Optimization Of Production Process Research Articles

Energy saving and carbon reduction production process of municipal sludge-based biochar: Optimization, simulation, and techno-economic analysis

The production process of municipal sludge-based biochar is a promising and efficient sludge treatment process. However, inefficient cleaner production and limited resource utilization always caused environmental and cost concerns. Based on the measured data of engineering field operation, the optimized production process of energy saving and carbon reduction is put forward by using the process simulation of Aspen Plus software and economic analysis approach, and the sludge treatment capacity is 300 t/d. The objective of the study is to comparatively evaluate the energy efficiency, carbon emission reduction efficiency, and techno-economic performance of the optimized process. The newly added SNCR and low-temperature SCR units are combined denitration and coupled with a waste heat recovery unit to reduce energy consumption. Meanwhile, reduce carbon emissions and NOx emissions in the whole process. The base case of the optimization process and resource utilization was found to be viable. Compared with the conventional process, the energy efficiency is increased by 8.52 %, the total carbon emission is reduced by 27.41 %, and the total emissions of NOx and SO2 emissions are reduced by 78.11 %, thus reducing the environmental burden of greenhouse gas emissions. The total product cost is reduced by 26.76 %, the annual investment rate of return is increased by 27.45 %, the gross profit rate is increased by 23.78 %, and the internal rate of return is increased by 45.19 %, which has excellent profitability.

Evaluation of production line expansion efficiency using computer simulation

Abstract The article discusses the application of computer simulation in the optimization of production processes, particularly in the context of analyzing scenarios related to the addition of new production lines. The conducted research and simulations have shown that computer simulation is a key tool for precise modeling and analysis of various options, allowing for better understanding and optimization of production activities. The article presents the theoretical foundations of simulation along with practical examples of its application, focusing on assessing the impact of different production line configurations on the overall system’s efficiency. The analysis of benefits includes shortening the production cycle time, increasing flexibility, and improving operational efficiency. The challenges associated with implementing computer simulation, such as the need for specialized knowledge and the necessity for continuous updates of simulation models, are also discussed. Based on the research and analyses conducted, the article demonstrates that computer simulation is an effective tool supporting strategic and operational decision-making in production management, particularly in the context of expanding production infrastructure.

Comparison of Forsythia suspensa leaf fermented tea in the four different regions of Shanxi Province: quality, functional ingredients, and bioactivity

BackgroundForsythia suspensa (F. suspensa) is a plant of the Oleaceae family that is used as a medicinal plant. It is a traditional Chinese medicine that functions in clearing heat and detoxification. F. suspensa contains various phytochemicals, such as lignans, flavonoids, triterpenoids, and phenylethanolic glycosides; however, the main active phytochemical in F. suspensa is phillygenin, which has lipid-lowering, antioxidant, antihypertensive, and tyrosinase inhibitory effects. However, the content of phillygenin in F. suspensa is very low, limiting its application.MethodsThis study used wild F. suspensa leaves (FSL) from Lingchuan County (LC), Anze County (AC), Pingshun County (PS), and Pingding County (PD) in Shanxi Province as experimental materials. Through a single factor and orthogonal experimental design, the fermentation time, temperature, and humidity of F. suspensa leaf fermented tea (FSLFT) were optimized using a black tea fermentation machine. By comparing the differences in phillygrin and phillygenin content in FSL and FSLFT, the optimal production process for increasing phillygenin content in FSLFT was sought. This study also compared the differences in bioactive substance content and in vitro antioxidant and antibacterial functions of wild FSLFT from the four counties to evaluate the quality of wild FSLFT from the four counties.ResultsThe optimal technological parameters of Forsythia suspensa leaf fermented tea (FSLFT): fermentation time of 2 h, fermentation humidity of 80%, fermentation temperature of 35°C, the experimental results showed that the order of influence of each factor on phillygenin content was C (fermentation temperature) > A (fermentation time) > B (fermentation humidity). The cellulase activity of FSLFT was significantly higher than that of FSL (P < 0.05). The total volatile compounds of the wild FSLFT from the four counties were 87 volatile aroma components, 13 of which were common aroma components, and the PCA scores ranged from high to low as follows: AZ-FSLFT > LC-FSLFT > PS-FSLFT > PD-FSLFT. The antioxidant effects of the FSLFT were as follows: AZ-FSLFT > LC-FSLFT > PS-FSLFT > PD-FSLFT. PD-FSLFT had the least inhibitory effect on both Gram-positive and Gram-negative bacteria, whereas AZ-FSLFT had the greatest inhibitory effect.ConclusionFermentation promoted the conversion of phillygrin to phillygenin in FSL, which might be related to the increased cellulase activity in FSL during fermentation. The AZ-FSLFT had the best quality and functional activity, which made sense given its active ingredient content. The AZ-FSLFT had the best quality and functional activity, which made sense given its active ingredient content. This study contributes to the comprehensive development and utilization of F. suspensa leaves for economic and healthcare purposes.

