Automation of Process Performance Management in a Company

Tasić, Nemanja; Đurić, Željko; Malešević, Dane; Maksimović, Rado; Radaković, Nikola

doi:10.17559/tv-20151010074417

Cited by 2 publications

(1 citation statement)

References 4 publications

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“…A good information system is required to connect different concepts. Automation of the collection and processing of information is important for process improvement [4]. Several fields of knowledge can contribute to this end, such as robotics, materials, information, informatics, manufacturing among other fields, including Discrete-Event Simulation (DES), which can play a very relevant role [3,5,6].…”

Section: Introductionmentioning

confidence: 99%

Using Maturity Model and Discrete-Event Simulation for Industry 4.0 Implementation

Gajšek¹,

Marolt²,

Rupnik³

et al. 2019

Int. j. simul. model.

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Production environments worldwide transform themselves in order to take the best advantage of the Industry 4.0 guidelines. Automation, data exchange, cyber-physical systems, the IoT, cloud and cognitive computing represent a step in the unknown to these companies, associated with high risks and also the need to restructure their culture. If the execution route is not clearly defined and understandable to all levels of employees, the renovation is too long. The maturity models can be used for the assessment of current Industry 4.0 maturity level, but the practical use of scores and assessed level often requires the involvement of consulting firms. Companies can avoid the involvement of consulting companies with the use of complementary tools. In this paper, we propose a new methodology that combines the Industry 4.0 maturity model and discrete-event simulation tools in the case of steel production company with the possibility of generalization. The combination of these tools in the first step helps the company to assess its current level of maturity for Industry 4.0, and in the second step helps to consider about strengths and weaknesses of possible scenarios for transition to a higher level of maturity.

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Section: Introductionmentioning

confidence: 99%

Using Maturity Model and Discrete-Event Simulation for Industry 4.0 Implementation

Gajšek¹,

Marolt²,

Rupnik³

et al. 2019

Int. j. simul. model.

View full text Add to dashboard Cite

show abstract

Advanced energy management approach in food industry

Rajić¹,

Milosavljevic²,

Maksimović³

et al. 2020

Adv Techol

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Energy represents a key aspect that characterizes the ability of an enterprise to maintain its sustainable business. It is also considered as a key resource, while its consumption should be monitored and controlled. The standard for the energy management system used widely in industry is ISO 50001. This standard specifies the requirements for the energy management system by introducing the material and the energy flow analysis. This paper presents the application of the energy management approach to identify the energy profile of the enterprise in the food industry sector. The energy flow was identified in order to have full insight into all energy consumption users. Based on the measured and calculated results, the energy performance indicators were obtained and compared with similar processes in the food industry. The aim of the paper is to analyze the energy demand in a production enterprise, to have insight into the material and energy flows in the process in order to optimize the production process.

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Automation of Process Performance Management in a Company

Cited by 2 publications

References 4 publications

Using Maturity Model and Discrete-Event Simulation for Industry 4.0 Implementation

Using Maturity Model and Discrete-Event Simulation for Industry 4.0 Implementation

Advanced energy management approach in food industry

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