Production Flow Research Articles

Logistics customer service management on the example of a manufacturing company

Purpose: The aim of the article is to analyze the operation of company X in the context of logistic customer service in practice. Design/methodology/approach: The idea of the work is to present the theoretical part of customer service and compare it to logistic customer service in practice. It also includes comparisons of practical solutions of company X to theoretical requirements. Findings: The research issue discussed in the article was a survey. Its purpose is to present customer service in Patrick's Day in company X. 81 people of different genders and age groups responded anonymously to the survey questions 15- >60 years. General knowledge of the logistics industry and responses from opinion makers were taken into account. The responses of the surveyed people were presented graphically along with their descriptions. Research limitations/implications: The practical part is intended to reflect the actual compliance of company X with the imposed rules. The Logistics Customer Service Principles were created to ensure a consistent and effective approach to customer service in the context of logistics. Practical implications: The type of customer service strategy depends on the specific goals and needs of a given business. The essence of logistic customer service is the effective management of the flow of products and services from the place of production to the place of consumption in order to meet customer needs. Logistics customer service covers many aspects, such as planning, controlling and monitoring the flow of goods, inventory management, transport, warehousing and coordination of activities between various links in the supply chain. Social implications: Customer service also means the ability to accept customer opinions and comments with an open mind. Customers should be able to express their opinions and complaints and then respond effectively. Originality/value: The article draws attention to the importance of a non-routine approach to the dynamics of opportunities. This is important for management as a scientific discipline, but also for managers, which indicates various possible development paths. Keywords: Customer, logistic customer service, logistics. Category of the paper: Research paper.

РАЗРАБОТКА РЕЦЕПТУРЫ И ПРОВЕДЕНИЕ ОРГАНОЛЕПТИЧЕСКОГО АНАЛИЗА ЗЕРНОВОГО БАТОНЧИКА

In modern world consumers choose products that are health friendly, but at the same time convenient for use and storage and affordable. Based on these factors, three formulations of cereal bar from rice cereal, buckwheat cereal and a mixture of two cereals were developed. A production flow chart has been drawn up and tested, which includes two stages: syrup preparation and bar molding. For the developed bars a tasting was conducted among 23 respondents, according to which the rice bar took the leading position. But assessment of 3 experts showed that the recommended cereal bar is the bar made from a mixture of rice and buckwheat cereals. Technical specificationsfor the bars TU 10.61.33–001-02068396-2022 has been developed and registered.

Möbius Disjointness for product flows of rigid dynamical systems and affine linear flows

Möbius Disjointness for product flows of rigid dynamical systems and affine linear flows

Modeling and simulation: A comparative and systematic statistical review

Modeling and simulation took a considerable part of both professional and educational fields during the past few years. With the emergence of new technologies, several modeling and simulation tools, languages and softwares were developed in different areas, and are even introduced in the educational program, which can only prove their importance, especially when it comes to decision-making process. Both concepts also took part of the industry 4.0 paradigm and can be used to test and validate the digital technologies to facilitate their implementation. This variety of modeling and simulation solutions lead us to the following challenging question: which solution to adopt for which case study?The purpose of this article is to set a list of the different modeling and simulation tools, languages and softwares through a statistical literature review, focusing on the industrial field, precisely when it comes to production flow optimization and waste elimination in accordance with lean manufacturing strategy, to determine the pros and cons of each modeling and simulation solution and therefore serve as a referential for companies to identify the best match to their need.

The development of honey pineapple jam production facilities in Bantaeng Regency

Bunga Resky pineapple jam processing industry is located in Bantaeng Regency, which processes pineapples obtained from its own managed land. This industry has the potential with abundant fruit production during the harvest season. However, there are limitations related to the layout of the production facilities. The purpose of this research is to determine the pattern of development design in the pineapple jam processing industry at UKM Bunga Resky in Bantaeng Regency using Activity Relationship Chart (ARC) and BLOCPLAN. There are 20 altenative layout options generated by the BLOCPLAN method, with the layout selected based on the R-Score values approaching 1 and the lowost rail-dist score while considering the existing conditions in the industry. The selected layout is the layout 8, chosen because it has the best production flow suitability.

