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Article type: Research Article
Authors: Godoy, Leoni Pentiadoa; * | Dos Santos, Antônio Vanderleib | Cardoso da Silva, Deoclécio J.a | Bohrz, Sergio Renatob | Da Silva Wegner, Rogera | Casarin, Vanusa Andreab
Affiliations: [a] Federal University of Santa Maria, Rio Grande do Sul, Brazil | [b] Universidade Regional Integrada do Alto Uruguai e das Missões Campus Santo Ângelo, Brazil
Correspondence: [*] Corresponding author. L.P. Godoy, Technology Center, Department of Production Engineering and Systems, Brazil. E-mail: [email protected].
Abstract: Currently, the concern with renewable resources has led the society to create several initiatives to approach the subject, proposing viable solutions. One of the biggest challenges is the conservation of the environment due to its unbridled degradation. Thus, companies must act in an ecologically responsible way so as not to threaten future survival, thus contributing to sustainable development. The present study applied the FAHP method to optimize the processes aiming to eliminate production bottlenecks in the manufacture of concrete blocks with the use of foundry sand from a metalworking industry located in the South of Brazil. Results demonstrated that the prioritized alternatives were transportation outsourcing (24.24%), while the analysis of toxicity and resistance within the norms obtained the same prioritization (22.38%), these alternatives contributed to suppress the bottleneck of production process. The industry hired a third party company with reference in the market, so there was no involvement with labor laws, in addition, the analysis of toxicity contributed with reduction costs and wasted time; consequently, reducing in 100% the chance of Contamination, due to the adoption of correct practices. Resistance within the norms helped in the reduction of the rework (98%) due to breaks and chipping. The improvements found through the FAHP method were achieved through the degree of importance of alternatives, in order to maximize the profit of the industry.
Keywords: Concrete blocks, productive process, decision making
DOI: 10.3233/JIFS-17729
Journal: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 3, pp. 3477-3491, 2018
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