Synergizing ChatGPT and experiential learning: unravelling TOC based production planning and control variants through the dice game

References

• Alloni, Anna, Elena Sinforiani, Chiara Zucchella, Giorgio Sandrini, Sara Bernini, Barbara Cattani, Daniela Tost Pardell, Silvana Quaglini, and Caterina Pistarini. 2017. “Computer-based Cognitive Rehabilitation: The CoRe System.” Disability and Rehabilitation 39 (4): 407–417. https://doi.org/10.3109/09638288.2015.1096969.
   PubMed Web of Science ®Google Scholar
• Ammar, Salwa, and Ronald Wright. 1999. “Experiential Learning Activities in Operations Management.” International Transactions in Operational Research 6 (2): 183–197. https://doi.org/10.1111/j.1475-3995.1999.tb00150.x.
   Google Scholar
• Ashton, F. 1985. “Master Production Scheduling for Original Equipment Automotive Suppliers.” Production Inventions Management 26 (4): 71–82.
   Google Scholar
• Bahadoorsingh, Sanjay, Ronald Dyer, and Chandrabhan Sharma. 2016. “Integrating Serious Games into the Engineering Curriculum-a Game-based Learning Approach to Power Systems Analysis.” International Journal of Computational Vision and Robotics 6 (3): 276–289. https://doi.org/10.1504/IJCVR.2016.077372.
   Google Scholar
• Balzano, M. 2022. “Serendipity in Management Studies: A Literature Review and Future Research Directions.” Management Decision 60 (13): 130–152. https://doi.org/10.1108/MD-02-2022-0245.
   Web of Science ®Google Scholar
• Bellotti, F., R. Berta, A. De Gloria, E. Lavagnino, A. Antonaci, F. Dagnino, M. Ott, M. Romero, M. Usart, and I. S. Mayer. 2014. “Serious Games and the Development of an Entrepreneurial Mindset in Higher Education Engineering Students.” Entertainment Computing 5 (4): 357–366. https://doi.org/10.1016/j.entcom.2014.07.003.
   Google Scholar
• Benavides, Marcos Buestán, and Hendrik Van Landeghem. 2015. “Implementation of S-DBR in Four Manufacturing SMEs: A Research Case Study.” Production Planning & Control 26 (13): 1110–1127. https://doi.org/10.1080/09537287.2015.1015060.
   Web of Science ®Google Scholar
• Berenji, Hossein Rikhtehgar, and Hossein Najmi. 2021. “Game-based Pedagogy in Operations Management: Impact of Playing a Simulation Game and Providing Feedback on Students’ Knowledge.” International Journal of Information and Operations Management Education 7 (2): 179–209. https://doi.org/10.1504/IJIOME.2021.119116.
   Google Scholar
• Bertrand, J. W. M., and J. Wingaard. 1986. “The Structuring of Production Control Systems.” International Journal of Operations & Production Management 6 (2): 5–20. https://doi.org/10.1108/eb054756.
   Google Scholar
• Blackstone, John H., Jr., and James F Cox, III. 2002. “Designing Unbalanced Lines-understanding Protective Capacity and Protective Inventory.” Production Planning & Control 13 (4): 416–423. https://doi.org/10.1080/09537280110121091.
   Web of Science ®Google Scholar
• Bonwell, Charles C, and James A Eison. 1991. Active Learning: Creating Excitement in the Classroom. ASHE-ERIC higher education reports. 1st ed. Washington: Jossey-Bass.
   Google Scholar
• Boyd, Lynn, and Mahesh Gupta. 2004. “Constraints Management: What is the Theory?” International Journal of Operations & Production Management 24 (4): 350–371. https://doi.org/10.1108/01443570410524631.
   Web of Science ®Google Scholar
• Chakravorty, Satya S. 2001. “An Evaluation of the DBR Control Mechanism in a Job Shop Environment.” Omega 29 (4): 335–342. https://doi.org/10.1016/S0305-0483(01)00028-7.
   Web of Science ®Google Scholar
• Chakravorty, Satya S., and Douglas N. Hales. 2016. “Improving Labour Relations Performance Using a Simplified Drum Buffer Rope (S-DBR) Technique.” Production Planning & Control 27 (2): 102–113. https://doi.org/10.1080/09537287.2015.1079744.
   Web of Science ®Google Scholar
• Chang, Yung-Chia, and Wen-Tso Huang. 2014. “An Enhanced Model for S-DBR in a Random Reentrant Flow Shop Environment.” International Journal of Production Research 52 (6): 1808–1826. https://doi.org/10.1080/00207543.2013.848491.