Advantages and disadvantages of a closed-loop economy: the path to environmentally friendly production

The relevance of the study is related to the development of the circular economy in the national economies of many countries of the world, where it is receiving increasing attention. Circular technological and economic models can be considered promising areas of strategic transformation for companies that contrast themselves with traditional business models of an open economic system based on extensive growth. The concept of a circular economy appeared in order to create closed-loop production and consumption models that aim to increase resource efficiency, use waste management approaches and achieve stable coexistence between the economy, the environment and the population. The purpose of the study is to analyze relevant scientific sources and statistical information to determine the advantages and disadvantages of closed-loop economic models at the current stage of scientific and technological progress. The research methodology is based on the use of general scientific research methods such as analysis, generalization, abstraction, synthesis. The results of the study. The article evaluates the current situation of the development of the circular economy in the world, identifies factors that emphasize the extensiveness of the current economy. The main advantages, disadvantages and barriers of the circular economy are presented, classified into four aspects: environmental, economic, technological and social. It is established that from the point of view of the economic development of the branches of the national economy, the circular economy will create new markets and business opportunities in the sectors of recycling and servicing of goods. It is also assumed that circular business models can increase the competitiveness of companies through innovation and optimization of production processes. In addition, circular economic systems will contribute to the development of innovative technologies and processing methods aimed at more efficient use of raw materials and materials.

Effect of Pre-Treatment on Bitterness and Quality of Osmodehydrated Lemons

Lemons are rich in beneficial phytochemicals and antioxidants, including phenolic compounds and flavonoids. However, some of these compounds impart a bitterness that can limit its application in food products and affect consumer acceptance. This study aimed to reduce the bitterness of osmodehydrated lemon using a combination of pre-treatment, osmotic dehydration, and drying processes. Fresh lemons, lemons immersed in 2 % NaCl for 3 nights, and lemons stored at room temperature for 3 days were analyzed for bitter compounds. These samples underwent 4 cycles of blanching at either 35 or 80 °C, followed by cooling, osmotic dehydration in a 60 °Brix sugar solution with heating at 80 °C for 45 min and soaking in syrup for an additional 30 min, and finally drying at 70 °C until reaching a water activity below 0.6. Results indicated that the optimal condition for reducing bitterness involved storing fresh lemons at room temperature for 3 days, soaking them in 2 % NaCl solution for 3 nights, and blanching at 80 °C, followed by osmotic dehydration and drying. The naringin, limonin, and hesperidin contents were reduced by 34-fold, 24-fold, and 10-fold, respectively, compared to those in fresh lemons. Additionally, its sensory properties were well accepted by panelists. Although the production cost at the laboratory scale was high, it is expected to be lower at pilot or commercial scales. The production method is deemed suitable for entrepreneurial ventures in the lemons processing industry. HIGHLIGHTS Value Addition: The study explored effective methods to value added and utilize lemon fruits by employing pre-treatment, blanching and cooling cycles, osmotic dehydration, and drying. Bitterness Reduction: The optimized production process significantly reduced the bitterness of the osmodehydrated lemon product. High Quality Process: The optimized production process resulted in high-quality osmodehydrated lemon products. Pre-Processing Storage: Storing fresh lemons at room temperature for 3 days before processing was effective in reducing bitterness. Consumer Approval: Panelists rated the osmodehydrated lemon favorably, indicating strong consumer preference. GRAPHICAL ABSTRACT

Beyond bits and bytes: Examining the dynamic influence of digital economy on ecological footprint in OECD economies

This study explores the effect of digital economy on ecological footprint in 37 Organization for Economic Co-operation and Development (OECD) economies between 2007 and 2022. We employed different econometric models and techniques, such as the panel regression model, the polynomial quadratic model, the modified structural equation model, and the Sobel test. Our study results reveal that digital development directly reduces ecological footprint through improved energy-efficient data centers, optimized production processes, and real-time resource management. Additionally, the relationship between digital development and ecological footprint shows an inverted U-shaped pattern. This implies that the growth of digital economy initially increases the ecological footprint due to the resource-intensive nature of setting up digital infrastructure, including data centers and communication networks. However, as digital development matures, efficiency gains from technological advancements lead to a reduction in the ecological footprint. The mediation analysis reveals that economic growth, green technology adoption, and industrial structure transformation significantly mediate the nexus between digital economy and ecological footprint at a proportion of 85.2%, 31%, and 65.6%, respectively. From the findings of our study, significant policy implications are proposed to enhance environmental quality.

