A collaborative decision support framework for managing the evolution of virtual enterprises

Drissen-Silva, Marcus Vinicius; Rabelo, Ricardo J.

doi:10.1080/00207540902847389

Cited by 23 publications

(20 citation statements)

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“…This framework gathers such aspects and groups them into four pillars: Human, Organizational, Knowledge and Technological. The essential rationale of these four pillars is to enable (empowered) humans to discuss and to decide about a problem related to a given organizational process, applying a set of organizational procedures and methods, using information and knowledge available in the VBE's data repositories, all this supported by a sort of ICT (technological) tools and infrastructures [5]. The discussion is framed by a decision protocol and it is carried out within a distributed and collaborative decision support environment.…”

Section: Decision Support Frameworkmentioning

confidence: 99%

“…Its rationale was mentioned in section 2, and it is detailed explained in Drissen-Silva and Rabelo [5]. Conceptually, it should indicate what has to be done, why, by whom, where, when, how, and with which resources.…”

Section: Decision Protocolmentioning

confidence: 99%

“…Unlikely other types of CNs, like supply chains or extended enterprises, the managing of the VE evolution implies the consideration of relevant additional aspects [5]: partners are totally autonomous so decisions cannot be imposed by a single company; they have different cultures and use different organizational practices; the decision process should be transparent regarding governance aspects; the information necessary to help solving the problem should be disclosed and shared taking into account temporary and current access rights; enterprises are often involved in several VEs simultaneously, where some of them are inter-related. Besides that, a VE is something very much unique, which means that the way a problem was solved in a given previous VE is not necessarily valid for another VE.…”

Section: Introductionmentioning

confidence: 99%

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Managing Decisions on Changes in the Virtual Enterprise Evolution

Drissen-Silva

Rabelo

2009

Leveraging Knowledge for Innovation in Collaborative Networks

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Abstract. VE evolution deals with problems that happen during the VE operation and that put on risk planned results. This requires the application of problem-solving mechanisms to guarantee the construction of a new but feasible VE plan. Grounded on Project Management and Decision Support Systems foundations, this paper proposes a distributed collaborative decision support system to manage the VE evolution. Its main rationale is that VE's members are autonomous and hence that all the affected partners should discuss about the necessary changes on the current VE's plan. In the proposed approach, this discussion is guided by a decision protocol, and the impact of decisions can be evaluated. Results of a first prototype implementation are presented and discussed, with a special focus on the part which regulates the argumentation, voting and comparison of possible solutions.

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Section: Decision Support Frameworkmentioning

confidence: 99%

Section: Decision Protocolmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Managing Decisions on Changes in the Virtual Enterprise Evolution

Drissen-Silva

Rabelo

2009

Leveraging Knowledge for Innovation in Collaborative Networks

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“…There are four phases in the life cycle of a VE, namely, the creation, operation, evolution, and dissolution phases Su 2005, Drissen-Silva andRabelo 2009). The success of a VE is strongly dependent on its composition; thus, this research focuses on the VE creation phase.…”

Section: Introductionmentioning

confidence: 99%

An enhanced ant colony optimiser for multi-attribute partner selection in virtual enterprises

Niu

Ong

Nee

2012

International Journal of Production Research

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Increasing global competition drives enterprises, especially small and medium-sized enterprises, to collaborate in order to respond faster to customers' needs, reduce operating costs, increase capacity, and produce customised products to reach the market quicker. A virtual enterprise (VE) is an important manufacturing paradigm to address this trend in the dynamic global economy. Partner selection is a key issue tightly coupled to the success of a VE coalition, and because of its complexity, it is considered a multi-attribute optimisation problem. In this paper, an enhanced ant colony optimiser (ACO) is proposed to address the partner selection problem. Five attributes (namely, cost, time, quality, reputation, and risk) considering both qualitative and quantitative aspects have been investigated to evaluate the candidate partners. Experiments have been conducted to validate the performance of the enhanced ACO algorithm, and the results show that the enhanced ACO algorithm can produce better results in terms of search accuracy and computing time. IntroductionAs competition among enterprises is continuously increasing in the global market, enterprises, especially small and medium-sized enterprises (SMEs), need to cooperate with each other in order to enhance their capability and capacity. A virtual enterprise (VE) is an important manufacturing paradigm for enterprises to collaborate with each other. Generally, VEs are formed for two reasons, namely, a faster response to job opportunities and meeting the requirements of mass customisation (Niu et al. 2009).A VE is a dynamic, temporary, and logical alliance of enterprises that collaborate with each other to exploit fastchanging market opportunities or cope with specific needs. Their operation is achieved by a coordinated sharing of skills, resources, information, and knowledge, as well as risks and benefits (Drissen-Silva and Rabelo 2009). VEs offer new opportunities to companies in a global business environment to better satisfy their customer needs with lower pricing by allowing member enterprises to cooperate and make full use of their core strengths to survive.There are four phases in the life cycle of a VE, namely, the creation, operation, evolution, and dissolution phases (Wu and Su 2005, Drissen-Silva and Rabelo 2009). The success of a VE is strongly dependent on its composition; thus, this research focuses on the VE creation phase. In the creation phase, the selection of partners is the most crucial issue, as selecting proper partners involves multiple selection criteria and constraints, and a poor selection may result in a higher manufacturing time and cost, and less competitive products. Partner selection can be viewed as a multi-criteria decision-making problem where the decision-makers assess the trade-offs between conflicting tangible and intangible criteria, and indicate their preferences based on incomplete or non-available information. In general, this is a very complex problem owing to the large number of alternatives and different types of criteria (...

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“…This framework gathers such aspects and groups them into four categories, or pillars: Human, Organizational, Knowledge and Technological. The essential rationale of these four pillars is to enable humans to discuss and to decide about a problem related to a given organizational process, applying a set of organizational procedures and methods, using information and knowledge available in the VBE's repositories, all this supported by a sort of ICT (technological) tools and infrastructures (Drissen-Silva & Rabelo, 2009a). That discussion is framed by a decision protocol (conceived using project management foundations) and is carried out within a distributed and collaborative decision support environment.…”

Section: Collaborative Decision Support For the Virtual Enterprise Evmentioning

confidence: 99%

Collaboration in Decision Making: A Semi-Automated Support for Managing the Evolution of Virtual Enterprises

Drissen-Silva¹,

Rabelo²

2011

Efficient Decision Support Systems - Practice and Challenges in Multidisciplinary Domains

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A collaborative decision support framework for managing the evolution of virtual enterprises

Cited by 23 publications

References 23 publications

Managing Decisions on Changes in the Virtual Enterprise Evolution

Managing Decisions on Changes in the Virtual Enterprise Evolution

An enhanced ant colony optimiser for multi-attribute partner selection in virtual enterprises

Collaboration in Decision Making: A Semi-Automated Support for Managing the Evolution of Virtual Enterprises

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