Experimental research of product flow in gravity loading hopper

Experimental research of product flow in gravity loading hopper

Optimizing the Simulation of Conveyor Systems through Digital Shadow Integration to Increase Assembly Efficiency

In today's highly competitive industrial environment, continuous improvement of efficiency and optimization of processes is crucial. This paper presents an approach to the optimization of conveyor systems that uses the concept of a digital shadow. A digital shadow, as an exact digital replica of a physical conveyor system, enables detailed simulation and analysis of real operational data, providing a basis for in-depth analysis and identification of areas for improvement. The aim of this approach is not only to improve the understanding of the dynamics and performance of existing conveyor systems, but also to increase the overall efficiency through predictive simulations and optimization algorithms. In this work, we demonstrate how the integration of a digital shadow into the simulation process can contribute to a better reaction to changes in the production environment, to the reduction of downtime and to the optimization of production flows. Our methodology combines data collection / analysis, and enables the creation of accurate and flexible models of conveyor systems. These models are then used in simulations that help identify optimal settings for different production scenarios and predict potential problems before they occur. The results of applying our approach on a test laboratory line show a significant improvement in efficiency and a reduction in operating costs. This study provides important insights and practical guidelines for engineers and production managers focused on the use of digital shadow to increase the efficiency of conveyor systems. It also contributes to the development of intelligent production technologies in the era of Industry 4.0.

Санкционные риски и региональное развитие (на примере России)

Economic sanctions and countersanctions are expanding worldwide, posing spatially heterogeneous threats to most countries. The study aims to develop and test a methodology for assessing regional exposure to sanctions risks using Russian data. The share of foreign trade with the countries that introduced restrictions can be used to evaluate the exposure to new trade barriers. In several cases, this share exceeded 50 %, necessitating a rapid reorientation of product flows in Nenets, Khanty-Mansiysk Autonomous Areas, Komi, and Murmansk region. The Kaliningrad, Kaluga, and Leningrad regions exhibit high import dependence in the production sector, particularly in the automotive industry, due to their active involvement in global supply chains. Sanctions against large legal entities created risks for the stability of regional economies but the increase in demand for domestic products offset this impact. Foreign enterprises exiting the market posed risks of disrupting production chains but also provided opportunities for local business development. Before some countries introduced sanctions, their companies had held more than 20 % of the market share in Kaluga, Moscow region, and the city of Moscow. However, the share of foreign firms that announced complete withdrawal exceeded 5 % of the market only in the Komi, Samara, Leningrad, and Moscow regions. An integral index of exposure was proposed based on the mentioned indicators. Its value is lower for the regions with a more diversified economy and foreign trade. The greatest risks were observed in the closely connected to the European Union northwestern territories of Russia: Karelia, Komi, Kaliningrad, Leningrad, and Arkhangelsk regions. In 2022, regions with a high index value were more likely to experience a decline in economic activity, but in 2023, this impact was less explicit due to economic adaptation and transformation. Based on the results of the study, some recommendations can be formulated.

Dynamical analysis and decision support system of production management

Nonlinear system dynamics and feedback control theory are presented for management optimization of supply chain systems. Linearization and simplification methods are widely used in analyzing the system dynamics of supply chains because actual production models are highly complex and nonlinear systems. With advanced system dynamics, it is possible to deal directly with nonlinear dynamical problems without linear approximate methods so that the decision-makers can obtain more accurate results for systematic management strategies. This paper proposes a nonlinear system theory to explore dynamical behavior and control synthesis of production-distribution systems using Forrester’s model. A novel super-twisting sliding mode control (SWT-SMC) algorithm has been presented based on adaptation law, ensuring management optimization against disruptions. The closed-loop system stability has been guaranteed by using the Lyapunov theory. Extensive numerical simulations have been conducted to validate the efficacy and reliability of the adaptive super-twisting sliding mode control (ASWT-SMC) algorithm. Four types of decision criteria have been employed to compare system performance between control strategies. With a superb decision scheme powered by a control algorithm, novel supply chain software can learn an ever-fluctuating production flow and anticipate the need for changes in a real market.

