Genetic algorithm solution for a risk-based partner selection problem in a virtual enterprise
Computers and Operations Research
Elements of a base VE infrastructure
Computers in Industry - Special issue: Virtual enterprise management
Contingent Portfolio Programming for the Management of Risky Projects
Operations Research
Reference models supporting enterprise networks and virtual enterprises
International Journal of Networking and Virtual Organisations
Trust Modeling for Networked Organizations Using Reputation and Collaboration Estimates
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
An Ontology for Virtual Organization Breeding Environments
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Hi-index | 0.00 |
In this correspondence, we study how the selection of partners in a virtual organization (VO) can be assisted through mixed-integer linear programming (MILP) models. Additionally to fixed and variable costs, we present extensions that accommodate transportation costs, capacity risk measures, and interorganizational dependencies such as the success of past collaboration. Experiences from a real case study indicate that these models are helpful in VO decision making; computational experiments suggest that the models are tractable. In general, the MILP models are potentially applicable to a variety of portfolio selection problems.