A model based on TPM, SMED, and Industry 4.0 to increase machinery availability in a fish flour processing company (#1663)

Authors

Aranda, Diana

A. Pareja, Rodrigo

Villafuerte, Adrian

Abstract

Currently, availability is one of the most relevant indicators in the fishing sector. This is because it allows for increased productivity and efficiency, which are affected by unplanned downtime. Additionally, there is a significant amount of research proposing the use of TPM as a solution tool. Furthermore, successful cases recommend the use of SMED for high setup times issues. Technological advancements have also made their way into the food industries, as seen in the case of Industry 4.0. Based on this, the purpose of this article is to improve production and minimize operational costs due to urgent repairs and production losses. The case study is carried out in a fishing company where low machinery availability is one of the main problems. Therefore, the proposed solution model suggests implementing the following TPM pillars along with SMED: autonomous maintenance and planned maintenance. Additionally, the use of Industry 4.0 devices is proposed. Likewise, there is a goal to increase availability by 10% in critical machines in the drying and pressing processes. Furthermore, a 27% reduction in setup time is targeted. In this way, it is believed that the study will contribute to the literature on the implementation of TPM, SMED, and Industry 4.0 tools to increase machinery availability in a fish processing company in Peru.