Pengukuran Kinerja Rantai Pasok Dengan Model Supply Chain Operations Reference (SCOR) dan Metode Perbandingan Berpasangan

Liputra, David Try; Santoso, Santoso; Susanto, Nadya Ariella

doi:10.26593/jrsi.v7i2.3033.119-125

Cited by 22 publications

(20 citation statements)

References 8 publications

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“…Penelitian Arshad & Arshad (2018) menyebutkan bahwa IKM menjadi kontributor utama dalam pembangunan ekonomi nasional khususnya di negara-negara berkembang. IKM memiliki tugas besar untuk menyusun strategi bisnis dengan baik agar dapat bertahan dalam persaingan bisnis yang semakin ketat (Liputra, Santoso, & Susanto, 2018).…”

Section: Pendahuluanunclassified

Evaluasi Model Kinerja Pemasok Bahan Baku Agroindustri Tahu Dengan Metode Analytical Hierarchy Process

Fandeli¹,

Irmayani²,

Ernita

et al. 2022

STSP

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Industri kecil dan menengah (IKM) berbasis agroindustri bekontribusi besar dalam perekenomian nasional. IKM harus meningkatkan kinerja dan dapat bertahan dalam persaingan bisnis yang ketat. Pemasok bahan baku menjadi salah satu komponen penting dalam peningkatan kinerja IKM karena menjadi komponen hulu dari sistem rantai pasok. Permasalahan IKM terjadi pada beberapa faktor seperti transportasi dan harga. IKM sering mengalami penundaan produksi akibat terlambatnya kedatangan bahan baku sehingga berpotensi kerugian. Model penilaian kinerja dapat membantu pelaku IKM dalam mengidentifikasi dan mengambil keputusan dalam memilih pemasok. Penelitian ini mengidentifikasi kriteria pemilihan pemasok bahan baku agroindustri tahu dan mengusulkan kerangka kerja untuk mengevaluasi kinerja pemasok mereka. Penelitian ini memiliki tiga tahap utama. Pertama, identifikasi key performance indicators (KPIs) untuk kinerja pemasok pada IKM tahu yang bersumber dari studi literatur. Kedua, melakukan validasi KPIs kepada praktisi agroindustri. Terakhir, mengevaluasi kinerja pemasok IKM tahu berdasarkan KPIs yang dikembangkan menggunakan model analytic hierarchy process (AHP). Hasil penelitian mengusulkan 6 kriteria dan 18 indikator kinerja yang perlu dipertimbangkan oleh pelaku IKM agroindustri dalam memilih pemasok. Semua kriteria dan indikator kinerja dievaluasi menggunakan AHP untuk memperoleh kriteria dan indikator prioritas. Kriteria kualitas bahan baku, layanan pelanggan dan perhatian terhadap aspek sustainability menjadi tiga faktor utama yang dipertimbangkan. Model kinerja pemasok juga diaplikasikan pada salah satu agroindustri tahu di Kota Padang untuk mengevaluasi 4 alternatif pemasok bahan baku mereka. Hasilnya setiap pemasok memiliki keunggulan, namun secara keseluruhan pemasok 1 terpilih sebagai pemasok utama. Pemasok 1 unggul pada kriteria agility, kualitas, koordinasi dan kolaborasi serta efisiensi dalam rantai pasokan.Kata kunci : analytic hierarchy process, industri kecil dan menengah, kinerja pemasok, rantai pasokan ABSTRACT Agroindustry Small and medium-sized enterprises (SMEs) have a large contribution for national economy. SMEs are required to always improve their performance and survive in increasingly business competition. Raw material suppliers become one of the important components to improving SMEs performance. It becomes an upstream component of supply chain system. SMEs problems occur in some factors such as transportation and prices. Sometimes SMEs have production delays due to the late arrival of raw materials. Performance assessment model help SMEs to identifying and making decisions for supplier selection. This study identified supplier selection criteria of tofu raw materials and provided a framework to help SMEs to evaluate performance their suppliers. This study has three main stages. First, identify key performance indicators (KPIs) for supplier performances. Second, validate KPIs to agroindustry practitioners. Finally, evaluate the performance of SMEs suppliers based on KPIs developed using analytic hi...

