on a supplier ranking scenario taken from real-world business case to show that the proposed technique can easily be applied to the real-life scenarios of decision making. The comparison has been done both numerically and graphically.
  • A novel multi-criteria decision analysis technique incorporating demanding essential characteristics of existing MCDA techniques
    Susmita Bandyopadhyay
    Progress in Artificial Intelligence, 2023
  • Decision support system: Tools and techniques
    Susmita Bandyopadhyay
    Decision Support System Tools and Techniques, 2023
    This book presents different tools and techniques used for Decision Support Systems (DSS), including decision tree and table, and their modifications, multi-criteria decision analysis techniques, network tools of decision support, and various case-based reasoning methods supported by examples and case studies. Latest developments for each of the techniques have been discussed separately, and possible future research areas are duly identified as intelligent and spatial DSS. Features: Discusses all the major tools and techniques for Decision Support System supported by examples. Explains techniques considering their deterministic and stochastic aspects. Covers network tools including GERT and Q-GERT. Explains the application of both probability and fuzzy orientation in the pertinent techniques. Includes a number of relevant case studies along with a dedicated chapter on software. This book is aimed at researchers and graduate students in information systems, data analytics, operation research, including management and computer science areas.
  • Comparison among multi-criteria decision analysis techniques: a novel method
    Susmita Bandyopadhyay
    Progress in Artificial Intelligence, 2021
  • Comparison among some multi-criteria decision analysis techniques
    Susmita Bandyopadhyay
    Proceedings of the 2020 International Conference on Computing Communication and Security Icccs 2020, 2020
    In an endeavor to compare among various Multi-Criteria Decision Analysis Techniques (MCDA), this paper is an initiative to compare among three simple but well-practiced MCDA techniques known as TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution), MAUT (Multi-Attribute Utility Theory) and MACBETH (Measuring Attractiveness by a Categorical Based Evaluation Technique). These three particular techniques are chosen because of some common characteristics among these methods in terms of their types. The method of comparison involves the graphical comparison, complexity analysis and a new method as proposed in this paper. The proposed new method is presented at the end of this paper in the last section. Among these three techniques, TOPSIS and MACBETH have seen significant number of published articles, higher than that for MAUT. However there are numerous other MCDA techniques which will also be compared in near future. The current comparison as presented in this paper indicates superiority of TOPSIS over the other two techniques, MAUT and MACBETH.
  • Solving Bi-Objective Stage Shop Scheduling Problem by Flower Pollination Algorithm with Fuzzy Orientation
    Susmita Bandyopadhyay, Indraneel Mandal
    Proceedings of the 5th International Conference on Inventive Computation Technologies Icict 2020, 2020
    Stage shop scheduling is a type of scheduling problem in manufacturing in which the operations to be performed on a set of jobs is divided into stages based on the type of operations. The stages are executed sequentially whereas the operations in each stage are executed in no particular order. A bi-objective stage shop scheduling problem has been proposed in this paper. There are two objectives as considered in this paper minimization of makespan and minimization the total completion times of a set of jobs on a manufacturing floor. The paper considers uniform fuzzy processing times for the jobs. The problem is basically solved by Multi-Objective version of Flower Pollination Algorithm (MOFPA). Flower pollination can be either global pollination (biotic pollination) or local pollination (abiotic). This paper applies both the types of pollination based on some probability values. Experimentation shows that MOFPA performs almost to an equivalent extent to the famous Nondominated Sorting Genetic Algorithm – II (NSGA-II). The algorithm has been compared with NSGA-II since NSGA-II is one of the most frequently applied multi-objective methods as evident from the existing literature.
  • Solving Multi-Objective Manufacturing Problem with Demand Leakage, Uniform Fuzzy Demand and Sales
    Susmita Bandyopadhyay, Indraneel Mandal
    3rd International Conference on Electrical Electronics Communication Computer Technologies and Optimization Techniques Iceeccot 2018, 2018
