Predicting the selection of industrial waste disposal service in cement kiln using a random parameters approach with heterogeneity in means and variances

Abstract

Industrial waste disposal is conducted by coprocessing in the cement kiln. This process can save resources and dispose of industrial waste in a way that is beneficial to the environment by using renewable energy and being a viable alternative to the cement industry in several countries. Nowadays, there is competition among industrial waste processors due to their increasing numbers. Therefore, this study aimed to investigate the significant factors related to forecasting the selection of industrial waste disposal services in cement kilns by developing random parameters with heterogeneity in means and variances. To our knowledge, there are no studies analyzing the selection of industrial waste disposal in coprocessing. Thus, this analysis is a novel approach, able to reduce the least bias and incorrect inference that may lead to operation on effective dealing measures to explain individual relationships based on the differences of several customers. The questionnaires were completed by the customers. According to our findings, a statistically significant factor that customers considered was the image of industrial waste disposal processors by coprocessing in cement kiln, and factors of distances from the waste processors had a significant role in customer decision, whereas the logistics job position may choose the service due to the E-license convenience. The limitation of the study is findings in Thailand. Coprocessing in other countries can use the research results and incorporate them into their strategic business plan in the future to ensure the sustainability of their service by coprocessing cement kilns.