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Williem
Department of Informatics, President University, West Java
Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering Transportation

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Small-Sample Capability Estimation for Recruitment Speed: A DMAIC Case Study on an Indonesian Outsourcing Platform Filscha Nurprihatin; Enrico Halim; Williem; Glisina Dwinoor Rembulan; Ali Vaezi
Journal of Industrial and Engineering System Vol. 7 No. 1 (2026): Juni 2026
Publisher : Program Studi Teknik Industri, Fakultas Teknik, Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/gz07eh17

Abstract

Workforce sourcing, the process by which outsourcing and gig-economy intermediaries recruit job applicants for client firms, lacks standardized capability metrics that are comparable to those used in manufacturing quality control. This technical case study reports the design, implementation, and critical evaluation of a Define-Measure-Analyze-Improve-Control (DMAIC) procedure used to establish provisional sourcing-speed benchmarks (pessimistic, average, optimistic) for an Indonesian human-resource outsourcing platform, stratified by province and job category. Because most province–job-type strata contained fewer than ten observations (range 1–19), a Chebyshev-inequality-based trimming rule was adopted instead of parametric three-sigma control limits, automated through Excel VBA for scalability. Results show that benchmark reliability is highly stratum-dependent: only the highest-volume stratum (n = 19) yielded values interpretable with reasonable confidence, while low-volume strata produced control bands too wide for operational use. This paper discusses why a fixed 2-standard-deviation trim is a weaker foundation than sample-size-adjusted alternatives recently proposed in the outlier-detection literature, and outlines the validation and data-aggregation work still required before such benchmarks can be deployed as genuine capability limits.
Co-Authors Ali Vaezi Enrico Halim Filscha Nurprihatin Glisina Dwinoor Rembulan