   Web of Science ®Google Scholar
• Cheng, Ching-Hsue, and Chung-Ho Su. 2012. “A Game-based Learning System for Improving Student’s Learning Effectiveness in System Analysis Course.” Procedia-Social and Behavioral Sciences 31: 669–675. https://doi.org/10.1016/j.sbspro.2011.12.122.
   Google Scholar
• Clochesy, John M., Marc Buchner, Ronald L Hickman, Jr., Melissa D. Pinto, and Kyle Znamenak. 2015. “Creating a Serious Game for Health.” Journal of Health and Human Services Administration 38 (2): 162–173. https://doi.org/10.1177/107937391503800202.
   PubMedGoogle Scholar
• Coman, Alex, and Boaz Ronen. 1995. “Information Technology in Operations Management: A Theory-of-constraints Approach.” International Journal of Production Research 33 (5): 1403–1415. https://doi.org/10.1080/00207549508930217.
   Web of Science ®Google Scholar
• Cox, J. F., Lynn H. Boyd, Timothy T. Sullivan, Richard A. Reid, and Brad Cartier. 2012. The Theory of Constraints International Certification Organization Dictionary. New York, NY: McGraw-Hill.
   Google Scholar
• Cox, James F., and John G. Schleier. 2010. Theory of Constraints Handbook. New York: McGraw-Hill.
   Google Scholar
• Criscione-Naylor, Noel. 2018. “Exploring Entrepreneurial Architecture for the Service Industries: The Emerging Role of Storytelling in Higher Education.” International Journal of Qualitative Research in Services 3 (1): 1–10. https://doi.org/10.1504/IJQRS.2018.091533.
   Google Scholar
• Crocco, Francesco, Kathleen Offenholley, and Carlos Hernandez. 2016. “A Proof-of-concept Study of Game-based Learning in Higher Education.” Simulation & Gaming 47 (4): 403–422. https://doi.org/10.1177/1046878116632484.
   Web of Science ®Google Scholar
• Darlington, John, Mark Francis, Pauline Found, and Andrew Thomas. 2015. “Design and Implementation of a Drum-buffer-rope Pull-system.” Production Planning & Control 26 (6): 489–504. https://doi.org/10.1080/09537287.2014.926409.
   Web of Science ®Google Scholar
• da Silva, Luana Cristina Barbieri, Ana Claudia Loureiro, Fábio Moda Magoni, and Vitor Manuel Barrigão Gonçalves. 2022. “Active Methodologies and Digital Technologies in Learning: A Systematic Literature Review.” In 17th Iberian conference on information systems and technologies (CISTI), 1–5.
   Google Scholar
• Dempsey, John V. 1996. “Instructional Applications of Computer Games.” In Annual Meeting of the American Educational Research Association. New York City: ERIC.
   Google Scholar
• Ebner, Martin, and Andreas Holzinger. 2007. “Successful Implementation of User-centered Game Based Learning in Higher Education: An Example from Civil Engineering.” Computers & Education 49 (3): 873–890.
   Web of Science ®Google Scholar
• Eltahir, Mohd Elmagzoub, Najeh Rajeh Alsalhi, Sami Al-Qatawneh, Hatem Ahmad AlQudah, and Mazan Jaradat. 2021. “The Impact of Game-based Learning (GBL) on Students’ Motivation, Engagement and Academic Performance on an Arabic Language Grammar Course in Higher Education.” Education and Information Technologies 26 (3): 3251–3278. https://doi.org/10.1007/s10639-020-10396-w.
   Web of Science ®Google Scholar
• Fiksel, J. 2011. “Towards a Resilient Manufacturing System.” CIRP Annals – Manufacturing Technology 60 (1): 469–472. https://doi.org/10.1016/j.cirp.2011.03.041.
   Web of Science ®Google Scholar
• Fox, Robert E., and Eliyahu M. Goldratt. 1986. The Race. New York: North River Press.
   Google Scholar
• Gilland, Wendell G. 2002. “A Simulation Study Comparing Performance of CONWIP and Bottleneck-Based Release Rules.” Production Planning & Control 13 (2): 211–219.
   Web of Science ®Google Scholar
• Goldratt, Eliyahu M. 1988. “Computerized Shop Floor Scheduling.” International Journal of Production Research 26 (3): 443–455. https://doi.org/10.1080/00207548808947875.
   Web of Science ®Google Scholar
• Goldratt, Eliyahu M. 2008. The Choice. New York: North River Press.
   Google Scholar
• Goldratt, Eliyahu M. 2009. “Standing on the Shoulders of Giants: Production Concepts versus Production Applications. The Hitachi Tool Engineering Example.” Gestão & Produção 16 (3): 333–343. https://doi.org/10.1590/S0104-530X2009000300002.
