A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Information flow-centric approach for reverse logistics supply chains
Abstract Reverse logistics supply chain (RLSC) helps resources recovery at the End-of-life (EoL) of buildings. However, there is a huge potential for improving the existing RLSC through systematic information management. Very little research has been carried out on the interactions between RLSC operations and information needs for an efficient and effective resources recovery process. This study proposes a conceptual model of a building information model that could effectively address the information needs during demolition, testing, grading and reprocessing of salvaged materials. The study uses semi-structured interviews and action research to identify information needs and Building Information Modelling (BIM) functionalities to develop the conceptual model using an Application Programming Interface (API) plug-in. The model when fully developed can extract the volumes of salvage, sorting, testing, reprocessing and integrate that information for optimised resources recovery. The extracted information in a single platform can help demolition planners and recyclers to design downstream operations, particularly testing and grading of salvaged products enabling an information flow-centric reverse logistics supply chain.
Highlights A conceptual model for accommodating the modelling of RLSC operations within BIM through the application programming interface (API) plug-in is presented. An algorithm for extracting the volumes and weights of the CDW and recyclable materials is applied at the API plug-in. The stages necessary for the analysis of the materials in the API plug-in software and associated formulae are outlined. Public Website offers the best solution for adoption of the API plug-in by the end-users. Expert opinion assessed the information needs and BIM functionalities for the proposed conceptual model
Information flow-centric approach for reverse logistics supply chains
Abstract Reverse logistics supply chain (RLSC) helps resources recovery at the End-of-life (EoL) of buildings. However, there is a huge potential for improving the existing RLSC through systematic information management. Very little research has been carried out on the interactions between RLSC operations and information needs for an efficient and effective resources recovery process. This study proposes a conceptual model of a building information model that could effectively address the information needs during demolition, testing, grading and reprocessing of salvaged materials. The study uses semi-structured interviews and action research to identify information needs and Building Information Modelling (BIM) functionalities to develop the conceptual model using an Application Programming Interface (API) plug-in. The model when fully developed can extract the volumes of salvage, sorting, testing, reprocessing and integrate that information for optimised resources recovery. The extracted information in a single platform can help demolition planners and recyclers to design downstream operations, particularly testing and grading of salvaged products enabling an information flow-centric reverse logistics supply chain.
Highlights A conceptual model for accommodating the modelling of RLSC operations within BIM through the application programming interface (API) plug-in is presented. An algorithm for extracting the volumes and weights of the CDW and recyclable materials is applied at the API plug-in. The stages necessary for the analysis of the materials in the API plug-in software and associated formulae are outlined. Public Website offers the best solution for adoption of the API plug-in by the end-users. Expert opinion assessed the information needs and BIM functionalities for the proposed conceptual model
Information flow-centric approach for reverse logistics supply chains
Chileshe, Nicholas (author) / Jayasinghe, Ruchini Senerath (author) / Rameezdeen, Raufdeen (author)
2019-05-30
Article (Journal)
Electronic Resource
English
| DOAJ | 2020
| Emerald Group Publishing | 2023
Logistics simulation modelling across construction supply chains
| Online Contents | 2011