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Using Serious Games for Collecting and Modeling Human Procurement Decisions in a Supply Chain Context
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Author(s): Souleiman Naciri (Laboratory for Production Management and Processes, Ecole Polytechnique Fédérale de Lausanne, Switzerland), Min-Jung Yoo (Laboratory for Production Management and Processes, Ecole Polytechnique Fédérale de Lausanne, Switzerland)and Rémy Glardon (Laboratory for Production Management and Processes, Ecole Polytechnique Fédérale de Lausanne, Switzerland)
Copyright: 2013
Pages: 22
Source title:
Industrial Engineering: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-4666-1945-6.ch042
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Abstract
Computer simulation is often used for studying specific issues in supply chains or for evaluating the impact of eligible design and calibration solutions on the performance of a company and its supply chain. In computer simulations, production facilities and planning processes are modeled in order to correctly characterize the supply chain behavior. However, very little attention has been given so far in these models to human decisions. Because human decisions are very complex and may vary across individuals or with time, they are largely neglected in traditional simulation models. This restricts the models’ reliability and utility. The first thing that must be done in order to include human decisions in simulation models is to capture how people actually make decisions. This chapter presents a serious game called DecisionTack, which was specifically developed to capture the human decision-making process in operations management (the procurement process). It captures both the information the human agent consults and the decisions he or she makes.
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