While online learning practices have been increasing over the past few decades due to its time and location flexibility, there has been some criticism of its lack of student engagement and involvement in comparison to the face-to-face or traditional classroom learning practices (Atchley, Wingenbach, & Akers, 2013). One particular approach that is widely used for active learning in a face-to-face classroom environment is simulation games. These games help to demonstrate a system or an industrial process in a controlled environment. Recent research showed that, while there are quite a few face-to-face simulation games in the area of lean six sigma, online counterparts are missing in most part. The research in this thesis aims to fill this gap by providing a multi-criteria decision making design and development methodology to create online counterparts of simulation games. The end-user (student) preferences are captured using Analytical Hierarchy Process (AHP), which is further analyzed using a Quality Function Deployment (QFD) methodology to understand the technical features that are relevant to a good simulation game. Using these results an online prototype for an existing lean six sigma simulation game (namely, the Lampshade Game for Lean Manufacturing) has been developed and evaluated again using a multi-criteria decision making framework. In general, the validation results from the newly developed online prototype for the Lampshade Game show that the proposed multi-criteria design methodology can be useful for developing online simulation games.