Evaluasi Efisiensi Supply Chain Dengan Model Data Envelopment Analysis (DEA) (Studi Kasus Di PT. Paramithatama Asriraya)

Warsito, Warsito (2008) Evaluasi Efisiensi Supply Chain Dengan Model Data Envelopment Analysis (DEA) (Studi Kasus Di PT. Paramithatama Asriraya). Masters thesis, Institut Teknologi Sepuluh November.

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Abstract

Manajemen Supply Chain merupakan salah satu pilihan strategi bagi perusahaan agar dapat berkompetisi dalam kondisi persaingan saat ini. Namun, mengelola supply chain tidak semudah mengelola aktivitas dalam satu perusahaan sebagai single channel. Evaluasi efisiensi supply chain menjadi sulit dilakukan apabila pertimbangan aliran produk dan informasi dilihat dalam lingkup supply chain secara keseluruhan. Sebagian besar metode atau model pengukuran yang berkembang saat ini hanya mengukur efisiensi supplier sebagai single channel dan belum dapat mengakomodasi kepentingan maupun informasi supply chain secara menyeluruh. Data Envelopment Analysis (DEA) merupakan teknik yang dapat digunakan untuk mengukur efisiensi, tetapi DEA konvensional (Charnes, Cooper, dan Rhodes) tidak dapat digunakan untuk menghitung efisiensi supply chain karena multiple input maupun multiple output antar-channel saling berhubungan, sehingga terdapat keterkaitan antara input/output supplier dengan input/output manufacturer. Penelitian ini melakukan identifikasi, pengembangan, dan penerapan model DEA agar dapat mengukur efisiensi secara bertingkat dari unit produksi atau aliran produk dalam supply chain serta mengakomodasi kepentingan antar-channel yang bersifat kooperatif. Oleh karena itu, untuk mengukur efisiensi supply chain dalam penelitian ini digunakan model yang dikembangkan oleh Liang et al. (2006). Berdasarkan data yang tersedia, dilakukan perhitungan menggunakan perangkat lunak LINDO sehingga dapat diketahui tingkat efisiensi supply chain, yang relatif lebih sulit dicapai dibandingkan dengan efisiensi single channel. Sebagai contoh, efisiensi DMU7 kertas pada single channel memiliki nilai 1, sedangkan efisiensi supply chain-nya sebesar 0,990. Demikian pula, efisiensi DMU2 tinta pada single channel memiliki nilai 1, sedangkan efisiensi supply chain-nya sebesar 0,939. Jumlah DMU yang efisien pada single channel lebih banyak dibandingkan dengan jumlah DMU yang efisien pada supply chain. Hal ini menunjukkan bahwa tingkat efisiensi supply chain lebih sulit dicapai dibandingkan dengan efisiensi single channel. Selain itu, DMU yang menjadi preferensi peer group pada pengukuran single channel tidak serta-merta menjadi DMU yang efisien pada pengukuran supply chain. Oleh karena itu, target peningkatan output atau pengurangan input dalam rangka meningkatkan efisiensi bagi DMU (Decision Making Unit) yang tidak efisien tidak dapat ditentukan secara sepihak oleh masing-masing channel dalam supply chain, tetapi harus ditetapkan berdasarkan kesepakatan mengenai nilai atau bobot yang ingin dicapai antar-channel.
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Supply Chain Management is one of the strategic options available to companies seeking to compete in today's business environment. However, managing a supply chain is more complex than managing activities within a single company as a single channel. Evaluating supply chain efficiency becomes difficult when product and information flows are considered from the perspective of the entire supply chain. Most measurement methods or models currently available only measure supplier efficiency as a single channel and cannot fully accommodate the interests or information of the entire supply chain. Data Envelopment Analysis (DEA) is a technique that can be used to measure efficiency; however, conventional DEA (Charnes, Cooper, and Rhodes) cannot be directly applied to measure supply chain efficiency because the multiple inputs and multiple outputs across channels are interrelated, creating linkages between supplier inputs/outputs and manufacturer inputs/outputs. This research identifies, develops, and applies a DEA model to measure the efficiency of production units or product flows within a supply chain while accommodating the interests of interrelated channels operating cooperatively. Therefore, the model developed by Liang et al. (2006) is employed to measure supply chain efficiency in this study. Based on the available data, calculations are performed using LINDO software to determine the level of supply chain efficiency, which is relatively more difficult to achieve than single-channel efficiency. For example, DMU7 for paper has an efficiency score of 1 in the single-channel measurement, whereas its supply chain efficiency score is 0.990. Similarly, DMU2 for ink has an efficiency score of 1 in the single-channel measurement, whereas its supply chain efficiency score is 0.939. The number of efficient DMUs in the single-channel measurement is greater than the number of efficient DMUs in the supply chain measurement. This indicates that achieving supply chain efficiency is more difficult than achieving single-channel efficiency. Furthermore, DMUs identified as preferred peer groups in the single-channel measurement do not necessarily become efficient peers in the supply chain measurement. Therefore, targets for increasing output or reducing input to improve the efficiency of inefficient DMUs (Decision Making Units) cannot be determined independently by each supply chain channel. Instead, the target values or weights to be achieved must be established through agreement and coordination among the channels.

Item Type:	Thesis (Masters)
Additional Information:	RTI 658.5 War e
Uncontrolled Keywords:	Data Envelopment Analysis (DEA), Efisiensi, Supply Chain, Ko- operatif, Decision Making Unit (DMU), Data Envelopment Analysis (DEA), Efficiency, Supply Chain, CoOperative, Decision Making Unit (DMU)
Subjects:	H Social Sciences > HD Industries. Land use. Labor > HD38.5 Business logistics--Cost effectiveness. Supply chain management. ERP
Divisions:	Faculty of Industrial Technology > Industrial Engineering > 26101-(S2) Master Thesis
Depositing User:	magang .
Date Deposited:	29 Sep 2026 06:19
Last Modified:	29 Sep 2026 06:19
URI:	http://repository.its.ac.id/id/eprint/145013

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