Production Process Management Research Articles

Effect of Reducing the Size and Number of Faces of Polyhedral Specimen on Wood Characterization by Ultrasound.

The complete characterization of wood, with the determination of the 12 elastic constants that represent its orthotropy, is greatly relevant in applications employing structural calculation software programs. Ultrasound allows for such characterization with relative simplicity when compared to other methods. The polyhedron is considered the most appropriate specimen format for allowing the 12 constants to be calculated with a single specimen, and the traditionally used one is the 26-sided polyhedron, which, to be produced manually with more precision in directing the main directions of the wood, needs larger faces. The accuracy of this technique tends to be reduced when increasing the growth rings' inclination since the waves deviate from the main directions of orthotropy. This research aimed to verify whether it is possible to reduce the polyhedra dimension without affecting the results of the elastic parameters obtained in wood characterization by ultrasound. The results indicate that the dimension of the polyhedron can be reduced without prejudice to the results of the elastic parameters obtained by the ultrasound test and that, in the manual production process of the specimen, the best way to make this reduction is to eliminate the faces unused in the test, changing the polyhedron to 18 faces instead of 26. Reducing the number of faces simplifies the manufacturing process and thus increases the possibility of producing specimens with straighter growth rings and better-directed symmetry axes.

MCDM model to rank the performance outcomes in the implementation of Industry 4.0

PurposeIndustry 4.0 has received significant attention in today's competitive business market, necessitating a restructuring of functional domains in nearly every manufacturing organization. A comprehensive strategy to improve performance in preparation for Industry 4.0 implementation necessitates several steps, one of which is the establishment of performance outcomes (POs). The aim of this paper is to identify and rank the POs realized due to the adoption of Industry 4.0 enablers.Design/methodology/approachBased on an extensive literature review and inputs received from experts, a comprehensive list of enablers and the POs was prepared and finalized. This paper proposes a framework based on hybrid solution methodology, namely Neutrosophic Analytical Hierarchy Process (N-AHP) and Neutrosophic Combined Compromise Solution (N-CoCoSo), to rank the POs realized due to the adoption of Industry 4.0 enablers. The N-AHP methodology has been adopted to calculate the relative weights of the Industry 4.0 enablers. In comparison, the N-CoCoSo method has been adopted to rank the POs of Industry 4.0.FindingsThe proposed framework is applied to an Indian manufacturing organization to test the organization's practical applicability. Additionally, sensitivity analysis is also carried out to check the steadiness of the proposed framework. The findings of this study revealed that “Improved responsiveness to market conditions in today's competitive business environment” is the top-ranked PO of Industry 4.0, followed by “Enhanced competitiveness and better market share”, “Better product quality, through smart management of production process” and “Reduction in manufacturing waste and environmental sustainability” which could be realized due to adoption of its enablers.Practical implicationsThis research would aid practitioners by enhancing the practitioners' capacity to understand and prioritize the various POs resulting from implementing Industry 4.0 enablers. Embracing a clear strategic plan will further assist practitioners in improving the efficiency of Industry 4.0 implementation.Originality/valuePrevious literature has only addressed the relationship between Industry 4.0 enablers and POs in a limited way. This paper attempts to compile a comprehensive list of Industry 4.0 enablers relevant to manufacturing organizations in order to fill this knowledge and research gap.

Analysis of Physiological Workload in Tofu Production Process Based on Energy Recovery at Rest

UD. Koder is a manufacturing company that processes raw materials into finished products in Sidoarjo. The production process is one of UD's production processes. Koder is still with manual performance. Manual production processes with flexible body movements and a lot of physical loads still depend on the ability of workers and require human labor. The assessment of the level of physical workload of workers is not clear. The purpose of this study was to examine the categories of physical stress on workers in manual production processes using physiological methods. The method used is to measure heart rate at work and at rest, as well as evaluate worker psychology in the form of consideration of heart rate reserve (%HRR), cardiovascular load (%CVL), and energy expenditure factor (KE). The results showed that the amount of energy expenditure for each worker included Faris (7.0 Kcal/minute), Muit (4.7 Kcal/minute), Budi (4.4 Kcal/minute), Gito (4.9 Kcal/minute), Sudar (5.0 Kcal/minute), Dito (4.6 Kcal/minute), Joni (4.9 Kcal/minute) resulting in an item of average energy expenditure (5.1 Kcal/minute) where all workers were at a moderate level. The recommended improvement for production workers is that the rest time is 1 minute 27 seconds each time the process is continuous.

