Multiobjective Line Balancing Game: Collaboration and Peer Evaluation
References
- (2018) Workload smoothing in simple assembly line balancing. Comput. Oper. Res. 89:51–57.Crossref, Google Scholar
- (2010) Kolb’s experiential learning model: Critique from a modelling perspective. Stud. Continuing Ed. 32(1):29–46.Crossref, Google Scholar
- Ding LP, Feng YX, Tan JR, Gao YC (2010) A new multi-objective ant colony algorithm for solving the disassembly line balancing problem. Internat. J. Advanced Manufacturing Tech. 48(5):761–771.Google Scholar
- (2021) Design and management of assembly systems 4.0: Systematic literature review and research agenda. Internat. J. Production Res. 60(1):184–210.Crossref, Google Scholar
- (1994) Toward the sustainable corporation: Win-win-win business strategies for sustainable development. California Management Rev. 36(2):90–100.Crossref, Google Scholar
- (2022) Teaching systems thinking in higher education. INFORMS Trans. Ed. 22(2):66–102.Link, Google Scholar
- (2012) Flow index based line balancing: A tool to improve the leanness of assembly line design. Internat. J. Production Res. 50(12):3345–3358.Crossref, Google Scholar
- (2008) Modeling multi-objective multi-stakeholder decisions: A case-exercise approach. INFORMS Trans. Ed. 8(3):103–114.Link, Google Scholar
- Figueira JR, Liefooghe A, Talbi EG, Wierzbicki AP (2010) A parallel multiple reference point approach for multi-objective optimization. Eur. J. Oper. Res. 205(2):390–400.Google Scholar
- (2020) Workers’ rest allowance and smoothing of the workload in assembly lines. Internat. J. Production Res. 58(4):1255–1270.Crossref, Google Scholar
- Groover MP (2016) Automation, Production Systems, and Computer-Integrated Manufacturing (Pearson Education India).Google Scholar
- Helgeson W, Birnie DP (1961) Assembly line balancing using the ranked positional weight technique. J. Indust. Engrg. 12(6):394–398.Google Scholar
- (2020) Case—The fendt variotakt: Revolutionizing mixed-model assembly line production. INFORMS Trans. Ed. 20(3):141–153.Link, Google Scholar
- (2007) Charging up the batteries: Squeezing more capacity and power into the new EU battery directive. Comput. Law Security Rev. 23(4):357–364.Crossref, Google Scholar
- Kilbridge M, Wester L (1961) A heuristic method of assembly line balancing. J. Indust. Engrg. 12(4):292–298.Google Scholar
- (2019) Active game-based learning of dynamics modeling and simulation in biomedical systems engineering. INFORMS Trans. Ed. 20(1):16–25.Link, Google Scholar
- Lojo MP (2016) Improving undergraduate student performance on the littlefield simulation. INFORMS Trans. Ed. 16(2):54–59.Google Scholar
- (2015) Heuristics and lower bounds for the simple assembly line balancing problem type 1: Overview, computational tests and improvements. Eur. J. Oper. Res. 240(1):32–42.Crossref, Google Scholar
- (2012) Examining the effectiveness of experiential teaching methods in small and large OM modules. Internat. J. Oper. Production Management 32(12):1473–1492.Crossref, Google Scholar
- (1991) Improving the equality of workload assignments in assembly lines. Internat. J. Production Res. 29(3):619–633.Crossref, Google Scholar
- (2004) On modeling line balancing problems in spreadsheets. INFORMS Trans. Ed. 4(2):45–48.Link, Google Scholar
- (1997) Simple assembly line balancing-heuristic approaches. J. Heuristics 2(3):217–244.Crossref, Google Scholar
- Snider B, Balakrishnan J (2013) Lessons learned from implementing web-based simulations to teach operations management concepts. INFORMS Trans. Ed. 13(3):152–161.Google Scholar
- (2017) Student peer evaluated line balancing competition. INFORMS Trans. Ed. 17(2):43–48.Link, Google Scholar
- (1986) A comparative evaluation of heuristic line balancing techniques. Management Sci. 32(4):430–454.Link, Google Scholar
- (2013) Teaching note-implementing line balancing heuristics in spreadsheets. INFORMS Trans. Ed. 13(2):114–125.Link, Google Scholar
- (2018) Interactive Excel-based procedure for line balancing. INFORMS Trans. Ed. 19(1):23–35.Google Scholar
- (1986) Optimal system design with multiple criteria: De novo programming approach. Engrg. Costs Production Econom. 10(1):89–94.Crossref, Google Scholar

