Synergies and conflicts between marketing and supply chain management key performance indicators

2019 ◽  
Vol 8 (1) ◽  
pp. 78
Author(s):  
Juliana Costa Dias De Moraes ◽  
Éderson Luiz Piato ◽  
Márcio Lopes Pimenta ◽  
Thiago Alves De Souza
2019 ◽  
Vol 8 (1) ◽  
pp. 78
Author(s):  
Márcio Lopes Pimenta ◽  
Thiago Alves De Souza ◽  
Éderson Luiz Piato ◽  
Juliana Costa Dias De Moraes

2018 ◽  
Vol 159 ◽  
pp. 02068
Author(s):  
Elisa Kusrini ◽  
Rangga Primadasa

This paper aims to design key performance indicators (KPIs) for evaluating sustainable supply chain management (SSCM) for palm oil processing industry in Indonesia. Supply chain sustainability is the management of environmental, social and economic impacts, and the encouragement of good governance practices, throughout the lifecycle of goods and services. The method in designing KPIs using a triangulation method, ie combining of theory (literature study) with field surveys and validate with the opinion of the expert (expert judgment) as well as compatibility with existing regulations (Indonesian sustainable palm oil / roundtable on sustainable palm oil). There are 29 proposed KPIs for measuring SCM’s sustainable palm oil in Indonesia based on literature and expert judgment. In order to obtain a more precise performance, then the importance level of KPI will be measured using Analytic Hierarchy Analysis (AHP) method. According to the preferences of some managers of palm oil using AHP method showed that the economic factor is the most dominant indicator (62,92%), followed by environmental (18,93%) and social factors (18,15%). In subsequent studies, the results of the KPIs will be used to measure the index of sustainability in the palm oil’s supply chain industry in Indonesia.


2021 ◽  
Vol 328 ◽  
pp. 08001
Author(s):  
Almaash Putridewi ◽  
Reda Rizal ◽  
dan Santika Sari

This study aims to provide information to companies regarding the latest performance conditions of environmentally friendly supply chain management through the design of the green supply operation reference and analytical hierarchy process (AHP) performance measurement system model, as well as to assess the company's GSCM performance which is then used to formulate recommendations for improving performance indicators that are considered inadequate good. The results of this study identified 18 performance indicators from 5 appropriate processes used in measuring the performance of PT XYZ's GSCM. Overall, the company's GSCM performance got a score of 77 which was included in the good category, but there were five indicators that had poor performance scores and recommendations for improvement were needed.


Author(s):  
Yudiansyah Yudiansyah ◽  
Tukhas Shilul Imaroh

PT. XYZ is one of the companies engaged in the salt processing industry in Indonesia. The development of this industry, in addition to having a positive impact on the economy also has the potential for negative impacts on the environment if not managed properly. This condition is inseparable from the production process which produces many defects and rejects. One way to reduce these negative impacts is by measuring performance that is integrated with the environment (Green Supply Chain Management). The researcher uses the green SCOR model which refers to the SCOR (Supply Chain Operation Reference) model from the Supply Chain Council to identify green supply chain management performance indicators. Then use AHP (Analytical Hierarchy Process) to determine the level of importance of green supply chain management performance indicators. There are six categories of processes used in measuring the performance of green supply chain management, namely plan, source, make, deliver, return and waste management, but research is focused on the make process that focuses on the salt production process. The results of measurements indicate that the value of the performance of green supply chain management of PT. XYZ in 2017 amounted to 75.4 and 2018 amounted to 72.3 is still below 80 even though it is nearing the target but is still being controlled and efforts are made to improve. But when in 2019 it decreased to 46.6 which shows far below the target and needs to be done immediately. As for the 17 performance indicators measured, there are 9 performance indicators that need to be improved, namely reusable material, the number of machine troubles, the number of process rejects, recycleable rejects, the amount of waste, the amount of product defects, recycleable defects, production costs and waste handling costs.


2019 ◽  
Vol 3 (1) ◽  
pp. 136-152
Author(s):  
Dwi Nurma Heitasari ◽  
Ibnu Lukman Pratama ◽  
Melda Anggra Puspita

PT. X (Persero) merupakan perusahaan yang bergerak di bidang jasa logistik dalam sektor energi. Salah satu pelayanan jasa logistik PT. X (Persero) adalah penyediaan penyewaan jasa fasilitas midstream supply chain untuk produk Liquefied Natural Gas (LNG). Guna menciptakan supply chain logistik energi yang efisien, pengukuran produktivitas Supply Chain Management (SCM) tentu menjadi komponen yang sangat fundamental. Dalam rangka mendukung proses tersebut, dilakukan scoring system dengan metode Objective Matrix (OMAX) dan pembobotan dengan metode Analytical Hierarchy Process (AHP). Parameter pengukuran produktivitas SCM yang digunakan adalah empat proses inti dalam Supply Chain Operations Reference (SCOR), yakni plan, source, make, dan deliver, serta 16 Key Performance Indicators (KPI) perusahaan. Hasil dari penelitian ini menunjukkan bahwa indeks produktivitas untuk proses inti plan dan deliver pada tahun 2019 telah mencapai target yang ditetapkan dengan angka pencapaian 1000%. Sementara untuk proses inti source dan make, terjadi fluktuasi indeks produktivitas yang signifikan karena adanya beberapa pencapaian KPI yang menyimpang. Sehingga, dalam penelitian ini, dilakukan penelusuran sebab akibat terjadinya permasalahan, serta pemberian rekomendasi terkait upaya peningkatan dengan penyusunan fishbone diagram berdasarkan pendekatan manpower, machine, mother nature, material, method, dan measurement. Kata Kunci: Produktivitas, Supply Chain, Performance Indicators


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