Data mining is the process of discovering correlations, patterns, trends or relationships by probing through a substantial amount of data stored in repositories, corporate databases, and data warehouses. Industrial engineering is a broad field and has many implements and techniques in its quandary-solving arsenal. The purport of this study is to ameliorate the efficacy of industrial engineering solutions through the application of data mining. To achieve this objective, an adaptation of the engineering design process is utilized to develop a methodology for efficacious application of data mining to databases and data repositories concretely designed for industrial engineering operations. This paper concludes by describing some of the advantages and disadvantages of the application of data mining techniques and implements to industrial engineering; it mentions some possible quandaries or issues in its implementation; and conclusively, it provides recommendations for future research in the application of data mining to facilitate decisions pertinent to industrial engineering.