scholarly journals Pengukuran Kinerja Rantai Pasok Agroindustri Sirup Markisa Dengan Balance Scorecard di Provinsi Sumatera Utara

Author(s):  
Kimberly Febrina Kodrat ◽  
Sukaria Sinulingga ◽  
Humala Napitupulu ◽  
Rika Ampuh Hadiguna

Rantai pasok markisa merupakan suatu konsep yang memiliki sistem pengaturan yang berkaitan dengan aliran produk, aliran informasi serta aliran keuangan dalam proses distribusi buah markisa. Pengukuran kinerja rantai pasok merupakan aktivitasaktivitas dalam rangka memenuhi permintaan pelanggan atau persentase dari aktivitas pemenuhan permintaan perusahaan kepada konsumennya. Secara umum pengukuran kinerja rantai pasok dilakukan untuk mengetahui kinerja rantai pasok dalam hal efisiensi biaya dan waktu operasi rantai pasok. Pengukuran ini dilakukan dengan terlebih dahulu menentukan indikator-indikator rantai pasok. Tujuan penelitian ini untuk merancang sistem pengukuran kinerja rantai pasok dengan menggunakan balance scorecard untuk mengidentifikasi kelemahan dan keunggulan dari sistem rantai pasok terkait melalui identifikasi indikatorindikator kunci (key performance indicators) kinerja rantai pasok agroindustri markisa. Metode penelitian ini menggunakan metode survei dengan teknik observasional deskriptif. Hasil penelitian menetapkan18 KPI yang relevan digunakan untuk mengukur kinerja rantai pasok agro industri markisa dengan menggunakan Balance Score Card dan pada Perspektif customer merupakan yang menjadi prioritas yang dibuktikan dari 3 KPI pada urutan tertinggi bobotnya masing-masing: 1) tingkat kepuasan pelanggan (C2) dengan bobot 0,1098, 2) peningkatan kualitas (C1) dengan bobot 0,0897 dan 3) tingkat ketertarikan pelanggan terhadap produk ramah lingkungan (C4) dengan bobot 0,0801 serta kinerja rantai pasok agroindustri markisa 4,3228 (cukup baik).   Passion fruit supply chain is a concept that has a regulatory system related to product flow, information flow and financial flow in the process of distribution of passion fruits. Supply chain performance measurement is activities in order to meet customer demand or a percentage of the company's demand fulfillment activities to consumers. In general, supply chain performance measurements are carried out to determine supply chain performance in terms of cost efficiency and supply chain operating time. This measurement is done by first determining the supply chain indicators. The purpose of this study was to design a supply chain performance measurement system using a balance scorecard to identify weaknesses and advantages of the related supply chain system through the identification of key performance indicators of the passion fruit agro-industry supply chain performance. This research method uses survey methods with descriptive observational techniques. The results determined 18 relevant KPIs were used to measure the performance of the passion fruit agro industry supply chain by using a Balance Score Card and the customer perspective was the priority as evidenced by 3 KPIs in the highest order of their respective weights: 1) the level of customer satisfaction (C2) with weight 0.1098, 2) quality improvement (C1) with a weight of 0.0897 and 3) level of customer interest in environmentally friendly products (C4) with a weight of 0.0801 and the performance of the passion fruit agro-industry supply chain 4.3228 (good enough). 

2021 ◽  
Vol 2 ◽  
Author(s):  
Davidson de Almeida Santos ◽  
Osvaldo Luiz Gonçalves Quelhas ◽  
Carlos Francisco Simões Gomes ◽  
José Rodrigues de Farias Filho