Research on Digital Media Content Production and Dissemination Mode Based on Artificial Intelligence

Abstract In order to study the effect of digital media content production and dissemination supported by artificial intelligence technology, we aim to improve the dissemination and influence of digital media in short video platforms. This paper takes digital media as the research object and launches research on digital media content production and dissemination mode. Based on the research method of inquiry description, the core process of digital media intelligent transformation was deeply analyzed, and the overall logical framework of digital media intelligent transformation was designed. The digital media content production flow model is built by combining data integration and aggregation mining from a digital media content perspective. A graph-convolution matrix decomposition recommendation model for digital media broadcasting was developed by analyzing the performance of algorithmic recommendation in digital media applications. The results are presented: in terms of the order of influence degree size, the degree of influence on the number of likes is greater for political news (Beta = 0.2026, p < 0.01) than for military science and technology (Beta = 0.1637, p < 0.01) than for social news (Beta = 0.1225, p < 0.05), i.e.It indicates that the content theme is shifting from traditional social news to political news, which makes it easier to increase the heat of content dissemination. This study helps us think about the impact of media content production and dissemination strategies in the age of mobile Internet and provides new inspiration for communication theory research.

The potential for disruption to the entire inventory management function schedule

In the framework of working capital, inventories hold the most strategic position among business enterprises. It comprises the most substantial portion of current assets in the majority of businesses. The effective management of inventory within the context of working capital is particularly concerning because inventories obstruct about two-thirds of the current assets of cement manufacturers. In the event of a calamitous event, the initiatives worsen supply chain disruptions, thereby introducing a novel compromise between resilience in the face of disruptions and effectiveness in the course of regular operations. When making stocking decisions, operational disruptions are taken into account. These are different from demand uncertainties in terms of the risks they pose because they last longer and stop production flow. As a consequence, operational disruptions can be considerably more catastrophic, despite their low probability of occurring. We use stochastic simulation to find insights that can be used in managing inventory when there is a risk of disruption. These insights come from combining the newsvendor and order-up-to models, which look at the costs of uncertain demand, with catastrophe models, which look at both the cost of a supply disruption and the cost of recovery. These insights pertain to the management function schedule, which is the subject of discussion in this paper.

Evaluating the Effectiveness of Reliability-Centered Maintenance Programs in Food and Beverage Manufacturing Facilities; A Review.

While reliability-centered maintenance (RCM) boasts widespread success across industries, its efficacy within the complex environment of food and beverage manufacturing remains unclear. This study addresses this gap by analyzing the implementation and outcomes of an RCM program at a representative facility. Leveraging quantitative data, the research demonstrates the program’s transformative impact, including significant reductions in downtime, improved asset reliability, and substantial cost savings. Beyond these metrics, the study delves into the practical challenges encountered during RCM adoption and offers actionable solutions for potential implementers. This research extends beyond its case study, aiming to serve as a catalyst for broader industry adoption. By highlighting the tangible benefits and practical considerations of RCM in a food and beverage context, the study empowers manufacturers to unlock its potential, paving the way for enhanced food safety, optimized production flows, and a more resilient and competitive sector.

Short-term Fluctuations and Fluctuations in the Development Dynamics of Fixed Assets of Industry

Management and Production Engineering Review (MPER) is a peer-refereed, international, multidisciplinary journal covering a broad spectrum of topics in production engineering and management. Production engineering is a currently developing stream of science encompassing planning, design, implementation and management of production systems. Orientation towards human resources factor differentiates production engineering from other technical disciplines. The journal aims to advance the theoretical and applied knowledge of this rapidly evolving field, with a special focus on production management, organisation of production processes, management of production knowledge, computer integrated management of production flow, enterprise effectiveness, maintainability and sustainable manufacturing, productivity and organisation, modelling and simulation, decision making systems, project management, innovation management and technology transfer, quality engineering and safety at work. Management and Production Engineering Review is published under the auspices of the Polish Academy of Sciences Committee on Production Engineering and Polish Association for Production Management. The main purpose of Management and Production Engineering Review is to publish the results of cutting-edge research advancing the concepts, theories and implementation of novel solutions in modern manufacturing. Papers presenting original research results related to production engineering and management education are also welcomed. We welcome original papers written in English. The Journal also publishes technical briefs, discussions of previously published papers, book reviews, and editorials. Letters to the Editor-in-Chief are highly encouraged.