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Section: Pendahuluanunclassified

Evaluasi Model Kinerja Pemasok Bahan Baku Agroindustri Tahu Dengan Metode Analytical Hierarchy Process

Fandeli¹,

Irmayani²,

Ernita

et al. 2022

STSP

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“…The cutting trader shows the highest added value due to its function. The functions of the cutter traders include the exchange function, transportation function, packaging function, financing function, and market information (Fatahilah et al, 2010;Liputra et al, 2018).…”

Section: Revenue and Profitsmentioning

confidence: 99%

Supply Chain Analysis of Cattle Market Participants in North Central Timor Regency

Sikone¹,

Hartono²,

Suyadi³

et al. 2021

AAVS

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This study determined the product flow, financial flow, and information flow in the beef cattle supply chain in each marketing agency of beef cattle in the North Central Timor Regency. The research method used was descriptive quantitative, which was carried out by a survey method. Determination of the sample using two methods: purposive sampling (applied to farmer respondents) and snowball sampling (to collect respondents from traders and butchers). Samples used in the study were 115 respondents consisting of 90 farmers, ten collectors, four inter-island cattle traders, six cattle butchers, and five meat retailers. The data was analyzed quantitatively, the presentation of the data was descriptive, and the added value of marketing was calculated using the Hayami method. The supply chain channel that occurs was quite simple, and there were five supply chain channels where identified. Channels 1 and 2 were the supply chain flow of live cattle to inter-island destinations and channels 3, 4, and 5, the cattle supply chain for the abattoir. In general, The product and financial flows were distributed vertically, while the information flow was vertical and horizontal. The highest added value of farmers was (60,6%), and marketing institutions or butchers was 25,1%.

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“…Penelitian yang membahas penerapan pengukuran kinerja model SCOR cukup banyak dilakukan pada industri manufaktur, antara lain (Hasibuan & Dzikrillah, 2018) di industri kimia, (Sellitto et al, 2015;Wahyuniardi et al, 2017) di industri alas kaki, (Liputra et al, 2018) di industri kemasan Produk, (Lestari et al, 2013) di industri minyak sawit, (Seifbarghy et al, 2010) di industri logam, (Pothasst et al, 2010) di industri automotive, (Ambe, 2014) di industri kendaraan ringan (Cheng et al, 2010) di industri konstruksi, (Schnetzler et al, 2009) di industri kayu, (Vanany et al, 2005) di industri lampu, (Sri Hartini et al, 2019) di industri garam dan (Fauziyah et al, 2020) di industri makanan halal. Penelitian terdahulu yang menggunakan metode kombinasi SCOR dan AHP untuk mengukur kinerja rantai pasok perusahaan antara lain Mendoza (2014) dan Anwar (2108) untuk menentukan metrik SCOR yang terpenting adalah mengidentifikasi metrik yang relevan untuk dilakukan perbaikan, Ponis et al, (2015) menggunakan metode SCOR dan AHP untuk membangun model framework penilaian kinerja rantai pasok, pada penelitiannya AHP dan pembobotan digunakan sebagai pemilihan kriteria yang memungkinkan untuk framework penilaian rantai pasok perusahaan, Sri Hartini., et al (2019) menggunakan metode SCOR dan AHP untuk menentukan KPI sebagai alat pengukuran kinerja rantai pasok industri garam.…”

Section: Supply Chain Operation Reference (Scor)unclassified

Framework pengukuran kinerja rantai pasok industri kemasan plastik menggunakan metode SCOR-AHP

Aryanto

Hasibuan

2021

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The manufacturing industry in general cannot be separated from the role of the plastic industry. In Indonesia, there are 925 companies that produce various kinds of plastic products for the food and beverage industry, automotive industry, pharmaceutical industry and other industries. Companies are faced with challenges to improve their supply chain competitiveness, while plastic packaging companies generally do not have a comprehensive performance measurement framework in their supply chains. The purpose of this research is to select and determine the level of importance of the Key Performance Indicator (KPI) for measuring the supply chain performance of the plastic packaging industry using the SCOR and AHP framework. In the initial stage, 45 KPIs were identified, from the results of expert validation, 29 KPIs were distributed to the dimensions of reliability, responsiveness, flexibility, cost, and assets. At the level 1 hierarchy the greatest level of importance is generated in the dimensions of reliability (A1), asset management (E1), responsiveness (B1), cost (D1), and flexibility (C1) with weights of 0.262, 0.209, respectively. 0.191, 0.175, and 0.163. The largest distribution of KPIs is on the reliability dimension, namely 32%, followed by the cost dimension of 16%, 12% responsiveness, flexibility and asset management have the same distribution, namely 4%. Based on the results of weighting using the AHP method, a supply chain performance measurement framework is recommended in the case of the plastic packaging industry.

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Pengukuran Kinerja Rantai Pasok Dengan Model Supply Chain Operations Reference (SCOR) dan Metode Perbandingan Berpasangan

Cited by 22 publications

References 8 publications

Evaluasi Model Kinerja Pemasok Bahan Baku Agroindustri Tahu Dengan Metode Analytical Hierarchy Process

Evaluasi Model Kinerja Pemasok Bahan Baku Agroindustri Tahu Dengan Metode Analytical Hierarchy Process

Supply Chain Analysis of Cattle Market Participants in North Central Timor Regency

Framework pengukuran kinerja rantai pasok industri kemasan plastik menggunakan metode SCOR-AHP

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