Optimization of supply and demand of bread sales as an over production solution in Hani Cake and Bakery
<p align="justify">Monte Carlo simulations are used to model the probability of different outcomes in a process that cannot easily be predicted due to the intervention of random variables. In this case, Monte Carlo develops several policies used to optimize income costs at Hani Cake...
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| Format: | Article |
| Language: | English |
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Universitas Sultan Ageng Tirtayasa
2021-11-01
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| Series: | Teknika |
| Subjects: | |
| Online Access: | https://jurnal.untirta.ac.id/index.php/ju-tek/article/view/12407 |
| _version_ | 1797363222397845504 |
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| author | Riska Dwi Oktalia Hanif Awandani Magister Alfatah Kalijaga |
| author_facet | Riska Dwi Oktalia Hanif Awandani Magister Alfatah Kalijaga |
| author_sort | Riska Dwi Oktalia |
| collection | DOAJ |
| description | <p align="justify">Monte Carlo simulations are used to model the probability of different outcomes in a process that cannot easily be predicted due to the intervention of random variables. In this case, Monte Carlo develops several policies used to optimize income costs at Hani Cake and Bakery. Hani Cake and Bakery have a problem with bread demand. Sometimes, demand is low that will pile up bread stock while causing the remaining bread to expire, and sometimes the demand is high, causing the bread stock not to meet customer demand. These problems will have an impact on income costs. In this simulation, the input data needed are cake supply data, demand data, and sweetbread return data in Hani Cake and Bakery, which will later determine the expired rate. The simulation obtained 30 replications with an expiration rate of 119 bread with an inventory cost of Rp. 413.000. The next policy will be determined by making a new policy in scenarios 1 and 2 by reducing the supply level by 20% and 35%. These results obtained a policy that can be applied to Hani Cake and Bakery with a benchmark of income costs.</p><p class="Els-Abstract-text"> </p><p align="justify">Simulasi Monte Carlo digunakan untuk memodelkan unsur probabilitas dari data yang berbeda dalam proses yang tidak dapat diprediksi hasilnya karena menggunakan variabel dan data acak. Dalam kasus ini, Monte Carlo digunakan untuk mengembangkan beberapa kebijakan yang digunakan untuk mengoptimalkan biaya pendapatan pada Hani Cake and Bakery. Hani Cake and Bakery memiliki rmasalah dengan permintaan roti. Dimana terkadang permintaan rendah dan membuat stok roti menumpuk sehingga menyebabkan roti kedaluwarsa dan terkadang permintaan tinggi sehingga menyebabkan stok roti tidak dapat memenuhi permintaan pelanggan. Masalah-masalah tersebut akan berdampak pada biaya pendapatan. Dalam simulasi ini, data input yang dibutuhkan adalah data persediaan kue, data permintaan, dan data retur roti manis di Hani Cake and Bakery yang nantinya akan digunakan untuk menentukan tingkat kadaluwarsa. Dari hasil simulasi yang telah dilakukan diperoleh 30 replikasi dengan tingkat kadaluwarsa 119 roti menghasilkan biaya persediaan Rp.413.000. Penetapan kebijakan selanjutnya akan ditentukan dengan membuat kebijakan baru pada skenario 1 dan 2 dengan menurunkan tingkat rantai pasok sebesar 20% dan 35%. Dari hasil tersebut akan diperoleh kebijakan yang dapat diterapkan pada Hani Cake and Bakery dengan tolak ukur biaya pendapatan.</p> |
| first_indexed | 2024-03-08T16:18:07Z |
| format | Article |
| id | doaj.art-3f8d7f4b060c4ac890459954595eda7a |
| institution | Directory Open Access Journal |
| issn | 1693-024X 2654-4113 |
| language | English |
| last_indexed | 2024-03-08T16:18:07Z |
| publishDate | 2021-11-01 |
| publisher | Universitas Sultan Ageng Tirtayasa |
| record_format | Article |
| series | Teknika |
