Rahardinto, Bintang Bagas (2020) Pengembangan Model Multi-Drop Refrigerated-Container Loading Problem Untuk Produk Hortikultura Dengan Mempertimbangkan Internal Temperature Distribution. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Produk hortikultura seperti buah-buahan dan sayuran merupakan produk yang bersifat perishable sehingga penyimpanan dengan memerhatikan suhu optimal produk sangat dibutuhkan terutama pada proses distribusi. Hal tersebut dilakukan agar kualitas produk tetap terjaga hingga ke konsumen. Sebuah model regrigerated-container loading problem dikembangkan untuk menjawab tantangan tersebut. Model ini tentang bagaimana menyusun kargo produk buah-buahan dan sayuran pada kontainer berpendingin pada kasus multi-drop sehingga total biaya, terdiri dari penalty cost, quality loss cost, refrigeration cost, shipping cost, unnecessary moving cost dan vehicle cost, dapat diminimumkan. Model tersebut menggunakan pendekatan heuristik dengan menggunakan wall-building dengan mempertimbangkan beberapa pembatas, yaitu weight limit, stacking, multi-drop, internal temperature distribution dan stability. Computational fluid dynamics (CFD) digunakan untuk memvisualisasikan distribusi suhu pada kontainer berpendingin. Validitas model diperiksa dengan cara membandingkan hasil di VBA Microsoft Excel dengan penghitungan secara manual dan logika model. Hasil eksperimen numerik menunjukkan bahwa total biaya minimum akan tercapai jika penyusunan kargo menggunakan suhu penyimpanan rendah dengan kecepatan udara yang tinggi, menggunakan tipe kargo yang homogen, dan total waktu pengiriman kurang dari 10.84 jam. Hasil eksperimen juga menunjukkan bahwa jumlah lokasi pengiriman dan jumlah jenis buah menjadi dasar penentuan strategi antara dedicated reefer loading dengan multi-reefer loading.
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Horticultural products, such as fruits and vegetables, are perishable products so that storage with regard to the optimal temperature of the product is needed, especially in the distribution process. This is done so that product quality is maintained until it reaches consumers. A model called refrigerated-container loading problem is developed to answer this challenge. This model is about how to load cargo of fruit and vegetable products in refrigerated containers in a multi-drop case so that the total cost, consisting of penalty costs, quality loss costs, refrigeration costs, shipping costs, unnecessary moving costs and vehicle costs, can be minimized. The model uses a heuristic approach with a wall-building by considering several constraints, i.e. weight limit, stacking, multi-drop, internal temperature distribution and stability. Computational fluid dynamics (CFD) is used to visualize the temperature distribution inside refrigerated containers. Model validity is examined by comparing results in Microsoft Excel VBA with manual calculations and model’s logic. The numerical experiments result of this research show that the minimum total cost will be achieved if the cargo loading plan uses low storage temperatures with high air velocity, uses a homogeneous cargo type, and the total delivery time is less than 10.84 hours. The experimental result also shows that the number of delivery locations and the number of fruit types are the basis for determining a strategy between specific reefer loading or multi reefer loading.
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | container loading, computational fluid dynamics, heuristics, multi- drop, perishable product, refrigerated container, heuristik, produk perishable, kontainer berpendingin |
| Subjects: | H Social Sciences > HD Industries. Land use. Labor > HD38.5 Business logistics--Cost effectiveness. Supply chain management. ERP H Social Sciences > HF Commerce > HF5415.7 Physical distribution management |
| Divisions: | Faculty of Industrial Technology > Industrial Engineering > 26201-(S1) Undergraduate Thesis |
| Depositing User: | Bintang Bagas Rahardinto |
| Date Deposited: | 24 Aug 2020 03:38 |
| Last Modified: | 06 Jul 2023 13:18 |
| URI: | http://repository.its.ac.id/id/eprint/79142 |
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