Defining Action Plans to Reduce Defects in a Paper Production Line Using Statistical Process Control and Fuzzy Analytical Hierarchy Procedure

Authors

  • Anita Susilawati Mechanical Engineering Department, Engineering Faculty, Universitas Riau, Kampus Bina Widya KM. 12.5, Simpang Baru, Panam, Pekanbaru, 28293, INDONESIA
  • Rolandi Mustafa Post Graduate Alumnus in Mechanical Engineering Department, Engineering Faculty, Universitas Riau, Kampus Bina Widya KM. 12.5, Simpang Baru, Panam, Pekanbaru, 28293, INDONESIA
  • Adek Tasri Mechanical Engineering Department, Engineering Faculty, Universitas Andalas, Kampus Limau Manis, Simpang Baru, Pauh, Padang, 25163, INDONESIA

Keywords:

Defects, Statistical Process Control (SPC), fuzzy AHP, quality control

Abstract

Defect prevention in products is essential to improve production efficiency and improve product quality in accordance with consumer expectations. Action plants to prevent defects in a paper factory were tried to be found in this research. The action plan was obtained using Statistical Process Control to control production to comply with specific limits, and Fuzzy Analytical Hierarchy Procedure used to find the priority of the problem. The data collected showed that the primary defects were in the form of wrapping alignment and folding sheets. Analysis showed that wrapper properties and the length of time the wrapper roll on the floor caused the problems. To overcome the causes of the problems, three action plans need to be taken: training, creating SOPs, and creating maintenance checklists.

Downloads

Download data is not yet available.

Downloads

Published

31-12-2025

Issue

Section

Issue on Mechanical, Materials and Manufacturing Engineering

How to Cite

Susilawati, A., Mustafa, R., & Adek Tasri. (2025). Defining Action Plans to Reduce Defects in a Paper Production Line Using Statistical Process Control and Fuzzy Analytical Hierarchy Procedure. International Journal of Integrated Engineering, 17(9), 135-148. https://publisher.uthm.edu.my/ojs/index.php/ijie/article/view/19208