USULAN PERBAIKAN LAYOUT LANTAI PRODUKSI PT XYZ MENGGUNAKAN METODE ALGORITMA BLOCPLAN DAN ALGORITMA CORELAP

PT XYZ is a company that engaged in the footwear manufacturing industry. In the production process, one of tool that required is cutting dies to form the desired designs or patterns. The production process that uses cutting dies is carried out in the moldshop section. Cutting dies are made from sheet plates that are cut to size, then processed to form a pattern or design that will be used in the main production section. Several departments were placed not in accordance with the production process flow, causing delays in the delivery of cutting dies. This also causes longer material handling time and there is irregular material flow such as cross material flow and alternating flow which also results in queuing processes. For this problem, it is necessary to design a layout to produce a shorter total distance and better production flow using the BLOCPLAN Algorithm and CORELAP Algorithm methods. From the design results, the proposed layout of the BLOCPLAN Algorithm was obtained which was able to produce a total distance of 2385.5 meters per day, whereas if using the CORELAP Algorithm it was 1514.63 meters per day. Therefore, it is recommended to use the layout from the CORELAP Algorithm calculation so that it can produce an efficiency of 20.60%.

Predicting production flow rates using artificial neural network – HST field case

Oil production flow rate prediction is a critical aspect of oil and gas exploitation operations. Currently, flow rate forecasting is often estimated using theoretical or empirical models. Theoretical and empirical models have limitations. This study applies an Artificial neural network (ANN) for prediction flow rate. The study considered 256 datasets collected from six wells in the HST Field, Cuu Long basin. The predicted results obtained from the ANN model with eight neurons and back-propagation algorithm achieved high predictability with a strong correlation coefficient of 0.964 and a low RMSE of 32.612 bbl/d. Therefore, the developed ANN models have been promised as an effective tool in production flow rate forecasting in oilfields. Keywords: Artificial neural network; backpropagation algorithm; flow rate prediction; multivariate regression method; gas-lift.

Use of quality tools in optimizing the production process in dental prosthesis laboratory

This article demonstrates the importance of a management and optimization project in the production processes of a dental prosthetics laboratory. It explores the use of quality tools and their contributions to the success of improvement works, enhancing product quality and production flow. All strategic points of the company were restructured by managing change projects, ensuring each directive was aimed at achieving the necessary outcomes for successful planning. Focused on a complete transformation, each department experienced changes and soon witnessed results showcased in reports, including improvements in personnel, production, finances, and strategic management. These improvements aimed to secure new contracts and expand the portfolio of clients and suppliers.

Our First Supplement!

The Archives of Pediatric Neurosurgery Journal is proud to announce the release of its inaugural Supplement, marking a significant milestone more than three years since its establishment. The editorial team recognizes the continuous flow of scientific production, and the decision to introduce occasional supplements, prior to increasing the official journal numbers, underscores the steadfast and consistent publication policy of the APN.
 In this supplement, we featured the abstracts from the "XIV Congress of the Brazilian Society for Pediatric Neurosurgery (SBNPed)" held in Goiânia, Brazil, from August 2 to 5, 2023, under the presidency of Dr. Paulo Ronaldo Jubé. Additionally, we also included videos of lectures conducted and endorsed by SBNPed and APN.
 The Archives of Pediatric Neurosurgery Journal acknowledges the importance of research in Pediatric Neurosurgery and recognizes Brazil's leadership in various fields. We support the initiative to publish congress abstracts and encourage authors to submit their work as full articles for evaluation and potential publication.
 
 Another key aspect is the promotion and encouragement by SBNPed and APN of symposia, making some lectures available for readers to benefit from, thereby fostering the dissemination of scientific knowledge. This supplement comprises three lectures from the 2020 Neuroendoscopy Symposium delivered by Dr. Ricardo Santos de Oliveira, Dr. Marcelo Volpon, and Roberto Alexandre Dezena.
 We extend our gratitude to the entire editorial team, authors, and reviewers who contributed to the growth and development of the journal in 2023, and we look forward to an even more successful year in 2024!

