Prioritizing Production Efficiency Factors in the Crumb Rubber Industry Using Fuzzy PROMETHEE: A Case Study at PT Pantja Surya

Nursakila Ena Anjani; Rima Aprilia

doi:10.56427/jcbd.v5i3.1067

Authors

Nursakila Ena Anjani Universitas Islam Negeri Sumatera Utara
Rima Aprilia Universitas Islam Negeri Sumatera Utara

DOI:

https://doi.org/10.56427/jcbd.v5i3.1067

Keywords:

Production efficiency, Decision support system, Fuzzy PROMETHEE, Triangular Fuzzy Number, Production priority

Abstract

Production efficiency directly affects a manufacturing company's productivity and competitiveness, yet prioritizing the factors that drive it is complicated by uncertainty and subjectivity in decision-makers' judgments. Fuzzy PROMETHEE has been applied to supplier selection, education, and renewable-energy decisions, but not to ranking production efficiency factors in the crumb rubber industry. This study addresses that gap by prioritizing nine production efficiency factors at PT Pantja Surya, a crumb rubber processor in Simalungun Regency, Indonesia. Fifty-three production employees rated four evaluation criteria and nine factors using linguistic variables, which were converted into Triangular Fuzzy Numbers and defuzzified by the Center of Area method. Pairwise preferences and Leaving, Entering, and Net Flow values were then computed following the PROMETHEE procedure. Raw material availability (A9, Net Flow = 0.938) ranked highest, followed by energy consumption (A6, 0.344), production downtime (A7, 0.250), and labor performance (A4, 0.125); production time efficiency (A1, -0.750) ranked lowest. The ranking offers management a structured basis for prioritizing raw material supply, energy use, and downtime reduction, although it rests on respondents' subjective judgments and should be treated as a decision aid rather than an objective measurement.

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