Chandra SenMazumdar

@msruas.ac.in

Assistant Professor, Faculty of Management and Commerce
M S Ramaiah University of Applied Sciences



                 

https://researchid.co/c_sen28

RESEARCH INTERESTS

Operations management, logistics and supply chain management, machine learning

4

Scopus Publications

Scopus Publications

  • Quality of Management and Its Influence on Market Valuation: A Study of the Indian Pharmaceutical Industry
    Shireen Rosario and Chandra Sen Mazumdar

    Richtmann Publishing
    This paper aims to highlight the relevance of the quality of management in the well-being of a firm and its influence on market valuation. The study which is based on the Indian Pharmaceutical Industry, measures and employs the quality of Management and directorship, together with the Return on Capital Employed (ROCE), to assess the influence on market valuation and the efficiency of assets employed. The study employs forty companies that are listed on the Bombay Stock Exchange, for a period of 12 years from the fiscal year 2008-09 to 2019-20. Through Path Analysis, it is established that ROCE, Quality of management, and Directorship in that order influence the market valuation which is represented by the Q ratio. ROCE & Dividends impact the efficiency of assets under use, which is represented by the Asset Turnover Ratio (ATO).
  
 Received: 03 October 2022 / Accepted: 23 December 2022 / Published: 5 January 2023

  • A Study of the Impact of Value-Added Efficiency on Profitability and Market Value in the Indian Pharma Industry
    Shireen Rosario and Chandra Sen Mazumdar

    Richtmann Publishing
    The aim of this paper is to highlight the growing influence of Intellectual Capital (IC) on the profitability and market valuation, especially in knowledge-based industries. The scope of this paper is restricted to the Indian Pharmaceutical Industry, which is highly dependent on IC. This study employs the measure of Value-Added Intellectual Coefficient (VAIC) to assess impact of IC on the profitability and market valuation and to assess the growth of VAIC and its components among the companies over the years selected for the study. The study uses 22 Pharmaceutical companies listed in the Bombay Stock Exchange for a period of 12 years from the financial year 2008-09 to 2019-20. By using Path Analysis, the study demonstrates that the components of VAIC have an impact on the ROCE and market value, which has only grown as compared to earlier studies & years. The study also demonstrates that high sales and profits need not necessarily result in high VAIC.
  
 Received: 7 October 2021 / Accepted: 24 November 2021 / Published: 3 January 2022

  • Tabu search methods for scheduling a burn-in oven with non-identical job sizes and secondary resource constraints
    Chandra Sen Mazumdar, M. Mathirajan, R. Gopinath, and A.I. Sivakumar

    Inderscience Publishers
    In this paper, we consider the problem of scheduling semiconductor burn-in operation, where the burn-in oven is modelled as a batch processing machine. In this study, both oven capacity and the number of boards available are taken as constraints. The objective measure of the problem is minimising the total completion time of all jobs. The computational difficulty in getting optimal solution is shown empirically. Since the problem under study is NP-hard, two variants of Tabu Search method are proposed. A series of computational experiments show that the proposed variants of Tabu Search method outperforms the existing heuristic for most system configurations in very meagre CPU times on P4 machine.

  • Server-switching policy for call routing in a multiskill inbound call centre
    Chandra Sen Mazumdar and N.R. Srinivasa Raghavan

    Inderscience Publishers
    In this paper, we present a server-switching policy for the routing of calls to Customer Service Representatives (CSRs) in a multiskill inbound call centre utilising Skill-Based Routing (SBR). We have considered two types of scenarios in which a multiskill SBR call centre handling inbound calls can function: (a) with specialist agents only, and (b) with a mix of specialist and flexible agents. We have developed both these models and compared the rewards obtained from each of them. Our models and experimentations help in identifying practices that result in efficient usage of existing personnel in a call centre.

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