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Contenido archivado el 2024-05-07

Decision support optimal bidding in a competitive business environment

Objetivo



The aim of this project is to provide computerised decision support for the key problems of pricing costing and value analysis, so that bidding processes of enterprises can be performed more efficiently and more effectively.
The project attempts to integrate, via appropriate methodologies and decision support systems, the commercial and organizational aspects of going from a call for proposals from a client to a successful bid, further negotiation and project implementation over the products life cycle.
The emphasis is put on some innovative topics such as "make-or-buy" decision , cooperative work within the enterprise, enterprise processes modeling as a support for bidding and possible simulation of various solutions that could satisfy the customer and that are distinguished through value analysis.
It should be noted that the methodologies and decision support systems to be developed will be generic and would aim to cover one-of-a-kind and small series production.
The decision support system prototyped within the framework of DECIDE is integrated within the operational information systems of the two industrial partners (THOMSON-CSF & BWM) of the consortium and are improved alongside the project through on-field experimentation and continuous results monitoring.

Project content

The project will focus on developing a methodology and decision support tool kits to model and optimise:
- Pricing. For this, PRICE-STRAT, the generic pricing system of UMIST is adapted.
- Costing. For this, some modules of BIDPREP, the bid preparation toolk it of BIBA are reused.
- Value Analysis. For this, a specific toolkit is developed to quantify value for money of enterprise products features.
- Enterprise Process and Products Modeling. For this, the Cooperative decision support Architecture of INPT is extended to build a repository upon which the others modules rely.

The outputs of the project will be :
- a modelling methodology which clearly integrates the costs and the commercial aspects, with a view to superior bid pricing in a competitive environment,
- a productized and ready to market software toolkit to support the above methodology.

To demonstrate the genericity of the methodology and software, case studies will be carried out with each of the use partners and fed-back into the final product.

The expected benefits of DECIDE are to improve :
- The efficiency (faster response to calls) and effectiveness (higher margins for acceptable success probability) of the bidding process,
- The pricing process by reducing to a minimum the risks and uncertainties through a superior use of market analysis,
- The value for money of industrial products.
- The ability of enterprises to prepare reengineering of their processes as soon as or even before a bid is successful.

To ensure that European industry benefits rapidly from the outcomes of the project, the consortium has put together a detailed and comprehensive plan for dissemination, that relies upon existing channels that each partner of the consortium is already using.

As a marketable product is targeted, exploitation of result is taken very seriously by the consortium. A specific progressive strategy (the cascade strategy) will be implemented by partners in charge of results commercial exploitation: IXI and UMIST (through a start-up company)

The consortium comprising a consulting and software house, IXI (co-ordinating partner), Universities and Research Centres, UMIST (pricing expertise), INPT (decision and information systems architecture expertise), BIBA (expertise in costing, bid preparation , inter-enterprise interaction) and driven by the needs of two users, is well placed to bring the project to a successful conclusion and ensure rapid exploitation for the benefit of European industry.

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Coordinador

Ixi-Ingenierie Concourante et Systemes D'information
Aportación de la UE
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Dirección
Rue Du Gouverneur General Eboue 89
92130 Issy-les- Moulineaux
Francia

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Participantes (5)

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