The integration of computerization in the company allows the groove and access to information in the company can quickly and accurately are reinforced on all fronts. The integration of computerized currently used large companies to compete and develop is enterprise resource planning (ERP). ERP is the integration of all the process of information data on the organization into a system of software and hardware to achieve integration. distribution requirement planning (DRP) is an operating system (production, procurement, atonia material, product distribution) occurs only as a response to the scheduling planning for every operation without taking into account the status of the real-time from the corresponding operation. MSMES of skewer making machine have the name of UD. Adhi teknik of standing since the year 2008 is moving in the field of making the machine as satay. MSMES is located in Terung Kulon, Sidoarjo, East Java. This company does not have a Distribution management system so that the process of distribution of these companies are still experiencing delays and good in the process of production and distribution process company products to customers who cause the swelling production cost, the cost of distribution and becomes dissatisfied by the customer. The method of calculation DRP produce cost savings compared to the method used by the company. Besides that the interval is also more than the previous one. With ERP information system technology also accelerate the flow of information between the department and also the sale and purchase of.
PENDAHULUANPada era persaingan pasar global dewasa ini, tuntutan konsumen atas peningkatan kualitas produk bertambah. Tidak dapat dipungkiri, kualitas telah menjadi salah satu syarat utama bagi kesuksesan bisnis. Setiap perusahaan secara terus -menerus perlu meningkatkan kualitas produk dan menekan jumlah produk cacat. Karena produk yang mengalami kegagalan pada proses produksinya atau mengalami cacat, akan berdampak pada biaya perusahaan terutama kepuasan konsumen. Salah satu metode yang dapat digunakan dalam mengidentifikasi kegagalan dalam proses produksi dan yang paling berpengaruh terhadap kualitas produk adalah dengan pendekatan Lean Six Sigma menggunakan metode FMEA (Failure Mode And Effect Analysis) yang diintegrasikan dengan Fuzzy.Perusahaan ini bergerak pada industri kemasan plastik dan produk yang dihasilkan antara lain jenis botol, gallon, sikat gigi dan cap tutup botol. Masalah yang sedang dihadapi departemen produksi blow moulding di PT. XYZ adalah tingginya pemborosan karena defect yang terjadi karena cacat atau produk. Dengan total defect tertinggi pada produk Botol Sabun Cair yang mencapai 9.1% karena itu perlu dilakukan penelitian sehingga bisa diidentifikasi penyebab defect produk tersebut. Defect rata-rata perusahaan saat ini diatas target cacat yang ditentukan perusahaan, yaitu sebesar 2%. Berdasarkan data produksi bulan Oktober 2013, diketahui bahwa defect yang tertinggi yaitu defect dengan kategori kotor hitam dan garis di body.Penggunaan metode Lean Six Sigma diharapkan mampu untuk mengidentifikasi permasalahan pemborosan yang sering terjadi pada lantai produksi, khususnya dalam penelitian ini adalah cacat atau kegagalan produk.Penggunaan metode FMEA itu sendiri akan dapat mengidentifikasi potensi kegagalan yang timbul dalam proses produksi botol sabun cair dengan tujuan untuk meminimalkan resiko kegagalan produksi [1]. Seberapa serius kondisi yang diakibatkan jika terjadi kegagalan, tingkat kemungkinan terjadinya kegagalan dan metode apa yang sudah diterapkan untuk mengantisipasi kegagalan tersebut merupakan dasar untuk menentukan komponen penting untuk dilakukan tindakan perbaikan. Dari beberapa tindakan perbaikan yang didapat dari hasil pengolahan FMEA, kemudian metode FMEA dintegrasikan dengan metode fuzzy untuk mendapatkan prioritas
Flow shop is the process of determining the sequence of jobs that have the same product path. While the flow-shop scheduling takes assumption that a number of jobs that each has the same machine work sequence. The problems faced by com-panies, namely the high demand and yet the existence of a good scheduling planning resulted in the company should be able to optimize sche-duling job. One of the ways to solve these problems is by minimizing the Makespan. This research will solve the problem regarding to the flow shop scheduling by using cross entropy-genetic algorithm (CEGA) method to minimize Makespan. The technique that is used to solve the problem is by comparing the result of the application of existing methods in the company with the proposed method (CEGA). To support the application of CEGA used MATLAB software. Finally known that the results CEGA can give optimal solution, Makespan values obtained for 10829 seconds. So far, it was more effective than the method that used at the firm with Makespan efficiency by 10.06%.Keywords: Flow Shop, Scheduling, Cross Entropy-Genetic Algorithm, Makespan.
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