Journal ArticleDOI
The impact of a simulation game on operations management education
Federico Pasin,Hélène Giroux +1 more
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The results show that although simple decision-making skills can be acquired with traditional teaching methods, simulation games are more effective when students have to develop decision- making abilities for managing complex and dynamic situations.Abstract:
This study presents a new simulation game and analyzes its impact on operations management education. The proposed simulation was empirically tested by comparing the number of mistakes during the first and second halves of the game. Data were gathered from 100 teams of four or five undergraduate students in business administration, taking their first course in operations management. To assess learning, instead of relying solely on an overall performance measurement, as is usually done in the skill-based learning literature, we analyzed the evolution of different types of mistakes that were made by students in successive rounds of play. Our results show that although simple decision-making skills can be acquired with traditional teaching methods, simulation games are more effective when students have to develop decision-making abilities for managing complex and dynamic situations.read more
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An update to the systematic literature review of empirical evidence of the impacts and outcomes of computer games and serious games
Elizabeth Boyle,Thomas Hainey,Thomas Connolly,Grant Gray,Jeffrey Earp,Michela Ott,Theodore Lim,Manuel Ninaus,Cláudia Ribeiro,João Pereira +9 more
TL;DR: Future research on digital games would benefit from a systematic programme of experimental work, examining in detail which game features are most effective in promoting engagement and supporting learning.
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Game-based Learning and 21st century skills
Meihua Qian,Karen Rebecca Clark +1 more
TL;DR: Game-based learning and 21st-century skills have been gaining an enormous amount of attention from researchers and practitioners as discussed by the authors given numerous studies support the positive effects of games on learning, a growing number of researchers are committed to developing educational games to promote students' 21st century skill development in schools.
Journal ArticleDOI
A possibilistic programming approach for closed-loop supply chain network design under uncertainty
TL;DR: A bi-objective possibilistic mixed integer programming model to deal with closed-loop supply chain network design problems and an interactive fuzzy solution approach is developed by combining a number of efficient solution approaches from the recent literature.
Journal ArticleDOI
A memetic algorithm for bi-objective integrated forward/reverse logistics network design
TL;DR: This paper proposes a model for integrated logistics network design to avoid the sub-optimality caused by a separate, sequential design of forward and reverse logistics networks, and develops a bi-objective mixed integer programming formulation to minimize the total costs and maximize the responsiveness of a logistics network.
Journal ArticleDOI
Mathematical programming models for supply chain production and transport planning
TL;DR: A taxonomy framework based on supply chain structure, decision level, modeling approach, purpose, shared information, limitations, novelty and application is proposed to provide readers with a starting point for mathematical modeling problems in supply chain production and transport planning.
References
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Book
Knapsack Problems: Algorithms and Computer Implementations
Silvano Martello,Paolo Toth +1 more
TL;DR: This paper focuses on the part of the knapsack problem where the problem of bin packing is concerned and investigates the role of computer codes in the solution of this problem.
Journal ArticleDOI
Games, Motivation, and Learning: A Research and Practice Model:
TL;DR: An input-processoutput model of instructional games and learning is presented that elaborates the key features of games that are of interest from an instructional perspective; the game cycle of user judgments, behavior, and feedback that is a hallmark of engagement in game play; and the types of learning outcomes that can be achieved.
Journal ArticleDOI
A stochastic programming approach for supply chain network design under uncertainty
TL;DR: This paper proposes a stochastic programming model and solution algorithm for solving supply chain network design problems of a realistic scale and integrates a recently proposed sampling strategy, the sample average approximation scheme, with an accelerated Benders decomposition algorithm to quickly compute high quality solutions.