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- W4386885771 abstract "This study discusses the development of an Economic Order Quantity (EOQ) model for perishable products by considering carbon emissions produced by refrigerated trucks and cold storage. The carbon emissions of refrigerated trucks depend on the fuel needed during product delivery activities from the distribution area to the retailer, while the carbon emissions of cold storage depend on the retailer's cold storage energy consumption during product storage activities. The products sent are multi-product perishable products with varying optimal storage temperatures. This model aims to minimize the costs involved in shipping and storing perishable products, including ordering costs, storage, penalties, operations, and carbon taxes. A penalty fee is imposed if the product is allocated in a place that is not in accordance with the optimal storage temperature. This study assumes that lead time is negligible and costs related to carbon emissions are imposed on the retailer. This study is expected to assist retailers in making decisions to determine the number of economic orders, optimal temperature, and allocation of perishable products on refrigerated trucks and cold storage by minimizing the costs involved in shipping and storing products. The optimization results show that this model produces a high utility (98%), the higher the utility the greater the benefits and profits obtained by the retailer with a total cost of $619.82 and carbon emission worth 0.1271 ton." @default.
- W4386885771 created "2023-09-21" @default.
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- W4386885771 date "2023-01-01" @default.
- W4386885771 modified "2023-09-27" @default.
- W4386885771 title "An EOQ Model for Perishable Product Considering Carbon Emissions Resulting from Refrigerated Truck and Cold Storage" @default.
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- W4386885771 doi "https://doi.org/10.1007/978-981-99-1245-2_23" @default.
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