   Google Scholar
• Goldratt, Eliyahu M., and Jeff Cox. 1984. The Goal: Excellance in Manufacturing. New York: North River Press.
   Google Scholar
• Guan, Z. L., Y. F. Peng, X. L. Yang, and X. Y. Shao. 2007. “TOC/DBR Based Production Planning and Control in a Manufacturing System with Multiple System Bottlenecks.” In 2007 IEEE International Conference on Industrial Engineering and Engineering Management, 1078–1082. IEEE.
   Google Scholar
• Guide, V. Daniel R., Jr. 1996. “Scheduling Using Drum-buffer-rope in a Remanufacturing Environment.” International Journal of Production Research 34 (4): 1081–1091. https://doi.org/10.1080/00207549608904951.
   Web of Science ®Google Scholar
• Gupta, M., and S. Andersen. 2012. “Revisiting Local TOC Measures in an Internal Supply Chain: A Note.” International Journal of Production Research 50 (19): 5363–5371. https://doi.org/10.1080/00207543.2011.627389.
   Web of Science ®Google Scholar
• Gupta, Mahesh C., and Lynn H. Boyd. 2008. “Theory of Constraints: A Theory for Operations Management.” International Journal of Operations & Production Management 28 (10): 991–1012. https://doi.org/10.1108/01443570810903122.
   Web of Science ®Google Scholar
• Gupta, Mahesh, and Lynn Boyd. 2011. “An Excel-based Dice Game: An Integrative Learning Activity in Operations Management.” International Journal of Operations & Production Management 31 (6): 608–630. https://doi.org/10.1108/01443571111131962.
   Web of Science ®Google Scholar
• Gupta, Mahesh, Hyun-Jeung Ko, and Hokey Min. 2002. “TOC-based Performance Measures and Five Focusing Steps in a Job-Shop Manufacturing Environment.” International Journal of Production Research 40 (4): 907–930. https://doi.org/10.1080/00207540110097185.
   Web of Science ®Google Scholar
• Gupta, Mahesh, and Doug Snyder. 2009. “Comparing TOC with MRP and JIT: A Literature Review.” International Journal of Production Research 47 (13): 3705–3739. https://doi.org/10.1080/00207540701636322.
   Web of Science ®Google Scholar
• Hadas, L., P. Cyplik, and M. Fertsch. 2009. “Method of Buffering Critical Resources in Make-to-order Shop Floor Control in Manufacturing Complex Products.” International Journal of Production Research 47 (8): 2125–2139. https://doi.org/10.1080/00207540802572582.
   Web of Science ®Google Scholar
• Hill, T. J. 1987. “Teaching and Research Directions in Production/Operations Management: The Manufacturing Sector.” International Journal of Operations & Production Management 7 (4): 5–12. https://doi.org/10.1108/eb054795.
   Google Scholar
• Hill, John M. D., Clark K. Ray, Jean R. S. Blair, and Curtis A Carver, Jr. 2003. “Puzzles and Games: Addressing Different Learning Styles in Teaching Operating Systems Concepts.” In Proceedings of the SIGCSE Technical Symposium on Computer Science Education, 182–186.
   Google Scholar
• Ifandoudas, Panayiotis, and Ross Chapman. 2009. “A Practical Approach to Achieving Agility–a Theory of Constraints Perspective.” Production Planning & Control 20 (8): 691–702. https://doi.org/10.1080/09537280903107473.
   Web of Science ®Google Scholar
• Ikeziri, Lucas Martins, Fernando Bernardi de Souza, Mahesh C Gupta, and Paula de Camargo Fiorini. 2019. “Theory of Constraints: Review and Bibliometric Analysis.” International Journal of Production Research 57:15–16.
   Web of Science ®Google Scholar
• Jääskä, Elina, and Kirsi Aaltonen. 2022. “Teachers’ Experiences of Using Game-based Learning Methods in Project Management Higher Education.” Project Leadership and Society 3:100041. https://doi.org/10.1016/j.plas.2022.100041.
   Google Scholar
• Jackson, P., K. Bourland, and J. Muckstadt. 1997. “Llenroc Plastics: Teaching Notes.” Cornell University Operations Research and Industrial Engineering.
   Google Scholar
• Jesus Pacheco, Diego Augusto de, José Antonio Valle Antunes Junior, and Celso Augusto de Matos. 2021. “The Constraints of Theory: What is the Impact of the Theory of Constraints on Operations Strategy?” International Journal of Production Economics 235:107955. https://doi.org/10.1016/j.ijpe.2020.107955.
