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Arunachalam Narayanan

Title: Professor

Department: Information Technology and Decision Sciences

College: College of Business

Curriculum Vitae

Curriculum Vitae Link

Education

  • PhD, Texas A&M Univeristy, 2006
    Major: Information and Operations Management
  • MS, Texas A&M University, 2002
    Major: Industrial Engineering
  • BE, College of Engineering, Guindy (Anna University), 2000
    Major: Mechanical Engineering

Current Scheduled Teaching

MSCI 6950.755Doctoral DissertationSpring 2025
DSCI 4510.002Modeling for Business IntelligenceSpring 2025
MSCI 6900.759Special ProblemsSpring 2025
BUSI 6220.002Applied Regression AnalysisFall 2024
MSCI 6950.757Doctoral DissertationFall 2024
DBAS 6004.501Quantitative Research Method IFall 2024

Previous Scheduled Teaching

DSCI 5180.002Introduction to the Business Decision ProcessSummer 5W1 2024 SPOT
DSCI 5180.002Introduction to the Business Decision ProcessSpring 8W1 2024 SPOT
DSCI 4510.002Modeling for Business IntelligenceSpring 2024 Syllabus SPOT
DBAS 6004.501Quantitative Research Method ISpring 2024
BUSI 6220.002Applied Regression AnalysisFall 2023 Syllabus SPOT
MSCI 6900.701Special ProblemsFall 2023 Syllabus
DSCI 3710.501Business Statistics with SpreadsheetsSummer 5W2 2023 Syllabus SPOT
DSCI 5180.002Introduction to the Business Decision ProcessSummer 5W1 2023 SPOT
DSCI 5180.002Introduction to the Business Decision ProcessSpring 8W1 2023 SPOT
DSCI 4510.002Modeling for Business IntelligenceSpring 2023 Syllabus SPOT
BUSI 6220.002Applied Regression AnalysisFall 2022 SPOT
DSCI 5180.001Introduction to the Business Decision ProcessFall 8W1 2022 SPOT
DSCI 4510.001Modeling for Business IntelligenceFall 2022 Syllabus SPOT
MSCI 6900.701Special ProblemsFall 2022
DSCI 5180.001Introduction to the Business Decision ProcessSummer 3W1 2022 SPOT
DSCI 5180.002Introduction to the Business Decision ProcessSummer 5W1 2022 SPOT
DSCI 5180.002Introduction to the Business Decision ProcessSpring 8W1 2022 SPOT
DSCI 5180.004Introduction to the Business Decision ProcessSpring 8W2 2022 SPOT
DSCI 4510.002Modeling for Business IntelligenceSpring 2022 Syllabus SPOT
BUSI 6220.001Applied Regression AnalysisFall 2021 SPOT
DSCI 5180.001Introduction to the Business Decision ProcessFall 8W1 2021 SPOT
DSCI 5180.026Introduction to the Business Decision ProcessFall 8W1 2021 SPOT
DSCI 4510.001Modeling for Business IntelligenceFall 2021 Syllabus SPOT
MSCI 6900.701Special ProblemsFall 2021
DSCI 3710.003Business Statistics with SpreadsheetsSummer 5W1 2021 Syllabus SPOT
DSCI 5180.001Introduction to the Business Decision ProcessSummer 5W1 2021 SPOT
DSCI 5180.026Introduction to the Business Decision ProcessSummer 5W1 2021 SPOT
DSCI 5180.002Introduction to the Business Decision ProcessSpring 8W1 2021 SPOT
DSCI 5180.003Introduction to the Business Decision ProcessSpring 8W2 2021 SPOT
DSCI 5180.026Introduction to the Business Decision ProcessSpring 8W1 2021 SPOT
DSCI 5180.501Introduction to the Business Decision ProcessSpring 8W1 2021 SPOT
DSCI 4510.001Modeling for Business IntelligenceSpring 2021 Syllabus SPOT
BUSI 6220.001Applied Regression AnalysisFall 2020 SPOT
DSCI 5180.001Introduction to the Business Decision ProcessFall 8W1 2020 SPOT
DSCI 5180.026Introduction to the Business Decision ProcessFall 8W1 2020 SPOT
DSCI 4510.001Modeling for Business IntelligenceFall 2020 Syllabus SPOT
DSCI 3710.501Business Statistics with SpreadsheetsSummer 5W1 2020 Syllabus SPOT
DSCI 5180.001Introduction to the Business Decision ProcessSummer 5W1 2020 SPOT
DSCI 5180.002Introduction to the Business Decision ProcessSummer 5W1 2020 SPOT
DSCI 5180.026Introduction to the Business Decision ProcessSummer 5W1 2020 SPOT
DSCI 3710.002Business Statistics with SpreadsheetsSpring 2020 Syllabus
DSCI 5180.002Introduction to the Business Decision ProcessSpring 8W1 2020
DSCI 5180.501Introduction to the Business Decision ProcessSpring 2020
DSCI 4510.001Modeling for Business IntelligenceSpring 2020 Syllabus
BUSI 6220.001Applied Regression AnalysisFall 2019 SPOT
DSCI 3710.501Business Statistics with SpreadsheetsFall 2019 Syllabus SPOT
DSCI 2710.002Data Analysis with SpreadsheetsFall 2019 Syllabus SPOT