Hydrate Control in Subsea Natural Gas Production

One of the most significant technological challenges that this industry faces today is securing the production flow in deep water exploration. Intense conditions of high pressure and low temperatures will favor the formation of the hydrates which could restrict or block the pathway to the extent that there can be a humungous financial loss.
 This research was devoted to hydrate control in subsea natural gas production using results from water concentration estimation for reservoir, wellhead and onshore receiving terminal conditions. For illustration, a natural gas stream from the Niger Delta was selected where the transportation medium is a pipeline. Further implementation as part of the hydrate formation assessment input was done on the temperature and pressure profile along this pipeline.
 A hydrate inhibition strategy based on monoethylene glycol (MEG) is under consideration. It is revealed that in the case if a temperature falls below 20°C and pressure will increase above 100 bar, then it would be met with a flow configuration in a region where hydrates are formed. Estimation of water concentration thus suffices to give useful information as possible prevention methods to hydrate formation while the gas flow is going on in the pipeline. The actual thermodynamic conditions required for the hydrate formation can also be deduced from the temperature and pressure data.

Analysis of the Effect of Supply Chain Management and Local Wisdom on the Competitiveness of Coastal Fishing Communities in North Minahasa District

Supply Chain Management is an integrative method or approach to manage the flow of products, information, and money in an integrated manner involving parties from upstream to downstream consisting of suppliers, factories, distribution networks and logistics services. The supplier is one of the most important links in determining product quality and the speed with which the product reaches the consumer. In the capture fisheries industry in North Sulawesi, coastal fishing communities in North Minahasa District are one of the spearheads of the success of the supply chain for the capture fisheries industry because they function as suppliers for the fish processing industry in North Sulawesi. The purpose of this study was to analyze the influence of Supply Chain Management, namely the variables of technical and managerial assistance, information sharing, trust, long-term relationships, and process integration on the competitiveness of coastal fishing communities in North Minahasa District and local wisdom on competitiveness. This research uses causal associative research. The analytical method used is Multiple Linear Regression Analysis. The results showed that technical and managerial assistance, information sharing, trust and local wisdom had a significant effect on the competitiveness of coastal fishing communities in North Minahasa District, while long-term relationship variables and process integration did not significantly affect the competitiveness of coastal fishing communities in North Minahasa District.

Decision-making for circular economy implementation in agri-food systems: A transdisciplinary case study of cacao in Colombia

Sustainable food security represents a significant challenge in advancing the global agenda expressed in the Sustainable Development Goals, including feeding the growing world population while transitioning toward a circular economy. A growing body of literature is focused on developing concepts and documenting circular economic opportunities in agricultural food systems. However, the methodologies for implementing circular economy models at the farm level remain mostly theoretical. This study proposes a transdisciplinary based approach for evaluating circular economy alternatives in agri-food systems while enhancing farmers’ decision-making skills. The transdisciplinary based research methodology combines methods for simulating critical resource and production flows with multi-criteria decision-making, including training and obtaining feedback from farmers. We test the methodology on a cacao agri-food system in Meta (Colombia). Biomass waste and cost-benefit data allow evaluation for decision-making of four circular economy scenarios: composting, vermicomposting, drip irrigation, and valorization of cacao husks. Research outcomes recommend vermicomposting as a viable circular economy innovation for cacao farms to reduce biomass waste and improve economic income at farm level. Other outcomes include capacity building of farmers on circular economy –including resource flow analysis and cost-benefit calculation. Effective decision-making on circular economy adoption at farm level is evidenced by vermicomposting technology implementation. Policy recommendations call for transdisciplinary based approaches for promoting and scaling the transition towards a circular economy in agri-food systems at a farm scale involving farmers participation in operations research (analytics) modelling and interpretation. In addition, policy advise for circular economy technical assistance and finance, includes vermicomposting as a technology for scaling transition of agri-food systems such as cacao and comparable long-term crops.