A HYBRID MULTI-CRITERIA DECISION-MAKING MODEL FOR ENERGY EFFICIENCY PRACTICES IN INDONESIA'S TEXTILE INDUSTRY

• Main Author: Hendra, Mulia
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/84850
• Institution: Institut Teknologi Bandung

Energy plays important role for the socioeconomic development of nations, espe- cially in manufacturing sectors like the textile industry. Energy consumption di- rectly affects production costs and market competitiveness. Therefore, implement- ing energy efficiency practices is crucial. However, implementation of energy ef- ficiency measures are complex management problems due to various influencing factors should be considered. The aim of this study is to develop a framework for evaluating energy efficien-cy practices in the textile industry by establishing evaluation criteria and employ-ing a hybrid multi-criteria decision-making (MCDM) model that accounts for the interrelationships among these criteria. Expert opinions were collected using the Delphi method to validate the evaluation criteria derived from the literature. A hy- brid MCDM model, combining the Decision-Making Trial and Evaluation La- boratory (DEMATEL) with the Analytic Network Process (ANP), was utilized to identify the interrelationships among the criteria and assign their weights. The key findings of the study are technical and economy are the most critical factors with the highest weights. The significant key technical criteria include 'Technical applica-bility,' and 'Technology accessibility'. Meanwhile, the 'Potential of economic savings' stands out as the most critical economic factor. Other important economic criteria include 'Implementation cost' and 'Operation and maintenance cost,' highlighting the financial aspects of adopting energy effi-ciency practices in the textile industry. This evaluation framework and hybrid model can serve as a decision-making tool across various sectors. The primary advantage of this model lies in its ability to account for the interrelationships among criteria, thereby enhancing its practical applicability.