    This paper focuses on a manufacturing system which produces a product in two grades - grade I and grade II. The manufacturing system under consideration also results into defective items which are further repaired and are sold in the secondary market. The price of grade I product is higher than that for grade II product because of the quality difference. The paper also considers demand leakage for the product of grade I which means that the some of the customers willing to pay for product of grade I, actually purchases product of grade II. The number of unsold units for both the grades of the product is sold at a giveaway price. Both the demand and sale are assumed to be fuzzy in nature. The purpose of this research study is to study the behavior of the system under demand leakage and other mentioned conditions. For this purpose, a three-objective problem has been proposed and Nondominated Sorting Genetic Algorithm - II (NSGA-II) has been applied to study the behavior of the proposed problem. The joint variations of all the objective values have been observed and analyzed. A numerical example shows the applicability of the proposed solution methodology.
  • A study on some aspects of biologically inspired multi-agent systems
    Gautam Mitra, Susmita Bandyopadhyay
    Advances in Intelligent Systems and Computing, 2018
  • Appication of fuzzy probabilistic TOPSIS on a multi-criteria decision making problem
    Susmita Bandyopadhyay
    Proceedings of the 2017 2nd IEEE International Conference on Electrical Computer and Communication Technologies Icecct 2017, 2017
  • Intelligent Vehicles and Materials Transportation in the Manufacturing Sector: Emerging Research and Opportunities
    Susmita Bandyopadhyay
    Intelligent Vehicles and Materials Transportation in the Manufacturing Sector Emerging Research and Opportunities, 2017
  • Ranking of suppliers with MCDA technique and probabilistic criteria
    Susmita Bandyopadhyay
    Proceedings of the 2016 International Conference on Data Science and Engineering Icdse 2016, 2017
  • Applying fuzzy probabilistic PROMETHEE on a multi-criteria decision problem
    Susmita Bandyopadhyay, Indraneel Mandal
    Advances in Intelligent Systems and Computing, 2017
  • A novel multi-criteria multi-agent-based routing strategy based on tarantula mating behavior
    Susmita Bandyopadhyay, Arindam Kumar Chanda
    Advances in Intelligent Systems and Computing, 2016
  • Finding optimum neighbor for routing based on multi-criteria, multi-agent and fuzzy approach
    Susmita Bandyopadhyay, Ranjan Bhattacharya
    Journal of Intelligent Manufacturing, 2015
  • Discrete and continuous simulation: Theory and practice
    Susmita Bandyopadhyay, Ranjan Bhattacharya
    Discrete and Continuous Simulation Theory and Practice, 2014
  • Solving a tri-objective supply chain problem with modified NSGA-II algorithm
    Susmita Bandyopadhyay, Ranjan Bhattacharya
    Journal of Manufacturing Systems, 2014
  • A generalized measure of bullwhip effect in supply chain with ARMA demand process under various replenishment policies
    Susmita Bandyopadhyay, Ranjan Bhattacharya
    International Journal of Advanced Manufacturing Technology, 2013
  • Applying modified NSGA-II for bi-objective supply chain problem
    Susmita Bandyopadhyay, Ranjan Bhattacharya
    Journal of Intelligent Manufacturing, 2013
  • Solving multi-objective parallel machine scheduling problem by a modified NSGA-II
    Susmita Bandyopadhyay, Ranjan Bhattacharya
    Applied Mathematical Modelling, 2013
  • Proposing modified NSGA-II to solve a job sequencing problem
    Susmita Bandyopadhyay, Arnab Das
    Advances in Intelligent Systems and Computing, 2013
  • On some aspects of nature-based algorithms to solve multi-objective problems
    Susmita Bandyopadhyay, Ranjan Bhattacharya
    Studies in Computational Intelligence, 2013
  • NSGA-II based multi-objective evolutionary algorithm for a multi-objective supply chain problem
    IEEE International Conference on Advances in Engineering Science and Management Icaesm 2012, 2012
  • A review of the causes of bullwhip effect in a supply chain
    Ranjan Bhattacharya, Susmita Bandyopadhyay
    International Journal of Advanced Manufacturing Technology, 2011
  • Solving conflicting bi-objective facility location problem by NSGA II evolutionary algorithm
    Ranjan Bhattacharya, Susmita Bandyopadhyay
    International Journal of Advanced Manufacturing Technology, 2010
  • An improved strategy to solve shop deadlock problem based on the study on existing benchmark recovery strategies
    Ranjan Bhattacharya, Susmita Bandyopadhyay
    International Journal of Advanced Manufacturing Technology, 2010