PROBLEM SOLVING APPROACH ON CONSUMER DECISION ANALYSIS

This study proposes an approach to analyse the consumption of goods provided within the socio-cultural process (social sphere). Based on the study of individual social and economic characteristics of goods, the traditional approach is not sufficient for the management of production and consumption processes. An alternative model is argued, in which the process of consumer decision-making takes center stage. When consumption is recognised as a problem-solving process, the underlying structural-functional relationships of consumption can be modelled and analysed in their entirety. The theoretical verification of the model is based on a compatibility study with rational motivations in behavior, and uncertainty and risk in consumption.

Features of MES+ implementation at an industrial enterprise

The material presents a case study of the project for the implementation of the MES+ production process management system, implemented by the Constant company together with the team of the Chernyshikhinsky meat Processing plant. According to the results of using the system, there is an increase in productivity, a decrease in production losses of all types, as well as an increase in the reaction speed in making managerial decisions.

Relationships between Selected Quality Tools and Energy Efficiency in Production Processes

European manufacturing companies are currently in a very difficult situation. On the one hand, they have to strive for sustainable development. On the other hand, they have to face problems related to the geopolitical situation and the pursuit of cleaner production (including restrictive regulations on emissions). A significant increase in electricity prices means that companies have to take steps to use electricity rationally without reducing the level of production or incurring other additional costs. In this study, attention was paid to the influence of quality tools (QTs) in production process (PP) management on increasing energy efficiency (EE). Based on the literature review, it was found that the most frequently described QTs, i.e., SMED, TPM, Six Sigma, SPC, FMEA, 5S, or Poka-Yoke, used to improve PP did not take into account their impact on the EE of the enterprises. Therefore, the main purpose of this study was to examine this correlation and show that QTs can be helpful in shaping the energy management system (EMS). Achieving the research goal was possible thanks to surveys carried out among manufacturing companies. Using statistical tests, the existence of a statistically significant correlation was proved between QTs and EMS elements.

Специализация машиностроительного производства

Specialization types such as subject, technological, their levels and areas of their effective application are viewed. Since any specialized production is aimed at running-out production, so subject specialization is primary, for example, in the produc-tion of automobiles, as for technological specialization, it is secondary, for it shows a technological method to allow making a product, for example, in the foundry production. The level of subject specialization and the level of technological special-ization should dovetail into one another. It is shown that the types of production (unit, full-scale, mass) are based on the cor-responding levels of subject and technological specialization, the lower the level of subject specialization, the lower the level of technological specialization. For example, small volume manufacturing is due to a low level of subject specializa-tion. An increase in the level of subject specialization results in the level increase in technological specialization - manufac-turing production process management, etc. Subject-specific specialized production can be divided into two groups: the first group includes the production of products that meet human needs, for example, vehicles and means of their engineering sup-port, for example, machine tools. The second group includes specialized production of their elements (assemblies, parts), for example, pumps, motors, screws, nuts, etc. The problem of specialized production management of products related to the sec-ond group is the lack of complete information about their design diversity and frequency of application. To solve the prob-lem, it is proposed to consider the products of the second group in a modular representation, which allows all their diversity to be divided into two groups: functional technological modules (FTM) that ensure the performance of a product's function-al purpose and functional service modules (FSM) that ensure (FTM) functioning. On this basis, a systematic approach ap-plicable for specialized production management for products of the second group, is given It is shown that for the implemen-tation of the proposed system approach in the specialized production management for the products of the second group, it is necessary to build a database of two types: FTM database and the FSM database.

Errors of non-contact temperature measurement

In recent years, there is a trend of improving the performance and efficiency of all existing measuring instruments due to a leap in technology. Almost every industry uses a variety of technologies that apply temperature control. Temperature of a heated body can be estimated by measuring the parameters of its thermal radiation, which are electromagnetic waves of different lengths. Temperature measurement is necessary for comfortable automatic control and management of production processes. The use of non-contact means makes it possible to measure the temperature of, firstly, moving objects, secondly, objects in inaccessible places, thirdly, to avoid damage to the measuring instruments when controlling large temperatures. High speed, the possibility of measuring temperature without disconnecting the object from the technological process, ensuring personnel safety, temperature measurement up to 3000 °C – these are the advantages of non-contact temperature measurement method. To obtain reliable values when measuring thermophysical quantities it is necessary to know the processes occurring in interaction of the measuring device or sensor with the object of measurement. These processes affect the magnitude of the measurement error, that is, magnitude of the result deviation from the true value of the measured parameter. This paper describes the errors of non-contact temperature measurement of pyrometers, namely total radiation pyrometer, partial radiation pyrometer, spectral ratio pyrometer, as well as shows the results of comparative calculations between them. Expressions for the evaluation of methodical errors of total radiation, partial radiation and spectral ratio pyrometers are given, as well as the results of comparative calculations of errors are shown.

