Research Article
Evaluation of Green Warehouse Performance Indicators Using Analytical Hierarchy Process and Objective Matrix (Case Study: PLN Cilegon)
@INPROCEEDINGS{10.4108/eai.31-3-2022.2320958, author={Yelita Anggiane Iskandar and Mega Rizkah Sudiar}, title={Evaluation of Green Warehouse Performance Indicators Using Analytical Hierarchy Process and Objective Matrix (Case Study: PLN Cilegon)}, proceedings={Proceedings of the 1st International Conference on Contemporary Risk Studies, ICONIC-RS 2022, 31 March-1 April 2022, South Jakarta, DKI Jakarta, Indonesia}, publisher={EAI}, proceedings_a={ICONIC-RS}, year={2022}, month={8}, keywords={performance indicators green warehouse analytical hierarchy process objective matrix traffic light system}, doi={10.4108/eai.31-3-2022.2320958} }- Yelita Anggiane Iskandar
Mega Rizkah Sudiar
Year: 2022
Evaluation of Green Warehouse Performance Indicators Using Analytical Hierarchy Process and Objective Matrix (Case Study: PLN Cilegon)
ICONIC-RS
EAI
DOI: 10.4108/eai.31-3-2022.2320958
Abstract
State electricity enterprise (PLN) as a state-owned enterprise in Indonesia is had and committed to support government's efforts to reduce greenhouse gas (GHG) emissions and to implement Sustainable Development Goals (SDGs) by managing all environmental aspects. To achieve PLN’s strategy in continuously providing the green-based energy and showing the evidence of compliance to the rules, it is necessary to evaluate its operational activities, including in the warehouse area by measuring the success of its green concept implementation. The evaluation was carried out by identifying the performance indicators currently implemented, determining the weight using the Analytical Hierarchy Process (AHP), assessing the productivity using the Objective Matrix (OMAX), and classifying the accomplishment with the Traffic Light System (TLS). Based on the data processing and analysis, there are 8 performance indicators found regarding the green warehouse concept: 2 good, 3 moderate, and 3 poor, they are related to waste, environmental management, emission control, building, materials, lighting energy consumption, handling equipment, and fuel use.