| spelling | doaj.art-3f8d7f4b060c4ac890459954595eda7a2024-01-07T12:27:39ZengUniversitas Sultan Ageng TirtayasaTeknika1693-024X2654-41132021-11-0117225526110.36055/tjst.v17i2.124077898Optimization of supply and demand of bread sales as an over production solution in Hani Cake and BakeryRiska Dwi Oktalia0Hanif Awandani1Magister Alfatah Kalijaga2Department of Industrial Engineering, Islamic University of IndonesiaDepartment of Industrial Engineering, Islamic University of IndonesiaDepartment of Industrial Engineering, Islamic University of Indonesia<p align="justify">Monte Carlo simulations are used to model the probability of different outcomes in a process that cannot easily be predicted due to the intervention of random variables. In this case, Monte Carlo develops several policies used to optimize income costs at Hani Cake and Bakery. Hani Cake and Bakery have a problem with bread demand. Sometimes, demand is low that will pile up bread stock while causing the remaining bread to expire, and sometimes the demand is high, causing the bread stock not to meet customer demand. These problems will have an impact on income costs. In this simulation, the input data needed are cake supply data, demand data, and sweetbread return data in Hani Cake and Bakery, which will later determine the expired rate. The simulation obtained 30 replications with an expiration rate of 119 bread with an inventory cost of Rp. 413.000. The next policy will be determined by making a new policy in scenarios 1 and 2 by reducing the supply level by 20% and 35%. These results obtained a policy that can be applied to Hani Cake and Bakery with a benchmark of income costs.</p><p class="Els-Abstract-text"> </p><p align="justify">Simulasi Monte Carlo digunakan untuk memodelkan unsur probabilitas dari data yang berbeda dalam proses yang tidak dapat diprediksi hasilnya karena menggunakan variabel dan data acak. Dalam kasus ini, Monte Carlo digunakan untuk mengembangkan beberapa kebijakan yang digunakan untuk mengoptimalkan biaya pendapatan pada Hani Cake and Bakery. Hani Cake and Bakery memiliki rmasalah dengan permintaan roti. Dimana terkadang permintaan rendah dan membuat stok roti menumpuk sehingga menyebabkan roti kedaluwarsa dan terkadang permintaan tinggi sehingga menyebabkan stok roti tidak dapat memenuhi permintaan pelanggan. Masalah-masalah tersebut akan berdampak pada biaya pendapatan. Dalam simulasi ini, data input yang dibutuhkan adalah data persediaan kue, data permintaan, dan data retur roti manis di Hani Cake and Bakery yang nantinya akan digunakan untuk menentukan tingkat kadaluwarsa. Dari hasil simulasi yang telah dilakukan diperoleh 30 replikasi dengan tingkat kadaluwarsa 119 roti menghasilkan biaya persediaan Rp.413.000. Penetapan kebijakan selanjutnya akan ditentukan dengan membuat kebijakan baru pada skenario 1 dan 2 dengan menurunkan tingkat rantai pasok sebesar 20% dan 35%. Dari hasil tersebut akan diperoleh kebijakan yang dapat diterapkan pada Hani Cake and Bakery dengan tolak ukur biaya pendapatan.</p>https://jurnal.untirta.ac.id/index.php/ju-tek/article/view/12407simulation, monte carlo, supply, optimization. |
| spellingShingle | Riska Dwi Oktalia Hanif Awandani Magister Alfatah Kalijaga Optimization of supply and demand of bread sales as an over production solution in Hani Cake and Bakery Teknika simulation, monte carlo, supply, optimization. |
| title | Optimization of supply and demand of bread sales as an over production solution in Hani Cake and Bakery |
| title_full | Optimization of supply and demand of bread sales as an over production solution in Hani Cake and Bakery |
| title_fullStr | Optimization of supply and demand of bread sales as an over production solution in Hani Cake and Bakery |
| title_full_unstemmed | Optimization of supply and demand of bread sales as an over production solution in Hani Cake and Bakery |
| title_short | Optimization of supply and demand of bread sales as an over production solution in Hani Cake and Bakery |
| title_sort | optimization of supply and demand of bread sales as an over production solution in hani cake and bakery |
| topic | simulation, monte carlo, supply, optimization. |
| url | https://jurnal.untirta.ac.id/index.php/ju-tek/article/view/12407 |
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