Multiobjective Line Balancing Game: Collaboration and Peer Evaluation

Taher Ahmadi (Corresponding author), Bo van der Rhee

Research output: Contribution to journalArticleAcademicpeer-review

1 Citation (Scopus)
77 Downloads (Pure)

Abstract

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.

Original languageEnglish
Pages (from-to)179-195
Number of pages17
JournalINFORMS Transactions on Education
Volume23
Issue number3
DOIs
Publication statusPublished - May 2023

Bibliographical note

Publisher Copyright:
Copyright: © 2022 The Author(s)

Keywords

  • classroom games
  • multiobjective line balancing
  • triple bottom line (TBL) framework

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