著者

Prilandita Niken McLellan Benjamin C Tezuka Tetsuo

出版者

SustaiN Society

雑誌

International Journal of Sustainable Future for Human Security (ISSN:21874506)

巻号頁・発行日

vol.3, no.2, pp.3-17, 2015

被引用文献数

1

---

Autonomous decision-making in this study is defined as the process whereby decision-makers autonomously find problems/goals and make decisions for achieving the selected problems/goals. It is performed in a responsible manner based on the information available. For renewable energy use or waste management, decentralized autonomous decision-making is considered to be effective, since local information related to energy demand and renewable energy use are indispensable for effective policy design. However, it is difficult to design policies for promoting effective autonomous decision-making, because there are various stakeholders who can independently make decisions regarding these issues, and they interact between each level within the hierarchical structure. This study aims to identify the autonomous decision-making process within a series of case studies, and is then analyzed to evaluate the contribution of each decision to achieving the goal. The local activities related to energy and/or environment in Rukun Warga (RW) communities are selected as case studies. Although a project/activity has been designed for the community, related decisionmaking is considered across every level of the hierarchy. A framework for autonomous properties identification is developed. Using four main steps in the framework, five communities in several Indonesian cities are investigated and described by using Petri-net. The framework developed in this study is utilized for identifying and extracting autonomous properties in practical decisionmaking processes.

著者

Prilandita Niken McLellan Benjamin Tezuka Tetsuo

出版者

MDPI AG

雑誌

Challenges (ISSN:20781547)

巻号頁・発行日

vol.7, no.1, 2016-04-14

被引用文献数

3

---

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.

著者

Prilandita Niken McLellan Benjamin Tezuka Tetsuo

出版者

MDPI AG

雑誌

Sustainability (Switzerland) (ISSN:20711050)

巻号頁・発行日

vol.9, no.1, 2017-01-09

被引用文献数

4

---

This paper develops an evaluation method for assessing autonomous decision-making performance and demonstrates it using a case study. Focusing on community decision-making practice in energy-environmental innovation projects, a decision-making model is developed using Petri-net. This empirical model is then expanded to be able to accommodate autonomous properties and more pathways to reach various decision-making outcomes. The autonomous decision-making performance evaluation is employed by simulating the impact of various levels of autonomous conditions using the expanded model stochastically. Those results are further divided into six categories, based on the conditions (autonomous, semi-autonomous, and non-autonomous) and decision outcomes (fully successful, moderately successful, and failed). For each category, the specific stakeholders' properties are analysed and explained. The categorised conditions are useful for estimating the outcomes of the particular community decision-making practice based on the stakeholders' properties. The model can be modified in order to pre-evaluate other energy and environmental related decision-making.