Energy aware knowledge extraction from Petri nets supporting decision-making in service-oriented automation

Abstract

-This paper introduces an approach to decision support systems in service-oriented automation control systems, which considers the knowledge extracted from the Petri nets models used to describe and execute the process behavior. Such solution optimizes the decision-making taking into account multi-criteria, namely productive parameters and also energy parameters. In fact, being manufacturing processes typically energy-intensive, this allows contributing for a clean and saving environment (i.e. a better and efficient use of energy). The preliminary experimental results, using a real laboratorial case study, demonstrate the applicability of the knowledge extracted from the Petri nets models to support real-time decision-making systems in service-oriented automation systems, considering some energy efficiency criteria.

Self-organized Holonic Manufacturing Systems Combining Adaptation and Performance Optimization

“…The pallets, conveyors and machines belonging in the system were modelled as holons, according to the proposed architecture. Two different mechanisms were embedded in the pallet holons to support the routing decision-making [12]: centralized (optimal approach) and distributed (self-organized approach).…”

Solving Myopia in Real-time Decision-making using Petri nets Models’ Knowledge for Service-oriented Manufacturing Systems

“…However, in case of more than one alternative to evolve, it is necessary to evaluate those alternatives. For this purpose, the proposed approach considers a multi-criteria evaluation function that uses linear algebra operations to combine T-invariants with a vector of decision criteria, where different types of decision parameters can be considered, including productive and energy efficiency related parameters (Leitão et al, 2010). The set of decision criteria, and particularly the weight of each one, is represented by the vector w = (w 1 , w 2 , …, w c ), being c the number of criteria used in the decision set.…”

“…The basic idea of the proposed decision-making method for service-oriented manufacturing systems is to combine the knowledge extracted from Petri nets models, mainly the Tinvariants, with a flexible set of decision criteria, that do not only consider the optimization of manufacturing processes, but also the service quality and the reduction of the energy consumption in the manufacturing devices (Leitão et al, 2010). In terms of services, it means the selection of the best available service from a set of alternative options that represents the requester's demands, taking into account the process and energy efficiency.…”

“…This method may suffer of myopia and can lead to non optimal long-term solutions. The motivation of this paper is to extend the initial real-time decision-making approach for service-oriented manufacturing systems based on the Petri nets knowledge (presented at Leitão et al (2010)), with proper mechanisms to solve the myopia decision problem. Having a non-myopic decisionmaking system, the best solution to perform a sequence of services defined in the process plan is probably different from that in which the execution of the first service is the best one.…”

Framework for Identifying Autonomous DecisionMaking Process in Energy and Environmental Issues: Case Studies in Indonesian Communities (Rukun Warga)

“…This method is used for analyzing various decision-making processes. In relation to energy issues, Petri-net has previously been utilized to analyze a more energy efficient decision-support system in manufacturing [21]. Meanwhile in the environmental field, Petri-net has been used as a decision support system in choosing sustainability indicators for regional development [22], in managing municipal waste [23], and in modeling environmental effects of biofuels utilization [24].…”