Collaborative Framework for Dynamic Scheduling Supporting in Networked Manufacturing Environments

Collaborative Framework for Dynamic Scheduling Supporting in Networked Manufacturing Environments

Maria Leonilde R. Varela (University of Minho, Braga, Portugal), André S. Santos (University of Minho, Braga, Portugal), Ana M. Madureira (GECAD Research Group, School of Engineering, Polytechnic Institute of Porto, Porto, Portugal), Goran D. Putnik (University of Minho, Braga, Portugal) and Maria Manuela Cruz-Cunha (Polytechnic Institute of Cávado and Ave, Barcelos, Portugal)
Copyright: © 2014 |Pages: 19
DOI: 10.4018/IJWP.2014070103
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Abstract

Scheduling continues to play an important role in manufacturing systems. It enables the production of suitable scheduling plans, considering shared resources between several different products, through several manufacturing environments including networked ones. High levels of uncertainty characterize networked manufacturing environments. Processes have specific and complex requirements and management requisites, along with diversified objectives, which are dynamic and often conflicting. Dynamic adaptation and a real-time response for manufacturing scheduling is still possible and is critical in this new manufacturing environments, which have a flexible nature, where disturbances on working conditions occur on a continuous and even unexpected basis. Therefore, scheduling systems should have the ability of automatically and intelligently maintain a real-time adaptation and optimization of orders production, to effectively and efficiently adapt these manufacturing environments to the inherent dynamic of markets. In this paper a collaborative framework for supporting dynamic scheduling in networked manufacturing environments is proposed, based on a hyper-organization model and on hyper-heuristics, in order to obtain feasible and robust scheduling plans.
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2. Networked Manufacturing Environments

A networked manufacturing environment (NME) (or a multi-site production network, MSPN) can be defined as a set of geographically dispersed facilities that process products, and are connected through a network (Arrais-Castro et al., 2012). This network aims to integrate the several processes and stages involved in the production cycle, with people participating on each one of them (concept definition, design, prototyping, development, manufacturing, identification and selection of markets, sales, support and other services, including reverse-engineering and reengineering (Cunha and Putnik, 2002a,b; Cunha et al., 2000; Cunha et al., 2005).

Business partners can vary from institutional partners to suppliers and customers, which also play a very important role in achieving the organization's objectives. Thus, it is also important to consider them in the network. For this reason the selection of potential business partners has become a major concern in distributed manufacturing networks implementation. This importance is even greater in the context of the current market characterized by a high level of globalization.

Moreover, NMEs can be viewed as complex manufacturing environments, where complexity may arise due to the geographical distribution of the manufacturing resources and/or their autonomy, besides the underlying complexity itself.

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