“…The Technique for Order Preference by Similarity to Ideal Solution selects the optimal alternative by determining its Euclidean distance from the positive and negative ideal points. The optimal solution is that with the shortest Euclidian distance from the positive ideal, and the greatest distance from the negative ideal 46,47 . The following steps were carried out to set up the TOPSIS procedure: A normalized objective matrix ( F ij ) was constructed with i rows and j columns by applying Eqn (11).…”
Section: Methodsmentioning
confidence: 99%
“…The optimal solution is that with the shortest Euclidian distance from the positive ideal, and the greatest distance from the negative ideal. 46,47 The following steps were carried out to set up the TOPSIS procedure: 1. A normalized objective matrix (F ij ) was constructed with i rows and j columns by applying Eqn (11).…”
“…The Technique for Order Preference by Similarity to Ideal Solution selects the optimal alternative by determining its Euclidean distance from the positive and negative ideal points. The optimal solution is that with the shortest Euclidian distance from the positive ideal, and the greatest distance from the negative ideal 46,47 . The following steps were carried out to set up the TOPSIS procedure: A normalized objective matrix ( F ij ) was constructed with i rows and j columns by applying Eqn (11).…”
Section: Methodsmentioning
confidence: 99%
“…The optimal solution is that with the shortest Euclidian distance from the positive ideal, and the greatest distance from the negative ideal. 46,47 The following steps were carried out to set up the TOPSIS procedure: 1. A normalized objective matrix (F ij ) was constructed with i rows and j columns by applying Eqn (11).…”
“…Researchers have conducted studies on multi-objective logistics management to address these challenges. Surury et al (2021) focused on modern logistics transportation and identified it as a cost-effective and energy-efficient aspect of the logistics industry. They introduced multi-objective optimization solutions to optimize warehouse operations, goods allocation, and vehicle transportation, resulting in the development of an advanced logistics management system.…”
A dynamic mutation probability formula is utilized to optimize the model. In order to solve the logistics warehouse path problem, the ant colony optimization algorithm, optimized by a genetic algorithm, is employed to construct a logistics warehouse path optimization model. This model effectively optimizes the logistics warehouse paths. Test results comparing the convergence and distribution of non-inferior solutions demonstrated that the proposed model outperforms others in terms of convergence and non-inferior solution distribution. In practical logistics warehouse optimization, applying the proposed model to optimize cargo locations can significantly enhance the effectiveness of the objective function. The optimization resulted in improvements for all four objective functions related to cargo location, with reduction rates of 10.38%, 30.88%, 51.78%, and 88.49%, respectively. For the optimization of logistics warehouse paths, the original distance was 47.6m, which was reduced to 27.8m after optimization. Consequently, the picking distance decreased by 41.60%.
“…Industri transportasi adalah salah satu konsumen bensin dan pencemar terbesar di dunia. Organisasi Kelautan Internasional memperkirakan bahwa emisi gas rumah kaca (GRK) dari transportasi akan meningkat secara substansial pada tahun 2050, sebagai akibat dari perluasan perdagangan maritim global (Surury, Syauqi, & Purwanto, 2021). Khairulbahri (2021)memadukan parameter produksi dan iklim untuk mengevaluasi pengaruh perubahan iklim terhadap ketersediaan beras.…”
Section: P R O S I D I N G S E M I N a R N A S I O N A L #J I L I D 1...unclassified
Artikel ini bertujuan untuk mendeskripsikan secara sistematis tentang perkembangan atau tren pembangunan ekonomi hijau (green economy) di Indonesia dalam satu dasawarsa terakhir. Dinamika pembangunan ekonomi hijau dan pembangunan berkelanjutan senantiasa menjadi isu penting dalam setiap program pemerintah. Namun demikian implementasinya masih multi tafsir dengan berbagai sentimen positif atau negatif yang lebih kental dengan ekonomi politik. Makalah ini berupaya untuk melakukan pemetaan terhadap implementasi konsep pembangunan ekonomi hijau di berbagai bidang sub sektor ekonomi dan berbagai wilayah di Indonesia. Serta berupaya mengidentifikasi berbagai isu negatif yang menjadi penghalang implementasinya. Makalah ini disusun dengan pendekatan kualitatif menggunakan sistematic review yang bersumber pada data sekunder seperti buku referensi, artikel jurnal nasional dan internasional, artikel pada berita online, laporan instansi pemerintah, dan berbagai sumber data sekunder lainnya yang relevan. Makalah ini diharapkan mampu menghadirkan sebuah rekomendasi ilmiah sebagai dasar studi lanjutan dalam konsep pembangunan ekonomi hijau.
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