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Pengukuran Kinerja Rantai Pasok pada PT. Louserindo Megah Permai Menggunakan Model SCOR dan FAHP Sarah Azmiyati; Syarif Hidayat
JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Vol 3, No 4 (2016)
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/sst.v3i4.230

Abstract

Abstrak - Tantangan yang dihadapi dunia manufaktur, seiring dengan berkembangnya zaman selalu berubah dan semakin berat dari masa ke masa. Keunggulan bersaing pada era ini tidak hanya ditentukan oleh kemampuan suatu industri dalam menciptakan banyak output persatuan waktu. Produktifitas memang penting, tetapi tidak cukup sebagai bekal untuk bersaing dipasar. Pelanggan mulai bisa membedakan produk berdasarkan kualitasnya. Kualitas produk pun sangat bergantung pada proses, manusia, dan sistem secara keseluruhan. Pengendalian kualitas tidak lagi cukup hanya dilakukan dengan model inspeksi produk, tetapi lebih fundamental dengan melihat proses. PT. Louserindo Megah Permai (LMP) merupakan perusahaan yang menerapkan manajemen rantai pasok pada setiap proses produksinya. Pada penelitian ini akan dilakukan pengukuran kinerja terhadap manajemen rantai pasok pada proses elemen stage finished product dan release finished product to deliver pada LMP. Metode yang dipakai dalam mengukur kinerja tersebut adalah metode SCOR yang dibantu dengan metode FAHP (Fuzzy Analytical Hierarchy Process) dalam proses menentukan bobot pada setiap metrics. Dari hasil perhitungan tersebut maka akan diketahui indikator kinerja perusahaan yang tergolong rendah sehingga bisa diberikan usulan perbaikan serta diketahui metrics apa saja yang sangat mempengaruhi kinerja pekerja pada LMP. Penelitian ini dilakukan berdasarkan pada penurunan selama 4 tahun terakhir (2010-2014) di LMP pada tingkat penjualan lift dan hanya mengalami kenaikan sebesar rata-rata hanya 10%. Oleh karena itu perusahaan perlu melakukan pengukuran kinerja supply chain untuk mengetahui sejauh mana performansi supply chain perusahaan telah tercapai. 2. Dari hasil pengukuran kinerja rantai pasok LMP untuk periode tahun 2015, didapatkan nilai kinerja sebesar 73.82%, yang termasuk dalam kategori Good menurut Hvolby (2000). Dari perhitungan pada indikator kinerja SCOR yang telah dilakukan, didapatkan 9 metrics yang nilai kinerjanya rendah, yaitu: Delivery Performance to Customer Commit Date [60%], %Faultless Installation [55%], Days Payable Outstanding [25%], Rout Shipments Cycle Time [60%], Deliver Cycle Time [30%], Ship Product Cycle Time [60%], Load Vehicle & Generate Shipping Documentation Cycle Time [60%] dan Install Product Cycle Time [30%]. Kata Kunci – Pengukuran kinerja, Manajemen Rantai Pasok, SCOR, Fuzzy Analytical Hierarchy Process Abstract - The challenges faced the manufacturing world, along with the evolution of the ever changing and increasingly heavy from time to time. Competitive advantage in this era not only determined by the ability of industry in creating a lot of unity output time. Productivity is important but enough as a provision to complete in the market. Customer can be begin to differentiate products based on their quality. Product quality is highly dependent on process, human, and system as a whole. Quality control is not only done with the product inspection model, but more fundamentally by looking at the process.  PT. Louserindo Megah Permai is company that implemented supply chain management in each production process. In this research, performance measurement of supply chain management on stage finish product element process and finished product to deliver on LMP. The method used in measuring the performance is SCOR method wich is assisted by FAHP (Fuzzy Analytical Hierarchy Process) method in the process determining the weight of each metrics. From the results of these calculations it will be known indicators of company performance are low so that it can be given suggestions for improvement and known metrics what are affecting the performance of workers in LMP. This study is based on decline over the last 4 year (2010-2014) in LMP at the level of elevator sales and only increased by on average of only 10%. Therefore, companies need to measure supply chain performance to know the extent to which the company's supply chain performance has been achieved. 2. From the results of LMP supply chain performance measurement for the period of 2015, obtained a performance value of 73.82%, which is included in the category of Good according to Hvolby (2000). From the calculation on SCOR performance indicator that has been done, got 9 metrics that its performance value is low, that is: Delivery Performance to Customer Commit Date [60%],% Faultless Installation [55%], Days Payable Outstanding [25%], Rout Shipments Cycle Time [60%], Deliver Cycle Time [30%], Ship Product Cycle Time [60%], Load Vehicle & Generate Shipping Documentation Cycle Time [60%] and Install Product Cycle Time [30%]. Keywords – Performance Measurements, Supply Chain Management, SCOR, Fuzzy Analytical Hierarchy Process
Simulasi Sistem Untuk Meningkatkan Kinerja Rantai Pasok Widya Nurcahayanty Tanjung; Syarif Hidayat; Sarah Azmiyati
JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Vol 3, No 4 (2016)
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/sst.v3i4.231

