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College of Business
Copeland Hall
1 Ohio University
Athens OH 45701-2979

William Young

Young, William
O'Bleness Associate Professor in Analytics & Information Systems; Director, Online Master of Business Analytics (MBA) Program; Director, Online Master of Business Analytics (MBAn) Program
Muck 344
youngw1@ohio.edu
740-593-2041

Education

  • Ph.D., Mechanical and Systems Engineering, Ohio University, 2010
  • M.S., Electrical Engineering, Ohio University, 2005
  • B.S., Electrical Engineering, Ohio University, 2002

Research Interests

  • Operation Management
  • Operations Research
  • Predictive Analytics
  • Prescriptive Analytics

Publications

  • Fallahtafti, A., Ardjmand, E., Young, W. & Weckman G. (2021) A Multi-Objective Two-Echelon Location-Routing Problem for Cash Logistics: A Metaheuristic Approach, Applied Soft Computing (ASC), Vol. 111, Iss. 107685, ISSN: 1568-4946, DOI: https://doi.org/10.1016/j.asoc.2021.107685, 2021 IS 9.03, CoB List: Top Quality
  • Ardjmand, E., Singh, M., Shakeri, H., Tavasoli, A., Young, W. (2021) Mitigating the Risk of Infection Spread in Manual Order Picking Operations: A Multi-Objective Approach, Applied Soft Computing (ASC), Vol. 100, Iss. 106953, ISSN 1568-4946, DOI: https://doi.org/10.1016/j.asoc.2020.106953, 2021 IS 9.03, CoB List: Top Quality
  • Ardjmand, E., Shakeri, H., Tavasoli, A., & Young, W., (2021) Incentive Rate Determination in Viral Marketing, European Journal of Operational Research (EJOR), Vol. 289, Iss. 3, pp. 1169-1187, ISSN, 0377-2217, DOI: https://doi.org/10.1016/j.ejor.2020.07.046, 2021 IS 6.39, CoB List: Top Quality
  • Ardjmand, E., Young, W., & Almasarwah, N. (2021) Detecting Community Structures within Complex Networks Using a Discrete Unconscious Search Algorithm, International Journal of Operations Research and Information Systems (IJORIS), 12, Iss. 2, Article 2, pp. 15-32, DOI: https://doi.org/10.1111/coin.12273
  • Gabler, C., Goodnite, A., Pueschel, A., & Young, W. (2020) Location, Location, Location? The Impact of Site Selection on Global Learning in Short-Term Study Abroad, Journal of Scholastic Inquiry: Business (JSIB), 1, Iss. 11, pp. 107-122, DOI: N/A
  • Ardjmand, E., Ghalehkhondabi, I., Young, W., Sadeghi, A., Weckman, G. & Shakeri, H., (2020) A Hybrid Artificial Neural Network, Genetic Algorithm and Column Generation Heuristic for Minimizing Makespan in Manual Order Picking Operations, Expert Systems with Applications (ESWA), Vol. 159, Iss. 113566, ISSN 0957-4174, DOI: https://doi.org/10.1016/j.eswa.2020.113566, 2020 IS 8.67, 2021 IS 9.60, CoB List: Top Quality
  • Young, W. & Matta, V. (2020) How a College Resolved the Problem of Multi-Criteria Team Formation, International Journal of Society Systems Science (IJSSS), IJSSS-263147, 12, Iss. 4, pp. 329-351, DOI: https://doi.org/10.1504/IJSSS.2020.112406
  • Ardjmand, E., Young, W., Ghalehkhondabi, I, & Weckman, G., (2020), A Scheduling and Rescheduling Decision Support System for Apparel Manufacturing, International Journal of Operations Research and Information Systems (IJORIS): Special Issue on Industrial Innovation Systems and Applications, 12 Iss. 4, pp. 1-19, DOI: 10.4018/IJORIS.20211001.oa4
  • Young, W. & Weckman, G. (2020) A Team-Compatibility Decision Support System for the National Football League, International Journal of Computer Science in Sport (IJCSS), 19, Iss. 1, pp. 60-101, DOI: 10.2478/ijcss-2020-0005, 2020 IS 1.42, 2021 IS 1.63
  • Sinaki, R. Sadeghi, A., Lynch, D., Young, W. & Weckman G. (2020) Financial Asset Management using Artificial Neural Networks, International Journal of Operations Research and Information Systems (IJORIS), 11, Iss. 3, pp., 66-88, DOI: 10.4018/IJORIS.2020070104
  • Murtaza, N., Dag, A., Young, W., & Dursun, D. (2020) Determining Optimal Skillsets for Managers Based on Local and Global Job Markets: A Text Analytics Approach, Decision Sciences Journal of Innovative Education (DSJIE), 18, Iss. 3, pp. 374-408, DOI: https://doi.org/10.1111/dsji.12212, 2020 IS 1.30, 2021 IS 1.74Ardjmand, E., Youssef, E., Weckman, G., Young, W. Shakeri, H., & Moyer, A. (2020) A Multi-Objective Model for Minimizing Makespan and Total Travel Time in Put Wall Based Picking Systems, International Journal of Logistics Systems and Management (IJLSM), 36, Iss. 1, pp. 138-176, DOI: https://doi.org/10.1504/IJLSM.2020.107230, 2020 IS 1.09, 2021 IS 1.36
  • Sadeghi, A., Younes Sinaki, R., Young, W., & Weckman, G., (2020) An Intelligent Model to Predict Energy Performances of Residential Buildings Based on Deep Neural Networks, Energies: Special Issue: Optimal Design and Operation of Sustainable Energy Systems, 13, Iss. 3, pp. 571-594, DOI: https://doi.org/10.3390/en13030571, 2020 IS 3.44, 2021 IS 3.54
  • Sadeghi, A., Younes Sinaki, R., Young, W., & Weckman, G., (2020) An Intelligent Model to Predict Energy Performances of Residential Buildings Based on Deep Neural Networks, Energies: Special Issue: Optimal Design and Operation of Sustainable Energy Systems, 13(3), 571-594
  • Ghalehkhondabi, I., Ardjmand, E., Young, W. & Weckman, G. (2019) A Review of Demand Forecasting Models and Methodological Developments within Tourism and Passenger Transportation Industry, Journal of Tourism Futures (JTF), Vol. 5, Iss. 1, pp. 75-93
  • Ardjmand, E., Bajgiran, O. S., Rahman, S., Weckman, G. & Young, W. (2018) A Multi-Objective Model for Order Cartonization and Fulfillment Center Assignment in the E-tail/Retail Industry, Transportation Research Part E: Logistics and Transportation Review (TRLTR), Vol. 115, pp. 16–34
  • Kayaalp, N., Weckman, G., Young, W., Millie, D., & Celikbilek, C., (2017) Extracting Customer Opinions Associated with a Feature by Using a Sentence Segmentation Approach, International Journal of Business Information Systems (IJBIS), Vol. 26, No. 2, pp. 236-260
  • Ardjmand, E., Weckman, G., Young, W., Bajgiran, O., & Aminipour, A. (2016) A Robust Optimization Model for Production Planning and Pricing under Demand Uncertainty, International Journal of Production Research (IJPR), Vol. 54, Iss. 13, pp. 3885-3905
  • Ardjmand, E., Young, W., Weckman, G, Bajgiran, O., Aminipour, B., Park, N. (2016) Applying Genetic Algorithm to a New Bi-Objective Stochastic Model for Transportation, Location, and Allocation of Hazardous Materials, Expert Systems with Applications (ESWA), Vol. 51, Iss. C, pp. 49-58
  • Young, W., Nykl, S., Weckman, G. & Chelberg, D. (2014) Using Voronoi Diagrams to Improve Classification Performances when Modeling Imbalanced Datasets, Neural Computing and Applications (NCA), Vol. 26, Iss. 5, pp. 1041-1054

