Quality and sustainability in the production process: A study of bakeries using an integrated multi-criteria method based on fuzzy AHP and fuzzy TOPSIS |
| |
Authors: | Natália Pedroso Serpa Deoclécio Junior Cardoso da Silva Roger da Silva Wegner Estefana da Silva Stertz Clarissa Stefani Teixeira Luis Felipe Dias Lopes |
| |
Affiliation: | 1. Universidade Federal de Santa Maria, Santa Maria, Rio Grande do Sul, Brazil;2. Universidade Federal de Santa Catarina, Florianópolis, Santa Catarina, Brazil |
| |
Abstract: | The objective of the present study is to evaluate, determine, and apply alternatives for improving the quality of the process and the product, with an emphasis on sustainable practices, using an integrated multi-criteria method. For this purpose, an analysis was conducted at a chain of bakeries, aiming to highlight bottlenecks in the production process and in the product. With the support of a literature review, four criteria and seven alternatives were defined to overcome these bottlenecks and, at the same time, contribute to the sustainability of the organization. For data analysis, six decision makers were interviewed and, following their evaluations, an integrated method based on fuzzy AHP and fuzzy TOPSIS was created. The fuzzy AHP was adopted to establish the importance of the criteria, while the fuzzy TOPSIS was used to evaluate and classify the alternatives developed to bypass the bottlenecks. The results revealed that of the criteria, Criterion “Cr1 – Quality” was prioritized. On the other hand, the alternative with the best performance was “A3 – Physical Layout Reorganization”. Applying this alternative, the study demonstrates the results achieved such as reduction of errors and accident risks, as well as greater fluidity in the productive space. the present study also makes theoretical and managerial contributions to the field, bringing the theory closer to the reality of companies that operate in the food sector. |
| |
Keywords: | multicriteria methods organizational sustainability quality in the production process |
|
|