Published Intellectual Contributions

    Abstracts and Proceedings

  • McConville, S., Niranjan, S., Narayanan, A., Murry, J. (2023). A Hybrid Simulation of Product Reconditioning: A Case Study. Other. San Antonio, TX, IEEE.
  • McConville, S., Niranjan, S., Narayanan , A. (2022). Going Backwards to Get Ahead: Connecting Product Refurbishment and Demand Forecasting with Simulation Optimization. Other. Production and Operations Management (POMS).
  • Book Chapter

  • Narayanan, A. (2013). The Salvation Army in Dallas: The Supply Chain Challenges of a Non-Profit Organization. Other. 1. Pearson Education.
  • Conference Proceeding

  • Patil, H., Niranjan, S., Narayanan, A. (2022). Influence of Additive Manufacturing on Supply Chain Resilience: An Empirical Analysis. Other. Proceedings. of the 2022 SWDSI Annual Conference.
  • Narasinganallur, N., Sinha, S., Dhagia, K., Narayanan, A. (2021). Covid-19 Vaccine Distribution In India – Analysis And Modelling. 1 KJ Somaiya Institute of Management.
  • Narayanan, A., Mackelprang, A., Malhotra, M. (2019). Effect of Capacity and Flexibility Constraints on Bullwhip Effect in Supply Chains. Academy of Management Proceedings. 2019 (1) 17864.
  • Sun, C., Ponsignon, T., Rose, T., Narayanan, A. (2015). Complexity analysis through the modeling of human behavior in a complex supply chain planning environment. 2015 Winter Simulation Conference (WSC). 2917--2928.
  • Narayanan, A., Jennings, D.F., Capar, I., Natarajarathinam, M. (2012). Crisis management among Industrial Distributors: Scale development, analysis and insights. Proceedings of the 2012 Association of Collegiate Marketing Educators Conference, New Orleans, LA, February. 24--28.
  • Journal Article