RECENT SCHOLAR PUBLICATIONS

  • Business Analytics: Theory and Practice
    S Bandyopadhyay
    2026
  • Two Operations Research Techniques with Qualitative Data to Determine Weights of Criteria
    S Bandyopadhyay
    Indian Journal of Applied Research 15 (10), 1-5 , 2025
    2025
  • Applying TWECM and Weight Determination Technique Based on Regression
    S Bandyopadhyay, M Mukherjee, P Das
    Data Science and Communication Engineering: Proceedings of ICTDsC 2024 1334 … , 2025
    2025
  • Raw Milk Procurement in Dairy Supply Chain: Analysis of Influencing Factors
    S Bandyopadhyay, I Mandal
    International Conference on Recent Advancements and Modernisations in … , 2025
    2025
  • Evaluating Supply Chain Performance Across Indian E-Commerce Giants: A Quantitative and Qualitative Approach
    J Saha, S Bandyopadhyay
    2025
  • Applying TWECM and Weight Determination Technique Based on Regression
    S Bandyopadhyay, M Mukherjee, P Das
    International Conference on Data Science and Communication (ICTDsC … , 2025
    2025
  • Acceptability for Use of RFID as Security Provision for Girl Children: A Short Study
    S Bandyopadhyay
    International Journal of Management, Technology and Engineering 15 (8), 108 … , 2025
    2025
  • Proposing a Novel Hybrid Maintenance Policy
    S Bandyopadhyay
    International Conference on Data Science & Exploration in Artificial … , 2025
    2025
  • Proposing a Novel Hybrid Maintenance Policy
    S Bandyopadhyay
    International conference on Data Science and Exploration in Artificial … , 2025
    2025
  • Proposing a Novel MCDA Technique Based on Dispersion and Regression Analysis
    S Bandyopadhyay, I Mandal
    2nd IEEE International Conference on Computer, Communication and Control … , 2024
    2024
    Citations: 5
  • Streamlining Early Patient Discharge through the Implementation of the RIDE (Reengineering Initiatives for Discharge Efficiency) Mechanism
    S Banerjee, S Bandyopadhyay
    International Journal of All Research Education and Scientific Methods 12 (5 … , 2024
    2024
  • Review on Management of Healthcare Vulnerability
    S Banerjee, S Bandyopadhyay
    International Journal of Management, Technology and Engineering 14 (III), 64-81 , 2024
    2024
  • Proposing a Novel MCDA Technique Based on Dispersion and Regression Analysis
    S Bandyopadhyay, I Mandal
    2nd IEEE International Conference on Computer, Communication and Control … , 2024
    2024
    Citations: 5
  • A Hybrid Method to Determine Weights of Criteria
    S Bandyopadhyay
    International Journal of Advanced Research 9 (7), 97 - 100 , 2023
    2023
  • A Two-Stage Bi-Objective Data Envelopment Analysis Problem
    S Bandyopadhyay
    ITM Web of Conferences 56, 02003 (2023) - ICDSAC 2023 56, 1-6 , 2023
    2023
  • A Novel Multi-Criteria Decision Analysis Technique Incorporating Demanding Essential Characteristics of Existing MCDA Techniques
    S Bandyopadhyay
    Progress in Artificial Intelligence , 2023
    2023
    Citations: 13
  • Decision Support System: Tools and Techniques
    S Bandyopadhyay
    CRC PRESS , 2023
    2023
    Citations: 32
  • Electronic Supply Chain: A Bibliographic and Descriptive Literature Review
    S Bandyopadhyay, J Saha
    International Conference on Intelligent Computing and Communication, 577-585 , 2022
    2022
  • Current State of Electronic Supply Chain: A Review
    J Saha, S Bandyopadhyay
    International Journal of Management, Technology And Engineering 7 (8), 1-19 , 2022
    2022
  • A Novel Multi-Criteria Decision Analysis Technique Considering Various Essential Characteristics
    S Bandyopadhyay
    2021
    Citations: 1