   Web of Science ®Google Scholar
• Jodlbauer, H., and A. Huber. 2008. “Service-level Performance of MRP, Kanban, CONWIP and DBR Due to Parameter Stability and Environmental Robustness.” International Journal of Production Research 46 (8): 2179–2195. https://doi.org/10.1080/00207540600609297.
   Web of Science ®Google Scholar
• Johnson, Arvid C., and Anne M. Drougas. 2002. “Using Goldratt’s Game to Introduce Simulation in the Introductory Operations Management Course.” INFORMS Transactions on Education 3 (1): 20–33. https://doi.org/10.1287/ited.3.1.20.
   Google Scholar
• Karagiorgas, Dimitrios N, and Shari Niemann. 2017. “Gamification and Game-based Learning.” Journal of Educational Technology Systems 45 (4): 499–519. https://doi.org/10.1177/0047239516665105.
   Google Scholar
• Kim, Seonmin, James F Cox, and Victoria J Mabin. 2010. “An Exploratory Study of Protective Inventory in a Re-entrant Line with Protective Capacity.” International Journal of Production Research 48 (14): 4153–4178.
   Web of Science ®Google Scholar
• Koh, S.-G., and R. L. Bulfin. 2004. “Comparison of DBR with CONWIP in an Unbalanced Production Line with Three Stations.” International Journal of Production Research 42 (2): 391–404. https://doi.org/10.1080/00207540310001612026aa.
   Web of Science ®Google Scholar
• Kolb, David A. 2014. Experiential Learning: Experience as the Source of Learning and Development. Englewood Cliffs, NJ: Prentice Hall.
   Google Scholar
• Kolb, Alice Y, and David A Kolb. 2005. “Learning Styles and Learning Spaces: Enhancing Experiential Learning in Higher Education.” Academy of Management Learning & Education 4 (2): 193–212. https://doi.org/10.5465/amle.2005.17268566.
   Web of Science ®Google Scholar
• Kronlid, David O, and Heila Lotz-Sisitka. 2014. “Transformative Learning and Individual Adaptation.” In Climate Change Adaptation and Human Capabilities: Justice and Ethics in Research and Policy, 75–105. Palgrave Macmillan, New York: Springer.
   Google Scholar
• Lambrecht, Marc, Stefan Creemers, Robert Boute, and Roel Leus. 2012. “Extending the Production Dice Game.” International Journal of Operations & Production Management 32 (12): 1460–1472. https://doi.org/10.1108/01443571211284197.
   Web of Science ®Google Scholar
• Lampel, Joseph, and Henry Mintzberg. 1996. “Customizing Customization.” MIT Sloan Management Review.
   Google Scholar
• Lee, Jun-Huei, Jia-Ging Chang, Chih-Hung Tsai, and Rong-Kwei Li. 2010. “Research on Enhancement of TOC Simplified Drum-buffer-rope System Using Novel Generic Procedures.” Expert Systems with Applications 37 (5): 3747–3754.
   Web of Science ®Google Scholar
• Lester, James C., Hiller A. Spires, John L. Nietfeld, James Minogue, Bradford W. Mott, and Eleni V. Lobene. 2014. “Designing Game-based Learning Environments for Elementary Science Education: A Narrative-Centered Learning Perspective.” Information Sciences 264:4–18. https://doi.org/10.1016/j.ins.2013.09.005.
   Web of Science ®Google Scholar
• Manikas, Andrew, Mahesh Gupta, and Lynn Boyd. 2015. “Experiential Exercises with Four Production Planning and Control Systems.” International Journal of Production Research 53 (14): 4206–4217. https://doi.org/10.1080/00207543.2014.985393.
   Web of Science ®Google Scholar
• McDowell, Perry, Rudolph Darken, Joe Sullivan, and Erik Johnson. 2006. “Delta3D: A Complete Open Source Game and Simulation Engine for Building Military Training Systems.” The Journal of Defense Modeling and Simulation 3 (3): 143–154. https://doi.org/10.1177/154851290600300302.
   Google Scholar
• McMurtrie, B. 2022. “AI and the Future of Undergraduate Writing. The Chronicle of Higher Education.” https://www.chronicle.com/article/ai-and-the-future-ofundergraduate-writing.
   Google Scholar
• Memarian, Bahar, and Tenzin Doleck. 2023. “ChatGPT in Education: Methods, Potentials, and Limitations.” Computers in Human Behavior: Artificial Humans 1:100022. https://doi.org/10.1016/j.chbah.2023.100022.
   Google Scholar
• Meyer, Brad C., and Debra S. Bishop. 2011. “The Ordering Challenge: An Online Game to Introduce Independent Demand Inventory Concepts.” Decision Sciences Journal of Innovative Education 9 (2): 315–320. https://doi.org/10.1111/j.1540-4609.2011.00306.x.