Esterification and Transesterification Optimization Processes of Nonedible (Castor and Neem) Oils for the Production of Biodiesel

In current times, the diminishing reserves of petroleum, increased energy consumption across various sectors, and their consequential environmental impact have become apparent. Consequently, it is necessary to develop sustainable and eco-friendly energy sources to meet growing demands. The article aimed to blend castor and neem oils (in a 50:50 ratio) to rectify the drawbacks present in castor biodiesel such as elevated kinematic viscosity and density. Response surface methodology was used to study the optimization of the two-step biodiesel production process through the use of a central composite design (CCD). For the esterification step, a methanol-to-oil molar ratio of 7.5:1, 1.75 wt.% of H2SO4, and a temperature of 55 °C were optimal. In the transesterification step, optimized conditions included a methanol-to-oil molar ratio of 9:1, 2.50 wt.% of calcium oxide, a temperature of 55 °C, and a stirring speed of 900 rpm, resulting in a 93% yield of methyl ester. Different properties of produced biodiesel were examined using the standard values provided by EN 14214 and ASTM D6751. The production of biodiesel from a mixture of castor and neem oils did not have any adverse impacts on food security.

Trends and innovations in mycorrhizal biofertilizers: a technological prospecting study

Exponential population growth, combined with the reduction of arable land, has created a need for increased agricultural production within a smaller physical space and with limited water and nutrient resources. In this context, biofertilizers have emerged as an environmentally friendly alternative to meet the demand for technologies and products that enhance productivity. The objective of this study was to map the production of technological knowledge and identify the main characteristics of innovation assets developed in the field of biofertilizers, with a particular focus on mycorrhizal biofertilizers, during the first decades of the 21st century. To achieve this, data was collected from international databases, including the European Patent Office (EPO) and the World Intellectual Property Organization (WIPO), as well as from the national database of the National Institute of Industrial Property (INPI) in Brazil. The search was conducted using simple and combined queries with the keywords "Mycorrhiza" and "Biofertilizer," followed by quantitative and qualitative analyses. The results indicated that the primary patent applicants in this field are companies and universities, predominantly located in North America and Asia. The highest concentration of patent publications occurred between 2010 and 2021, particularly in relation to new biofertilizer compositions and the optimization of production processes for these compounds. Although new technologies in the field of mycorrhizal biofertilizers can be observed, there are still unexplored avenues, and new initiatives will be important for the emergence of innovative solutions.

Application of the integrated well-surface facility production system for selecting the optimal operating mode of equipment

This work is dedicated to the analysis and development of an integrated production system that combines wells and surface facilities to select the optimal operating mode for equipment. The main focus is on studying data analysis methods, as well as collecting and processing information, which ensures high accuracy in process control and optimal use of technological capabilities. The integration of data from various levels of the production chain, from the well to the surface facilities, opens up new opportunities for optimizing equipment performance and improving resource management quality. Integration of wells and surface facilities – The effective integration of wells and surface facilities is crucial for optimizing production processes, minimizing operational costs, and reducing environmental impact. Integrated management systems allow the automation of many processes, providing continuous monitoring of operating parameters, automatic adjustment of settings, and supplying data for quick decision-making. This includes real-time data collection, analysis, and the use of the obtained information to select optimal operating modes, which helps improve both overall efficiency and safety in production processes. In the modern oil and gas industry, the efficient use of equipment at all stages of hydrocarbon production is of particular importance. Optimizing the operation of wells and surface facilities is a key aspect for increasing economic efficiency and reducing environmental impact. In this regard, the development and application of integrated systems that enable real-time control and adaptation of equipment operating modes has become a relevant and significant task.