Environmental impacts due to supply chains are seen as a challenge to innovation and criteria for prioritizing the application of organizational resources. In this context, the research question arises: how to build the necessary knowledge about supply chain performance indicators in sustainability, systematizing in an evaluation process integrated with the organizational results? The general objective of this research is to build an integrated system of sustainability performance analysis of the supply chain. In order to achieve the general objective, the specific objectives are the following: (i) selection of the bibliographic portfolio and (ii) analysis of articles content. The exploratory-descriptive research method presents and illustrates a structured process for the selection of scientific articles on supply chain performance indicators in the sustainability context. The method identified the most important keywords and the main databases of full texts and abstracts aligned with the topic. An important review of the literature reveals that efforts to improve or influence the practice of sustainability in the supply chain raise critical questions about the transaction costs and effectiveness of the approach. The review promoted the development of a system of indicators inspired by the Balanced ScorCard (BSC) to address sustainability performance issues. The originality or value lies on the useful for managers throughout the supply chain. It was identified in the literature that supply chains still generate significant environmental impacts, social impacts, and use of natural resources, even though they individually present statements in their strategies and accountability indicating the priority regarding the mitigation of social, environmental, and economic impacts. Another finding is that it is not just a matter of complying with legal and institutional frameworks. The scientific literature defines the need to prioritize studies on Green Supply Chain Management (GSCM), which helps organizations in the production chain to achieve competitiveness and at the same time emphasize the reduction of social risks and environmental impacts. The main findings of the paper are related to the possibility of interfacing the dimensions present in TBL with performance measurement in a supply chain.


2018 ◽  
Vol 5 (01) ◽  
pp. 1 ◽  
Author(s):  
Afifa Sucihana Ismadhia ◽  
Ari Yanuar Ridwan ◽  
Rosad Ma’ali El Hadi

A green supply chain performance measurement system is needed to manage the environmental risks that are often being the major issues of industry. Claim from the government to implement the green supply chain system will certainly be a boost to major industries in Indonesia. As for PT. Elco lndonesia Sejahtera, to create an industry that applies green perspective in the industry, of course PT. EIS requires a model of its own enterprise performance measurement system design. Therefore, this study aims to design a performance measurement system from Green Sales and Distribution in the supply chain of leather tanning industry. The model used as a tool for designing performance measurement systems from the supply chain is Green SCOR model. The conceptual model is designed by involving activities such as stakeholder identification, needs analysis of green stakeholders, green destination identification, and KPI weighting. The supply chain operation reference metric (SCOR) is applied to identify key performance indicators (KPIs). The weight of the KPI is determined using the AHP method. The results of this study are six green objectives and also fifteen Key Performance indicators under it. Green objectives and Key performance can help companies to improve the performance of Green Sales and Distribution in the company.


2018 ◽  
Author(s):  
Seminar Nasional Multidisiplin Ilmu 2017 ◽  
Kimberly Febrina

Passion fruit syrup is one of a typical and famous fruit as the souvenir in the form of processed products from North Sumatra Province, especially Medan City. Nowadays, the sustainability of processed products of passion fruit syrup is facing an increasingly competitive market. It is therefore necessary to measure the performance of a superior supply chain supported by the procurement of raw materials that are managed effectively and efficiently. Supply chain performance is an indicator of the success of agroindustry companies in running their business processes. Performance measurement of agroindustry supply chain is needed to control and to determine the performance position of agroindustry produced. The purpose of this study was to identify and analyze the conditions of the supply chain of passion fruit syrup agroindustry and to measure the supply chain performance of passion fruit syrup agroindustry in North Sumatra Province. The method for analyzing the conditions of the supply chain of passion fruit syrup agroindustry used a long-term relationship approach. To measure the performance of the agro-industry supply chain, the Supply Chain Operation Reference (SCOR) and AHP approach were used. The results showed that the supply chain performance of passion fruit syrup agroindustry in North Sumatra Province was 76.90% and categorized medium indicating that coordination among actors in the supply chain has not been well established


2017 ◽  
pp. 1316-1329
Author(s):  
Rajwinder Singh ◽  
Ajit Pal Singh ◽  
Bhimaraya A. Metri

The Non-livestock products include Horticulture products (flowers, fruits, nuts, vegetables and medicinal plants) and Agriculture products (Crops like; rice, cotton, wheat). These items share the maximum sale of the farm products. Unfortunately, the farm production in India has witnessed a huge wastage. It has attracted the attention of many practitioners and policy makers. Witnessing the opportunity many organized retail players have entered the arena to sell farm products. However, the supply chain (SC) performance measurement has remained the major challenge as “No measurement no improvement”. Many organizations are searching for an efficient SC performance measurement system. Our study recommends that the SC performance shall be improved by developing a SC strategy based on a limited set of key performance indicators (KPI). Otherwise, managers shall waste time and resources on the undesirable performance indicators. We have identified and classified the KPI for non-livestock retailing SC management into five groups. These are 1) Customer Attraction Metrics (product quality, product personality, process quality); 2) Inventory Metrics (fill rate, customer response time, return adjustment, spoilage adjustment, and Vendor managed inventory); 3) Attractiveness Metrics (inventory cost, distribution cost, Return on investment, stakeholder value, sales profit and channel flexibility); 4) Transportation Metrics (shipping errors, and volume flexibility); and 5) Customer Metrics (lead time, delivery flexibility, and backorder flexibility). This grouping shall help the practitioners to focus on a limited set of KPI for better management of supply chains.