   Google Scholar
• Meyer, Brad C., and Debra S. Bishop. 2016. “Stock Control: Learning Inventory Concepts by Beating Levels and Winning Prizes.” Decision Sciences Journal of Innovative Education 14 (3): 315–336.
   Google Scholar
• Millstein, Mitchell A, and Joseph S Martinich. 2014. “Takt Time Grouping: Implementing Kanban-flow Manufacturing in an Unbalanced, High Variation Cycle-time Process with Moving Constraints.” International Journal of Production Research 52 (23): 6863–6877. https://doi.org/10.1080/00207543.2014.910621.
   Web of Science ®Google Scholar
• Miltenburg, J. 1997. “Comparing JIT, MRP and TOC, and Embedding TOC into MRP.” International Journal of Production Research 35 (4): 1147–1169. https://doi.org/10.1080/002075497195597.
   Web of Science ®Google Scholar
• Morgan, Fred W., and Judith A. Wright. 1989. “SalesHire: A Microcomputer-Based Salesperson Selection Exercise.” In Developments in Business Simulation and Experiential Learning: Proceedings of the Annual ABSEL Conference, Vol. 16.
   Google Scholar
• Naor, M., E. S. Bernardes, and A. Coman. 2013. “Theory of Constraints: Is it a Theory and a Good One?” International Journal of Production Research 51 (2): 542–554. https://doi.org/10.1080/00207543.2011.654137.
   Web of Science ®Google Scholar
• Ng, Amos H C, Jacob Bernedixen, and Anna Syberfeldt. 2012. “A Comparative Study of Production Control Mechanisms Using Simulation-based Multi-objective Optimisation.” International Journal of Production Research 50 (2): 359–377. https://doi.org/10.1080/00207543.2010.538741.
   Web of Science ®Google Scholar
• Nosich, Gerald M. 2012. “Learning to Think Things through: A Guide to Critical Thinking across the Curriculum.”
   Google Scholar
• Onwubolu, Godfrey C, and Michael Mutingi. 2001. “A Genetic Algorithm Approach to the Theory of Constraints Product Mix Problems.” Production Planning & Control 12 (1): 21–27. https://doi.org/10.1080/09537280150203942.
   Web of Science ®Google Scholar
• Othman, Bakkali Yedri, Slimani Abdelali, Belahbib Amine, and Bouhorma Mohamed. 2016. “Classification, Evaluation and Assessment of Serious Games in Business Field.” Journal of Theoretical and Applied Information Technology 91 (1): 83.
   Google Scholar
• Platz, Liane. 2022. “Learning with Serious Games in Economics Education a Systematic Review of the Effectiveness of Game-based Learning in Upper Secondary and Higher Education.” International Journal of Educational Research 115:102031. https://doi.org/10.1016/j.ijer.2022.102031.
   Web of Science ®Google Scholar
• Popper, Karl R. 1957. “Irreversible Processes in Physical Theory.” Nature 179 (4573): 1297. https://doi.org/10.1038/1791297a0.
   PubMed Web of Science ®Google Scholar
• Porter, A. 2019. “Student Engagement, Experiential Education, and the World of Tomorrow.” Association for Experiential Education, Accessed October 29, 2019. https://www.linkedin.com/pulse/student-engagement-experiential-education-world-tomorrow-potter/.
   Google Scholar
• Riezebos, J., G. J. Korte, and M. J. Land. 2003. “Improving a Practical DBR Buffering Approach Using Workload Control.” International Journal of Production Research 41 (4): 699–712. https://doi.org/10.1080/0020754031000065485.
   Web of Science ®Google Scholar
• Ronen, B., and E. Rozen. 1992. “The Missing Link between Manufacturing Strategy and Production Planning.” The International Journal of Production Research 30 (11): 2659–2681. https://doi.org/10.1080/00207549208948183.
   Web of Science ®Google Scholar
• Ross, Adam M., Matthew E. Fitzgerald, and Donna H. Rhodes. 2014. “Game-based Learning for Systems Engineering Concepts.” Procedia Computer Science 28:430–440. https://doi.org/10.1016/j.procs.2014.03.053.
   Google Scholar
• Russell, G. R., and T. D. Fry. 1997. “Order Review/Release and Lot Splitting in Drum-buffer-rope.” International Journal of Production Research 35 (3): 827–845. https://doi.org/10.1080/002075497195731.
   Web of Science ®Google Scholar
• Sahi, Gurjeet, Mahesh C. Gupta, and Pankaj C. Patel. 2017. “A Measure of Throughput Orientation: Scale Development and Nomological Validation.” Decision Sciences 48 (3): 420–453. https://doi.org/10.1111/deci.12227.
