Faculty Profile

Arunachalam Narayanan

Title
Associate Professor
Department
Information Technology and Decision Sciences
College
College of Business

    

    

      


                          

            
Curriculum Vitae

            

              Click Here to View Faculty CV
            

          

        
                          

            
Education

            



  

  


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





          

        
                

          
Current Scheduled Teaching*


          
DSCI 3710.501, Business Statistics with Spreadsheets, Summer 2023 
DSCI 5180.002, Introduction to the Business Decision Process, Summer 2023 Syllabus


          
*
  Texas Education Code 51.974 (HB 2504) requires each institution of
  higher education to make available to the public, a syllabus for
  undergraduate lecture courses offered for credit by the institution.
  

        

      

    

  


    

    

      


        


          


            
Previous Scheduled Teaching*


            
                    

                    DSCI 5180.002, Introduction to the Business Decision Process, Spring 8W1 2023 Syllabus SPOT
                    

                    DSCI 4510.002, Modeling for Business Intelligence, Spring 2023 Syllabus SPOT
                    

                    BUSI 6220.002, Applied Regression Analysis, Fall 2022 Syllabus SPOT
                    

                    DSCI 5180.001, Introduction to the Business Decision Process, Fall 8W1 2022 Syllabus SPOT
                    

                    DSCI 4510.001, Modeling for Business Intelligence, Fall 2022 Syllabus SPOT
                    

                    MSCI 6900.701, Special Problems, Fall 2022 Syllabus
                    

                    DSCI 5180.001, Introduction to the Business Decision Process, Summer 3W1 2022 Syllabus SPOT
                    

                    DSCI 5180.002, Introduction to the Business Decision Process, Summer 5W1 2022 Syllabus SPOT
                    

                    DSCI 5180.002, Introduction to the Business Decision Process, Spring 8W1 2022 Syllabus SPOT
                    

                    DSCI 5180.004, Introduction to the Business Decision Process, Spring 8W2 2022 Syllabus SPOT
                    

                    DSCI 4510.002, Modeling for Business Intelligence, Spring 2022 Syllabus SPOT
                    

                    BUSI 6220.001, Applied Regression Analysis, Fall 2021 Syllabus SPOT
                    

                    DSCI 5180.001, Introduction to the Business Decision Process, Fall 8W1 2021 Syllabus SPOT
                    

                    DSCI 5180.026, Introduction to the Business Decision Process, Fall 8W1 2021 Syllabus SPOT
                    

                    DSCI 4510.001, Modeling for Business Intelligence, Fall 2021 Syllabus SPOT
                    

                    MSCI 6900.701, Special Problems, Fall 2021 Syllabus
                    

                    DSCI 3710.003, Business Statistics with Spreadsheets, Summer 5W1 2021 Syllabus SPOT
                    

                    DSCI 5180.001, Introduction to the Business Decision Process, Summer 5W1 2021 Syllabus SPOT
                    

                    DSCI 5180.026, Introduction to the Business Decision Process, Summer 5W1 2021 Syllabus SPOT
                    

                    DSCI 5180.002, Introduction to the Business Decision Process, Spring 8W1 2021 Syllabus SPOT
                    

                    DSCI 5180.003, Introduction to the Business Decision Process, Spring 8W2 2021 Syllabus SPOT
                    

                    DSCI 5180.026, Introduction to the Business Decision Process, Spring 8W1 2021 Syllabus SPOT
                    

                    DSCI 5180.501, Introduction to the Business Decision Process, Spring 8W1 2021 Syllabus SPOT
                    

                    DSCI 4510.001, Modeling for Business Intelligence, Spring 2021 Syllabus SPOT
                    

                    BUSI 6220.001, Applied Regression Analysis, Fall 2020 Syllabus SPOT
                    

                    DSCI 5180.001, Introduction to the Business Decision Process, Fall 8W1 2020 Syllabus SPOT
                    

                    DSCI 5180.026, Introduction to the Business Decision Process, Fall 8W1 2020 Syllabus SPOT
                    

                    DSCI 4510.001, Modeling for Business Intelligence, Fall 2020 Syllabus SPOT
                    

                    DSCI 3710.501, Business Statistics with Spreadsheets, Summer 5W1 2020 Syllabus SPOT
                    

                    DSCI 5180.001, Introduction to the Business Decision Process, Summer 5W1 2020 Syllabus SPOT
                    

                    DSCI 5180.002, Introduction to the Business Decision Process, Summer 5W1 2020  SPOT
                    

                    DSCI 5180.026, Introduction to the Business Decision Process, Summer 5W1 2020 Syllabus SPOT
                    

                    DSCI 3710.002, Business Statistics with Spreadsheets, Spring 2020 Syllabus
                    

                    DSCI 5180.002, Introduction to the Business Decision Process, Spring 8W1 2020 Syllabus
                    

                    DSCI 5180.501, Introduction to the Business Decision Process, Spring 2020 Syllabus
                    

                    DSCI 4510.001, Modeling for Business Intelligence, Spring 2020 Syllabus
                    

                    BUSI 6220.001, Applied Regression Analysis, Fall 2019 Syllabus SPOT
                    

                    DSCI 3710.501, Business Statistics with Spreadsheets, Fall 2019 Syllabus SPOT
                    

                    DSCI 2710.002, Data Analysis with Spreadsheets, Fall 2019 Syllabus SPOT

          


          
*
  Texas Education Code 51.974 (HB 2504) requires each institution of
  higher education to make available to the public, a syllabus for
  undergraduate lecture courses offered for credit by the institution.
  

        

      

    

  

  
  	

	

	  

		

		   
Published Publications



  

  
Published Intellectual Contributions


  
Abstracts and Proceedings
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
Patil, H., Niranjan, S., Narayanamurthy, G., Narayanan, A.  (2022). Investigating Contingent Adoption of Additive Manufacturing in Supply Chains. International Journal Of Operations And Production Management. 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. 
Altay, N., Narayanan, A.  (2022). Forecasting in Humanitarian Operations: Literature Review and Research Needs. International Journal Of Forecasting. 38(3), 1234-1244. 
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), . 
Freeman, N., Narayanan, A., Keskin, B.  (2021). Optimal Use of Downward Substitution in a Manufacturing Operation Subject to Uncertainty. OMEGA - The International Journal of Management Science. 103, 102372. 
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), . 
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. 



	
		
		
	  

	

	

  
    
	

	

	  

		

		   
Awarded Grants



  
  
  	  
          
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. (November 2021 – May 2022).
Fellowship   
Narayanan, A. (Principal), "Faculty Summer Grant," Sponsored by College of Business, State, $10000 Funded. (May 2021 – August 2021).
Narayanan, A., "PDI Business Fellowship," Sponsored by University of North Texas, University of North Texas, $2500 Funded. (July 2020 – July 2021).
Grant - Research   
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. (September 2022 – November 2023).
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. (June 2022 – May 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. (June 2022 – May 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. (May 2021 – May 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. (October 2020 – September 2021).
Narayanan, A. (Principal), "Predicting Driver Distractions using Psychological and Physiological Characteristics," Sponsored by Vice President of Research, State, $2800 Funded. (May 2021 – August 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
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    • The course content was
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    • The instructor’s contribution to the course was
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    • The instructor’s effectiveness in teaching the subject matter was
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    • 
			
  • 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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