Abstract

Abstrak - Berdasarkan hasil pengukuran kinerja rantai pasok yang telah dilakukan oleh Azmiyati [1] di PT. Louserindo Megah Permai (LMP) pada tahun 2015, nilai kinerja yang dicapai sebesar 73.82%. nilai tersebut masuk kedalam kategori Good menurut Hvolby [4]. Dari 29 metrics yang dinilai, terdapat 3 metrik yang nilai kinerjanya masih buruk, yaitu Days Payable Outstanding (25%), Deliver Cycle Time (30%), dan Install Product Cycle Time  (30%). Sebagai upaya agar perbaikan kinerja dapat dilakukan dengan baik, diperlukan suatu simulasi dinamis untuk melihat faktor-faktor yang berpengaruh terhadap ketiga metrik tersebut. Entitas-entitas yang terlibat dalam simulasi dinamis yaitu, produksi, marketing, gudang, dan pengadaan. Berdasarkan hasil simulasi yang dilakukan diperoleh hasil bahwa, install product cycle time akan meningkat kinerjanya jika deliver cycle time meningkat. Hal ini disebabkan bahwa install product cycle time tidak akan mengalami keterlambatan jika kegiatan delivery dilakukan tepat pada waktunya. Sedangkan days payable outstanding akan meningkat kinerja jika install product dilakukan tepat waktu. Hal ini dikarenakan bahwa kegiatan penagihan atau pembayaran baru dapat dilakukan jika dan hanya jika produk telah terpasang dengan sempurna. Dengan demikian untuk meningkatkan kinerja metrik-metrik tersebut entitas dari produksi, gudang, dan pengadaan harus melakukan koordinasi yang lebih baik agar keterlambatan yang mungkin terjadi dapat diminimalisir atau dihilangkan sama sekali. Kata kunci - Pengukuran kinerja, Supply Chain Management, SCOR, Simulasi Dinamis. Abstract - Based on the results of chain performance measurement that has been done by Azmiyati [1] in PT. Louserindo Megah Permai (LMP) in 2015, the performance value achieved was 73.82%. the value is included in the Good category according to Hvolby [4]. Of the 29 metrics assessed, there are 3 metrics whose performance values are still poor, ie Days Payable Outstanding (25%), Deliver Cycle Time (30%), and Install Product Cycle Time (30%). In order to improve performance well done, a dynamic simulation is required to see the factors that affect the three metrics. The entities involved in the dynamic simulation are, production, marketing, warehouse, and procurement. Based on the simulation results, the product cycle time will increase performance if the deliver cycle time increases. This is because the install product cycle time will not be delayed if delivery is done on time. While the days payable outstanding will increase performance if the install product is done on time. This is because the new billing or payment activity can be done if and only if the product has been installed perfectly. Thus to improve the performance of these metrics the entities of production, warehouse, and procurement must perform better coordination so that any possible delays can be minimized or eliminated altogether.  Keywords - Performance Measurement, Supply Chain Management, SCOR, Dinamyc Simulations.