Abstract
It is well-recognized that obsolete or discarded products can cause serious environmental pollution if they are poorly be handled. They contain reusable resource that can be recycled and used to generate desired economic benefits. Therefore, performing their efficient disassembly is highly important in green manufacturing and sustainable economic development. Their typical examples are electronic appliances and electromechanical/mechanical products. This paper presents a survey on the state of the art of disassembly sequence planning. It can help new researchers or decision makers to search for the right solution for optimal disassembly planning. It reviews the disassembly theory and methods that are applied for the processing, repair, and maintenance of obsolete/discarded products. This paper discusses the recent progress of disassembly sequencing planning in four major aspects: product disassembly modeling methods, mathematical programming methods, artificial intelligence methods, and uncertainty handling. This survey should stimulate readers to be engaged in the research, development and applications of disassembly and remanufacturing methodologies in the Industry 4.0 era.
| Original language | English (US) |
|---|---|
| Article number | 9269520 |
| Pages (from-to) | 1308-1324 |
| Number of pages | 17 |
| Journal | IEEE/CAA Journal of Automatica Sinica |
| Volume | 8 |
| Issue number | 7 |
| DOIs | |
| State | Published - Jul 2021 |
All Science Journal Classification (ASJC) codes
- Control and Optimization
- Artificial Intelligence
- Information Systems
- Control and Systems Engineering
Keywords
- Artificial intelligence (AI)
- disassembly sequence planning (DSP)
- intelligent optimization
- modeling methods
- multiobjective optimization
- single-objective optimization
- uncertainty