Skip to main content
SpringerLink
Log in

Dual-process modeling and control method for new product collaborative design based on petri net

  • Original Research
  • Published:
Journal of Ambient Intelligence and Humanized Computing Aims and scope Submit manuscript

Abstract

With the increase of the complexity of new product design (NPD) and in order to adapt the competitive global market, enterprises are not only facing ensure product quality, they also facing how to shorten the design cycle as much as possible. In this context, how to improve NPD efficiency and quality is one of common aims in rapidly changing global market. This paper presents a dual-process modeling and control method for collaborative design of new products based on petri net for this reason. Firstly, the design process is divided into several design stages from the coarse-grained perspective, and the object petri net is established to make the whole design process in a collaborative environment. Secondly, the design relations among the design majors are analyzed from the perspective of fine granularity. This process transforms the complex relationships, establishes the specialty collaborative design meta model and simulates it. The work progress is quantitative analysis and feedback information is controlled based on object petri net. A design method based on factory mode is proposed to control process of design specialty collaboration, while a fuzzy comprehensive evaluation and evaluation compensation is proposed to confirm feedback information for adapting to the dynamic design process. Finally, a case is used to illustrate the method, which shows the effectiveness of the method.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15

Similar content being viewed by others

References

  • Amato A, Di Martino B, Venticinque S (2014) Agents based multi-criteria decision-aid. J Ambient Intell Hum Comput 5:747–758. https://doi.org/10.1007/s12652-013-0190-y

    Article  Google Scholar 

  • Arsenyan J, Buyukozkan G (2016) An integrated fuzzy approach for information technology planning in collaborative product development. Int J Prod Res 54(11):3149–3169

    Article  Google Scholar 

  • Castellano G, Cimino MGCA, Fanelli AM, Lazzerini B, Marcelloni F, Torsello MA (2013) A collaborative situation-aware scheme based on an emergent paradigm for mobile resource recommenders. J Ambient Intell Hum Comput 4:421–437. https://doi.org/10.1007/s12652-012-0126-y

    Article  Google Scholar 

  • Davidrajuh R (2013) Distributed workflow based approach for eliminating redundancy in virtual enterprising. J Supercomput 63(1):107–125

    Article  Google Scholar 

  • Dutra M, Ghodous P, Kuhn O, Tri NM (2010) A generic and synchronous ontology-based architecture for collaborative design. Concurr Eng Res Appl 18(1):65–74

    Article  Google Scholar 

  • Feyzioglu O, Buyukozkan G (2008) An integrated group decision-making approach for new product development. Int J Comput Integr Manuf 21(4):366–375

    Article  Google Scholar 

  • Fougeres A, Ostrosi E (2018) Intelligent agents for feature modelling in computer aided design. J Comput Des Eng 5(1):19–40

    Google Scholar 

  • Guo Y, Zeng J (2010) A temporal logic inference for collaborative product design process based on time constraint Petri nets. J Comput Aided Des Comput Graph 22(10):1824–1830

    Google Scholar 

  • Guo Y, Zeng J (2011a) Decision-making and controlling for products collaborative design implement process based on fuzzy Petri net. Procedia Eng 15:3032–3040

    Article  Google Scholar 

  • Guo Y, Zeng J (2011b) Process modeling in machinery products collaborative design based on mate model invoking. Comput Integr Manuf Syst 17(05):915–923

    Google Scholar 

  • Ha S, Suh H (2008) A timed colored Petri nets modeling for dynamic workflow in product development process. Comput Ind 59(2–3):193–209

    Article  Google Scholar 

  • Habhouba D, Cherkaoui S, Desrochers A (2011) Decision-making assistance in engineering-change management process. IEEE Trans Syst Man Cybern Part C Appl Rev 41(3):344–349

    Article  Google Scholar 

  • Ham N, Kim K, Kim J (2014) Application of extended collaborative process modeling (exCPM) for multi-disciplinary collaboration and coordination in planning phase. J Archit Inst Korea Plan Des 30(11):21–30

