Abstract

Autonomous decision-making in this study is defined as the process where decision-makers have the freedom and ability to find problems, select goals, and make decisions for achieving the selected problems/goals by themselves. Autonomous behavior is considered significant for achieving decision implementation, especially in the context of energy and environmental management, where multiple stakeholders are involved and each stakeholder holds valuable local information for making decisions. This paper aims to build a structured process in modeling the autonomous decision-making. A practical decision-making process in waste-to-energy conversion activities in a community in Bandung, Indonesia, is selected as a case study. The decision-making process here is considered as a discrete event system, which is then represented as a Petri-net model. First, the decision-making process in the case study is decomposed into discrete events or decision-making stages, and the stakeholders’ properties in each stage are extracted from the case study. Second, several stakeholder properties that indicate autonomous behavior are identified as autonomous properties. Third, presented is a method to develop the decision-making process as a Petri-net model. The model is utilized for identifying the critical points for verifying the performance of the derived Petri-net.

Highlights

  • The recent global agenda and technological challenges for creating a more sustainable environment have encouraged countries around the world to gradually shift towards sustainable energy transitions

  • The autonomous decision-making model in this paper is developed as a discrete event system, and this paper presents the method to build such a model

  • This study considers that each decision-maker is seen as an autonomous system, or in other words, autonomy is a property of each stakeholder who participates in the decision-making process

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Summary

Introduction

The recent global agenda and technological challenges for creating a more sustainable environment have encouraged countries around the world to gradually shift towards sustainable energy transitions. The emergence of new technologies, such as smart grids and source-centered renewable energies, have expanded the potential and requirements of energy generation and management in ways that have not been available previously. These facts suggest that the energy system is likely to become more distributed and localized, the decision-making and policy-making process in the energy sector should be adjusted to follow this future tendency [2]. Various decision-making approaches for reaching an easy consensus, as well as for achieving successful implementation, have been proposed. Two common approaches in decision-making are with the centralized and the Challenges 2016, 7, 9; doi:10.3390/challe7010009 www.mdpi.com/journal/challenges

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