Green supply chain management related performance indicators in agro industry: A review

2017 ◽  
Vol 141 ◽  
pp. 1194-1208 ◽  
Author(s):  
Vijay Kumar Sharma ◽  
Pankaj Chandna ◽  
Arvind Bhardwaj
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Performance Indicators ◽  
Green Supply Chain Management ◽  
Green Supply Chain ◽  
Chain Management

scholarly journals ANALYSIS OF PRODUCTION PERFORMANCE BASED ON GREEN SUPPLY CHAIN MANAGEMENT CRITERIA

2020 ◽  
Vol 1 (6) ◽  
pp. 878-890
Author(s):  
Yudiansyah Yudiansyah ◽  
Tukhas Shilul Imaroh
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Production Process ◽  
Performance Indicators ◽  
Production Costs ◽  
Green Supply Chain Management ◽  
Green Supply Chain ◽  
Management Performance ◽  
Chain Management ◽  
Negative Impacts

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.

scholarly journals Pengukuran Kinerja Green Supply Chain Management Pada Industri Penyamakan Kulit Yogyakarta

2019 ◽  
Vol 18 (2) ◽  
pp. 161-169
Author(s):  
Hari Purnomo ◽  
Alex Kisanjani ◽  
Wahyu Ismail Kurnia ◽  
Sigit Suwarto
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Performance Indicators ◽  
Manufacturing Systems ◽  
Green Supply Chain Management ◽  
Green Supply Chain ◽  
Process Data ◽  
Chain Management ◽  
Leather Tanning ◽  
Tanning Industry

The application of GSCM (Green Supply Chain Management) practice in the leather tanning industry in Yogyakarta is still relatively difficult because the industry prefers manufacturing systems that can accelerate profit uplift without considering environmental quality. Therefore, this research attempts to measure GSCM performance applied in the leather tanning industry, particularly at PT. Asa Yogyakarta. The method used in this research is Green SCOR (Green Supply Chain Operations Reference) and AHP (Analytical Hierarchy Process). Data collection in this research was by identifying the company's GSCM activities, then compiling performance indicators that refer to the green SCOR method. Weighting performance indicators are conducted to determine the importance of each performance indicator by using the AHP method. The results of this research indicate that the application of GSCM is quite good with the average value of the total GSCM performance >90, despite several improvements that are necessary to enhance the performance.

Exploring the key performance indicators of green supply chain management in agro-industry

2019 ◽  
Vol 14 (1) ◽  
pp. 260-283 ◽  
Author(s):  
Bhaskar Gardas ◽  
Rakesh Raut ◽  
Annasaheb H. Jagtap ◽  
Balkrishna Narkhede
Keyword(s):  
Supply Chain ◽  
Food Security ◽  
Supply Chain Management ◽  
Performance Indicators ◽  
Structural Model ◽  
Green Supply Chain Management ◽  
Green Supply Chain ◽  
Chain Management ◽  
Content Type ◽  
The Government

PurposeThe issue of food security is one of the critical global challenges. The Government and the industries have begun apprehending the importance of green supply chain management (GSCM) implementation in their supply chains. There are various drivers or performance indicators (PIs) of GSCM in the agro-sector. This paper aims to analyse 14 PIs using an interpretive structural modelling (ISM) approach.Design/methodology/approachIn this study, the PIs of GSCM were identified through a literature survey and opinions of field experts. The identified 14 PIs were modelled by applying an ISM methodology for establishing the interrelationship between the PIs and to identify the PIs having high influential power.FindingsThe result of the investigation underlined that three PIs, namely, environmental management (PI 1), regulatory pressure (PI 3) and competitive pressure (PI 2) are the significant PIs having high driving power.Research limitations/implicationsThe experts’ judgments were used for the development of the structural model, which could be biased influencing the reliability of the model. Also, only 14 significant PIs were considered for the analysis. This research is intended to help the policymakers, managers and supply chain designers in the food industry and in agribusiness in formulating the policies and strategies for achieving food security, conservation of the environmental resources and for improving the financial performance of the industry.Originality/valueIt is pioneering research focusing on the analysis of the PIs towards the implementation of GSCM in the Indian agro-industries context using an ISM approach. This research adds value to the existing knowledge base by identifying the crucial PIs, exploring their mutual relationship and highlighting their level of influence in the case sector.

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