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

Abstract

This paper introduces a novel approach to the real-time decision-making in service-oriented manufacturing systems, addressing the myopia problem usually presented in such systems. The proposed decision method considers the knowledge extracted from the Petri nets models used to describe the services process behavior, mainly the T-invariants, combined with a multi-criteria function customized according to the system's particularities and strategies. An experimental laboratorial case study was used to demonstrate the applicability of the proposed real-time decision-making approach in service-oriented manufacturing systems, considering some productivity and energy efficiency criteria.

Research on Service-oriented Manufacturing Supply Chain

“…Paulo Leitã o, Joel Alves, Ana I. Pereira, etc. (2010) used Petri net model to study real-time decision-making in service-oriented manufacturing systems [9]. Wang Mingwei, Zhang Shusheng, Zhou Jingtao, etc.…”

Reducing myopic behavior in FMS control: A semi-heterarchical simulation–optimization approach

“…In HFMS control, several characteristics reported in Table I-1 are manifested due to the local goal orientation, locally-contained information, and high degree of autonomy of loosely-linked decisional entities Leitão et al, 2010). For instance, bidding, market-like and product-driven approaches use frequent estimation of outcomes and decisional entities display selfish and competing behavior ; multi-agent and holonic systems encourage the formation of societal structures, such as holarchies, coalitions, teams, congregations, etc., limiting the interactions among entities and creating tight collaborations (Isern et al, 2011).…”