scholarly journals EVALUASI KINERJA RANTAI PASOK SAYURAN ORGANIK DENGAN PENDEKATAN SUPPLY CHAIN OPERATION REFERENCE (SCOR)

2018 ◽  
Vol 8 (2) ◽  
pp. 312 ◽  
Author(s):  
Dwi Apriyani ◽  
Rita Nurmalina ◽  
Burhanuddin Burhanuddin

Abstract. The purpose of this study is to analyze the performance of organic vegetable supply chains in each member chain to determine the direction of improvement in the fulfillment of consumer needs optimally. The performance of supply chains at the farm level will be differentiated by individuals and commodities. The analytical method used is the Supply Chain Operational Reference (SCOR) model taking into account the internal and external attributes. The primary data used is taken through observation and interview process, meanwhile secondary data obtained from related institutions. The results of measuring the performance of organic vegetable supply chains at all levels of the responsiveness and flexibility attributes have achieved the superior performance position. Meanwhile, the value of organic vegetable supply chain performance on asset attributes at the farm level only reaches a good position. But at the corporate level has reached the best performance position (superior). In general, the performance of the organic vegetable supply chain on the cost attribute still has not achieved good performance. So there is the need for improvement efforts through minimization of cost in each supply chain activity to improve performance.

Agrika ◽  
2018 ◽  
Vol 12 (2) ◽  
Author(s):  
Adi Budiwan ◽  
Ramon Syahrial

Tujuan penelitian ini adalah merancang sistem pengukuran kinerja rantai pasok serta memberikan usulan perbaikan berdasarkan hasil pengukuran kinerja rantai pasoknya. Penelitian dilakukan pada kelompok tani di Kabupaten Pacitan. Hasil rancangan pengukuran kinerja rantai pasok adalah 24 KPI yang dibagi ke dalam lima proses manajemen dasar rantai pasok, yaitu: plan, source, make, deliver dan return. Identifikasi KPI diperoleh dari kerangka SCOR model. Dengan konsep AHP diperoleh bobot untuk masing-masing perspektif yaitu plan (0,233); source (0,120); make (0,555), deliver (0,060) dan return (0,032). Pada tahap pengukuran, proses scoring system menggunakan proses normalisasi Snom De Bour, selanjutnya dengan analisis traffic light system yaitu untuk mengetahui pencapaian performasi KPI melalui tiga warna (merah, kuning dan hijau) sebagai indikator. Dari hasil pengukuran performansi terdapat 2 KPI yang memiliki kinerja rendah yang memerlukan prioritas perbaikan yaitu Product Failure in Grinding Process (PFGP) dan Product Failure in Mixer Process (PFMP). Kata Kunci: Pengukuran, Performansi, Rantai, SCOR, Model, Process


JUMINTEN ◽  
2020 ◽  
Vol 1 (5) ◽  
pp. 109-120
Author(s):  
Muhammad Trisyadi Waluya Jati ◽  
Dira Ernawati ◽  
Nur Rahmawati

Kinerja adalah suatu aspek yang bisa diukur sebagai acuan dan harapan bagi instansi, organisasi dan perusahaan. DI PT. XYZ merupakan perusahaan manufaktur dan beberapa tahun ini perusahaan mengalami beberapa permasalahan pada proses rantai pasok, mulai dari keterlambatan pengiriman ke beberapa toko material, produk cacat, dan menumpuknya stok yang ada di gudang. Itu bisa terjadi karena beberapa faktor yaitu, proses pegiriman produk, proses produksi, SDM (sumber daya manusia) dan proses yang ada kaitannya dengan supply chain mulai dari proses awal sampai akhir pengiriman. Oleh karena itu perlunya analisis kinerja perusahaan di bagian beberapa departemen yang berhubungan dengan rantai pasok dan dianalisa untuk mengetahui kinerja pada proses supply chain. Metode penelitian yang digunakan ialah SCOR model (Supply chain Operation Reference) dan AHP (Analitical hierarchy process) dan penelitian ini bertujuan untuk mengetahui kinerja rantai pasok dan diperlukan key performance indicator (KPI) yang spesifik agar jadi acuan yang jelas dalam mengukur rantai pasok. Berdasarkan perhitungan dari SCOR model diperoleh nilai masing–masing attribut yaitu: Reliability dengan nilai 17,39, Responsiveness 22.98, Agility 11,76, Cost 7,15 dan Asset Management dengan nilai 7,16. Total nilai Performansi SCOR yang didapatkan perusahaan berada pada kategori Average dengan nilai 66,44.