   Web of Science ®Google Scholar
• Saif, Ullah, Zailin Guan, Chuangjian Wang, Cong He, Lei Yue, and Jahanzaib Mirza. 2019. “Drum Buffer Rope-based Heuristic for Multi-level Rolling Horizon Planning in Mixed Model Production.” International Journal of Production Research 57 (12): 3864–3891. https://doi.org/10.1080/00207543.2019.1569272.
   Web of Science ®Google Scholar
• Sale, Martha L, and R Anthony Inman. 2003. “Survey-based Comparison of Performance and Change in Performance of Firms Using Traditional Manufacturing, JIT and TOC.” International Journal of Production Research 41 (4).
   Web of Science ®Google Scholar
• Schaefers, J., R. Aggoune, F. Becker, and R. Fabbri. 2004. “TOC-based Planning and Scheduling Model.” International Journal of Production Research 42 (13): 2639–2649. https://doi.org/10.1080/00207540410001691910.
   Web of Science ®Google Scholar
• Schragenheim, Eli, and H. William Dettmer. 2000. Manufacturing at Warp Speed: Optimizing Supply Chain Financial Performance. New York: CRC Press.
   Google Scholar
• Schragenheim, Eli, and Boaz Ronen. 1990. “Drum-buffer-rope Shop Floor Control.” Production and Inventory Management Journal 31 (3): 18–22.
   Google Scholar
• Seleem, Sameh N, El-Awady Attia, and Ahmed El-Assal. 2016. “Managing Performance Improvement Initiatives Using DEMATEL Method with Application Case Study.” Production Planning & Control 27 (7–8): 637–649.
   Web of Science ®Google Scholar
• Shaaban, Sabry, and Abdul Salam Darwish. 2016. “Production Systems: Successful Applications and New Challenges Part One–lean, Six Sigma, Inventory, JIT and TOC.” Production Planning & Control 27 (7–8): 539–540. https://doi.org/10.1080/09537287.2016.1165309.
   Web of Science ®Google Scholar
• Simons, J. V., Jr., W. P. Simpson, III, B. J. Carlson, S. W. James, C. A. Lettiere, and B. A. Mediate, Jr. 1996. “Formulation and Solution of the Drum-buffer-rope Constraint Scheduling Problem (DBRCSP).” International Journal of Production Research 34 (9): 2405–2420. https://doi.org/10.1080/00207549608905035.
   Web of Science ®Google Scholar
• Simons, J. V., M. D. Stethens, and W. P. Simpson. 1999. “Simultaneous versus Sequential Scheduling of Multiple Resources Which Constrain System Throughput.” International Journal of Production Research 37 (1): 21–33. https://doi.org/10.1080/002075499191896.
   Web of Science ®Google Scholar
• Sirikrai, V., and P. Yenradee. 2006. “Modified Drum–buffer–rope Scheduling Mechanism for a Non-identical Parallel Machine Flow Shop with Processing-Time Variation.” International Journal of Production Research 44 (17): 3509–3531. https://doi.org/10.1080/00207540600584805.
   Web of Science ®Google Scholar
• Snider, Brent, and Jaydeep Balakrishnan. 2013. “Lessons Learned from Implementing Web-based Simulations to Teach Operations Management Concepts.” INFORMS Transactions on Education 13 (3): 152–161. https://doi.org/10.1287/ited.2013.0108.
   Google Scholar
• Souza, Fernando Bernardi de, Vinicius Amorim Sobreiro, Marcelo Seido Nagano, and Jair Wagner de Souza Manfrinato. 2013. “When Less is Better: Insights from the Product Mix Dilemma from the Theory of Constraints Perspective.” International Journal of Production Research 51 (19): 5839–5852. https://doi.org/10.1080/00207543.2013.802052.
   Web of Science ®Google Scholar
• Srivastava, Sankalp. 2023. “Analysing ChatGPT through the Lens of a Researcher.” International Journal of Scientific Research in Engineering and Management 7 (5). https://doi.org/10.55041/IJSREM19656.
   Google Scholar
• Steele*, Daniel C., Patrick R. Philipoom, Manoj K. Malhotra, and Timothy D. Fry. 2005. “Comparisons between Drum–Buffer–Rope and Material Requirements Planning: A Case Study.” International Journal of Production Research 43 (15): 3181–3208. https://doi.org/10.1080/00207540500076704.
