TY - JOUR
T1 - Multiobjective Line Balancing Game
T2 - Collaboration and Peer Evaluation
AU - Ahmadi, Taher
AU - van der Rhee, Bo
N1 - Publisher Copyright:
Copyright: © 2022 The Author(s)
PY - 2023/5
Y1 - 2023/5
N2 - We introduce a spreadsheet-based game, the multiobjective line balancing (MOLB) game, to teach assembly line balancing as a common topic of discussion in operations research, operations management, supply chain management, or management science courses at the undergraduate or graduate level. The MOLB game was designed based on the triple bottom line framework, in which the economic, social, and environmental aspects of line balancing decisions are simultaneously taken into account. The MOLB game can be played in teams of three or four students. First, each team receives unique information for balancing an assembly line. Each team should find as many feasible balances as possible in a collaborative form and then send the Pareto solution set and the best found solution to a peer team. In the second round of the game, the teams assess the results of a peer team first by trying to find infeasible or non-Pareto solutions and second by attempting to improve on the provided solutions. Finally, the reviewer team presents the results of the peer-review process to the entire class.
AB - We introduce a spreadsheet-based game, the multiobjective line balancing (MOLB) game, to teach assembly line balancing as a common topic of discussion in operations research, operations management, supply chain management, or management science courses at the undergraduate or graduate level. The MOLB game was designed based on the triple bottom line framework, in which the economic, social, and environmental aspects of line balancing decisions are simultaneously taken into account. The MOLB game can be played in teams of three or four students. First, each team receives unique information for balancing an assembly line. Each team should find as many feasible balances as possible in a collaborative form and then send the Pareto solution set and the best found solution to a peer team. In the second round of the game, the teams assess the results of a peer team first by trying to find infeasible or non-Pareto solutions and second by attempting to improve on the provided solutions. Finally, the reviewer team presents the results of the peer-review process to the entire class.
KW - classroom games
KW - multiobjective line balancing
KW - triple bottom line (TBL) framework
UR - http://www.scopus.com/inward/record.url?scp=85161286456&partnerID=8YFLogxK
U2 - 10.1287/ited.2022.0277
DO - 10.1287/ited.2022.0277
M3 - Article
AN - SCOPUS:85161286456
SN - 1532-0545
VL - 23
SP - 179
EP - 195
JO - INFORMS Transactions on Education
JF - INFORMS Transactions on Education
IS - 3
ER -