  • Pournader, M., Narayanan, A., Keblis, M.F., Ivanov, D. (2023). Decision bias and bullwhip effect in multiechelon supply chains: Risk preference models. IEEE Transactions On Engineering Management. IEEE.
  • Patil, H., Niranjan, S., Narayanamurthy, G., Narayanan, A. (2023). Investigating Contingent Adoption of Additive Manufacturing in Supply Chains. International Journal Of Operations And Production Management. 43 (3) 489-519. Emerald. https://www.emerald.com/insight/content/doi/10.1108/IJOPM-05-2022-0286/full/html
  • Ye, Y., Lu, T., Robinson, P., Narayanan, A. (2022). An empirical Bayes approach to incorporating demand intermittency and irregularity into inventory control. European Journal of Operational Research. 303 (1) 255-272.
  • Ye, Y., Peng, D., Fan, R., Narayanan, A. (2022). An Empirical Investigation of Governance Mechanism Choices in Service Outsourcing. International Journal Of Operations And Production Management. 42 (9) 1467-1496.
  • Freeman, N., Narayanan, A. (2022). The Impact of Multiple Products and Limited Capacity of Dual-sourcing Decisions Under Demand and Supply Uncertainty. International Journal of Production Research. 60 (12) 3728-3750.
  • Narayanan, A., Mackelprang, A., Malhotra, M. (2022). System Performance Implications of Capacity and Flexibility Constraints on Bullwhip Effect in Supply Chains. Decision Sciences. 53 (5) 783-801.
  • Moritz, B., Narayanan, A., Parker, C. (2022). Unraveling behavioral ordering: Relative costs and the bullwhip effect. Manufacturing & Service Operations Management. 24 (3) 1733-1750.
  • Peng, D., Flynn, B., Narayanan, A., Fan, R. Alternative Information Processing Mechanisms in Hospital Supply Chains: Impact on Cost, Quality, and Patient Satisfaction. Decision Sciences. (forthcoming)
  • Narayanan, A., Altay, N. Ambidextrous Humanitarian Organizations. Annals of Operations Research. (forthcoming)
  • Narayanan, A., Ishfaq, R. Impact of Metric-Alignment on Supply Chain Performance: A Behavioral Study. International Journal of Logistics Management. (forthcoming)
  • Altay, N., Narayanan, A. (2020). Forecasting in Humanitarian Operations: Literature Review and Research Needs. International Journal Of Forecasting. 38 (3) 1234-1244.
  • Freeman, N., Narayanan, A., Keskin, B. (2020). Optimal Use of Downward Substitution in a Manufacturing Operation Subject to Uncertainty. OMEGA - The International Journal of Management Science. 103 102372.
  • Freeman, N., Narayanan, A., Burns, G. (2019). A Decision Support System for Empty Hopper Car Management. Interfaces. 49 (3) 173-188. INFORMS.
  • Narayanan, A., Sahin, F., Robinson, E.P. (2019). Demand and order-fulfillment planning: The impact of point-of-sale data, retailer orders and distribution center orders on forecast accuracy. Journal of Operations Management. 65 (5) 468-486. Wiley Periodicals, Inc..
  • Ishfaq, R., Narayanan, A. (2019). Incorporating Order-Fulfillment Flexibility in Automotive Supply Chain through Vehicle Trades. Decision Sciences. 50 (1) 84--117.
  • Venkatachalam, S., Narayanan, A. (2019). Two-stage absolute semi-deviation mean-risk stochastic programming: An application to the supply chain replenishment problem. Other. 106 62--75. Pergamon.
  • Jennings, D.F., Narayanan, A., Nepal, B., Clark, N. (2017). On value activities and competitive advantage: an empirical study. International Journal of Business Excellence. 11 (3) 320--343. Inderscience Publishers (IEL).
  • Venkatachalam, S., Narayanan, A. (2016). Efficient formulation and heuristics for multi-item single source ordering problem with transportation cost. International Journal of Production Research. 54 (14) 4087--4103. Taylor \& Francis.
  • Narayanan, A., Moritz, B.B. (2015). Decision making and cognition in multi-echelon supply chains: An experimental study. Production and Operations Management. 24 (8) 1216--1234.
  • Narayanan, A., Sawaya, III, W.J., Johnson, M.D. (2014). Analysis of differences in nonteaching factors influencing student evaluation of teaching between engineering and business classrooms. Decision Sciences Journal of Innovative Education. 12 (3) 233--265.
  • Johnson, M.D., Narayanan, A., Sawaya, W.J. (2013). Effects of course and instructor characteristics on student evaluation of teaching across a college of engineering. Journal of Engineering Education. 102 (2) 289--318.
  • Sahin, F., Narayanan, A., Robinson, E.P. (2013). Rolling horizon planning in supply chains: review, implications and directions for future research. International Journal of Production Research. 51 (18) 5413--5436. Taylor \& Francis.
  • Surendakumar, P., Capar, I., Narayanan, A., Vanajakumar, M. (2010). A SIMULATION STUDY OF WAITING TIME AT THE LAND PORTS ALONG TEXAS-MEXICO BORDER. Other. 325.
  • Brown, C.G., Narayanan, A. (2010). After retail excess inventory channel and supply chain economics in US. Other. 21.
  • Narayanan, A., Robinson, P. (2010). Efficient and effective heuristics for the coordinated capacitated lot-size problem. European Journal of Operational Research. 203 (3) 583--592. Elsevier.
  • Narayanan, A., Robinson, P. (2010). Evaluation of joint replenishment lot-sizing procedures in rolling horizon planning systems. International Journal of Production Economics. 127 (1) 85--94. Elsevier.
  • Capar, I., Narayanan, A., Natarajarathinam, M., others. (2010). Intermodal Transportation System for Asian Goods to US via Mexico: An Analysis. National Center for Intermodal Transportation.
  • Narayanan, A., Thanikasalam, P. (2010). Teaching Strategic Global Supply Chain Management using SimFlex.
  • Robinson, P., Narayanan, A., Sahin, F. (2009). Coordinated deterministic dynamic demand lot-sizing problem: A review of models and algorithms. Other. 37 (1) 3--15. Pergamon.
  • Natarajarathinam, M., Capar, I., Narayanan, A. (2009). Managing supply chains in times of crisis: a review of literature and insights. Other. Emerald Group Publishing Limited.
  • Narayanan, A., Gunasekaran, S., Kuttuva, P., Lawrence, B. (2008). CHOOSING THE NEXT LOCATION: A PRACTICAL APPROACH FOR AN INDUSTRIAL DISTRIBUTOR.. Other. 7 (2)
  • Robinson, E., Narayanan, A., Gao, L. (2007). Effective heuristics for the dynamic demand joint replenishment problem. Journal of the Operational Research Society. 58 (6) 808--815. Taylor \& Francis.
  • Narayanan, A., Robinson, E. (2006). More on ‘Models and algorithms for the dynamic-demand joint replenishment problem’. International Journal of Production Research. 44 (2) 383--397. Taylor \& Francis.
  • Other

