ANALISIS PERENCANAAN AGREGAT SEBAGAI STRATEGI PERENCANAAN PRODUKSI MENGGUNAAN METODE HEURISTIK DI LOTUS GLOVE

Sitorus, Ericson and Suseno, Suseno (2024) ANALISIS PERENCANAAN AGREGAT SEBAGAI STRATEGI PERENCANAAN PRODUKSI MENGGUNAAN METODE HEURISTIK DI LOTUS GLOVE. Tugas Akhir thesis, University of Technology Yogyakarta.

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Abstract

Abstrak Lotus Glove mengalami permintaan sarung tangan golf yang berfluktuasi pada Februari 2019 hingga Januari 2024. Selain itu, Lotus Glove belum melakukan perencanaan produksi dengan baik seperti melakukan peramalan terhadap permintaan yang berfluktuasi dan melakukan penyesuaian jumlah tenaga kerja dan jam lembur berdasarkan tingkat produksi. Kondisi tersebut menyebabkan Lotus Glove mengalami ketidakmampuan dalam memenuhi permintaan pelanggan pada beberapa periode seperti bulan Agustus 2022 sebanyak 210, Januari 2023 sebanyak 340, Maret 2023 sebanyak 267, Juni 2023 sebanyak 164, Oktober 2023 sebanyak 375, dan Januari 2024 sebanyak 318. Penelitian ini bertujuan merekomendasikan kombinasi peramalan dan perencanaan agregat heuristik sebagai strategi perencanaan produksi di Lotus Glove. Peramalan akan dilakukan menggunakan ARIMA dan agregat heurisitik menggunakan pengendalian tenaga kerja dan pengendalian overtime. Model ARIMA yang paling tepat digunakan dalam peramalan yaitu (2,1,1) dengan hasil peramalan Februari 2024 sebesar 37.402, Maret 2024 sebesar 42.145, April 2024 sebesar 39.795, Mei 2024 sebesar 40.376, Juni 2024 sebesar 41.012, Juli 2024 sebesar 39.619, Agustus 2024 sebesar 41.406, September 2024 sebesar 39.496, Oktober 2024 sebesar 41.339, November 2024 sebesar 39.684,Desember 2024 sebesar 41.087, Januari 2025 sebesar 39.960, Februari 2025 sebesar 40.816, Maret 2025 sebesar 40.206, April 2025 sebesar 40.606, Mei 2025 sebesar 40.376, Juni 2025 sebesar 40.475, dan Juli 2025 sebesar 40.740. Pada perencanaan agregat heuristik diperoleh hasil bahwa pengendalian tenaga kerja memiliki total biaya paling minimum dibandingkan pengendalian overtime. Perencanaan agregat heuristik memberikan penghematan sebesar 3,36% dari total biaya sebelum dilakukan perencanaan agregat. Kata Kunci: ARIMA, Agregat, Heuristik, Produksi Abstract Lotus Glove experienced fluctuating demand for golf gloves from February 2019 to January 2024. In addition, Lotus Glove had not carried out production planning properly, such as forecasting fluctuating demand and adjusting the number of workers and overtime hours based on production levels. This condition causes Lotus Glove to experience an inability to meet customer demand in several periods such as August 2022 as many as 210, January 2023 as many as 340, March 2023 as many as 267, June 2023 as many as 164, October 2023 as many as 375, and January 2024 as many as 318. This research aims to recommends a combination of forecasting and heuristic aggregate planning as a production planning strategy in Lotus Glove. Forecasting will be carried out using ARIMA and heuristic aggregates using labor control and overtime control. The most appropriate ARIMA model used in forecasting is (2,1,1) with forecasting results for February 2024 of 37,402, March 2024 of 42,145, April 2024 of 39,795, May 2024 of 40,376, June 2024 of 41,012, July 2024 of 39,619, August 2024 amounted to 41,406, September 2024 amounted to 39,496, October 2024 amounted to 41,339, November 2024 amounted to 39,684, December 2024 amounted to 41,087, January 2025 amounted to 39,960, February 2025 amounted to 40,816, March 2025 amounted to 40,206, April 2024 25 amounted to 40,606, May 2025 amounted to 40,376, June 2025 amounting to 40,475, and July 2025 amounting to 40,740. In heuristic aggregate planning, the results show that labor control has the minimum total costs compared to overtime control. Heuristic aggregate planning provides savings of 3.36% of the total costs before aggregate planning is carried out. Keywords: ARIMA, Aggregate, Heuristic, Production

Item Type: Thesis (Skripsi, Tugas Akhir or Kerja Praktek) (Tugas Akhir)
Subjects: T Technology > TS Manufactures
Divisions: Fakultas Sains dan Teknologi > S1 Teknik Industri
Depositing User: Kaprodi S1 Teknik Industri UTY
Date Deposited: 28 Nov 2024 02:51
Last Modified: 28 Nov 2024 02:51
URI: http://eprints.uty.ac.id/id/eprint/16716

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