Modeling and Synthesis of Supply Chain Networks Using High-Level Petri Nets

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Author(s): Gen'ichi Yasuda (Nagasaki Institute of Applied Science, Japan)
Copyright: 2020
Pages: 19
Source title: Supply Chain and Logistics Management: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-7998-0945-6.ch044

Keywords: Business & Management / Business Science Reference / Operations and Service Management / Supply Chain Management

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Abstract

This chapter presents a systematic methodology for modeling and control of supply chain networks, especially focusing on formal representation and control synthesis aspects. A supply chain is represented as a discrete event dynamic system. The use of high-level Petri nets is proposed to formulate event related rules commonly seen in supply chains and analyze cause-effect relationships between events. Petri nets have been successfully introduced as an effective tool for describing control specifications and realizing the control in automated supply chain processes. The extended net representation of the productive task flows can provide more synthetic specifications for consistent management and control of supply chain systems by a top-down refinement methodology. Software implementation is described to simulate and control real supply chain processes.

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Modeling and Synthesis of Supply Chain Networks Using High-Level Petri Nets

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