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A Prototype Decision Support System for Sustainability Performance Measurement in Furniture Industry
Author(s) -
Sriyanto Sriyanto,
Darminto Pujotomo,
Sri Hartini
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/598/1/012094
Subject(s) - sustainability , triple bottom line , process management , decision support system , measure (data warehouse) , manufacturing , performance indicator , computer science , business , manufacturing engineering , engineering , marketing , database , ecology , artificial intelligence , biology
In measuring sustainability performance of a manufacturing system, a manager needs a practical tool to assess relevant sustainability indicators. This research aims to develop a decision support system (DSS) to measure, evaluate and improve the existing manufacturing operations toward sustainability goals. The DSS incorporates a manufacturing sustainability model that measures current manufacturing performance in Triple Bottom Line aspects comprehensively. The system provides a single index with workable indicators encompassed economic, environmental, and social dimensions. These indicators generated specifically for furniture industry in Indonesia. The DSS prototype, called EvaSus, designed as an interactive tool that helps manager to get comprehensive evaluation of the manufacturing sustainability, thus providing a way to improve the business processes.

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