The Lean Manufacturing (LM) philosophy is applied in different kinds of companies and their branches. LM uses many methods. Several enterprises, order to minimize costs, use poor quality materials or overload workers with work. They do not realize other possibilities for the improvement enterprise effectiveness. are also troubled by unknown. This problem particular cases related concept. paper shows results study carried out SMEs from branches Podkarpackie Voivodship (Poland). way system...

This paper presents an empirical study on the impact of maintenance function more sustainable manufacturing processes. The work methodology comprises four stages. At first, ten factors activities from a point view were identified. Then, in second stage, matrix crossed multiplications applied to classification (MICMAC) was carried out categorize these based their influence and dependence values. In third criteria for evaluation defined, then fuzzy analytic hierarchy process (F-AHP) determine...

The increase in the performance and effectiveness of maintenance processes is a continuous aim production enterprises. elimination unexpected failures, which generate excessive costs losses, emphasized. elements that influence efficiency are not only choice an appropriate conservation strategy but also use methods tools to support decision-making process this area. research problem, was considered paper, insufficient means assessing degree implementation lean maintenance. This problem...

This article presents an investigation of the use machine learning methodologies for prediction surface roughness in milling operations, using sensor data as primary source information. The sensors, which included current transformers, a microphone, and displacement captured comprehensive machining signals at frequency 10 kHz. were subjected to preprocessing Savitzky–Golay filter, with objective isolating relevant moments active material reducing noise. Two models, namely Elastic Net neural...

The increasing complexity of artificial intelligence and machine learning models has raised concerns about balancing model accuracy interpretability. While advanced software tools facilitate design, they also introduce challenges in selecting that offer both high quality manageable complexity. Validation techniques such as Root Mean Squared Error (RMSE), Absolute (MAE), the Akaike Information Criterion (AIC) enable quantitative assessment, but empirical studies indicate higher does not...

Unexpected failures, the loss of production, and higher maintenance costs are major problems manufacturing systems. Hence, certain investigating methods, such as Risk-based (RBM), help to deal with issues. An important element RBM planning is assess consequences action prioritization tasks based on risk potential failures. The main purpose this classification right choice for strategy, intervals, a level spare parts in storage. This manuscript illustrates use fuzzy logic minimization...

The efficiency of maintenance processes in an enterprise largely depends on ensuring adequate resources for its implementation. main factor that affects the quality these is competent employees. Their knowledge, skills and ability to respond unexpected situations determine functioning technical infrastructure enterprise. In light prospects development Industry 4.0 concept, and, thus, highly automated systems, demand qualified employees will increase. Therefore, order ensure right level...

Lean maintenance concept is crucial to increase the reliability and availability of equipment in manufacturing companies. Due elimination losses processes this reduce number unplanned downtime unexpected failures, simultaneously influence a company’s operational economic performance. Despite widespread use lean maintenance, there no structured approach support choice methods tools used for function improvement. Therefore, paper by using machine learning rough set theory new was proposed....

The purpose of this paper is to identify the barriers I4.0 technologies implementation in maintenance. Based on literature analysis twenty two are determined and classified into five main groups such as "Strategy Organization"; "Maintenance staff knowledge training"; "Resources"; "Technology infrastructure" "Security confidentiality". Experts' opinions were taken finalize identified barriers. data for study collected from academia experts have been further analyzed. results show that only...

The process quality capability indicators Cp and Cpk are widely used to measure capability. Traditional metric estimation methods require data be explicit normally distributed. Often, the actual obtained from production regarding measurements of features incomplete do not have a normal distribution. This means that use traditional estimating may lead erroneous results. Moreover, in case qualitative characteristics where two-sided tolerance limit is specified, it should very difficult....

Improving the efficiency of maintenance processes is one goals companies. Improvement activities in this area require not only an appropriate strategy but also use a new approach to increase process. This article focuses on using Six Sigma (SS) improve processes. As introduction, generations SS development are identified, and traditional advanced analytical tools that can be useful projects reviewed. part research, example implementation project process DMAIC selected methods, such as PCA...

Increasing the efficiency and effectiveness of maintenance processes is a constant goal production companies. The elimination unexpected failures that generate excessive costs losses emphasized. Not only selection an appropriate strategy, but also use methods tools to support decision-making process in this area, are elements affect efficiency. article presents possibility using Six Sigma methodology improve process. For purpose, qualitative quantitative research were used analyze results...

Nowadays, companies are looking for newer and methods in order to increase their efficiency effectiveness.Many of them decide implement Lean Manufacturing philosophy because the benefits introduction this apply not only industrial but also financial commercial areas.These changes can production realized with small investments, improve product quality, reduce inventory as well material consumption.This shorten delivery time quality what leads increased customer satisfaction enhances...

Manufacturing companies continually aim at increasing the performance and effectiveness of maintenance processes. The emphasis is put on elimination unexpected failures which generate unnecessary costs production losses. element that has an impact efficiency not only selection appropriate conservation strategy use methods tools to support decision-making process in this area. work present possibility using intelligent systems processes implementation Lean Maintenance concept, allows increase...

Logistics processes, their effective planning as well proper management and implementation are of key importance in an enterprise. This article analyzes the process supplying raw materials necessary for production tasks. The specificity examined waste processing company requires knowledge about size potential deliveries because delivered must be properly managed stored due to its toxicity natural environment. In article, hidden Markov models were used assess level supply. They a statistical...

Asset life cycle management is not a new concept for industries [...]

Manufacturing processes in industry applications are often controlled by the evaluation of surface topography. Topography, its overall performance, includes form, waviness, and roughness. Methods measurement roughness can be roughly divided into tactile contactless techniques. The latter ones much faster but sensitive to external disturbances from environment. One type source error, while topography occurs, is a high-frequency noise. This noise originates vibration measuring system. In this...

This article presents the results of tests aimed at determining effect slide burnishing parameters on surface roughness shafts made 42CrMo4 heat-treatable steel. The process was carried out using tools with polycrystalline diamond and cemented carbide tips. Before burnishing, samples were turned a turning lathe to produce an average Ra = 2.6 µm. investigations according three-leveled Hartley’s poly selective quasi D (PS/DS-P: Ha3) plan, which enables regression equation in form second-order...

Abstract Drilling operations involve many different companies like the operating company, drilling contractor, and several service companies. The personnel at rig site contribute to provide recommended actions construct well as smoothly efficiently possible. question is whether it possible design an interoperability infrastructure that allows computer systems of each these communicate with other's a pathway for seamless automation process across multiple stakeholders. A group volunteers from...

Abstract Over the past decade, adoption of drilling process automation solutions has significantly enhanced operation efficiency. This improvement been achieved because Drilling Control System (DCS) providers have enabled external service companies to offer dynamic advice that can be used parameterize Automatic (ADCS) functions. However, developing externally managed ADCS functions poses challenges, particularly given risk potential failures due spurious parameters. Therefore, it is...

The growing demand for high-performance and cost-effective composite materials necessitates advanced computational approaches optimizing their composition properties. This study aimed at the application of machine learning prediction optimization functional properties composites based on a thermoplastic matrix with various fillers (two types fibrous, four dispersed, two nano-dispersed fillers). experimental methods involved material production through powder metallurgy, further...

The efficiency of border crossing services depends on a number parameters, including the scope control activities, vehicles to be serviced and human resources involved. paper presents mathematical model allowing optimization service parameters at point. queuing theory was implemented due unbalanced nature processes. Scientific interest relates in international goods delivery under conditions random arrival, with uneven intensity servicing by state administrative border. takes into account...