   Web of Science ®Google Scholar
• Sterman, J. 1992. “Teaching Takes off: Flight Simulators for Management Education—‘The Beer Game’.” Accessed July 27, 2020
   Google Scholar
• Stevenson*, Mark, Linda C. Hendry, and Brian G. Kingsman. 2005. “A Review of Production Planning and Control: The Applicability of Key Concepts to the Make-to-order Industry.” International Journal of Production Research 43 (5): 869–898. https://doi.org/10.1080/0020754042000298520.
   Web of Science ®Google Scholar
• Takahashi, Katsuhiko, Katsumi Morikawa, and Ying-Chuan Chen. 2007. “Comparing Kanban Control with the Theory of Constraints Using Markov Chains.” International Journal of Production Research 45 (16): 3599–3617. https://doi.org/10.1080/00207540701228153.
   Web of Science ®Google Scholar
• Tate, Pamela J., and Morris T. Keeton. 1978. Learning by Experience-what, Why, How Morris T. Keeton, Pamela J. Tate Editors. San Francisco: Jossey-Bass.
   Google Scholar
• Tayalı, H Alper. 2016. “A Literature Review on Production Scheduling with the Drum-Buffer-Rope Technique.” In 16th International Symposium for Production Research, Istanbul Technical University, 1085–1090.
   Google Scholar
• Terwiesch, Christian. 2023. “Would chat GPT3 get a Wharton MBA.” A Prediction Based on its Performance in the Operations Management Course.
   Google Scholar
• Thürer, Matthias, Nuno O. Fernandes, Stefan Haeussler, and Mark Stevenson. 2023. “Dynamic Planned Lead Times in Production Planning and Control Systems: Does the Lead Time Syndrome Matter?” International Journal of Production Research 61 (4): 1268–1282.
   Web of Science ®Google Scholar
• Thürer, Matthias, Nuno O. Fernandes, and Mark Stevenson. 2022. “Production Planning and Control in Multi-stage Assembly Systems: An Assessment of Kanban, MRP, OPT (DBR) and DDMRP by Simulation.” International Journal of Production Research 60 (3): 1036–1050. https://doi.org/10.1080/00207543.2020.1849847.
   Web of Science ®Google Scholar
• Thürer, Matthias, and Mark Stevenson. 2018. “On the Beat of the Drum: Improving the Flow Shop Performance of the Drum–Buffer–Rope Scheduling Mechanism.” International Journal of Production Research 56 (9): 3294–3305. https://doi.org/10.1080/00207543.2017.1401245.
   Web of Science ®Google Scholar
• Thürer, Matthias, Mark Stevenson, Cristovao Silva, and Ting Qu. 2017. “Drum-buffer-rope and Workload Control in High-variety Flow and Job Shops with Bottlenecks: An Assessment by Simulation.” International Journal of Production Economics 188: 116–127. https://doi.org/10.1016/j.ijpe.2017.03.025.
   Web of Science ®Google Scholar
• Tibben-Lembke, Ronald S. 2009. “Theory of Constraints at UniCo: Analysing the Goal as a Fictional Case Study.” International Journal of Production Research 47 (7): 1815–1834. https://doi.org/10.1080/00207540802624003.
   Web of Science ®Google Scholar
• Tsekleves, Emmanuel, John Cosmas, and Amar Aggoun. 2016. “Benefits, Barriers and Guideline Recommendations for the Implementation of Serious Games in Education for Stakeholders and Policymakers.” British Journal of Educational Technology 47 (1): 164–183. https://doi.org/10.1111/bjet.12223.
   Web of Science ®Google Scholar
• Tseng, M. -F., and H. -H. Wu. 2006. “The Study of an Easy-to-use DBR and BM System.” International Journal of Production Research 44 (8): 1449–1478. https://doi.org/10.1080/00207540500336041.
   Web of Science ®Google Scholar
• Tuparova, Daniela, V. Veleva, and Georgi Tuparov. 2019. “About Some Barriers in Usage of Educational Computer Games by Teachers in STEM.” Proceedings of the International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO).
   Google Scholar
• Umble, M., E. Umble, and S. Murakami. 2006. “Implementing Theory of Constraints in a Traditional Japanese Manufacturing Environment: The Case of Hitachi Tool Engineering.” International Journal of Production Research 44 (10): 1863–1880. https://doi.org/10.1080/00207540500381393.
   Web of Science ®Google Scholar
• Wacker, John G. 2008. “A Conceptual Understanding of Requirements for Theory-building Research: Guidelines for Scientific Theory Building.” Journal of Supply Chain Management 44 (3): 5–15. https://doi.org/10.1111/j.1745-493X.2008.00062.x.
   Web of Science ®Google Scholar
• Wang, L chih, C yang Cheng, Y tsai Tseng, and Y fang Liu. 2015. “Demand-pull Replenishment Model for Hospital Inventory Management: A Dynamic Buffer-Adjustment Approach.” International Journal of Production Research 53 (24): 7533–7546. https://doi.org/10.1080/00207543.2015.1102353.
