MANAJEMEN LOGISTIK BERBASIS AI: Konsep, Aplikasi, dan Masa Depan
Kata Kunci:
MANAJEMEN, LOGISTIKSinopsis
Di era Revolusi Industri 4.0, manajemen logistik dituntut untuk beradaptasi dengan perkembangan teknologi yang pesat. Persaingan global, perubahan perilaku konsumen, dan kebutuhan akan efisiensi membuat metode konvensional tidak lagi memadai. Artificial Intelligence (AI) hadir sebagai katalis transformasi, memungkinkan perusahaan mengoptimalkan proses mulai dari perencanaan rute pengiriman, pengelolaan gudang, hingga prediksi permintaan secara real time.
Buku “Manajemen Logistik Berbasis AI” menyajikan panduan komprehensif tentang integrasi AI dalam setiap aspek logistik, disusun dalam sepuluh bab yang membahas konsep dasar logistik dan AI, teknologi pendukung seperti Machine Learning, Computer Vision, dan IoT, studi kasus dari perusahaan global maupun lokal, serta strategi implementasi yang dapat diadaptasi oleh berbagai jenis bisnis. Selain memberikan pemahaman teoritis, buku ini juga menyajikan wawasan praktis yang dapat langsung diterapkan untuk menciptakan rantai pasok yang efisien, adaptif, dan berkelanjutan. Ditulis dengan bahasa yang mudah dipahami, buku ini menjadi referensi berharga bagi mahasiswa, peneliti, praktisi logistik, dan pengambil kebijakan yang ingin memanfaatkan potensi AI untuk menghadapi tantangan logistik di masa depan.
Bab
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KATA PENGANTAR
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DAFTAR ISI
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Bab 01 Transformasi Logistik Di Era Digital
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Bab 02 Konsep Dasar Manajemen Logistik
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Bab 03 Pengenalan Artificial Intelligence
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Bab 04 Integrasi Ai Dalam Sistem Logistik
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Bab 05 Algoritma Dan Teknologi Pendukung
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Bab 06 Studi Kasus Implementasi AI Di Logistik
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Bab 07 Analisis Manfaat Dan Dampak AI Di Logistik
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Bab 08 Tantangan Dan Risiko Implementasi Ai
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Bab 09 Strategi Implementasi AI Di Perusahaan Logistik
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Bab 10 Masa Depan Manajemen Logistik Berbasis AI
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DAFTAR PUSTAKA
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BIODATA PENULIS
Unduhan
Referensi
Accenture. (2022). AI-driven market predictions in logistics. Dublin: Accenture Research.
Accenture. (2022). Driving innovation through technology partnerships in logistics. Dublin: Accenture Research.
Accenture. (2022). Logistics innovation through AI integration. Dublin: Accenture Research.
Accenture. (2023). Collaborative ecosystems for future logistics. Dublin: Accenture Strategy.
Alibaba Group. (2021). Smart logistics and AI in e-commerce ecosystems. Hangzhou: Alibaba Research.
BCG. (2021). The future of logistics in the digital age. Boston: Boston Consulting Group.
Capgemini Research Institute. (2021). Smart warehouses: The role of AI in future logistics. Paris: Capgemini.
Deloitte. (2021). Artificial intelligence in logistics: Competitive advantages through prediction. London: Deloitte Insights.
Deloitte. (2022). Sustainability and AI in global supply chains. London: Deloitte University Press.
DHL. (2021). Smarter connected commerce: The transformation of SMEs in the digital economy. Bonn: DHL Research.
DHL. (2022). Future of e-commerce logistics. Bonn: DHL Trend Radar.
DHL. (2025). E-Commerce Trends Report 2025: AI & social media. Bonn: DHL Research.
DHL Asia Pacific. (2021). AI transformation in logistics and warehousing. Singapore: DHL Asia Pacific Innovation Center.
DHL Indonesia. (2022). Investments in digital economy infrastructure. Jakarta: DHL Indonesia Press Release.
FedEx. (2021). FedEx Asia Pacific Small Business Grant Contest: Empowering startups for global growth. Memphis: FedEx Global Research.
Gartner. (2022). Emerging trends in autonomous logistics. Stamford: Gartner Research.
International Transport Forum. (2021). Transport outlook 2021: Mobility for recovery. Paris: OECD Publishing.
KPMG. (2021). AI adoption in global supply chains. London: KPMG International.
McKinsey & Company. (2020). The state of AI in logistics and supply chain. New York: McKinsey Global Institute.
McKinsey & Company. (2021). AI-enabled demand forecasting in supply chains. New York: McKinsey Global Institute.
OECD. (2021). AI adoption and regulatory frameworks in global supply chains. Paris: OECD Publishing.
PwC. (2022). The economic impact of AI in logistics and supply chains. London: PwC Insights.
Statista. (2023). Global e-commerce market size forecast 2026. Hamburg: Statista Research Department.
United Nations ESCAP. (2021). AI and digital transformation in Asia Pacific logistics. Bangkok: UN Publications.
World Economic Forum. (2020). Resilient supply chains through AI prediction. Geneva: WEF.
World Economic Forum. (2021). The future of supply chains in the age of AI. Geneva: WEF.
World Economic Forum. (2022). AI for sustainability in logistics and transport. Geneva: WEF.
