Published Date
Procedia Computer Science
2016, Vol.83:734–741, doi:10.1016/j.procs.2016.04.161
The 7th International Conference on Ambient Systems, Networks and Technologies (ANT 2016) / The 6th International Conference on Sustainable Energy Information Technology (SEIT-2016) / Affiliated Workshops
Open Access, Creative Commons license
Author
Abstract
Although there were stated in theory, in practice, there are some factors that limiting the recycling practices in the furniture industry. These include the geographical location of the waste resources which is restricting the integration of the companies that generate the waste and those that ultimately use it. Based on this condition, the purpose of this study is to develop the application internet based Geographical Information Systems (or internet GIS) as a decision support system in analyzing geospatial data for wood waste collection and transportation in the furniture industry. This application is aimed at encouraging the implementation of green supply chain management (GSCM) practice in the furniture industry through making the process of collecting and transporting the wood waste for recycling process easier. This study has used Software Development Life Cycle (SDLC) process as a tool for designing the proposed application of internet GIS. There were several Small and Medium Enterprises (SMEs) in the furniture industry and collector of wood waste in Jepara and Surakarta district attached in the proposed application as a preliminary of object for the application. This study resulted that, as a decision support system, the implementation of internet of GIS by the SMEs in the furniture industry and collector of wood waste allowing them to describe the geographical location of each party and then, based on the certain criteria, the system will rank the recommended SMEs as the producer of wood waste based on the minimum cost of collecting and transporting the wood waste from each of SMEs.
Keywords
internet GIS
SMEs furniture
wood waste collector
Jepara
Surakarta
http://www.sciencedirect.com/science/article/pii/S1877050916301946
Procedia Computer Science
2016, Vol.83:734–741, doi:10.1016/j.procs.2016.04.161
The 7th International Conference on Ambient Systems, Networks and Technologies (ANT 2016) / The 6th International Conference on Sustainable Energy Information Technology (SEIT-2016) / Affiliated Workshops
Open Access, Creative Commons license
Author
Available online 12 May 2016.
Abstract
Although there were stated in theory, in practice, there are some factors that limiting the recycling practices in the furniture industry. These include the geographical location of the waste resources which is restricting the integration of the companies that generate the waste and those that ultimately use it. Based on this condition, the purpose of this study is to develop the application internet based Geographical Information Systems (or internet GIS) as a decision support system in analyzing geospatial data for wood waste collection and transportation in the furniture industry. This application is aimed at encouraging the implementation of green supply chain management (GSCM) practice in the furniture industry through making the process of collecting and transporting the wood waste for recycling process easier. This study has used Software Development Life Cycle (SDLC) process as a tool for designing the proposed application of internet GIS. There were several Small and Medium Enterprises (SMEs) in the furniture industry and collector of wood waste in Jepara and Surakarta district attached in the proposed application as a preliminary of object for the application. This study resulted that, as a decision support system, the implementation of internet of GIS by the SMEs in the furniture industry and collector of wood waste allowing them to describe the geographical location of each party and then, based on the certain criteria, the system will rank the recommended SMEs as the producer of wood waste based on the minimum cost of collecting and transporting the wood waste from each of SMEs.
Keywords
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- ⁎ Corresponding author. Tel.: +62-24-7460052; fax: +62-24-7460052.
© 2016 The Author(s). Published by Elsevier B.V.
http://www.sciencedirect.com/science/article/pii/S1877050916301946
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