Abstract
The precision engineering sector lies at the heart of the UK’s manufacturing capability. Successful precision engineering businesses are required to master process innovation and supply chain solutions. Companies operating in this sector support, amongst others, economy-driving industries such as aerospace, defence, motorsport, nuclear, off-highway equipment, oil and gas and renewable energy. The main companies that constitute this sector are SMEs (or small and medium-sized enterprises). In these types of business environment, the implementation of innovative, collaborative solutions has become a necessary strategy for enhancing SME decision-making processes as well as for improving overall business competitiveness. The aim of the research described in this paper is to present how, by implementing a web and onlinebased collaborative tool, precision engineering SME’s can benefit, and are able to enhance their performance, by improving their production planning processes collaboratively. The research is presented with the help of a description of case study undertaken in a precision engineering SME.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Axelson, R.: Enhancing the competitiveness of EMSs in Europe-a strategic framework for support service. United Nations Economic Commission, pp. 1–32 (2007)
Cooper, M.C., et al.: Supply chain management, partnerships, and the shipper-thirdparty relationship, pp. 87–169. Auer Bach Publication, Taylor & Francis Group LLC, US (2004)
Dargam, F., Delibasic, B., Hernández, J.E., Liu, S., Papathanasiou, J., Ribeiro, R., Zaraté, P.: Proceesindgs, EWG-DSS Thessaloniki-2013, EURO Working Group on Decision Support Systems Workshop on “Exploring New Directions for Decisions in the Internet Age”. IRIT Research Report: IRIT/RR–2013-28—FR (2013)
Federici, T.: Factors Influencing ERP Outcomes in SMEs: A Post-Introduction Assessment. Journal of Enterprise Information Management 22(1/2), 81–98 (2009)
Ghose, A.K.: SMEs and environment protection. Productivity 42(2), 210–216 (2001)
Hernandez, J.E., Lyons, A.C., Mula, J., Poler, R., Ismail, H.S.: Supporting thedecision-making process in a multi-level automotive supply chain with a collaborativemulti-agent system. Production Planning & Control (2013)
Kim, Dae, H., Lee, I., Lee, C.K.: Building Web 2.0 enterprises: A study ofsmall and medium enterprises in the United States. International Small Business Journal 31(2), 156–174 (2013)
OpenBook (2013), http://www.dna-agile.com/docs/DNAredthorn%20Brochure.pdf (accessed December 16, 2013)
Peris, M., et al.: Acceptance of Professional Web 2.0 Platforms in Regional SME Networks: An Evaluation Based on the Unified Theory of Acceptance and Use of Technology. In: 2013 46th Hawaii International Conference on System Sciences (HICSS). IEEE (2013)
Ponis, S.T., Christou, I.T.: Competitive intelligence for SMEs: a web–based decision support system. International Journal of Business Information Systems 12(3), 243–258 (2013)
Precision Engineering Sector Report (2012), from ClearWater, http://www.clearwatercf.com/documents/sectors/Precision_Engineering_Report_FINAL.pdf (accessed December 16, 2013)
Verhagen, W.J.C., et al.: A critical review of Knowledge-Based Engineering: Anidentification of research challenges. Advanced Engineering Informatics 26(1), 5–15 (2012)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Hernandez, J.E., Savin, D., Lyons, A.C., Stamatopoulos, K. (2014). Enhancing Collaborative Decision-Making Processes Using a Web-Based Application: A Case Study of a UK Precision Engineering SME. In: Zaraté, P., Kersten, G.E., Hernández, J.E. (eds) Group Decision and Negotiation. A Process-Oriented View. GDN 2014. Lecture Notes in Business Information Processing, vol 180. Springer, Cham. https://doi.org/10.1007/978-3-319-07179-4_2
Download citation
DOI: https://doi.org/10.1007/978-3-319-07179-4_2
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-07178-7
Online ISBN: 978-3-319-07179-4
eBook Packages: Computer ScienceComputer Science (R0)