Multi-Criteria Optimization of the Paper Production Process Using Numerical Taxonomy Methods: A Necessary Condition for Predicting Heat and Electricity Output in a Combined Heat and Power (CHP) System

The subject of this study is the optimization of the paper production process in one of Poland’s leading paper mills. In addition to its primary objective of paper production, the company generates heat and electricity for internal consumption and external clients, including the local municipality. Surplus energy may be sold on the power exchange; however, this requires forecasting the quantity of energy to be sold 24 h in advance, which introduces an element of uncertainty. Production stoppages, often caused by random events such as paper breakage, force a power decrease in the CHP system, further complicating energy forecasting. To minimize the occurrence of such events, numerical taxonomy methods were employed to determine the optimal screen speed (Vs) and winding speed (Vn) for two paper machines, based on the type and weight of the paper produced. This analysis utilized detailed daily data collected by the company over the period 2015–2020. The findings contribute to minimizing the occurrence of paper roll tearing, thereby reducing the risk of inaccurate forecasts of the energy and heat produced by the CHP system. Furthermore, the methodology employed in this study may be effectively applied to other optimization problems in industrial processes.

The role of the construction industry in the recovery of processing enterprises during the crisis

The article discusses the consequences of the crisis period for the work of processing enterprises in Ukraine. It is established that hostilities on the territory of our state and general instability lead to a decrease in production and force processing enterprises to cease their activities. Many enterprises are experiencing serious financial difficulties due to work restrictions, problems with the supply of raw materials, and the loss of industrial facilities. In the summer of 2022, the percentage of companies that closed or were in the process of ceasing operations was 46.8 %. A significant consequence of the war for the Ukrainian economy at the moment is the rapid changes in the territorial location and the change in the symmetry of the processing industry of Ukraine. The war also affected the sectoral structure of the processing industry, producing significant shifts and changes in the volume of products sold. The current political situation in Ukraine and the severance of business chains with the temporarily occupied territories require processing enterprises to search for new markets for products, sources of supply of raw materials, change logistics links, increase the production of raw materials and their own products. During the study, it was found that certain key aspects of the impact on the activities of processing enterprises were previously insufficiently studied. It is determined that the construction industry is of critical importance for the processing industry of the State during the crisis, which is designed to contribute to the recovery of this industry: to develop infrastructure, to build and modernize production facilities, which allows to introduce new technologies and optimize production processes, to improve the conditions of production itself, to build energy facilities to provide processing enterprises with stable and affordable energy supply, to apply modern construction technologies that will create environmentally friendly and energy-efficient production. For the restoration and development of the processing industry of Ukraine, taking into account the impact of the construction industry, we propose to apply the following measures: widespread implementation of the enterprise relocation program with the expansion of state support; the use of state programs for the reconstruction of property and lending, the development of international communications and the European vector for the recovery of the post-war industry based on the ESG concept and the principles of building back better, compliance with the principles of energy efficiency and energy saving, and the application of decarbonization measures. These tools are designed to provide stimulating processes in the processing industry to achieve and exceed the prewar level of the volume of competitive and high-quality products. The development of the construction industry plays an important role in the restoration of processing enterprises in Ukraine, so it is important to create favorable conditions for their cooperation, to develop comprehensive development strategies aimed at ensuring sustainable economic growth and support.

Digital Twin Used in Real-Time Monitoring of Operations Performed on CNC Technological Equipment

This article presents the development and implementation of a real-time monitoring solution designed for CNC machines, specifically applied to 150 industrial printing machines, leveraging Digital Twin (DT) technology. The system integrates an SQL database with Android and .NET interfaces, ensuring seamless data synchronization across all machines and optimizing production processes. The real-time monitoring enables immediate reflection of operational changes, enhancing predictive maintenance and reducing machine downtime. A notable feature of the system is its 1 s average data synchronization rate per machine, managing 150 resources distributed over a 10,000 mp area. This fast synchronization improves workflow coordination, reducing production time by approximately 10%, and minimizing operator delays caused by material issues, machine malfunctions, or product defects. The integration of advanced analytics further supports real-time decision-making, predictive maintenance, and performance optimization, aligning the solution with the objectives of Industry 4.0 and Industry 5.0 initiatives. This version reflects the specific results of the research, including the 1 s synchronization rate, the 10% reduction in production time, and the scalability of the system for 150 resources.

