An empirical study of collaborative capacity evaluation and scheduling optimization for a CPD project

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.

[1]  Yibing Li,et al.  Process planning for collaborative product development with CD-DSM in optoelectronic enterprises , 2012, Adv. Eng. Informatics.

[2]  Aijun Liu,et al.  Novel Two-Phase Approach for Process Optimization of Customer Collaborative Design Based on Fuzzy-QFD and DSM , 2017, IEEE Transactions on Engineering Management.

[3]  Chuei-Tin Chang,et al.  Petri-net based scheduling strategy for semiconductor manufacturing processes , 2011 .

[4]  Li Ying-z.  Multi-agent resource allocation in collaborative product development process , 2013 .

[5]  Koorush Ziarati,et al.  Using Artificial Bee Colony to Solve Stochastic Resource Constrained Project Scheduling Problem , 2011, ICSI.

[6]  Gui-Wu Wei,et al.  A method for multiple attribute group decision making based on the ET-WG and ET-OWG operators with 2-tuple linguistic information , 2010, Expert Syst. Appl..

[7]  Bart Koopman,et al.  The effect of tyre and rider properties on the stability of a bicycle , 2015 .

[8]  He Yu'an,et al.  A Matching Approach of Manufacturing Tasks and Services based on Ontology in Manufacturing Grid , 2012 .

[9]  Shih-Pin Chen,et al.  Time-cost trade-off analysis of project networks in fuzzy environments , 2011, Eur. J. Oper. Res..

[10]  Francisco Herrera,et al.  Managing non-homogeneous information in group decision making , 2005, Eur. J. Oper. Res..

[11]  Pedro Saramago,et al.  Cost-effectiveness of adjunct non-pharmacological interventions for osteoarthritis of the knee , 2017, PloS one.

[12]  Sharron A. Frillman,et al.  Entry-level engineering professionals and Product Lifecycle Management: a competency model , 2010, Int. J. Manuf. Technol. Manag..

[13]  Yi Liu,et al.  Production scheduling optimization method based on hybrid particle swarm optimization algorithm , 2018, J. Intell. Fuzzy Syst..

[14]  Qin Xian-sheng,et al.  Study on Resource Capability Measure and Its Optimal Deployment in Product Development Process , 2011 .

[15]  Mostafa Zandieh,et al.  A biogeography-based optimization algorithm for order acceptance and scheduling , 2017 .

[16]  Qingyu Zhang,et al.  Supply chain collaboration: conceptualisation and instrument development , 2010 .

[17]  Aijun Liu,et al.  Scheduling optimization of task allocation in integrated manufacturing system based on task decomposition , 2016 .

[18]  Yang Yu,et al.  Evolution model of collaborative production task responding to unplanned perturbations , 2016, J. Intell. Fuzzy Syst..

[19]  Sabrina Ahmad,et al.  Requirements Negotiation: Does Consensus Reduce Software Development Cost? , 2012 .

[20]  Yong Deng,et al.  Evidential Supplier Selection Based on DEMATEL and Game Theory , 2018, Int. J. Fuzzy Syst..

[21]  Shuo Zhang,et al.  Static scheduling in consideration of resource categories in collaborative product development project , 2015 .

[22]  Absalom E Ezugwu,et al.  An improved ant colony optimization algorithm with fault tolerance for job scheduling in grid computing systems , 2017, PloS one.

[23]  Francisco Herrera,et al.  A 2-tuple fuzzy linguistic representation model for computing with words , 2000, IEEE Trans. Fuzzy Syst..

[24]  Patrizia Beraldi,et al.  A heuristic approach for resource constrained project scheduling with uncertain activity durations , 2011, Comput. Oper. Res..

[25]  Fuad E. Alsaadi,et al.  Bipolar Fuzzy Hamacher Aggregation Operators in Multiple Attribute Decision Making , 2017, International Journal of Fuzzy Systems.

[26]  Zhao Yong.  Research on task scheduling method of cooperative design , 2008 .