Preprint Article Version 1 This version is not peer-reviewed

Decision Support System Research on Forest Tending Problems Based on Process Management System

Version 1 : Received: 5 June 2019 / Approved: 10 June 2019 / Online: 10 June 2019 (10:32:09 CEST)

How to cite: Jing, H.; Wang, W.; Umutoni, A. Decision Support System Research on Forest Tending Problems Based on Process Management System. Preprints 2019, 2019060075 (doi: 10.20944/preprints201906.0075.v1). Jing, H.; Wang, W.; Umutoni, A. Decision Support System Research on Forest Tending Problems Based on Process Management System. Preprints 2019, 2019060075 (doi: 10.20944/preprints201906.0075.v1).

Abstract

In this study, the decision-making process management of forest tending in the forestry business is decentralized, and forest tending decision-making activities at different points in time are integrated by decision makers at different geographical locations. The decision-making process was analyzed and optimized from a system perspective. Based on the optimized decision-making process, a forest tending business group decision support system (FTGDSS) was established. We first reviewed and discussed the characteristics and development of the forest tending business and forestry decision support system. Business Process Modeling Notation was used to draw a current state flow chart of the forest tending business, to identify and discover important decision points in the process of tending decision-making. We also analyzed the content and attributes of each decision point, and described the system structure, functional framework, knowledge base structure, and reasoning algorithm of FTGDSS in detail. Finally, FTGDSS was evaluated from the two dimensions of the technology adoption model. FTGDSS integrates different levels of time-space decision-making activities, historical tending data, business plans, decision-makers' management tendencies into the decision-making process and automatically extracts decision-making data from the forest business process management enterprise resource planning system (Smartforest) that improves the ease of use of the decision support system (DSS). It also improves the quality of forest tending decisions, and enables the DSS to better support multi-target management strategies.

Subject Areas

forest tending; group decision support system; process management; data integration

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