Optimization of curdlan production and ultrasound assisted extraction processes from Priestia megaterium

In this study, the upstream and downstream production processes of curdlan from Priestia megaterium were optimized to enhance its yield. Additionally, a novel extraction method was developed for curdlan recovery. Optimization studies were conducted using Central composite design (CCD). Curdlan yield improved from 0.15 g/L (unoptimized) to 0.46 g/L (3-fold increase) when fermentation was carried out in CCD-optimized media of (w/v) sucrose 20%, urea 0.1%, KH2PO4 0.02%, agitation speed 250 rpm. To further enhance curdlan yield during extraction, ultrasonication was incorporated as a novel step into the conventional method of acid/alkali-assisted curdlan recovery. A two-step optimization was chosen for extraction, namely, one-factor-at-a-time (OFAT) and CCD, wherein the optimized extraction parameters were determined to be 25 s sonication, 1 N NaOH, and 2 h solubilization time. The curdlan yield improved by 1.5-fold (0.70 g/L) post optimization, in comparison with unoptimized conventional extraction step. Finally, the biopolymer was validated through characterization by nuclear magnetic resonance (NMR) which showed characteristic curdlan spectra in the13C and1H NMR studies. To the best of our knowledge, this study represents the first documented report on curdlan extraction using this novel method of ultrasonication.

End-To-End Automated Intact Protein Mass Spectrometry for High-Throughput Screening and Characterization of Bispecific and Multispecific Antibodies.

Bispecific antibodies (bsAbs) and multispecific antibodies (msAbs) represent a promising frontier in therapeutic antibody development, offering unique capabilities not achievable with traditional monoclonal antibodies. Despite their potential, significant challenges remain due to their increased molecular complexity. One prominent challenge is the correct assembly of light and heavy chains, as improper pairing leads to mispaired or incompletely assembled species that lack therapeutic efficacy and possess undesired properties, impairing the developability, manufacturability, and safety. There is a critical need for rapid, sensitive analytical tools to monitor and control these undesired species and ensure the quality assessment of bsAbs and msAbs. To address this need, we present a novel high-throughput, format-agnostic intact mass workflow that significantly enhances the efficiency of detecting and quantifying biotherapeutic products and related impurities. This workflow integrates automated sample preparation, novel high-resolution rapid mass detection powered by SampleStream-MS, and an advanced data analysis pipeline. It offers increased throughput and data quality while substantially reducing analysis turnover time and labor. This was demonstrated in a pilot program where ∼800 multispecific antibodies were processed in 10 working days. The article details the evaluation and validation of our method, demonstrating its repeatability and intermediate precision in terms of measurement accuracy and relative quantification of various product-related species. We underscore the transformative potential of this end-to-end high-throughput workflow in expediting bispecific and multispecific antibody discovery, optimizing production processes, and ensuring high-quality development and manufacturing for therapeutic antibodies.

Predicting Work-in-Process in Semiconductor Packaging Using Neural Networks: Technical Evaluation and Future Applications

This review paper focuses on the application of neural networks in semiconductor packaging, particularly examining how the Back Propagation Neural Network (BPNN) model predicts the work-in-process (WIP) arrival rates at various stages of semiconductor packaging processes. Our study demonstrates that BPNN models effectively forecast WIP quantities at each processing step, aiding production planners in optimizing machine allocation and thus reducing product manufacturing cycles. This paper further explores the potential applications of neural networks in enhancing production efficiency, forecasting capabilities, and process optimization within the semiconductor industry. We discuss the integration of real-time data from manufacturing systems with neural network models to enable more accurate and dynamic production planning. Looking ahead, this paper outlines prospective advancements in neural network applications for semiconductor packaging, emphasizing their role in addressing the challenges of rapidly changing market demands and technological innovations. This review not only underscores the practical implementations of neural networks but also highlights future directions for leveraging these technologies to maintain competitiveness in the fast-evolving semiconductor industry.

MARKET ANALYSIS OF MICROBIAL SURFACTANTS

Aim. The purpose of the study was to analyze the global biosurfactant market. Methods. A bibliometric analysis of scientific publications from databases such as Scopus, Web of Science, DOAJ, and PubMed was conducted to collect information about the microbial surfactant market. A SWOT analysis was conducted to assess the strengths and weaknesses of the biosurfactant market, as well as its opportunities and threats. Results. It has been shown that the global biosurfactant market reached USD 4.44 billion in 2023 according to various estimates of industry experts. At the same time, its annual growth is predicted on average 5.4–9.1% by 2031. The leader in the global biosurfactant market is Europe with a share of 35%, due to the widespread use of biosurfactants in the composition of detergents, both for industrial and personal use. Conclusions. The prospects for the biosurfactants market are closely tied to advancements in biomedicine, which will expand their commercial use, as well as efforts to optimize production processes and reduce costs.