CLDN6 CAR-T cell therapy of relapsed/refractory solid tumors ± a CLDN6-encoding mRNA vaccine: Dose escalation data from the BNT211-01 phase 1 trial using an automated product.

2518 Background: We are developing a chimeric antigen receptor (CAR)-T cell therapy targeting claudin 6 (CLDN6), an oncofetal antigen that is undetectable in healthy somatic tissue and highly expressed in various solid cancers. Autologous CLDN6 CAR-T cells are being tested alone and in combination with CLDN6-encoding CAR-T cell Amplifying RNA Vaccine (CARVac), a nanoparticulate RNA vaccine designed to stimulate and expand CLDN6 CAR-T cells. Methods: The ongoing first-in-human trial BNT211-01 evaluates the safety and feasibility of CLDN6 CAR-T cell transfer ± CARVac in lymphodepleted patients with relapsed/refractory solid tumors. Patients are pre-screened for CLDN6 expression with a cut-off of 50% positivity of intermediate or strong intensity by immunohistochemistry staining. Key endpoints are safety, tolerability, and anti-tumor activity. Pharmacokinetics of adoptively transferred CAR-T cells in peripheral blood is monitored by quantitative PCR. Dose escalation proceeds according to a classical 3+3 design, testing CLDN6 CAR-T cells at each dose level as both as monotherapy and in combination with CARVac. We previously reported results from 22 patients from 4 dose escalation cohorts with a manual CAR-T production process ± CARVac (ESMO-IO LBA38) which followed the same methodology. We observed durable responses along with a manageable safety profile, in line with commercial CAR-T products used to treat B-cell malignancies. No on-target/off-tumor toxicity and only a single case of (grade 1) neurotoxicity was observed. Given the encouraging efficacy, we have implemented an automated process to scale-up manufacturing. Accordingly, we are repeating the dose escalation with an automated CAR-T cell product, and with a modified CARVac regimen. As of 1st February 2023, 7 patients with epithelial ovarian carcinoma (EOC), 4 with testicular germ cell tumors (GCT), and a further 5 patients with tumors of various indications have been infused with CAR-T cells up to DL2. We intend to submit efficacy, safety and CAR T-cell pharmacokinetics data from 5 cohorts treated with 1x106, 1x107 or 1x108 CLDN6 CAR-T cells ± CARVac with a data cut-off of March 14th, 2023 from ≥17 treated patients as a late-breaking abstract. Clinical trial information: NCT04503278 .

Automation of Bricket Charcoal Press Machine to Increase Production Capacity in Kampoeng Oase Ondomohen Surabaya

Kampoeng Oase, is one of the educational village tourist destinations located on Jalan Ondomohen Magersari V, Ketabang Village, Genteng District, Surabaya City. It is named the educational village because this village has succeeded in processing waste into something that has a high selling value. But behind the success in processing the waste, there are some problems in Kampoeng Oase, especially in producing charcoal briquettes. Problems related to the aspect of increasing production capacity have been carried out by automated tools for making charcoal briquettes using the latest technology. By using an automatic press machine, Kampoeng Oase can now produce charcoal briquettes with a minimal amount of labor and a shorter processing time compared to the manual production process. By utilizing waste in charcoal briquettes, it can solve problems related to waste management and protect the environment and help encourage a circular economy to improve welfare, especially for the people of Kampoeng Oase Ondomohen Surabaya.

Agro Analysis System for Precision Agriculture

Abstract: Huge amount of data is collected by the sensors from the end. Subsequently, this considerably big amount of data must be processed, analyzed and stored in a cost effective way. In this manner, an enormous pool of computing resources and storage must be provided to compute this vast amount of data. We focused on introducing the latest technologies such as sensors, WSN to radically revise approaches to agriculture by collecting the data about the various parameters of soil, analyzing the data and performing the computations, giving the best optimal solutions for the farming. The application of computing in the agricultural economy will open up a vast range of prospects, such as the vast storage of agriculture information, the cloud management of agricultural production process, the storage of agricultural economy information, early-warning and policymaking based on the agricultural products market, the tracing management of agricultural products quality.

