Decentralized Control of Logistic Processes in Cyber-physical Production Systems at the Example of ESB Logistics Learning Factory

Schuhmacher, Jan; Hummel, Vera

doi:10.1016/j.procir.2016.04.095

Cited by 45 publications

(15 citation statements)

References 13 publications

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“…; Mrowczynska et al. ), production logistics (Schuhmacher and Hummel ; Wang and Tang ) or security and safety (Marucci‐Wellman et al. ).…”

Section: Literature Reviewmentioning

confidence: 99%

“…In the Magazino case, this represents not only individual but also swarm intelligence learning as robots communicate among each other and each training effort is instantly shared with all machines within a group. For transportation and logistics, there are already a large number of theoretical concepts and applications, for example, in the fields of traffic flow prediction and management (Julio et al 2015;Omrani 2015), transportation (Wojtusiak et al 2012;Mrowczynska et al 2017), production logistics (Schuhmacher and Hummel 2016;Wang and Tang 2017) or security and safety (Marucci-Wellman et al 2017). In order to understand these changes better, an overarching vision of a theoretical framework is discussed in the following section.…”

Section: The Physical Internet Visionmentioning

confidence: 99%

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Logistics Innovation and Social Sustainability: How to Prevent an Artificial Divide in Human–Computer Interaction

Klumpp

Zijm

2019

J of Business Logistics

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Human–computer interaction (HCI) is a cornerstone for the success of technical innovation in the logistics and supply chain sector. As a major part of social sustainability, this interaction is changing as artificial intelligence applications (Internet of Things, autonomous transport, Physical Internet) are implemented, leading to larger machine autonomy, and hence the transition from a primary executive to a supervisory role of human operators. A fundamental question concerns the level of control transferred to machines, such as autonomous vehicles and automatic materials handling devices. Problems include a lack of human trust toward automatic decision making or an inclination to override the system in case automated decisions are misperceived. This paper outlines a theoretical framework, describing different levels of acceptance and trust as a key HCI element of technology innovation, and points to the possible danger of an artificial divide at both the individual and firm level. Based upon the findings of four benchmark cases, a classification of the roles of human employees in adopting innovations is developed. Measures at operational, tactical, and strategic level are discussed to improve HCI, more in particular the capacity of individuals and firms to apply state‐of‐the‐art techniques and to prevent an artificial divide, thereby increasing social sustainability.

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“…; Mrowczynska et al. ), production logistics (Schuhmacher and Hummel ; Wang and Tang ) or security and safety (Marucci‐Wellman et al. ).…”

Section: Literature Reviewmentioning

confidence: 99%

Section: The Physical Internet Visionmentioning

confidence: 99%

Logistics Innovation and Social Sustainability: How to Prevent an Artificial Divide in Human–Computer Interaction

Klumpp

Zijm

2019

J of Business Logistics

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“…The emergence of CPSs and cross-linked CPPSs will lead to fundamental restructuring of manufacturing work and logistic systems and will require new forms of humanmachine interaction [34].…”

Section: Cyber-physical Systemsmentioning

confidence: 99%

Concept of Socio-Cyber-Physical Work Systems for Industry 4.0

Hozdić

Butala

2020

Teh. vjesn

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In this paper the concepts of advanced production systems based on the challenges that bring the new industrial revolution named -Industry 4.0 are presented. The presented concept of socio-cyber-physical work systems is based on connecting social, cyber and physical working environments into a single functional, productive entity of the appointed elementary socio-cyber-physical work system.The elementary socio-cyber-physical work system is a basic building block of the cyber-physical production systems at the manufacturing level. The cyber system of the elementary socio-cyber-physical work system enables autonomous decision-making and cooperation in the network system. The possibility of implementing the proposed concept is based on the introduction of agency technologies in the domain of modern production systems and the development of information-communication technologies for the advanced management and control of cyber-physical production systems. Some illustrative examples reflect the experimental results of a research work in the field of cyber-physical systems and demonstrate the potential possibilities of implementing the concept of sociocyber-physical work systems in the real industrial environment.Keywords: agent; cyber-physical system; Industry 4.0; internet of service; internet of things A new production philosophy, which has emergesd recently under the name of Industry 4.0, opens space for novel approaches to industrial production [1-7].Industry 4.0 is driven by new discoveries of sciences, enriched knowledge, new and enhanced materials and technologies, especially in the field of information and communication technologies (ICT). Besides, novel organizational forms and innovative managerial principles of emergence, self-organization, learning, open innovation, collaboration, and networking of humans and organizations will become the key elements of the next generation manufacturing systems.Recently, a new approach is emerging in terms of a cyber-physical production system (CPPS) [8], which upgrades in a way the mentioned attempts. It originates from the concept of cyber-physical systems (CPS) [9], and links physical and virtual components of a production system into a coherent whole.The concept of CPPS [10] merges the functionalities and benefits of CPS applied to the industrial context.The aim of this paper is the conceptualization of a socio-cyber-physical work system (SCPWS) for Industry 4.0.This work arises from the previous research in agentbased systems [11] and distributed manufacturing systems [11], and is based on the concept of cyber-physical production systems (CPPS) [12]. The paper presents the evolutionary development of the concept of adaptive distributed production systems (ADMS) [13]. Within CPPS [12] the elementary work systems (EWS) [14] are defined as building blocks. In this paper, the EWS is restructured in the spirit of the CPS.The main question here is how the elements of the new structured EWS and their relatioships are defined and how the new structured EWS participates coope...

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“…Schumacher and Hummel in der publication [5] proposed a decentral event-based control structure. It consists of "system-"and "scenario-specific nodes" which provide agent-like decision-making.…”

Section: Figure 1 Centralized Controlmentioning

confidence: 99%

Conception an Intelligent Node Architecture for Intralogistics

Bohács¹,

Gaspar²,

Kánya³

2018

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Intralogistics makes up an important part of the supply chains some call it the 'heart of the logistics'. Lately the appearance of cyber-physical systems has been caused significant changes in this area, enabling not only a set of interconnected devices, but let new concepts to be implemented. This paper presents a novel control structure between the centralized and decentralized concepts -the so called intelligent node -which opens new possibilities for local control of intralogistics processes. The paper surveys possible connection of the intelligent node to the simulation based digital twin.

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Decentralized Control of Logistic Processes in Cyber-physical Production Systems at the Example of ESB Logistics Learning Factory

Cited by 45 publications

References 13 publications

Logistics Innovation and Social Sustainability: How to Prevent an Artificial Divide in Human–Computer Interaction

Logistics Innovation and Social Sustainability: How to Prevent an Artificial Divide in Human–Computer Interaction

Concept of Socio-Cyber-Physical Work Systems for Industry 4.0

Conception an Intelligent Node Architecture for Intralogistics

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