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Unpacking Lean Six Sigma Practice: A Systematic Literature Review of Performance Outcomes and Implementation Challenges (2020–2025) Tolu Tamalika; Azhari; Deri Maryadi
Industrial & System Engineering Journals (ISEJOU) Vol. 4 No. 1 (2025): ISEJOU, Vol 4, No 1 Desember 2025
Publisher : Universitas Katolik Darma Cendika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37477/isejou.v4i1.860

Abstract

Penelitian ini menyajikan Systematic Literature Review terhadap implementasi Lean Six Sigma (LSS) pada periode 2020–2025 dengan fokus pada performance outcomes, tantangan implementasi, serta tren dan novelty yang berkembang. Hasil kajian menunjukkan bahwa LSS secara konsisten memberikan peningkatan pada kualitas, produktivitas, pengurangan defect, efisiensi biaya, serta penurunan lead time di berbagai sektor. Novelty utama terletak pada munculnya Digital Lean Six Sigma (DLSS), integrasi LSS dengan keberlanjutan, dan berkembangnya kerangka kerja hybrid yang memadukan metodologi lain. Meskipun demikian, beberapa kelemahan teridentifikasi, termasuk keterbatasan data, resistensi sumber daya manusia, misalignment alat Lean–Six Sigma, serta kurangnya penelitian longitudinal yang menilai ketahanan dampak jangka panjang. Temuan ini menegaskan pentingnya kesiapan organisasi, dukungan teknologi, dan penguatan budaya perbaikan dalam menjamin keberhasilan LSS. Penelitian di masa depan perlu memperluas studi empiris pada sektor layanan publik, mengeksplorasi integrasi LSS dengan teknologi digital tingkat lanjut, serta mengembangkan model evaluasi jangka panjang untuk menilai keberlanjutan hasil perbaikan.
A Conceptual Framework Integrating Lean Production, Value Stream Mapping, and Industry 4.0 for Logistics Performance Improvement in the Automotive Industry Muhammad Wahid Malik Aljabar; Tolu Tamalika
JURNAL TEKNIK DAN SISTEM INDUSTRI Vol 4 No 01 (2026): Edisi Januari-Juni
Publisher : PROGRAM STUDI TEKNIK INDUSTRI UNIVERSITAS TRIDINANTI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52333/jietri.v4i01.1982

Abstract

This study develops a conceptual framework integrating Lean Production, Value Stream Mapping (VSM), Industry 4.0 capability, and information quality to enhance production logistics integration and logistics performance in the automotive industry. The motivation of this study arises from the fragmented nature of existing literature, where Lean Production, digital transformation, and logistics optimization are often discussed separately without a unified conceptual structure. The automotive industry, characterized by high complexity and dynamic supply chain interactions, requires a more integrated approach to improve efficiency and responsiveness across production and logistics systems.The study employs a conceptual paper approach based on literature synthesis to identify key relationships among Lean Production, Value Stream Mapping, Industry 4.0 capability, information quality, production logistics integration, and logistics performance. Lean Production focuses on waste reduction and process efficiency, while Value Stream Mapping supports the visualization of material and information flows to identify inefficiencies. Industry 4.0 capability enhances real-time data integration and system connectivity, improving information quality and decision-making processes. These elements collectively contribute to strengthening production logistics integration as a central mechanism for improving logistics performance. The proposed conceptual framework suggests that Lean Production, Value Stream Mapping, Industry 4.0 capability, and information quality positively influence production logistics integration, which in turn enhances logistics performance. The integration of lean and digital capabilities provides a more comprehensive approach to managing material flow, information flow, and operational coordination in automotive manufacturing systems. This study contributes to the literature by providing a unified conceptual model that bridges lean manufacturing and Industry 4.0 in the context of logistics systems, offering a foundation for future empirical validation and industrial application.