Yin, C and McKay, A orcid.org/0000-0002-8187-4759 (2018) Agent-Based Simulation New Product Development Processes. In: Proceedings of ISCIIA 2018 and ITCA 2018. The 8th International Symposium on Computational Intelligence and Industrial Applications and The 12th China-Japan International Workshop on Information Technology and Control Applications, 02-06 Nov 2018, Tengzhou, China.
Abstract
New Product Development Processes (NPDP) involve a series of functional teams who work in a complex information communication network. Agent-Based Simulation (ABS) comprises a set of autonomous agents that act and interact complying with simulation specifications within a simulation world. This paper analyzes key features of both new product development processes and agent-based simulation. A simulation mapping is introduced to highlight mirror relationships between key elements of new product development processes and key concepts that underpin agent-based simulation. We introduce a new product development process case study arising from a large UK-based manufacturing company, and an agent-based simulation model to represent the new product development process. Simulation results show that agent-based simulation is a promising method to study and explore complex socio-technical systems such as new product development processes.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | This is an author produced version of a paper presented at ISCIIA 2018 and ITCA 2018. |
Keywords: | New Product Development Processes, Agent-Based Simulation, Modeling and Simulation, Simulation Mapping |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mechanical Engineering (Leeds) > Institute of Engineering Systems and Design (iESD) (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 18 Sep 2018 09:43 |
Last Modified: | 22 Feb 2019 12:51 |
Status: | Published |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:135644 |