MOST CITED SCHOLAR PUBLICATIONS

  • A review of the causes of bullwhip effect in a supply chain
    R Bhattacharya, S Bandyopadhyay
    The International Journal of Advanced Manufacturing Technology 54 (9), 1245-1261 , 2011
    2011
    Citations: 204
  • Solving a Tri-Objective Supply Chain Problem with modified NSGA-II Algorithm
    S Bandyopadhyay, R Bhattacharya
    Journal of Manufacturing Systems 33 (1), 41-50 , 2014
    2014
    Citations: 103
  • Solving conflicting bi-objective facility location problem by NSGA II evolutionary algorithm
    R Bhattacharya, S Bandyopadhyay
    The International Journal of Advanced Manufacturing Technology 51 (1), 397-414 , 2010
    2010
    Citations: 103
  • Solving Multi-Objective Parallel Machine Scheduling Problem by a Modified NSGA-II
    S Bandyopadhyay, R Bhattacharya
    Applied Mathematical Modelling 37 (10-11), 6718-6729 , 2013
    2013
    Citations: 101
  • Discrete and Continuous Simulation: Theory and Practice
    S Bandyopadhyay, R Bhattacharya
    CRC Press , 2014
    2014
    Citations: 67
  • Applying modified NSGA-II for bi-objective supply chain problem
    S Bandyopadhyay, R Bhattacharya
    Journal of Intelligent Manufacturing 24 (4), 707-716 , 2013
    2013
    Citations: 55
  • Decision Support System: Tools and Techniques
    S Bandyopadhyay
    CRC PRESS , 2023
    2023
    Citations: 32
  • Comparison among multi-criteria decision analysis techniques: a novel method
    S Bandyopadhyay
    Progress in Artificial Intelligence 10, 195-216 , 2021
    2021
    Citations: 27
  • A generalized measure of bullwhip effect in supply chain with ARMA demand process under various replenishment policies
    S Bandyopadhyay, R Bhattacharya
    International Journal of Advanced Manufacturing Technology 68 (5-8), 963-979 , 2013
    2013
    Citations: 26
  • Finding optimum neighbor for routing based on multi-criteria, multi-agent and fuzzy approach
    S Bandyopadhyay, R Bhattacharya
    Journal of Intelligent Manufacturing 26 (1), 25-42 , 2015
    2015
    Citations: 21
  • Production and Operations Analysis: Traditional, Latest, and Smart Views, CRC Press
    S Bandyopadhyay
    Production and Operations Analysis: Traditional, Latest, and Smart Views … , 2019
    2019
    Citations: 15
  • A Novel Multi-Criteria Decision Analysis Technique Incorporating Demanding Essential Characteristics of Existing MCDA Techniques
    S Bandyopadhyay
    Progress in Artificial Intelligence , 2023
    2023
    Citations: 13
  • On Some Aspects of Nature-Based Algorithms to Solve Multi-Objective Problems
    S Bandyopadhyay, R Bhattacharya
    Artificial Intelligence, Evolutionary Computing and Metaheuristics 427, 477-524 , 2013
    2013
    Citations: 10
  • An improved strategy to solve shop deadlock problem based on the study on existing benchmark recovery strategies
    R Bhattacharya, S Bandyopadhyay
    The International Journal of Advanced Manufacturing Technology 47 (1), 351-364 , 2010
    2010
    Citations: 10
  • Ranking of Suppliers with MCDA technique and probabilistic criteria
    S Bandyopadhyay
    IEEE International Conference on Data Science and Engineering (ICDSE 2016 … , 2016
    2016
    Citations: 8
  • NSGA-II based multi-objective evolutionary algorithm for a multi-objective supply chain problem
    S Bandyopadhyay, R Bhattacharya
    IEEE International Conference on Advances in Engineering, Science and … , 2012
    2012
    Citations: 8
  • Proposing a Novel MCDA Technique Based on Dispersion and Regression Analysis
    S Bandyopadhyay, I Mandal
    2nd IEEE International Conference on Computer, Communication and Control … , 2024
    2024
    Citations: 5
  • Proposing a Novel MCDA Technique Based on Dispersion and Regression Analysis
    S Bandyopadhyay, I Mandal
    2nd IEEE International Conference on Computer, Communication and Control … , 2024
    2024
    Citations: 5
  • Application of Fuzzy Probabilistic TOPSIS on a Multi-Criteria Decision Making Problem
    S Bandyopadhyay
    Second IEEE International Conference on Electrical, Computer and … , 2017
    2017
    Citations: 5
  • Comparison among Some Multi-Criteria Decision Analysis Techniques
    S Bandyopadhyay
    2020 5th International Conference on Computing, Communication and Security … , 2020
    2020
    Citations: 4

Publications

1) An improved strategy to solve shop deadlock problem based on the study on existing benchmark recovery strategies (2010); Ranjan Bhattacharya & Susmita Bandyopadhyay; International Journal of Advanced Manufacturing Technology (Impact factor: 3.563; ISSN: 0268-3768 (print version); ISSN: 1433-3015 (electronic version) (UGC Journal number 2499)), Volume 47 (1-4), Issue 1-4, pp. 351-364. (Received 10 citation);
DOI: 10.1007/s00170-009-2200-y

2) Solving conflicting bi-objective facility location problem by NSGA II evolutionary algorithm (2010); Ranjan Bhattacharya & Susmita Bandyopadhyay; International Journal of Advanced Manufacturing Technology (Impact factor: 3.563; ISSN: 0268-3768 (print version); ISSN: 1433- 3015 (electronic version) (UGC Journal number 2499)); Volume 55 (1-4), pp. 397 – 414. DOI: 10.1007/s00170-010-2622-6 (Received 104 citations)

3) A review of the causes of bullwhip effect in a supply chain (2011); Ranjan Bhattacharya & Susmita Bandyopadhyay; International Journal of Advanced Manufacturing Technology (Impact factor: 3.563; ISSN: 0268-3768 (print version); ISSN: 1433-3015 (electronic version) (UGC Journal number 2499)); Volume 54, pp. 1245-1261. DOI: 10.1007/s00170-010-2987-6; (Received 202 citations)

4) Applying Modified NSGA-II for Bi-Objective Supply Chain Problem (2011); Susmita Bandyopadhyay & Ranjan Bhattacharya; Journal of Intelligent Manufacturing (Impact factor: 7.136; ISSN: 0956-5515) (UGC Journal Number 30262); 24(4): 707-716. DOI: 10.1007/s