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A Methodology for Implementing a Product-Centred Bid Model for Suppliers

Part of: Design Management

Published online by Cambridge University Press:  26 July 2019

Delphine Guillon ,
Christophe Merlo ,
Eric Villeneuve ,
Elise Vareilles  and
Michel Aldanondo
Delphine Guillon
Affiliation:
Univ. Bordeaux, ESTIA; CGI, Univ. Toulouse, IMT Mines Albi
Christophe Merlo*
Affiliation:
Univ. Bordeaux, ESTIA IMS;
Eric Villeneuve
Affiliation:
Univ. Bordeaux, ESTIA;
Elise Vareilles
Affiliation:
CGI, Univ. Toulouse, IMT Mines Albi
Michel Aldanondo
Affiliation:
CGI, Univ. Toulouse, IMT Mines Albi
*
Contact: Merlo, Christophe, ESTIA, ESTIA RECHERCHE, France, c.merlo@estia.fr

Abstract

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Early phases of product development are critical for next phases and impact the product definition. During bid process, suppliers generate offers for a customer that must both meet customer's requirements and be realizable in terms of technical aspects, costs and due date. Our aim is to propose a methodology for implementing a generic bid model, composed of context parameters, customer's requirements, the product i.e. technical solution, its delivery process, and associated risks. Key Performance Indicators allow to evaluate different solutions. The bid model is exploited with two different approaches. First, we use Constraint Satisfaction Problems to formalize expert knowledge and identify variables/constraints and relations. Second, we use case database to reuse past experiences. This model and the methodology are applied with a company developing harbour cranes. An initialisation phase allows to define existing bid process. Then, the generic model is adapted through a specialisation phase, using specific knowledge from company's experts. Finally, the specific model is implemented and tested in an implementation phase. Future work will be focused on a software tool development.

Keywords

Knowledge managementProduct modelling / modelsDesign methodologyOffer model implementationBid process
Type
Article
Information
Proceedings of the Design Society: International Conference on Engineering Design , Volume 1 , Issue 1 , July 2019 , pp. 1035 - 1044
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
© The Author(s) 2019

