| Title |
Sustainability-aware collaborative service composition and recommendation based on multi-attribute correlations |
| ID_Doc |
68287 |
| Authors |
Liu, XH; Deng, QW; Huo, ZW; Liu, SB; Luo, Q; Jiang, C |
| Title |
Sustainability-aware collaborative service composition and recommendation based on multi-attribute correlations |
| Year |
2024 |
| Published |
|
| DOI |
10.1016/j.eswa.2023.122642 |
| Abstract |
In the context of network collaborative manufacturing and green manufacturing, some researchers have begun to focus on collaboration-awareness or sustainability-awareness service composition separately. However, service collaboration and sustainable performance are interrelated in the service business implementation, so they should be considered simultaneously when establishing service composition to ensure efficient service delivery. In this study, a sustainability-aware collaborative service composition and service recommendation (SCSR) model is formulated, aiming to pursue maximum customer service quality, as well as the synergy effect and ecoefficiency of combined services. Given the interdependencies inherent in service attributes, DEMATEL (Decision Making Trial and Evaluation Laboratory) is presented to acquire the influential weights for aggregating multiple service attributes into the service decisions. To recommend suitable composite services for core enterprises, NSGA-II with two initialization methods and three neighborhood structures is first proposed to produce high quality solution sets regarding service composition. Then TODIM (an acronym in Portuguese of Interactive and Multi-Criteria Decision Making) is utilized to evaluate the relative dominance of these service composition alternatives under the psychological behavior of the decision-maker. Numerous experiments demonstrate the effectiveness of the improved NSGA-II in handing the SCSR issue. Furthermore, the necessity of considering attribute interrelationships and synergy effects in service composition is verified. |
| Author Keywords |
Collaboration; Sustainability; Service selection; Service composition; Attribute correlation |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:001125894900001 |
| WoS Category |
Computer Science, Artificial Intelligence; Engineering, Electrical & Electronic; Operations Research & Management Science |
| Research Area |
Computer Science; Engineering; Operations Research & Management Science |
| PDF |
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