Адаптивная система функционирования агромелиоративного ландшафта в условиях Кабардино-Балкарской Республики

The article proposes an adaptive system for the functioning of the agro-reclamation landscape in the conditions of the Kabardino-Balkarian Republic. A procedure for the formation and implementation of the technological scheme of the specified system has been developed. Using the developed system, the selection of appropriate agricultural crops for 60 microsubzones of three functional zones of the Kabardino-Balkarian Republic was made. An algorithm for solving some functional problems of managing production processes is given. Keywords: AGRICULTURAL LANDSCAPE, MONITORING, FUNCTIONING, VARIABILITY, STABILITY, FUNCTIONAL AND ADAPTIVE POTENTIAL

Review of Plant Respiration Management and Tracking

The creation of a self-configuring network has been revolutionized by Internet of Things (IoT) technology. In addition to improving agriculture production, the development of intelligent smart farming IoT-based equipment is also lowering waste and increasing cost-effectiveness. The majority of jobs in our country have historically been in agriculture. Currently, the movement of people from rural to urban areas is hindering agriculture. So, to solve this issue, we turn to IoT-based smart agriculture solutions. It is essential to intelligent agriculture. IoT sensors can provide information about agricultural fields and then act on it based on user input, making smart agriculture an emerging concept. To compute this massive amount of data, a sizable pool of processing power and storage must be made available. We concentrated on bringing the most recent technology, such as sensors and IoT, to fundamentally alter agricultural ways by gathering information about numerous soil factors, analyzing the information, and running computations to provide the finest farming solutions. A wide range of opportunities will be made possible by the use of computing in the agricultural economy, including the massive storage of agricultural data, Management of agricultural production processes in the cloud, information storage about the agricultural economy, early warning and policy creation based on the market for agricultural products, and management of the traceability of agricultural product quality. The project aim is to develop such a monitoring and controlling system to collect data from the field and store it on an IoT platform for accessing it by the user from any point of the world. That not only monitors the field but also operates automatically by turning ON the water pump if the moisture level of the soil goes lower. Thus, develop automatic monitoring and operating system for Smart agriculture using IoT.

Proses Pembuatan Roundown dan Que Card Event Darmo Car Free Day (CFD) Di TV9 Nusantara Surabaya


 
 The Darmo Car Free Day (CFD) program is an event program that is held every Sunday by TV9 Nusantara. In realizing the program, the implementation of the program includes three production management processes, namely pre-production, production and post-production. Pre-production includes how to manage the program, starting from making concepts, arranging roundwon events, making queue cards, determining talent programs, arranging cameramen, to determining program speakers, as well as collaborating and looking for sponsors.
 
 
 
 
 
 

Methodological approaches to the formation of flexible structures for managing construction groups

In the article the main aspects of the formation of flexible management structures of corporate associations of construction enterprises — construction groups are considered. The subjects of the investment and construction complex must quickly respond to changes in the external environment, should have possibility to adjust to possible changes in the economy and other spheres. Such an opportunity can be realized on the basis of the formation of flexible management structures of organizations. A flexible management structure is an organizational structure that allows an enterprise to respond quickly and effectively to the changes in the external or internal environment. In general, flexible management structures are a set of system elements that can adapt to changing environmental conditions in order to ensure an acceptable level of efficiency and production optimization and management processes under conditions of changing environment. In this case, the formation of organizational structures is implemented at the following levels: intra-company level, organizational and functional level, organizational and contractual level. Formation of flexible organizational structures for the management of a construction group should be realized within the limits of the certain strategy, while fulfilling the conditions for maximizing the level of strategic development while ensuring a sufficient level of general stability of the construction group.

MES is the core of digitalization of a food enterprise

The article discusses aspects of improving the efficiency of an industrial enterprise on the example of food production. The author evaluates the feasibility of using a production process management system (MES). The introduction of MES allows you to reduce the volume of defects in production, losses, and increase the output of products.