   Web of Science ®Google Scholar
• Watson, K. J., and A. Patti. 2008. “A Comparison of JIT and TOC Buffering Philosophies on System Performance with Unplanned Machine Downtime.” International Journal of Production Research 46 (7): 1869–1885. https://doi.org/10.1080/00207540600972943.
   Web of Science ®Google Scholar
• Watson, William, and Sha Yang. 2016. “Games in Schools: Teachers’ Perceptions of Barriers to Game-based Learning.” Journal of Interactive Learning Research 27 (2): 153–170.
   Google Scholar
• Wen, Zhang, Zhang Ya-Ming, Chen Jinbo, and Leng Kaijun. 2016. “Research on a Scheduling Mechanism in a Complex System Based on TOC.” Chaos, Solitons & Fractals 89:335–347. https://doi.org/10.1016/j.chaos.2015.12.017.
   Web of Science ®Google Scholar
• Whalen, Katherine A., Cecilia Berlin, Johanna Ekberg, Ilaria Barletta, and Peter Hammersberg. 2018. “All They do is Win: Lessons Learned from Use of a Serious Game for Circular Economy Education.” Resources, Conservation and Recycling 135:335–345. https://doi.org/10.1016/j.resconrec.2017.06.021.
   Web of Science ®Google Scholar
• Wheelwright, Steven C, and Robert H Hayes. 1985. “Competing through Manufacturing.” Harvard Business Review 63 (1): 99–109.
   Web of Science ®Google Scholar
• Whetten, David A. 1989. “What Constitutes a Theoretical Contribution?” Academy of Management Review 14 (4): 490–495. https://doi.org/10.2307/258554.
   Web of Science ®Google Scholar
• Wright, Christopher P. 2015. “Game—The Zu Zitter Game: A Course-Long Tool for Teaching Operations Management.” INFORMS Transactions on Education 15 (3): 240–253. https://doi.org/10.1287/ited.2015.0138.
   Google Scholar
• Wu, Horng-Huei, Ching-Piao Chen, Chih-Hung Tsai, and Tai-Ping Tsai. 2010. “A Study of an Enhanced Simulation Model for TOC Supply Chain Replenishment System under Capacity Constraint.” Expert Systems with Applications 37 (9): 6435–6440. https://doi.org/10.1016/j.eswa.2010.02.074.
   Web of Science ®Google Scholar
• Wu, Horng-Huei, Amy H. I. Lee, and Tai-Ping Tsai. 2014. “A Two-level Replenishment Frequency Model for TOC Supply Chain Replenishment Systems under Capacity Constraint.” Computers & Industrial Engineering 72: 152–159. https://doi.org/10.1016/j.cie.2014.03.006.
   Web of Science ®Google Scholar
• Wu, H. -H., and J. -Y. Liu. 2008. “A Capacity Available-to-promise Model for Drum-buffer-rope Systems.” International Journal of Production Research 46 (8): 2255–2274. https://doi.org/10.1080/00207540601039783.
   Web of Science ®Google Scholar
• Wu, H. -H., and M. -L. Yeh. 2006. “A DBR Scheduling Method for Manufacturing Environments with Bottleneck Re-entrant Flows.” International Journal of Production Research 44 (5): 883–902. https://doi.org/10.1080/00207540500362187.
   Web of Science ®Google Scholar
• Ye, T., and W. Han. 2008. “Determination of Buffer Sizes for Drum–Buffer–Rope (DBR)-controlled Production Systems.” International Journal of Production Research 46 (10): 2827–2844. https://doi.org/10.1080/00207540600922948.
   Web of Science ®Google Scholar
• Zhao, Y. 2016. “A Step Toward an Intelligent and Integrated Computer-Aided Design of Apparel Products.” Doctoral thesis, University of Saskatchewan. https://core.ac.uk/download/pdf/226145634.pdf.
   Google Scholar
• Zhao, Xiaofeng, and Jianrong Hou. 2014. “Analyzing the Time Buffer in the Theory of Constraints Based Lean Operations.” Journal of Management Analytics 1 (3): 185–199. https://doi.org/10.1080/23270012.2014.971890.
   Google Scholar
• Zheng, Kai-Wen, Chih-Hung Tsai, Rong-Kwei Li, Ching-Piao Chen, and Shih-Chieh Tsai. 2009. “The Development of the Distribution/VMI Game Based on Theory of Constraints.” Asian Journal on Quality 10 (1): 53–76. https://doi.org/10.1108/15982680980000627.
   Google Scholar