Expected utility of maintenance policies under different manufacturing competitive priorities: A case study in the process industry

Sellitto, Miguel Afonso

doi:10.1016/j.cirpj.2022.06.012

Cited by 3 publications

(2 citation statements)

References 52 publications

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“…In this phase, the main goal is to update critical manufacturing and sampling processes, such as eventual bottlenecks or sources of variability that may be identified in the evaluation phase. Experiments, prototypes, and partial implementations are conducted to verify the feasibility of equipment updating, which may include retrofitting of critical machines [39]. The results of parameter optimizations are recorded to develop, improve, and establish the new manufacturing process.…”

Section: Resultsmentioning

confidence: 99%

Industry 4.0 and Smart Systems in Manufacturing: Guidelines for the Implementation of a Smart Statistical Process Control

Goecks,

Habekost,

Coruzzolo

et al. 2024

ASI

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Digital transformations in manufacturing systems confer advantages for enhancing competitiveness and ensuring the survival of companies by reducing operating costs, improving quality, and fostering innovation, falling within the overarching umbrella of Industry 4.0. This study aims to provide a framework for the integration of smart statistical digital systems into existing manufacturing control systems, exemplified with guidelines to transform an existent statistical process control into a smart statistical process control. Employing the design science research method, the research techniques include a literature review and interviews with experts who critically evaluated the proposed framework. The primary contribution lies in a set of general-purpose guidelines tailored to assist practitioners in manufacturing systems with the implementation of digital, smart technologies aligned with the principles of Industry 4.0. The resulting guidelines specifically target existing manufacturing plants seeking to adopt new technologies to maintain competitiveness. The main implication of the study is that practitioners can utilize the guidelines as a roadmap for the ongoing development and implementation of project management. Furthermore, the study paves the way for open innovation initiatives by breaking down the project into defined steps and encouraging individual or collective open contributions, which consolidates the practice of open innovation in manufacturing systems.

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Section: Resultsmentioning

confidence: 99%

Industry 4.0 and Smart Systems in Manufacturing: Guidelines for the Implementation of a Smart Statistical Process Control

Goecks,

Habekost,

Coruzzolo

et al. 2024

ASI

Self Cite

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“…The essential performance metric of a maintenance strategy is availability, computed by dividing the aggregate duration of trouble-free operation by the designated timeframe. In top-tier manufacturing practices, the availability should surpass the threshold of 90% (Sellitto, 2022). The company employs three classic maintenance definitions, namely run-to-failure, preventive and predictive policies.…”

Section: Discussion: Managerial Theoretical Implications and Guidelin...mentioning

confidence: 99%

Enhancing the efficiency of a gas-fueled reheating furnace of the steelmaking industry: assessment and improvement

Sampaio Brasil,

Piran,

Lacerda

et al. 2024

MEQ

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PurposeThe purpose of this study is to evaluate the efficiency of a Brazilian steelmaking company’s reheating process of the hot rolling mill.Design/methodology/approachThe research method is a quantitative modeling. The main research techniques are data envelopment analysis, TOBIT regression and simulation supported by artificial neural networks. The model’s input and output variables consist of the average billet weight, number of billets processed in a batch, gas consumption, thermal efficiency, backlog and production yield within a specific period. The analysis spans 20 months.FindingsThe key findings include an average current efficiency of 81%, identification of influential variables (average billet weight, billet count and gas consumption) and simulated analysis. Among the simulated scenarios, the most promising achieved an average efficiency of 95% through increased equipment availability and billet size.Practical implicationsAdditional favorable simulated scenarios entail the utilization of higher pre-reheating temperatures for cold billets, representing a large amount of savings in gas consumption and a reduction in CO2 emissions.Originality/valueThis study’s primary innovation lies in providing steelmaking practitioners with a systematic approach to evaluating and enhancing the efficiency of reheating processes.

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Envisioning maintenance 5.0: Insights from a systematic literature review of Industry 4.0 and a proposed framework

Psarommatis

May

Azamfirei

2023

Journal of Manufacturing Systems

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Expected utility of maintenance policies under different manufacturing competitive priorities: A case study in the process industry

Cited by 3 publications

References 52 publications

Industry 4.0 and Smart Systems in Manufacturing: Guidelines for the Implementation of a Smart Statistical Process Control

Industry 4.0 and Smart Systems in Manufacturing: Guidelines for the Implementation of a Smart Statistical Process Control

Enhancing the efficiency of a gas-fueled reheating furnace of the steelmaking industry: assessment and improvement

Envisioning maintenance 5.0: Insights from a systematic literature review of Industry 4.0 and a proposed framework

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