Persistent analysis and evaluation of the efficiency of manageability of agricultural organizations in the region

The article analyzes the sustainability of the development of agricultural production in modern conditions. On the basis of mathematical modeling, the effectiveness of managing production processes in agricultural organizations in the regions of the Central Federal District of the Russian Federation is studied. As part of the study, a methodology for the integral assessment of the effectiveness of agricultural production management using the Hurst index and the fractal dimension index was developed, while correlations between production volumes and the efficiency of resource use were revealed. The developed proposals make it possible to evaluate the effectiveness of agricultural production management, taking into account a synthetic indicator that takes into account the dynamic properties of production and economic processes in agriculture, qualitative changes in factors and development conditions.

Anomaly Detection of DC Nut Runner Processes in Engine Assembly

In many manufacturing systems, anomaly detection is critical to identifying process errors and ensuring product quality. This paper proposes three semi-supervised solutions to detect anomalies in Direct Current (DC) Nut Runner engine assembly processes. The nut runner process is a challenging anomaly detection problem due to the manual nature of the process inducing high variability and ambiguity of the anomalous class. These characteristics lead to a scenario where anomalies are not outliers, and the normal operating conditions are difficult to define. To address these challenges, a Gaussian Mixture Model (GMM) was trained using a semi-supervised approach. Three dimensionality reduction methods were compared in pre-processing: PCA, t-SNE, and UMAP. These approaches are demonstrated to outperform the current approaches used by a major automotive company on two real-world datasets. Furthermore, a novel approach to labelling real-world data is proposed, including the concept of an ‘Anomaly No Concern’ class, in addition to the traditional labels of ‘Anomaly’ and ‘Normal’. Introducing this new term helped address knowledge gaps between data scientists and domain experts, as well as providing new insights during model development and testing. This represents a major advancement in identifying anomalies in manual production processes that use handheld tools.

Organization-Managerial Mechanism of Shaping Human Capital in Organization Based on Knowledge Management

Today organization competitiveness depends mainly on the development of HR potential and the process of labour resource management. In personnel training the process of knowledge management is on the foreground, its introduction can render positive effect both on production process and HR management of the organization. The article pays special attention to the definition of such notions as ‘knowledge’, ‘knowledge management’, ‘development of HR potential’, shows academic activity in this field in 2018–2022 on the part of home authors and finds interconnection between the process of knowledge management and development of HR potential. The author analyzed and systematized key trends of the subject area. Findings of the research demonstrate that for home scientists the problems of attracting highly-qualified personnel and adaptation of HR potential to organizational transformations are especially acute. According to Elibrary.ru data the biggest number of studies dealing with knowledge management and development of HR potential during the last 5 years were carried out in the field of education, digitalization and HR management.

Logical-semantic definition of a production process digital twin

Objectives . A methodology currently being developed for generalizing and presenting knowledge about studied subject-oriented areas is based on a “model hypothesis” for determining the distinguished objects and their relationships. Such system models can be used in any information system to define the knowledge about subject-oriented areas. Systems engineering methods already make it possible to create information models of real objects supplemented by virtual components, and vice versa, i.e., models of virtual objects supplemented by real components. So, for example, the availability of information models of technological and production facilities and their connections with real equipment allow the creation and management of real-virtual production processes (PP) in accordance with Industry 4.0 methodologies. From a theoretical aspect, the development of system models of objects and their connections in subject-oriented areas is based on the problem of a formal consistent description (grammatical calculus) of the functional regularities of a given set of objects and their relationships. The purpose of the study is to develop an approach and principles of methodology for system modeling of production facilities and their connections to provide closed-loop control (forecasting, planning, accounting, regulation, etc.) in the production environments of machinery enterprises taking the form of their digital twins (DTs). Methods . The basic provisions of the theory of sets and graph theory—in particular, the provisions of the theory of categories of sets—are used according to the formal logic and control theories. System Engineering methods are also applied in the organization and management of machinery production. Results . The approach to the formation of a metastructure of production process digital twin (PPDT) based on the models of production facilities and their relationships is substantiated. The procedure and rules for constructing a PPDT system model are developed along with an approach to the structural and parametric identification of DT models, taking logical and semantic restrictions into account. Conclusions . A presented example for identifying the basic set of objects of the organization of the PPDT based on the logical-semantic analysis of production activities and the provisions of the unified standards of the unified system for technological preparation of production of machinery production as a researched subject area confirms the main provisions of the proposed methodology for constructing the PPDT.