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An empirical study of collaborative capacity evaluation and scheduling optimization for a CPD project
Xiaolei Wang1,2, Tiejun Ci2, Sang-Bing Tsai3,4
1College of Logistics, Beijing Normal University Zhuhai, Zhuhai, China.
Abstract:
In a collaborative product design project, reasonable resource allocation can shorten the development cycle and reduce cost. Team capacity evaluation and a task-team scheduling model are presented. A collaborative team capacity model is constructed, and a 2-tuple linguistic method is used to evaluate the capacity of collaborative teams. Next, the matching degree between design task and collaborative team is defined. A collaborative product design scheduling model considering task-team matching is developed. Combined with the simulated annealing operator, based on the single-coding strategy, self-adaptive multi-point cross and mutation, an improved genetic algorithm is proposed to solve the model. Finally, a case study is presented to validate the method.
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