Service Oriented Architecture for Holonic Isoarchic and Multicriteria Control

Internal logistics as a service in a holonic and isoarchic control model

“…The whole of I_holons assume jointly the overall operation of the system. This induces a number of properties: -same decision-making capacity: there is equality of power, even among Holons of different types; so there is no predominance of one type of Holons on another, but only different relative influences in the building of the decision, depending on the internal state of each Holon, taken into account in real time, -decision-making mechanisms duplicated: the processes and mechanisms to support decision-making are achievable by Holons through ambient services [6] [7], at the most parameterised according to the required goal by the Holon calling service, -interaction and coordination system: the activities of each Holon being derived from the cooperation that it maintains with other Holons, each Holon must be able to communicate with any other Holon. In practice, this need of communication is related to decision problems, which limits this need to a finite number of Holons belonging to identified isoarchies, -self-organization of the operation: there is no attempt to forecasting optimization (which would in any way invalidated by the unexpected nature of the workflow and the appearance of random disturbances), but rather the search in real-time of local solutions (taking into account some overall constraints of performance).…”

Intelligent Products through SOHOMA Prism

“…The architecture of a PDS in another facet of the PDS design and many research works address this issue. In particular, [10] present the PROSIS framework, an evolution of PROSA, where the Staff Holon is replaced by a Simulation. In this Isoarchic architecture, Ambient Control Entity (ACE), located near the resource Holon, allows each I_Holon (informational part of a Product Holon) to call ambient services related to decision making or communication.…”

“…The collaboration mechanism between Intelligent Products can also be formalized using Multi-criteria Decision Making (MCDM) techniques. In [10], [14], the collaboration mechanism is based on the AHP/ANP (Analytic Hierarchy Process / Analytic Network Process).…”

An engineering framework for Service-Oriented Intelligent Manufacturing Systems

“…The ANEMONA-S method can be used to complement it in order to help the system designer at every development step. PROSIS [30] is a service oriented architecture based on PROSA type of holons as well as ANEMONA-S. PRO-SIS provides a set of specialized services that can be parameterized in order to use them in product, resource and order holons. Nevertheless, in PRO-SIS there is no methodological support for the development process.…”