## 3 Results Analysis
### Dismantling and Recycling Stage
#### 3.10.1 Specific Analysis of the Dismantling and Recycling Stage
[PERSON] et al. [140] also proposed an alternative optimization method for building selective demolition planning by using network analysis, and their method was called disassembly network analysis, a selective hybrid demolition sequence planning method [141]. In addition, [PERSON] and [PERSON] proposed a fuzzy logic model to solve the optimal recovery value estimation and demolition depth using a genetic algorithm [142]. Finally, [PERSON] et al. [143] extensively reviewed recent developments and future trends in manufacturing product disassembly planning. They examined the characteristics of different methods and summarized three aspects of the disassembly approach: disassembly modeling and planning methods. With the development of the times, the disassembly information can be determined automatically by the volumetric and geometric analysis of cad-based disassembly models of finished products [144]. The disassembly sequence can be planned to extract defective parts [145] better. However, the disassembly sequence planning still needs to be more efficient due to incomplete information between assemblies and subassemblies [146]. Therefore, disassembly planning still requires manual intervention to determine the interrelationships between components [129]. Therefore, a new framework for the selective disassembly of buildings based on a disassembly graph model was developed [130]. However, the critical topological interrelationships of the building components are still inseparable from manual intervention, which can lead to reduced efficiency [129]. The new technology of MOC prefabrication of piping systems using threaded couplings, flange couplings, or grooved couplings holds incredible promise for the future, as the piping components connected through these three approaches are removable [55]. Some can be dismantled using modern automated dismantling [147], including mechanical shredding and automatic separation of raw materials [148]. Another critical issue in dismantling and recycling is the exchange of data between manufacturers and dismantling and recycling plants [149]. For this problem, storing the material content information in a code is possible by describing the problem of direct information exchange between the manufacturer and the dismantling plant regarding the material content [97]. Then, it can be used in the dismantling stage for recycling. RFID (Radio Frequency Identification) and Global Positioning Systems in solid waste management can also be considered [150], and RFID systems can help with collection and sorting [151]. The data are sent to the dismantling or remanufacturing plant via the Internet [152]. Afterretrieving this data in real-time during the dismantling process, there is an option to use an automated decision-making system to decide what to do with the components [153]. Analyzing renewable use through the cost aspect, we learned that the use of recycled components not only produces fewer carbon emissions than the use of new components when the transportation distance is less than 1800 km but also has a lower economic cost [154]. The life-cycle environmental and economic benefits of reusing structural components of assembled electromechanical systems were demonstrated [155].