Identifying Promising Application Areas for Cyber-Physical and Complex Event Processing in Logistics Practice

Cyril Alias, Frank Eduardo Alarcón Olalla, Hauke Iwersen, Julius Ollesch and Bernd Noche
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Cyril Alias: Department of Transport Systems and Logistics, University of Duisburg-Essen, 47057 Duisburg, Germany
Frank Eduardo Alarcón Olalla: Colegio de Ciencias y Ingenierías, Universidad San Francisco de Quito, Quito 170901, Ecuador
Hauke Iwersen: Department of Transport Systems and Logistics, University of Duisburg-Essen, 47057 Duisburg, Germany
Julius Ollesch: IBM Deutschland GmbH, 40474 Düsseldorf, Germany
Bernd Noche: Department of Transport Systems and Logistics, University of Duisburg-Essen, 47057 Duisburg, Germany

Logistics, 2018, vol. 2, issue 4, 1-24

Abstract: In the course of the ongoing era of digitization, cyber-physical systems and complex event processing belong to the most discussed technologies nowadays. The huge challenge that digitization is forming to the transportation and logistics sector is largely accepted by the responsible organizations. Despite initial steps being taken towards digitized value-creation, many professionals wonder about how to realize the ideas and stumble with the precise steps to be taken. With the vision of smart logistics in mind and cost-efficient technologies available, they require a systematic methodology to exploit the potentials accompanying digitization. With the help of an effective and targeted workshop procedure, potentially appropriate application areas with promising benefit potentials can be identified effectively. Such a workshop procedure needs to be a stepwise approach in order to carefully consider all the relevant aspects and to allow for organizational acceptance to grow. In three real-world use case examples from different areas of the transportation and logistics industry, promising applications of cyber-physical systems and complex event processing are identified and pertaining event patterns of critical situations developed in order to make realization easier at a later stage. Each use case example exhibits a frequently occurring problem that can be effectively addressed by using the above-mentioned technology.

Keywords: smart logistics; transportation; transshipment; storage; logistics; cyber-physical systems; complex event processing; process-oriented event model; distributed event-based systems (search for similar items in EconPapers)
JEL-codes: L8 L80 L81 L86 L87 L9 L90 L91 L92 L93 L98 L99 M1 M10 M11 M16 M19 R4 R40 R41 R49 (search for similar items in EconPapers)
Date: 2018
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