Process Cycle Research Articles

Sustainable Marketing in the Digital Age: A Systematic Review of the Latest Strategies and Tactics

This literature review describes the latest developments in the field of Sustainable Marketing in the Digital Age, focusing on a systematic review of the latest strategies and tactics used by companies in meeting the demands of consumers who are increasingly aware of environmental and social issues. In an ever-evolving digital age, sustainable marketing has become essential in achieving sustainable business goals, while still considering the positive impact on society and the environment. This study analyzes the use of digital technology in sustainable marketing, with an emphasis on the use of social media and digital platforms to educate and interact with consumers about sustainability issues. The integration of sustainable values in marketing strategy is also in the spotlight, illustrating how companies apply sustainable principles throughout the life cycle of products and business processes. In addition, this study discusses the importance of big data analysis in sustainable marketing decision making, as well as the role of consumer engagement through interactive content and participation in sustainable initiatives. The results of this literature review provide important insights for marketing practitioners, business managers, and researchers in understanding the latest trends and leveraging them to create effective sustainable marketing practices in the ever-evolving digital age.
 
 Keywords: Sustainable Marketing, Digital Age, Big Data Analysis

Analisis Lean Service Menggunakan DMAIC untuk Mengurangi Waste pada Pelayanan di SAMSAT Bone Bolango

SAMSAT Bone Bolango is one of the places providing services to the community in processing Motor Vehicle Tax. There are still many weaknesses in government public services, one of which is that the service system time is approximately 20-30 minutes. This research aims to identify waste and increase the productivity of the PKB service process at SAMSAT Bone Bolango. Based on results of service process flow mapping using Process Activity Mapping and Value Stream Mapping is known in total lead time service time was 1317.23 seconds and there was 54.45% non-value added activity time with the largest percentage causing waste, namely delay. From the results of the proposed improvements, a total lead time amounting to 861.74 seconds and enhancement Process Cycle Efficiency from 45.30% to 64.73%, this indicates that there has been an increase in company productivity after implementation lean service.

Divergence Reduction in Monte Carlo Neutron Transport with On-GPU Asynchronous Scheduling

While Monte Carlo Neutron Transport (MCNT) is near-embarrasingly parallel, the effectively unpredictable lifetime of neutrons can lead to divergence when MCNT is evaluated on GPUs. Divergence is the phenomenon of adjacent threads in a warp executing different control flow paths; on GPUS, it reduces performance because each work group may only execute one path at a time. The process of Thread Data Remapping (TDR) resolves these discrepancies by moving data across hardware such that data in the same warp will be processed through similar paths. A common issue among prior implementations of TDR is the synchronous nature of its remapping and processing cycles, which exhaustively sort data produced by prior processing passes and exhaustively evaluate the sorted data. In another work, we defined a method of remapping data through an asynchronous scheduler which allows for work to be stored in shared memory and deferred arbitrarily until that work is a viable option for low-divergence evaluation. This article surveys a wider set of cases, with the goal of characterizing performance trends across a more comprehensive set of parameters. These parameters include cross sections of scattering/capturing/fission, use of implicit capture, source neutron counts, simulation time spans, and tuned memory allocations. Across these cases, we have recorded minimum and average execution times, as well as a heuristically tuned near-optimal memory allocation size for both synchronous and asynchronous scheduling. Across the collected data, it is shown that the asynchronous method is faster and more memory efficient in the majority of cases, and that it requires less tuning to achieve competitive performance.

Additive Manufacturing for Terahertz Metamaterials on the Dielectric Surface based on Optimized Electrohydrodynamic Drop-on-demand Printing Technology.

The conventional techniques used to fabricate terahertz metamaterials, such as photolithography and etching, face hindrances in the form of high costs, lengthy processing cycles, and environmental pollution. In contrast, electrohydrodynamic (EHD) drop-on-demand (DOD) printing technology holds promise as an additive manufacturing method capable of producing micrometer- and nanometer-scale patterns rapidly and cost-effectively. However, achieving stable large-area printing proves challenging due to issues related to charge accumulation in insulated substrates and inconsistent meniscus vibration. In this paper, a smooth bipolar waveform driving method is proposed aimed at solving the problems of charge accumulation on insulated substrates and poor print consistency. The method involves utilizing driving waveforms with opposite polarities for neighboring droplets, allowing the charges carried by the printed droplets to neutralize each other. Moreover, extending the duration of the high voltage rise and fall times enhances the consistency of meniscus motion, thereby improving the stability of printing. Through optimization of the printing parameters, droplets with a diameter of 1.37 μm and straight lines with a width of 3 μm were printed. Furthermore, this approach was employed to print terahertz metamaterial surface devices, and the performance of the metamaterial is in good agreement with the simulation results. These findings demonstrate that the method greatly improves the stability of EHD DOD printing, thereby advancing the application of the technology in additive processing at the micro- and nanoscale.

