Maximum profit calculation based on the quantity of demand vegatables with the single order quantity method

Gayatri, Annura Minar and Nurhasanah, Nunung and Parwati, Niken and Pratama, Ahmad Juang (2016) Maximum profit calculation based on the quantity of demand vegatables with the single order quantity method. Proceeding of The 9th International Seminar on Industrial Engineering and Management (9th ISIEM), 9. pp. 94-102. ISSN 1978-774X

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Official URL: https://isiem.net/9th-isiem-padang-indonesia/

Abstract

Inventory is one of the most important financial aspects in an enterprise, because it directly impacts revenue. This research discusses uncertainty and perishable demand of vegetable products in AAA Company. AAA supplied organic and hydroponic vegetables to consumers such as supermarkets and restaurants. This research uses the Single Order Quantity method. The items produced that are ordered at a particular time can only beconsumed by the demand during that period. The objective is to calculate the maximum benefit obtained by the company based on the quantity reserved. Vegetables with the highest demand are red cherry tomatoes, TW tomatoes, Recento tomatoes, green spinach and edamame. Profit obtained from red cherry tomatoes was IDR 2,925,000 from 6,150 packs, for green spinach IDR 346,875 from 26,850 packs, for edamame, IDR 262,618 from 650 packs, for TW tomatoes IDR 3,333,333 from 3,650 packs for Recento tomatoes was IDR 1,462,500 from 3,000 packs.

Item Type: Article
Additional Information: Presented in "The 9th International Seminar on Industrial Engineering and Management" held on 20-22 September 2016 in Grand Inna Muara Hotel Convention & Exhibition Padang - Indonesia.
Uncontrolled Keywords: quantity reservation, uncertain demand, perishable goods, single order quantity
Subjects: 600 Applied sciences & technology > 650 Management & public relations > 658 General Management
Divisions: Universitas Al-Azhar Indonesia (UAI) > Fakultas Sains dan Teknologi (FST) > Teknik Industri
Depositing User: Rifda Jilan
Date Deposited: 08 Apr 2023 03:03
Last Modified: 17 May 2023 08:48
URI: http://eprints.uai.ac.id/id/eprint/2181

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