دانلود رایگان مقاله انگلیسی محاسبه خودکار فرایندهای کسب و کار متقابل سازمانی - الزویر 2018

Abstract

Being able to implement efficient cross-organizational collaborations has become a key factor for enterprises to respond to emerging market opportunities. The Business Process Management approach is commonly used to design crossorganizational collaborations. This type of business process aims at achieving specific collaborative objectives by addressing three main steps according to a top-down approach: (i)defining the business services that have to be performed to reach the objectives, (ii)finding the best set of partners to provide them and (iii)ordering the business services in an optimized way. While the resulting business processes are a cornerstone to support the interoperability among the partners of a collaboration, their design step remains often humanly-conducted and laborious. Moreover, seeking the ”best” set of partners involves non-additive criteria such as the delivery time (i.e. business services can be performed in sequence or in parallel within the process). In this context, this paper presents a decision support system based on an Ant Colony Optimization algorithm to exploit collaborative knowledge gathered from companies on a dedicated platform (companies’ profile models registered to the platform and collaborative opportunity models) and deduce quasi-optimal collaborative business processes. A prototype that supports this system is also presented.

Discussions and conclusion

This paper presents a decision support system based on an ACO algorithm 810 to automatically elaborate collaborative business processes based on only two inputs: (i) a repository of enterprises’ profiles and their business services and (ii) a collaborative opportunity. This system is based on two parts: (i) ‘flat’ knowledge bases that gather the information about collaborations and (ii) an ACO algorithm to exploit this knowledge. The knowledge bases have actually 815 been implemented as ontologies: a Collaborative Ontology brings the generic knowledge about collaborations and a Business Field Ontology allows to specify them. These ontologies are first used for describing the collaborative contexts through two modelers: (i) the Profile Modeler helps the companies to define their capabilities and (ii) the Opportunity Modeler is an interface to propose 820 new opportunities of collaboration. From profiles and objectives of collaboration, an innovative ACO can exploit the knowledge contained in the ontologies and deduce a non-functionally (e;g. according to cost, delivery time...) optimized collaborative business process. Three gaps are crossed in one time: (i) finding the required capabilities to 825 fulfill the objective of collaboration, (ii) finding the ‘best’ set of partners able to provide them and (iii) order these capabilities into a collaborative business process.