    Article  Google Scholar 

  • Hsieh FS (2015) Collaborative composition of production services in multi-agent systems based on auctions. 2015 International conference on intelligent networking and collaborative systems IEEE INCoS 2015, pp 62–69. https://doi.org/10.1109/INCoS.2015.17

  • Hsieh F, Lin J (2014) Context-aware workflow management for virtual enterprises based on coordination of agents. J Intell Manuf 25(3):393–412

    Article  Google Scholar 

  • Huang H, Xu H, Zu X (2010) Petri net-based coordination component for collaborative design. Concurr Eng Res Appl 18(3):199–205

    Article  Google Scholar 

  • Jiang P, Shao X, Qiu H, Li P (2008) Interoperability of cross-organizational workflows based on process-view for collaborative product development. Concurr Eng Res Appl 16(1):73–87

    Article  Google Scholar 

  • Jiao H-J, Zhang J, Li J-H et al (2014) Cloud workflow model for collaborative design based on hybrid Petri net. J Appl Sci 32(6):645–651

    Google Scholar 

  • Jing N, Lu SCY (2011) Modeling co-construction processes in a socio-technical framework to support collaborative engineering design. IEEE Trans Syst Man Cybern Part C Appl Rev 41(3):297–305

    Article  Google Scholar 

  • Karniel A, Reich Y (2011) Formalizing a workflow-net implementation of design-structure-matrix-based process planning for new product development. IEEE Trans Syst Man Cybern Part A Syst Hum 41(3):476–491

    Article  Google Scholar 

  • Karniel A, Reich Y (2013) Multi-level modelling and simulation of new product development processes. J Eng Des 24(3):185–210

    Article  Google Scholar 

  • Khan MTH, Demoly F, Kim KY (2016) Dynamic design intents capture with formal ontology and perdurants object concept for collaborative product design. 2016 International conference on collaboration technologies and systems (CTS), pp 90–96

  • Liang XD, Zhou WT, Liu AJ, Xue HM (2016) Collaborative product design for tasks sorting based on shortest delivery. Sci Program Neth. https://doi.org/10.1155/2016/9613293. Artn 9613293

    Article  Google Scholar 

  • Liu X, Peng G, Liu X, Hou Y (2010) Development of a collaborative virtual maintenance environment with agent technology. J Manuf Syst 29(4):173–181

    Article  Google Scholar 

  • Liu JF, Chen M, Yao Y, Kong QH (2011) Collaborative design strategy of product modularity based on multi-Agent. Comput Integr Manuf Syst 17(3):560–570

    Google Scholar 

  • Liu A, Hu H, Zhang X, Lei D (2017) Novel two-phase approach for process optimization of customer collaborative design based on fuzzy-QFD and DSM. IEEE Trans Eng Manag 64(2):193–207

    Article  Google Scholar 

  • Lu Y, Zhang L, Sun J (2009) Using colored Petri nets to model and analyze workflow with separation of duty constraints. Int J Adv Manuf Technol 40(1–2):179–192

    Article  Google Scholar 

  • Marey O, Bentahar J, Khosrowshahi-Asl E, Sultan K, Dssouli R (2015) Decision making under subjective uncertainty in argumentation-based agent negotiation. J Ambient Intell Hum Comput 6:307–323. https://doi.org/10.1007/s12652-015-0265-z

    Article  Google Scholar 

  • Mu W, Benaben F, Pingaud H (2016) Collaborative process cartography deduction based on collaborative ontology and model transformation. Inf Sci 334:83–102

    Article  Google Scholar 

  • Peng G, Mao H, Wang H, Zhang H (2016) BOM-based design knowledge representation and reasoning for collaborative product development. J Syst Sci Syst Eng 25(2):159–176

    Article  Google Scholar 

  • Sadeghi M, Noel F, Hadj-Hamou K (2010) Development of control mechanisms to support coherency of product model during cooperative design process. J Intell Manuf 21(4):539–554

