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A Study of Costs for Reducing CO2 Emissions from the Forest Products Industry: A Review of Study Background and Methodology, 1999 Environmental Conference Proceedings
Study of Costs for Reducing CO2 Emissions from the Forest Products Industry: A Review of Study Background and Methodology, 1999 Environmental Conference Proceedings
Development of a Second Generation Biofiltration System, 1999 Environmental Conference Proceedings
Development of a "Second Generation" Biofiltration System, 1999 Environmental Conference Proceedings
Redesign of an Aerated Lagoon to a Long-Term Aerated Activated Sludge System with Anoxic Selector and Very Low Phosphorus Discharge, 1999 Environmental Conference Proceedings
Redesign of an Aerated Lagoon to a Long-Term Aerated Activated Sludge System with Anoxic Selector and Very Low Phosphorus Discharge, 1999 Environmental Conference Proceedings
Closing the Loop - Reducing the Reliance on Fresh Water and Minimizing Drain Losses; Some New Developments, 1999 Environmental Conference Proceedings
Closing the Loop - Reducing the Reliance on Fresh Water and Minimizing Drain Losses; Some New Developments, 1999 Environmental Conference Proceedings
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Application of fuzzy TOPSIS in the Analyze phase of the DMAIC cycle to aid decision-making, TAPPI Journal April 2020
ABSTRACT: This paper reports the use of multicriteria analysis in the Analyze phase of the DMAIC (Define-Measure-Analyze-Improve-Control) cycle for continuous improvement. The research was carried out in a tissue paper factory located in southern Brazil. A sample of 64 parts of 16 different reels of recycled paper was used. A problem regarding paper quality variability was detected, presenting a scrap index ranging between 9% and 23%, compromising machine productivity and product sales. This motivated the implementation of a structured project supported by the application of the DMAIC cycle. The project team (machine operators, maintenance staff, supervisor, and data analyst) defined the evaluation criteria and determined the control intervals and their equivalence with linguistic variables to support the necessary evaluations for the application of fuzzy TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution). The criteria were C1-Longitudinal Strength (Kgf), C2-Longitudinal Elongation (mm), C3-Cross-strength (kgf), C4-Cross-elongation (mm), C5-Weight (g/m²), and C6-Humidity (%). The results showed that samples with the same ranking had the lowest scrap indexes in the subsequent process. Also, the criterion C5 had a more significant impact on the quality of the product than the other criteria, which was determined from the DMAIC sequence. Improvements related to C5 should be prioritized. The fuzzy TOPSIS method presented is a flexible tool, adapting itself to the solution of the problem and contributing to the decision-making process.