Internet of Things Applications in Production Systems

Boza, Andrés; Cortes, B. Conceição; Cuenca, Llanos; Alarcón, F.

doi:10.5220/0005378903300337

Cited by 2 publications

(2 citation statements)

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“…It is possible to find useful general proposals for a wide range of industrial sectors, but also a specific proposal for given industrial sectors (Boza et al,2015). For example, Cao et al, (2011) present a proposal based on IoT for the toy sector, and Castro et al, (2011) for chemical industries, Hu et al, (2011) in the meat sector, Liu et Xu (2013) for aerospace industries and Qu et al, (2012) and for the agricultural sector.…”

Section: Applications Of Iot In Literaturementioning

confidence: 99%

Conceptual Framework for Applying Internet of Things in Production Systems for Sensing Enterprises

Boza¹,

Cortes²,

Alemany³

et al. 2016

Braz. J. of Operations & Production Manag.

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Sensing Enterprise is a new concept, which appears with the Internet of Things (IoT) application in industry. This technology applied in production systems provides many benefits like better transparency or real time information. This approach proposes a conceptual framework for IoT application in Production Systems. The aim of this framework is helping enterprises to identify the main elements to apply IoT in Production Systems. To create this framework, a literature re-view has been made and the main components of IoT in Sensing Enterprise in production proposals have been identify. Thus, these elements and its relations have been the source for the conceptual framework proposed.

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Section: Applications Of Iot In Literaturementioning

confidence: 99%

Conceptual Framework for Applying Internet of Things in Production Systems for Sensing Enterprises

Boza¹,

Cortes²,

Alemany³

et al. 2016

Braz. J. of Operations & Production Manag.

View full text Add to dashboard Cite

show abstract

“…Therefore, the ability to cope with these changes and helping decision makers react in the best way, are important issues that must be taken into account in the systems and planning processes. Some studies have proposed that manufacturing systems should be sufficiently flexible and robust in order to efficiently handle unexpected events [7,8] and new proposals arise for a better information management in production, such as Internet of Things [9]. However, most of the work in these areas only considers certain types of unexpected events, or provides limited assistance to manage how people react to them.…”

Section: Hierarchical Production Planning and Operational Riskmentioning

confidence: 99%

Risk Management in Hierarchical Production Planning Using Inter-enterprise Architecture

Vargas

Boza

Patel

et al. 2015

Risks and Resilience of Collaborative Networks

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Abstract. Unexpected events in hierarchical production planning, such as rush orders, labor problems, lack of availability of materials and faulty machines have to be managed efficiently because they represent a risk for business continuity, based on their impact and duration. The use of inter-enterprise architecture offers multiple benefits for collaborative networks, including: business strategy and information technology alignment, joint process integration and synchronization, supply chain cost reduction, risk and redundancy minimization and customer services improvement. Therefore, the use of inter-enterprise architecture to address the problem of unexpected events in hierarchical production planning supporting operational risk management is proposed. This paper presents a model for inter-enterprise architecture that addresses the problem of handling unexpected events in hierarchical production planning and how the inter-enterprise framework is embedded into the model.

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Internet of Things Applications in Production Systems

Cited by 2 publications

References 0 publications

Conceptual Framework for Applying Internet of Things in Production Systems for Sensing Enterprises

Conceptual Framework for Applying Internet of Things in Production Systems for Sensing Enterprises

Risk Management in Hierarchical Production Planning Using Inter-enterprise Architecture

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