Pengembangan Strategi Lean, Smart, Dan Resilience Pada Proses Inbound Logistics Perusahaan Manufaktur Skala Besar Di Indonesia

Maharani, Zarlita (2026) Pengembangan Strategi Lean, Smart, Dan Resilience Pada Proses Inbound Logistics Perusahaan Manufaktur Skala Besar Di Indonesia. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Sistem inbound logistics pada industri manufaktur menghadapi tantangan berupa meningkatnya kompleksitas rantai pasok, ketidakpastian pasokan, serta tuntutan terhadap keandalan dan kecepatan aliran material untuk mendukung kelancaran proses produksi. Kondisi tersebut mendorong perlunya pengembangan sistem yang mengintegrasikan aspek lean, smart, dan resilience. Penelitian ini bertujuan menentukan prioritas strategi pengembangan, mengidentifikasi kondisi eksisting penerapan indikator lean, smart, dan resilience, serta mengembangkan rekomendasi strategi pada sistem inbound logistics lini produksi engine X di PT. ABC. Penelitian diawali dengan identifikasi indikator melalui Systematic Literature Review (SLR) dan validasi menggunakan expert judgement. Pengumpulan data dilakukan melalui kuesioner tingkat implementasi dan kuesioner hubungan antarindikator yang melibatkan tujuh responden ahli. Analisis data menggunakan metode Interpretive Structural Modeling–Matrix of Cross Impact Multiplications Applied to Classification (ISM–MICMAC). Hasil penelitian mengidentifikasi 23 indikator yang terdiri atas 9 indikator lean, 7 indikator smart, dan 7 indikator resilience. Analisis ISM menghasilkan struktur hierarki lima level dengan indikator 5S sebagai driver utama sistem. Hasil MICMAC menunjukkan 1 indikator berada pada klaster Independent, 15 indikator pada klaster Linkage, dan 7 indikator pada klaster Dependent. Hasil pengukuran tingkat implementasi menunjukkan sebagian besar indikator lean dan resilience telah diimplementasikan secara konsisten, sedangkan beberapa indikator smart masih diimplementasikan sebagian. Berdasarkan integrasi hasil analisis, indikator Penyimpanan Data Terpusat, Interaksi Antar Mesin, dan Internet Integrasi Data ditetapkan sebagai prioritas pengembangan melalui penguatan digitalisasi sistem inbound logistics.
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Manufacturing inbound logistics systems face challenges arising from increasing supply chain complexity, supply uncertainty, and growing demands for reliable and timely material flows to support uninterrupted production operations. These challenges highlight the need for a system development approach that integrates lean, smart, and resilience aspects. This study aims to determine development strategy priorities, identify the current implementation status of lean, smart, and resilience indicators, and develop strategic recommendations for the inbound logistics system of the Engine X production line at PT. ABC. The study began with the identification of indicators through a Systematic Literature Review (SLR), followed by validation using expert judgment. Data were collected through implementation assessment questionnaires and interrelationship questionnaires involving seven expert respondents. Data analysis was conducted using the Interpretive Structural Modeling–Matrix of Cross-Impact Multiplications Applied to Classification (ISM–MICMAC) method. The results identified 23 indicators, consisting of 9 lean indicators, 7 smart indicators, and 7 resilience indicators. The ISM analysis generated a five-level hierarchical structure, with 5S identified as the primary driver of the system. The MICMAC analysis classified one indicator into the Independent cluster, 15 indicators into the Linkage cluster, and 7 indicators into the Dependent cluster. The implementation assessment revealed that most lean and resilience indicators had been consistently implemented, whereas several smart indicators were only partially implemented. Based on the integration of the analysis results, Centralized Data Storage, Machine-to-Machine Interaction, and Internet-Based Data Integration were identified as priority areas for development through the enhancement of inbound logistics digitalization.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Inbound logistics, Lean Logistics, Smart Logistics, Supply Chain Resilience, ISM-MICMAC.
Subjects:	T Technology > TS Manufactures > TS183 Manufacturing processes. Lean manufacturing.
Divisions:	Faculty of Industrial Technology > Industrial Engineering > 26201-(S1) Undergraduate Thesis
Depositing User:	Zarlita Maharani
Date Deposited:	31 Jul 2026 03:19
Last Modified:	31 Jul 2026 03:19
URI:	http://repository.its.ac.id/id/eprint/140437

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