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p-Index From 2021 - 2026
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All Journal Journal of Industrial and Engineering System
Glisina Dwinoor Rembulan
Department of Management, Universitas Bunda Mulia, Jakarta
Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering Transportation

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Improving the Layout of Production Facilities Using the Systematic Layout Planning and BLOCPLAN Algorithm Filscha Nurprihatin; Jordy; Glisina Dwinoor Rembulan; Ivana Tita Bella Widiwati; 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/mk4xpt91

Abstract

The research focuses on resolving production floor problems which affect an electronics manufacturing facility that produces stabilizers and starters and casings by using a job-shop production system. The lack of structured layout design has caused materials to travel through long routes which also require multiple returns across all three product manufacturing lines. The facility layout received its redesign through Systematic Layout Planning (SLP) and the BLOCPLAN algorithm. The research team used From-to Chart (FTC) and Activity Relationship Chart (ARC) and Activity Relationship Diagram (ARD) and Space Relationship Diagram (SRD) tools to develop three different layouts which they assessed by measuring total distance and backtracking distance and backtracking percentage. Proposed Layout 3 achieved better results than the original layout by reducing material movement distance by 36.35 meters and backtracking distance by 25.08 meters and backtracking percentage by 7.73 percent which showed the value of the SLP–BLOCPLAN framework for multi-product manufacturing facilities.
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 Ali Vaezi Enrico Halim Filscha Nurprihatin Ivana Tita Bella Widiwati Jordy Williem