Automation of Production Activities of an Industrial Enterprise based on the ERP System

Syreyshchikova, N. V.; Pimenov, Danil Yu.; Mikołajczyk, Tadeusz; Moldovan, Liviu

doi:10.1016/j.promfg.2020.03.075

Cited by 21 publications

(12 citation statements)

References 17 publications

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“…Figure 2 shows the possible causes of waste, including shop floor waste and environmental waste, found in a comprehensive literature review. The previous researchers argued that waste directly impacts worker performances, whether it is related to the environment or the shop floor [59,60]. Furthermore, they demonstrated that environmental waste results in inconvenient operational conditions and shop floor waste results in higher lead time.…”

Section: Literature Reviewmentioning

confidence: 99%

An Innovative Agile Model of Smart Lean–Green Approach for Sustainability Enhancement in Industry 4.0

Tripathi¹,

Chattopadhyaya

Mukhopadhyay

et al. 2021

Journal of Open Innovation: Technology, Market, and Complexity

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Industry 4.0 emphasizes developing an innovative approach to eliminating the problems caused by environmental and shop floor waste, which is accomplished by a suitable process optimization approach. The process optimization approach is used to maximize productivity within limited constraints by observing end-to-end management systems. The present research work developed an innovative agile model using the lean, smart, and green approach to improve operational performance within limited constraints in Industry 4.0. The proposed model was developed by thoroughly reviewing research articles conducted over the past decades on process optimization approaches that include lean manufacturing, smart manufacturing, kaizen, and lean six sigma. The model was validated through two real production case studies in the mining machinery and automobile industries. The present article concluded that overall operational performance was enhanced in both case studies by improvement in different factors, including working environment, worker efficiency, environmental evolution, logistics management, and resources utilization. The authors of the present article strongly believe that the proposed innovative agile model would help people in industry make aesthetic and smart sustainable production systems in Industry 4.0 within limited constraints.

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Section: Literature Reviewmentioning

confidence: 99%

An Innovative Agile Model of Smart Lean–Green Approach for Sustainability Enhancement in Industry 4.0

Tripathi¹,

Chattopadhyaya

Mukhopadhyay

et al. 2021

Journal of Open Innovation: Technology, Market, and Complexity

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“…Organizations of all types and sizes face internal and external factors and impacts, which cause uncertainty. The goals of an enterprise may cover various aspects of its activities: from the strategy to the production of goods (Siferd and Smeltzer 1998;Tayal et al 2021), to process (Shojaei and Haeri 2019;Syreyshchikova et al 2020a) and project development (Verma and Sinha 2020). The influence of uncertainty on an organization's goals is a risk, in essence.…”

Section: Introductionmentioning

confidence: 99%

Managing Risks in the Improved Model of Rolling Mill Loading: A Case Study

Syreyshchikova

Pimenov

Yaroslavova

et al. 2021

JRFM

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This article reflects the main sources of risks for metallurgical enterprises in Russia, presenting the implementation of an innovative approach to increasing the competitiveness of an industrial enterprise, which is a typical representative of large enterprises of the metallurgical industry, based on the development of risk-oriented thinking when loading rolling mills with orders of intersecting assortment according to a new model. To reduce the emerging risks of a new model of the loading process of rolling mills of a metallurgical enterprise, it is proposed to take into account the risks in a complex way, taking into account their interactions with the use of integrated risk management (IRM). Practical development of the implemented approach was carried out by identifying the risks of the new improved loading process and their causes at each stage of the process. Risks were identified by analysis, qualitative and quantitative assessment of the likelihood of risks and the severity of consequences from their implementation with the establishment of events with a high potential hazard. Possible causes of hazardous events have been identified. To reduce the likelihood of unfavorable events, measures have been developed to influence significant risks and their effectiveness has been determined. The development of an innovative approach using risk-based thinking in a previously unexplored field of the application provides competitive advantages for enterprises of the metallurgical industry, increases income by reducing the cost of manufacturing products and production volumes by reducing time costs, achieving an economic efficiency of up to 10 million rubles per year. The practical significance of the dissemination of development results in similar industries is obvious and relevant for metallurgy as a whole.

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“…Table 8 shows the actions taken to improve the shop floor, while Table 9 shows the list of requirements for the different processes of the shop floor. By inspecting the production on the shop floor and analyzing the information gathered from many sources, it was found that some of the activities and processes involved in production are the cause of high PT, which need to be eliminated [47][48][49][50][51]. Table 8 shows the actions taken to improve the shop floor, while Table 9 shows the list of requirements for the different processes of the shop floor.…”

Section: Resultsmentioning

confidence: 99%

An Agile System to Enhance Productivity through a Modified Value Stream Mapping Approach in Industry 4.0: A Novel Approach

Tripathi¹,

Chattopadhyaya

Bhadauria

et al. 2021

Sustainability

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Worldwide, industries are emphasizing the development of an agile system to sustain higher productivity, which can be applied to ensure improvements in all production conditions in industry 4.0. In the present scenario, several methods are used for improvements in production, such as value stream mapping, kaizen, just in time, Kanban, and total productive maintenance, etc., The objective of the present research article is to produce an agile system to sustain improvements in productivity through a methodology coupled with value stream mapping in industry 4.0. Value stream mapping is a lean-based method and is used for the maximization of productivity by the elimination of non-value-added activities. The proposed methodology has been validated by productivity enhancements achieved in a case study of the earthmoving machinery manufacturing sector. The study establishes that the proposed methodology would encourage industry personnel during decision-making processes, which would lead to improvements in production in industry 4.0.

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Automation of Production Activities of an Industrial Enterprise based on the ERP System

Cited by 21 publications

References 17 publications

An Innovative Agile Model of Smart Lean–Green Approach for Sustainability Enhancement in Industry 4.0

An Innovative Agile Model of Smart Lean–Green Approach for Sustainability Enhancement in Industry 4.0

Managing Risks in the Improved Model of Rolling Mill Loading: A Case Study

An Agile System to Enhance Productivity through a Modified Value Stream Mapping Approach in Industry 4.0: A Novel Approach

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