Multi-plant production scheduling in SMEs

Inter-enterprise architecture as a tool to empower decision-making in hierarchical collaborative production planning

“…A number of authors: [18,21,23,27,30,31,32,33,34,35,36,37,38,39] have identified a number of unexpected events and partially or completely agree with Darmoul et al [26]. In the literature, an additional specific unexpected event, production time variation, has also been proposed [ 21,23,25,31,37,38]. This event can be added to the "production" typology.…”

“…When an unexpected event occurs during production, production managers try to fix them manually which is often inefficient, or through costly re-planning of production planning schedules [22,23]. These approaches often lead to long production stoppages, reducing productivity and continuity of the chain, and decreasing customer service.…”

Modelling and Analysis of Autonomously Controlled Production Networks

“…PPC in production networks has to deal with additional tasks as well: Due to the high flexibility of these networks complex interdependencies between production processes in different plants can occur, e.g. allocation problems for parts, which can be process in different plants or planning of transports and transport capacity Sauer 2006;Alvarez 2007 . Thus, a shift from pure core tasks of PPC to an integrated planning of synchronisation within the network, including planning of sales, inventory, and resources is necessary Wiendahl et al 2002 . Uncertainty of lead times and nervousness of schedules are already issues for single plants, but these issues are even more important for production networks.…”

Design of Multi-Behavior Agents for Supply Chain Planning: An Application to the Lumber Industry

“…In a distributed context like supply chains, where different partners work together to deliver goods to final customers, planning problems become rapidly too complex to solve centrally. Centralized planning systems tend to be rigid under dynamic system environments and are less likely to succeed than distributed approaches (Alvarez, 2007). Also, supply chain partners are usually reluctant to share private information that can be crucial to their competitiveness.…”

“…In centralized systems, this typically leads to incomplete information and sometimes infeasible plans. Different paradigms have been studied to operate distributed systems, such as fractal factory, bionic manufacturing, holonic manufacturing and the NetMan paradigm (see Frayret et al, 2004 for a review) and many resolving approaches have been applied, including integer programming, priority dispatching rules, heuristics (Alvarez, 2007) and constraint programming. Another trend in supply chain operational planning has resulted in the development of agent-based planning systems.…”