2011 ◽  
Vol 9 (1) ◽  
pp. 16-24
Author(s):  
Yunia Dwie Nurcahyanie

Untuk menjamin kualitas pendidikan di Program Studi Teknik Industri Universitas PGRI Adi Buana surabaya, diperlukan sebuah rancangan sistem pengukuran kinerja (SPK) yang terintegrasi dengan metode IPMS (Integrated Performance Measurement Systems). Dengan metode IPMS, Key Performance Indicators (KPI) Program Studi Teknik Industri ditentukan berdasarkan stakeholder requirement melalui empat tahapan yaitu; identifikasi stakeholder requirement, external monitor, penetapan objectives, dan identifikasi KPIs. Hasil perancangan SPK di Program Studi Teknik Industri Universitas PGRI Adi Buana Surabaya, dapat mengidentifikasi 26 KPIs yang dikelompokkan dalam 9 kriteria kinerja Program Studi Teknik Industri, yaitu; kurikulum, mahasiswa, finansial, SDM, administrasi akademik, proses belajar mengajar, lulusan, evaluasi dan pengendalian, dan masyarakat


Author(s):  
Sara Elgazzar ◽  
Nicoleta Tipi ◽  
Glynis Jones

Purpose The purpose of this paper is to conduct a review of the literature that gives insight into design elements for constructing a supply chain performance measurement (SCPM) system. Design/methodology/approach A systematic review of published research on SCPM systems and frameworks over the last two decades was conducted with the purpose of categorising key functions of SCPM systems by providing an insight into the design, functionality, implementation and practical implications of SCPM systems. Findings The review revealed a set of functions governing the SCPM system that have not been fully explored in previous research: the process focus, prioritisation, integration and causality functions of a SCPM system. A relationship between two or more functions can be created to include more functionality based on the needs of the company to create a comprehensive performance measurement system. Research limitations/implications The paper concludes with a conceptual framework to guide future research in the area of designing a SCPM system and define the main aspects that should be considered when developing a SCPM system. Practical implications The paper brings a new dimension to the SCPM research by identifying the main functions of SCPM systems that could benefit practitioners to set up a SCPM system relevant to its intended function. The paper presents multiple potential stages of merging different functions in one SCPM system. Based on the company’s needs and context, the functionality of the SCPM system can be designed at four levels creating ten possible scenarios when designing a company’s SCPM system. Originality/value The paper integrated the literature and findings of 269 research papers of the last two decades, upon which a conceptual framework was developed as a guide for constructing an effective SCPM system.


Author(s):  
Rajwinder Singh ◽  
Ajit Pal Singh ◽  
Bhimaraya A. Metri

The Non-livestock products include Horticulture products (flowers, fruits, nuts, vegetables and medicinal plants) and Agriculture products (Crops like; rice, cotton, wheat). These items share the maximum sale of the farm products. Unfortunately, the farm production in India has witnessed a huge wastage. It has attracted the attention of many practitioners and policy makers. Witnessing the opportunity many organized retail players have entered the arena to sell farm products. However, the supply chain (SC) performance measurement has remained the major challenge as “No measurement no improvement”. Many organizations are searching for an efficient SC performance measurement system. Our study recommends that the SC performance shall be improved by developing a SC strategy based on a limited set of key performance indicators (KPI). Otherwise, managers shall waste time and resources on the undesirable performance indicators. We have identified and classified the KPI for non-livestock retailing SC management into five groups. These are 1) Customer Attraction Metrics (product quality, product personality, process quality); 2) Inventory Metrics (fill rate, customer response time, return adjustment, spoilage adjustment, and Vendor managed inventory); 3) Attractiveness Metrics (inventory cost, distribution cost, Return on investment, stakeholder value, sales profit and channel flexibility); 4) Transportation Metrics (shipping errors, and volume flexibility); and 5) Customer Metrics (lead time, delivery flexibility, and backorder flexibility). This grouping shall help the practitioners to focus on a limited set of KPI for better management of supply chains.


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