  • Narayanan, A. (2006). Improved formulations, heuristics and metaheuristics for the dynamic demand coordinated lot-sizing problem. Other. 68 (09)
  • Written Case with Instructional Material

  • Narayanan, A., Smith, G.D. (2017). Where Are My Cookies? The Tale of Thin Mints Shortage. Other. Council for Supply Chain Management Professionals.
  • Narayanan, A., Seshadri, S. (2012). Dockomo Heavy Machinery Equipment Ltd.: Spare Parts Supply Chain Management. Other. Council for Supply Chain Management Professionals.
  • Narayanan, A., Natarajarathinam, M., Winn, B. (2009). BP's Procurement and Supply Chain Management Teaching Notes. Other. Council for Supply Chain Management Professionals.

Contracts, Grants and Sponsored Research

    Contract

  • Niranjan, S. (Principal), Narayanan, A. (Co-Principal), "Modeling and Simulation of Multi-Echelon CPE Materials Flow and Returns handling process at Shaw Communications," sponsored by Shaw Communications Inc., Private, $18410 Funded. (2021 - 2022).
  • Fellowship

  • Narayanan, A. (Principal), "Faculty Summer Grant," sponsored by College of Business, State, $10000 Funded. (2021 - 2021).
  • Narayanan, A., "PDI Business Fellowship," sponsored by University of North Texas, University of North Texas, $2500 Funded. (2020 - 2021).
  • Grant - Research

  • Rubio Herrero, J. (Principal), Narayanan, A. (Co-Principal), Owusu, P. (Supporting), "ITDS Summer Research Funds," University of North Texas, $10000 Funded. (2024).
  • Narayanan, A. (Co-Principal), "Low-Value Medication Use Among Patients with Chronic Cardiometabolic Disorder," sponsored by AIM -AHEAD and NIH, Federal, $480797 Funded. (2023).
  • Niranjan, S. (Principal), Narayanan, A. (Co-Principal), Warren, S. (Co-Principal), Yang, Q. (Co-Principal), "FW-HTF-P: Using Technology to Understand Future Industrial Operator Distractions within Logistics and Material Handling Industry," sponsored by National Science Foundation, Federal, $149993 Funded. (2022 - 2024).
  • NIRANJAN, S. (Principal), Narayanan, A. (Co-Principal), Sauser, B. (Co-Principal), Gabaldon, J. (Supporting), Garg , V. (Supporting), "Predicting Driver Distractions using Psychological and Physiological Characteristics: A Simulation Approch," sponsored by G. Brint Ryan College of Business, University of North Texas, $10000 Funded. (2022 - 2023).
  • Narayanan, A. (Principal), NIRANJAN, S. (Co-Principal), "Role of Diversity, Equity, and Inclusion on Supply Chain Performance and Re-shoring Decision," sponsored by G. Brint Ryan College of Business, University of North Texas, $10000 Funded. (2022 - 2023).
  • NIRANJAN, S., Narayanan, A., Sauser, B., Vaidyanathan, V., "Predicting Driver Distractions using Psychological and Physiological Characteristics," sponsored by Office of Research and Innovation, University of North Texas, $8000 Funded. (2021 - 2022).
  • NIRANJAN, S., Narayanan, A., Sauser, B., Vaidyanathan, V., Warren, S.J., "Pilot Project: Understanding if the Forklift Operators are Following Best Practices," sponsored by University of North Texas - Jim MacNatt Institute of Logistics & Center for Integrated Intelligent Mobility Systems (CIIMS), University of North Texas, $10000 Funded. (2020 - 2021).
  • Narayanan, A. (Principal), "Predicting Driver Distractions using Psychological and Physiological Characteristics," sponsored by Vice President of Research, State, $2800 Funded. (2021 - 2021).
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Overall
Summative Rating
Challenge and
Engagement Index
Response Rate

out of 5

out of 7
%
of
students responded
  • Overall Summative Rating (median):
    This rating represents the combined responses of students to the four global summative items and is presented to provide an overall index of the class’s quality. Overall summative statements include the following (response options include a Likert scale ranging from 5 = Excellent, 3 = Good, and 1= Very poor):
    • The course as a whole was
    • The course content was
    • The instructor’s contribution to the course was
    • The instructor’s effectiveness in teaching the subject matter was
  • Challenge and Engagement Index:
    This rating combines student responses to several SPOT items relating to how academically challenging students found the course to be and how engaged they were. Challenge and Engagement Index items include the following (response options include a Likert scale ranging from 7 = Much higher, 4 = Average, and 1 = Much lower):
    • Do you expect your grade in this course to be
    • The intellectual challenge presented was
    • The amount of effort you put into this course was
    • The amount of effort to succeed in this course was
    • Your involvement in course (doing assignments, attending classes, etc.) was
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