2019 ◽  
Vol 12 (3) ◽  
pp. 218-223
Author(s):  
Dui Hongyan ◽  
Li Ceng ◽  
Zhang Chi

Background: In recent years, the cost is becoming one of the biggest obstacles for the effective operation of supply chain. It is increasingly urgent to minimize the cost and optimize the supply chain system. However, importance measures have been little used in it as a research focus in solving the optimization problems. Methods: With respect to the foregoing, this paper combines the reliability, importance measures and cost issues to improve the supply chain. Supply chain costs can be divided into three classes: design cost, manufacturing cost, and inventory cost. Results: Then importance measures based on the costs are given and demonstrated in a case study. Results show that the optimal system and minimal cost can be obtained by focusing on the important parts in supply chain operation. Conclusion: The importance order and the key elements identification are helpful to increase the operational efficiency of the supply chain and provide effective methods for improving the supply chain management.


2014 ◽  
Vol 1 (4) ◽  
pp. 173
Author(s):  
Syarif Hidayat ◽  
Sita Ayu Astrellita

This research was conducted to identify the supply chain model of PT. Lotte Mart Indonesia (LMI) and analyze the performance of its cross dock distribution system using the adjusted Supply Chain Operation Reference (SCOR) model. The products studied were the fastest moving drinks and dairy category.  The first level of performance indicator for Reliability attribute is Perfect Order Fulfillment which has the second level of performance indicators are % of Orders Delivered in Full, and On Time Delivery. The supply chain performance for 3 months in 2012 was good at 74%. The second level mapping found errors in the deliver stock (D1) and deliver retail (D4) procedures. The third level mapping found 4 erroneous procedures in the stock-out goods, receiving inappropriate order, delayed and damaged goods, and a gap between ordered and received goods.  Procedures were suggested to remedy these errors.


Author(s):  
S Kundu ◽  
A McKay ◽  
A de Pennington

As consumer affluence and desire for customized products and services at affordable prices and shorter lead times continue to accelerate, supply chain operators are facing increasing challenges of becoming both physically efficient (to enable the delivery of low cost) and flexible (to enable market-responsiveness). In order to meet these challenges, organizations are devising supply chain operation strategies that enable them to gain the benefits of physical efficiency of mass production and the customer focus of mass customization. A key to gaining these benefits lies in the selection of appropriate decoupling points in the supply chain. Decoupling points lie on the push—pull boundary. The selection of decoupling points requires knowledge from a range of different experts. The research reported in this paper used knowledge-based techniques to bring together knowledge from the viewpoints of different experts in the selection of decoupling points in supply chains. A knowledge model in the form of a network of production rules is presented. Results derived from applying the knowledge model to the case studies show similar trends to published literature.


SINERGI ◽  
2021 ◽  
Vol 25 (3) ◽  
pp. 269
Author(s):  
Muhammad Shobur ◽  
Syahreen Nurmutia ◽  
Gilang Ardi Pratama

The role of the Supply Chain affects the value of domestic products that arise in an area is not the same as the income received by residents of the area. It can be seen that the staple products sector dominates 61.55% of the distribution of products in Central Java. So, this is an important factor in measuring the Supply Operations Chain that occurs in these commodities. The high costs incurred in this sector encourage us to continue to improve our operational performance to reduce costs as low as possible. The condition is what the public/consumers want so that the gap between production costs and distribution costs of existing products is not too far away. This study aims to measure consumer satisfaction with the Supply Chain in the area and optimize the Supply Chain model that can be done to improve operational processes in the upstream (supplier) and downstream (distribution channels) of the Supply Chain in Central Java. The data analysis method used is the Supply Chain Operation Reference (SCOR). This model serves to weigh the importance of measuring customer satisfaction with the Supply Chain in the area, and efforts to improve operational performance can be made by minimizing failure in the process so that delivery to consumers is on time. The results of the SCOR model show that Asset, Agility, and Cost are variables that must be improved in the logistics process in Central Java. 


2021 ◽  
Vol 187 (1-2) ◽  
pp. 139-145
Author(s):  
Hafidh Munawir ◽  
◽  
Putri Rona Mabrukah ◽  
Much Djunaidi ◽  
Suranto ◽  
...  

Nowadays, the Hayuningrum Batik Industry keeps trying to optimize the production of batik cloth until the batik cloth can be accepted by consumers, but the Hayuningrum Batik Industry lacks awareness about environmental issues. One effort that can be taken is by measuring the performance of Green Supply Chain Management (GSCM). This study aims to calculate and analyze GSCM performance in the Hayuningrum Batik Industry in the year 2020 and provide proposed improvement to improve GSCM performance in the Hayuningrum Batik Industry located in Laweyan, Surakarta. The method used are the Green Supply Chain Operation Reference (Green SCOR) model approach, weighting with the Analytical Hierachy Process (AHP) method, and normalization using the Snorm de Boer formula. Based on research conducted, 26 Key Performance Indicators (KPI) have been verified. The KPI is weighted using the AHP method. Then, the normalization score has been calculated for each indicator. The results of these measurements show the value of GSCM performance in the Hayuningrum Batik Industry of 57.42, which means that the performance is classified as Average. Therefore, the Hayuningrum Batik Industry need to improve their performance. The proposed improvement is given to each indicator in the Hayuningrum Batik Industry that need to be prioritized for improvement.


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