Improvement of Optimization Agreements in Business Processes involving Web Services

In order to be more competitive, companies often have to work together to offer users a more compact and unique product. This implies that companies must reach an agreement in terms of the necessity of each user. The majority of companies currently present their functionality by means of Web Services, and therefore a combination of activities can be carried out by using business process management systems. Although the use of business processes enables the coordination and combination of these companies to obtain an objective, a problem arises when no relationship exists between the processes with respect to the sequence of priorities, and/or when the various services share their data input from a non-single domain. These companies, in a coordinated way, have to select the specific value of each data input with the aim of optimizing their overall behaviour. In this paper, a refinement of an adaptation of an Artificial Intelligence technique is developed with the purpose of improving coordination to optimize the common objective of the companies by means of reducing the search space. Thanks to this refinement, an optimization agreement in business processes based on Web Services can be obtained in an acceptable way.