A simulation approach for evaluation and improvement of organisational planning in collaborative product development projects

Human behaviour and organisational structure impact collaborative product development outcome on a large scale. Therefore, companies are continuously seeking new opportunities to increase the efficiency, effectiveness and predictability of their collaborative product development projects, and to develop innovative principles for organisational design and management such as multi-functional teams. However, there are many factors which have to be considered and assessed to systematically optimise organisational planning in respect of team configuration, structure organisation, and human behaviour. This paper proposes an agent-based simulation methodology to evaluate and improve the organisational planning in complex product development projects. An agent-based integrated simulation model is formulated which can explicitly represent human behaviour, organisational interactions, and tasks networks. Based on the model, the design agent structure and behaviour protocols are studied in detail, and a simulation platform is developed. Finally, the methodology is evaluated in a collaborative roadway design project, and several management insights are established, which are proven to be effective for the organisational optimisation. The results of the case study also show that the methodology can effectively support the evaluation and improvement of organisational planning.

[1]  Yoke San Wong,et al.  Collaborative computer-aided design - research and development status , 2005, Comput. Aided Des..

[2]  Yu Yang,et al.  Organization-Oriented Simulation of Collaborative Product Development Process Based on Designer's Agent Model , 2007, 2007 11th International Conference on Computer Supported Cooperative Work in Design.

[3]  K. H. Park,et al.  Virtual enterprise – organisation, evolution and control , 2001 .

[4]  Seung Man Lee,et al.  Developing an agent model of human performance in air traffic control operations using Apex cognitive architecture , 2005, Proceedings of the Winter Simulation Conference, 2005..

[5]  Hai Zhuge,et al.  Workflow- and agent-based cognitive flow management for distributed team Cooperation , 2003, Inf. Manag..

[6]  Gu Ying-kui Resources Management and Simulation of Product Development , 2005 .

[7]  F.-L. Krause,et al.  Competence Management for the Optimisation of Product Development Processes , 2006 .

[8]  Mao-Lin Chiu,et al.  An organizational view of design communication in design collaboration , 2002 .

[9]  G. Salvendy,et al.  Review and reappraisal of modelling and predicting mental workload in single- and multi-task environments , 2000 .

[10]  YAN JIN,et al.  The virtual design team: A computational model of project organizations , 1996, Comput. Math. Organ. Theory.

[11]  Li Lin,et al.  Modeling team member characteristics for the formation of a multifunctional team in concurrent engineering , 2004, IEEE Transactions on Engineering Management.

[12]  Kulwant S. Pawar,et al.  Analysing organisational issues in concurrent new product development , 2000 .

[13]  Klaus Neumann Stochastic Project Networks: Temporal Analysis, Scheduling and Cost Minimization , 1990 .

[14]  Robert P. Smith,et al.  A model-based method for organizing tasks in product development , 1994 .

[15]  S. Kim,et al.  Organizational structures and the performance of supply chain management , 2007 .

[16]  Tyson R. Browning,et al.  Modeling impacts of process architecture on cost and schedule risk in product development , 2002, IEEE Trans. Engineering Management.

[17]  Joaquín Alegre,et al.  Linking design management skills and design function organization: An empirical study of Spanish and Italian ceramic tile producers , 2007 .

[18]  Geon-Cheol Shin,et al.  Project Management Characteristics and New Product Survival , 2003 .

[19]  Kulwant S. Pawar,et al.  The application of business process modelling to organisational analysis of concurrent engineering environments , 2003 .

[20]  Andrew Y. C. Nee,et al.  Towards a generic distributed and collaborative digital manufacturing , 2007 .

[21]  Gavriel Salvendy,et al.  Handbook of industrial engineering , 2001 .

[22]  David N. Ford,et al.  Dynamic modeling of product development processes , 1998 .

[23]  Rosanna Garcia Uses of Agent-Based Modeling in Innovation/New Product Development Research , 2005 .

[24]  Richard Durst,et al.  Cross-functional teams in a concurrent engineering environment — principles, model, and methods , 2001 .

[25]  David N. Ford,et al.  Tipping point failure and robustness in single development projects , 2006 .

[26]  Tyson R. Browning,et al.  Managing complex product development projects with design structure matrices and domain mapping matrices , 2007 .

[27]  Wenpin Tsai Social Structure of Coopetition Within a Multiunit Organization: Coordination, Competition, and Intraorganizational Knowledge Sharing , 2002 .

[28]  Hong-Sen Yan,et al.  Modeling, scheduling and simulation of product development process by extended stochastic high-level evaluation Petri nets , 2003 .

[29]  Yan Jin,et al.  Simulating Project Work Processes and Organizations: Toward a Micro-Contingency Theory of Organizational Design , 1999 .

[30]  Therani Madhusudan,et al.  An agent-based approach for coordinating product design workflows , 2005, Comput. Ind..

[31]  W. T. Tsai Building trustworthy applications on a Service-Oriented Computing paradigm , 2007, Int. J. Simul. Process. Model..

[32]  Holly A. H. Handley,et al.  A Model to Evaluate the Effect of Organizational Adaptation , 2001, Comput. Math. Organ. Theory.

[33]  Somendra Pant,et al.  Web‐Based Product Development Systems Integration and New Product Outcomes: A Conceptual Framework , 2003 .

[34]  Raymond E. Levitt,et al.  Modeling and Analyzing Cultural Influences on Project Team Performance , 2005, Comput. Math. Organ. Theory.

[35]  D. V. Steward,et al.  The design structure system: A method for managing the design of complex systems , 1981, IEEE Transactions on Engineering Management.