References

Abeille, J., Coudert, T., Vareilles, É., Geneste, L., Aldanondo, M. and Roux, T. (2010), “Formalization of an Integrated System/Project Design Framework: First Models and Processes”, In. Aiguier, M., Bretaudeau, F., Krob, D. (Ed.) Complex Systems Design & Management: Proceedings of the First International Conference on Complex System Design & Management CSDM 2010, Springer Berlin, Heidelberg, pp. 207–217.Google Scholar
Abramovici, M. and Chasiotis, C. (2002), “Integrated documentation of procedural knowledge in product development”, Proceedings of Integrated Product and Process Development (IPPD), Wroclaw, Poland, Nov. 21-22 2002.Google Scholar
Ahmad, N., Wynn, D. C. and Clarkson, P. J. (2013), “Change impact on a product and its redesign process: a tool for knowledge capture and reuse”, Research in Engineering Design, Vol. 24 No. 3, pp. 219–244.Google Scholar
Argyris, C. and Schön, D. (1974), Theory in Practice; Increasing Professional Effectiveness, Jossey-Bass, USA.Google Scholar
Bandini, S. and Manzoni, S. (2000), “A knowledge Based Sustem for the design of rubber compounds in motor racing”, 14th European Conference on Artificial Intelligence (ECAI), Berlin, 2000.Google Scholar
Bernard, A., Labrousse, M. and Perry, N. (2006), “LC universal model for the enterprise information system structure”, In. Brissaud, D., Tichkiewitch, E. and Zwolinski, P. (Ed.), Innovation in Life Cycle Engineering and Sustainable Development, pp. 429–446.Google Scholar
Bidault, F., Despres, C. and Butler, C. (1998), “The drivers of cooperation between buyers and suppliers for product innovation”, Research Policy, Vol. 26, pp. 719–732.Google Scholar
Chalal, R. and Ghomari, A.R. (2006), “An Approach for a Bidding Process Knowledge Capitalization”, World Academy of Science, Engineering and Technology, Vol. 13 No. 7, pp. 293–297.Google Scholar
Chandrasekaran, B. (1990). “Design problem solving: A task analysis”. AI magazine, Vol. 11 No. 4, p. 59.Google Scholar
Eckert, C.M., Wynn, D.C., Maier, J.F., Albers, A., Bursac, N., Chen, H.X., Clarkson, P.J., Gericke, K., Gladysz, B. and Shapiro, D. (2017) “On the integration of product and process models in engineering design”, Design Science, Vol. 3 No. 3, pp. 1–41. http://doi.org/10.1017/dsj.2017.2Google Scholar
Felfernig, A., Hotz, L., Bagley, C., Tiihonen, J. (2014), “Knowledge-Based Configuration: From Research to Business Cases”. Elsevier Ltd, Oxford.Google Scholar
Gero, J., Kannengiesser, U. (2014), “The function-behaviour-structure ontology of design”, In. Chakrabarti, Blessing L. (Ed.), An Anthology of Theories and Modes of Design, Springer, Heidelberg, pp. 263–284. http://doi.org/10.1007/978-1-4471-6338-1Google Scholar
Guillon, D., Sylla, A., Vareilles, É., Aldanondo, M., Villeneuve, É., Merlo, C., Coudert, T. and Geneste, L. (2017), “Customer Supplier Relation: towards a Constraint-Based Model for Bids”, Industrial Engineering and Engineering Management, Singapore, pp. 10–13 December 2017.Google Scholar
Klein, R., (2000), “Knowledge modeling in design-the MOKA framework”, In. Gero, J.S. (Ed.), Artificial Intelligence in Design '00, Springer, pp. 77–102.Google Scholar
Langner, B. and Seidel, V.P. (2009), “Collaborative concept development using supplier competitions: Insights from the automotive industry”, Journal of Engineering and Technology Management, Vol. 26 No. 1, pp. 1–14.Google Scholar
Malatesta, M., Cicconi, P., Raffaeli, R. and Germani, M. (2015) “Supporting the configuration of new product variants by reusing the implicit knowledge of past solutions”, Proceedings of the 20th International Conference on Engineering Design (ICED 15), Vol. 10, Design Information and Knowledge Management, Milan, Italy, July 27-30 2015.Google Scholar
Matta, N., Ermine, J.L., Aubertin, G., Trivin, J.-Y. (2002), “Knowledge Capitalization with a knowledge engineering approach: the MASK method”, Knowledge management and organizational memories, Springer, Boston, MA, pp. 17–28Google Scholar
Merlo, C. and Girard, Ph. (2004), “Information system modelling for engineering design co-ordination”, Computers in Industry, Vol. 55 No. 3, pp. 317–334.Google Scholar
Milne, R. and Nicol, C. (2000), “TIGER: Continuous diagnosis of gas Turbines”, 14th European Conference on Artificial Intelligence (ECAI), Berlin.Google Scholar
Mittal, S. and Frayman, F. (1989), “Towards a Generic Model of Configuration Tasks”. International Joint Conference on Artificial Intelligence IJCAI, Vol. 89, pp. 1395–1401.Google Scholar
Montanari, U. (1974), “Networks of constraints: Fundamental properties and applications to picture processing”. Information Sciences, Vol. 7. Supplement C, pp. 95–132.Google Scholar
Petersen, K.J., Handfield, R.B. and Ragatz, G.L. (2005), “Supplier integration into new product development: coordinating product, process and supply chain design”, Journal of Operations Management, Vol. 23 No. 3-4, pp. 371–388.Google Scholar
Robin, V., Merlo, C., Pol, G. and Girard, P. (2010), “Management of a Design System in a Collaborative Design Environment Using PEGASE”, In. Heisig, P., Clarkson, P.J., Vajna, S. (Ed.), Modelling and management of engineering processes 1, Springer, pp. 189–200, 2010.Google Scholar
Roucoules, L., Noel, F., Teissandier, D., Lombard, M., Debarbouillé, G., Girard, P., Merlo, C. and Eynard, B. (2006). “IPPOP: an opensource collaborative design platform to link product, design process and industrial organisation information”, 6th International Conference on Integrated Design and Manufacturing in Mechanical Engineering, May 2006, Grenoble, France.Google Scholar
Shah, J. J., Jeon, D. K., Urban, S. D., Bliznakov, P. and Rogers, M. (1996), “Database infrastructure for supporting engineering design histories”, Computer-Aided Design, Vol. 28 No. 5, pp. 347–360.Google Scholar
Sylla, A., Vareilles, É., Aldanondo, M., Coudert, T., Geneste, L. and Kirytopoulos, K. (2017), “Customer/Supplier Relationship: reducing Uncertainties in Commercial Offers thanks to Readiness, Risk and Confidence Considerations”. In: Eynard, B., Nigrelli, V., Oliveri, S., Peris-Fajarnes, G., Rizzuti, S. (Ed.), Advances on Mechanics, Design Engineering and Manufacturing, Springer, pp. 1115–1122.Google Scholar
Yager, M., Le Dain, M., Merminod, V. (2015), “An exploratory study of the specifications process in a customer-supplier collaborative new product development”, Proceedings of the 20th International Conference on Engineering Design (ICED 15), Vol 10, Design Information and Knowledge Management, Milan, Italy, July 27-30 2015.Google Scholar