FORMATION OF STRATEGIC DIRECTIONS FOR THE USE OF ARTIFICIAL INTELLIGENCE IN THE ENTERPRISE TO ACHIEVE THE GOALS OF SUSTAINABLE DEVELOPMENT

Rapid artificial intelligence (AI) development opens new opportunities for enterprises to achieve sustainable development goals. This article summarizes the research results of applying AI to optimize production processes, reduce environmental impact, increase productivity, and strengthen social responsibility. The article aims to highlight the potential of AI for achieving enterprises' sustainable development goals and identify effective strategies for its application to increase economic efficiency, social responsibility, and environmental sustainability. A qualitative analysis of statistical data, official regulatory documents, books, and articles from accredited journals was used to achieve the goal. The obtained results showed that AI could be used to analyze production processes and forecast the demand for raw materials, optimize supply chains and reduce energy consumption, identify potential sustainability risks and develop strategies to prevent them, identify defects in production and control product quality in real-time, create personalized services and products for customers. The study highlights the importance of AI's ethical and safe use to ensure its positive impact on society and the environment. The practical value of the article lies in the systematic review of studies on the effects of AI on the sustainable development of enterprises. The obtained results can be used to improve production processes, increase enterprises' competitiveness, and promote sustainable development.

Optimization of Production Process of Alcohol Vinegar Macerated With Acai (Euterpe Precatoria) Using RSM to Add Colour and Functional Compounds to Vinegar

In Brazil, the alcohol vinegar is the cheapest vinegar found in the market and it has the lowest nutritional quality. The acai, a native Amazon fruit, is globally recognized as a super fruit and it is highly perishable. Research has been performed to deliver bioactive compounds and to substitute synthetic by the natural colourants in finished foods.

Research on the Development Status, Influencing Factors, and Countermeasures of Digital Transformation of China’s Manufacturing Enterprises

The manufacturing enterprises’ digital transformation is a complex and long-term process that requires the joint efforts of the government, enterprises, and society. By strengthening digital technology capacity building, promoting business model innovation, optimizing supply chain management, strengthening data sharing and circulation, strengthening policy support, and promoting industry-university-research cooperation, manufacturing enterprises can effectively adapt to the opportunities and challenges of the digital economy era and attain sustainable growth. This paper seeks to investigate the development status, key influencing factors, and corresponding countermeasures of manufacturing enterprise’s digital transformation. With the rapid growth of the digital economy, the manufacturing enterprise’s digital transformation has become a prominent way to enhance competitiveness, optimize production processes, and promote product innovation.

An efficient Q-learning integrated multi-objective hyper-heuristic approach for hybrid flow shop scheduling problems with lot streaming

Efficient scheduling in flow shop environments with lot streaming remains a critical challenge in various industrial settings, necessitating innovative approaches to optimize production processes. This study investigates a hybrid flow shop scheduling problem dominant in real-world printed circuit board assembly shops. A novel multi-objective hyper-heuristic combining Q-learning, i.e., two-stage improved spider monkey optimization (TS-ISMO), is tailored to address the complexities of the flow shop scheduling problems. The proposed method aims to simultaneously optimize conflicting objectives such as minimizing makespan, total energy consumption, and total tardiness time while incorporating lot streaming considerations. For multi-objective hyper-heuristic techniques, the algorithm dynamically selects and adapts a diverse set of low-level heuristics to explore the solution space comprehensively and strike a balance among competing objectives. The proposed TS-ISMO algorithm incorporates several significant features aimed at enhancing its performance. These features encompass hybrid heuristics for solution initialization, a contribution value method for comprehensive convergence and diversity assessment, diverse evolutionary state judgments to promote the algorithm’s balance between exploration and exploitation capabilities, and a Q-learning strategy for self-adaptive parameter tuning. The integration of Q-learning facilitates intelligent parameter control, enabling the algorithm to autonomously adjust its behavior based on past experiences and evolution dynamics. This adaptive mechanism enhances convergence speed and solution quality by effectively guiding the search process toward promising regions of the solution space. Extensive computational experiments are conducted on benchmark instances of hybrid flow shop scheduling problems with lot streaming to evaluate the performance of the proposed algorithm. Comparative analyses against state-of-the-art approaches demonstrate its superior solution quality and computational efficiency.