    Article  Google Scholar 

  • Shankar R, Mittal N, Rabinowitz S, Baveja A, Acharia S (2013) A collaborative framework to minimise knowledge loss in new product development. Int J Prod Res 51(7SI):2049–2059

    Article  Google Scholar 

  • Siano P, Graditi G, Atrigna M, Piccolo A (2013) Designing and testing decision support and energy management systems for smart homes. J Ambient Intell Hum Comput 4:651–661. https://doi.org/10.1007/s12652-013-0176-9

    Article  Google Scholar 

  • Sun H, Yang J, Zhao W, Su J (2012) TiCoBTx-Net: a model to manage temporal consistency of service-oriented business collaboration. IEEE Trans Serv Comput 5(2):207–219

    Article  Google Scholar 

  • Sun QC, Huang WQ, Jiang YJ, Sun W (2017) Information flow scheduling in concurrent multi-product development based on DSM. Chin J Mech Eng 30:1101–1111. https://doi.org/10.1007/s10033-017-0160-y

    Article  Google Scholar 

  • Swarnkar R, Choudhary AK, Harding JA, Das BP, Young RI (2012) A framework for collaboration moderator services to support knowledge based collaboration. J Intell Manuf 23(5):2003–2023

    Article  Google Scholar 

  • Tello-Leal E, Chiotti O, Villarreal PD (2014) Software agent architecture for managing inter-organizational collaborations. J Appl Res Technol 12(3):514–526

    Article  Google Scholar 

  • Trappey AJC, Hsiao DW, Ma L (2011) Maintenance chain integration using Petri-net enabled multi agent system modeling and implementation approach. IEEE Trans Syst Man Cybern Part C Appl Rev 41(3):306–315

    Article  Google Scholar 

  • Wang C, Chen H (2012) Using quality function deployment for collaborative product design and optimal selection of module mix. Comput Ind Eng 63(4):1030–1037

    Article  Google Scholar 

  • Wang T, Guo S, Sarker BR, Li Y (2012) Process planning for collaborative product development with CD-DSM in optoelectronic enterprises. Adv Eng Inform 26(2):280–291

    Article  Google Scholar 

  • Yin X, Yang B, Li H (2014) A CPN based model for a typical product development process. International conference on mechanical, information and industrial engineering

  • Zhang LE, Qian WW, Zhang ZH, Wang YY (2016) Research on knowledge demand information acquisition for product design. In: Proceedings of 2016 12th international conference on computational intelligence and security (Cis), pp 677–680. https://doi.org/10.1109/Cis.2016.162

  • Zhang GY, Zhao WG, Yan XT (2017) Collaborative design implementation on the PN-PDDP model for the complex coupled rotor systems. Control Eng Appl Inform 19:69–78

    Google Scholar 

  • Zhou A, Wang W, Lu L et al (2011) Collaborative design platform for auto key parts based on CPN. Microelectron Comput 28(06):142–147

    Google Scholar 

Download references

Acknowledgements

We would like to thank the anonymous reviewers and the editor for their constructive comments and suggestions to this paper. We also acknowledge the Youth Science Foundation of National Natural Science Foundation, China (No. 51705438), the National Science and Technology Support Plan Subsidization Project, China (No. 2015BAF17B02), the Young Scholars Development Fund of SWPU (No. 201599010007) and the Sichuan education department natural science fund (No. 16ZB0083).

Author information

Authors and Affiliations

  1. School of Mechanical and Electrical Engineering, Southwest Petroleum University, Chengdu, China

    Liang Guo & Chao Zhang

Authors
  1. Liang Guo
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Chao Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Liang Guo.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Guo, L., Zhang, C. Dual-process modeling and control method for new product collaborative design based on petri net. J Ambient Intell Human Comput 10, 907–921 (2019). https://doi.org/10.1007/s12652-018-0904-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12652-018-0904-2

Keywords

Search

Navigation