Presentations & Awards

  • Charles G. O’Bleness Associate Professor 2021
  • University Professor Award 2020
  • College of Business Research Award, 2018
  • Charles G. O’Bleness Associate Professor, 2018<
  • College of Business Graduate Teaching Award, 2017
  • Charles M. Copeland Assistant Professor, 2017
  • College of Business Research Award, 2017
  • College of Business Senior Class Faculty Recognition Award, 2016
  • INFORMS Cincinnati-Dayton Outstanding Young OR/MS Award, 2015
  • Charles M. Copeland Assistant Professor, 2015

Bio

Dr. William A. Young II is an enthusiastic educator, an active researcher, and a team-oriented collaborator in service. At Ohio University’s College of Business, Young is the Director of the Online Master of Business Administration (OMBA) program, the Director of the Online Master of Business Analytics (OMBAn), and a Charles G. O’Bleness Associate Professor of Business Analytics in the Department of Analytics and Information Systems. As an Associate Professor, Young received Ohio University’s University Professor Award in 2020. Young earned his doctorate in Mechanical and Systems Engineering from Ohio University’s Russ College of Engineering and Technology in 2010. William also received bachelor’s and master’s degrees in Electrical Engineering at Ohio University in 2002 and 2005, respectively. William has collaborated with multidisciplinary teams of faculty, students, and professionals on projects and programs that have been funded by General Electric Aviation, the National Science Foundation, Sogeti, Capgemini, and Ohio’s Department of Labor. Young's primary research and teaching interests relate to business analytics and operations management. In terms of his research, Young has various peer-reviewed articles related to operation management, healthcare services, and environmental systems, as well as specific interests in quantitative sports analysis, and educational technologies and techniques for innovative curriculum development and teaching instruction. Young has published his articles in journals such as Expert Systems with Applications, Applied Soft Computing, International Journal of Production Research, European Journal of Operational Research, Transportation Research Part E: Logistics and Transportation Review, Neural Computing & Applications, and Computers and Industrial Engineering. Young has co-authored a college course textbook titled ‘Excel’ in Business Analytics.