Effects of multiaxial non-proportional cyclic pre-hardening on monotonic tensile and fatigue properties of 316L stainless steel

Effects of multiaxial non-proportional cyclic pre-hardening (CPH) treatment by performing tension–torsion cyclic test in a circular path on the monotonic tensile and fatigue properties of 316L austenitic stainless steel are studied. Results show that the circular path pre-hardening treatment significantly improves the yield strength but reduces the elongation of materials in comparison with the as-received (AR) material. Moreover, the fatigue resistance of 316L stainless steel after CPH treatment gets markedly degraded at the strain amplitude of 0.4 % with a 26 % decrease of fatigue life, however, the 62 % life increase is obtained at the lower strain amplitude of 0.2 %. Therefore, it is reasonable to believe that the CPH treatment can be regarded as an effective method to increase the fatigue resistance within a certain range of strain amplitude if the proper loading path and cycles of the multiaxial pre-hardening process are used. The different life variations at the high and low strain amplitudes are explained from the perspectives of macroscopic deformation energy and microscopic deformation modes based on EBSD and TEM characterizations.

Comparing the partial cooling and recompression cycles for a 50 MWe sCO2 CSP plant using detailed recuperator models

Supercritical carbon dioxide (sCO2) power cycles are attractive for renewable energy technologies as they exhibit high thermal efficiencies, compact components, and reduced cycle complexity and levelized cost of energy (LCOE) relative to traditional steam power cycles. Consequently, numerous studies have investigated different layouts and operating parameters in search of an optimal cycle configuration. Two cycle layouts provide promising results, namely the partial cooling with reheating (PCRH) cycle, and the recompression with intercooling and reheating (RCICRH) cycle. Both cycles utilise recuperators with high heat transfer rates and literature suggests that the cost for the recuperators may account for a significant portion of the total plant capital expenditure. When modelling the recuperator, most cycle comparative studies employ simplified recuperator models where heat exchanger effectiveness or conductance is utilised to approximate heat transfer. These models do not consider the effect of recuperator size and geometry on heat transfer and pressure drop in detail. In this work, for a concentrated solar power (CSP) application, the performance and component size requirements of the cycles are evaluated parametrically for different cycle mass flow split ratios, pressure ratios, and ratio of pressure ratios across the compressors using detailed discretised one-dimensional (1D) recuperator models. Furthermore, the geometry of these models are optimised (by volume) for straight and zigzag channel printed circuit heat exchangers (PCHEs), widely accepted as the most suitable for this application. Finally, a high-level cost comparison is conducted. The results show that if appropriate pressure drop assumptions are made, a simplified model approach yields valid cycle level results when compared with the results obtained using detailed models which consider practical recuperator geometry. However, the pressures and temperatures within the recuperator may not be predicted to a sufficient level of accuracy. In addition to providing clarity regarding the interplay between key cycle process parameters and cycle performance, straight channel PCHEs provide better thermofluid performance than zigzag channel PCHEs. Furthermore, the RCICRH cycle requires larger turbomachinery and a marginally higher capital outlay for the power cycle, but offers superior thermal efficiencies and requires smaller heat exchangers. For sCO2-CSP applications employing dry cooling, this suggests that the RCICRH cycle requires a smaller solar field and cooling system, and may therefore offer increased revenue in adverse weather conditions where direct normal irradiance (DNI) is low and/or ambient temperatures are high. However, the PCRH cycle requires a smaller solar receiver system, a smaller thermal energy storage (TES) system, and smaller turbomachinery, the cost savings of which may outweigh the benefits of the RCICRH cycle.

Application of natural fungi in bioconversion of lignocellulosic waste to second-generation ethanol

The second generation (2G) or cellulosic ethanol can help with diversification of the use of fossil energy sources. However, as bioconversion of plant waste into 2G bioethanol requires expensive additional steps of pre-treatment/hydrolysis of lignocellulosic materials, and this technology has not yet reached the technological readiness level which would allow it to be scaled-up, this process needs more interdisciplinary and comprehensive studies. This work was aimed at experimental study of a full cycle of successive processes of pre-treatment/saccharification using cellulolytic enzymes of filamentous fungi and fermentation of obtained syrups by xylose-fermenting yeast, using selected natural microorganisms for the fungal-based bioconversion of lignocellulosic agricultural waste to 2G ethanol. Using the Plackett-Burman and Box-Behnken methods of mathematical statistics, the optimal conditions for pre-treatment and enzymatic hydrolysis of wheat straw by a hemi- and cellulolytic multi-enzyme complex of the selected fungal strain Talaromyces funiculosus UCM F-16795 were established: microwave-assisted alkali pre-treatment with sodium hydroxide (NaOH) solutions (concentration range 4.6–4.8%), and saccharification conditions of medium pH 4, temperature 40 °С, hydrolysis duration 18 hours, and dilution of culture liquid with a buffer solution 1:1. The total energy of microwave irradiation 1.2 kJ and the ratio of substrate/enzyme solution 100 mg/1 mL were used. Under optimized conditions, wheat straw hydrolysates contained 5.0–7.5 g/L of reducing sugars, which, according to HPLC assessment, contained 0.7–1.0 g/L of glucose, 2.2–2.9 g/L of xylose and 0.7–0.8 g/L cellobiose. We used the selected strain of xylose-fermenting yeast in fermentation of mixtures of the most important monosaccharides in hydrolysates, xylose and glucose, in the concentration range relevant for syrups obtained by us during the optimized saccharification of lignocellulosic substrates with T. funiculosus enzymes. Based on sequencing and phylogenetic analysis, strain UCM Y-2810 was confirmed as Scheffersomyces stipitis; its nucleotide sequences of ITS region and 28S gene rDNA were deposited in GenBank under the accession numbers OP931914 and OP931915, respectively. The ethanologenic process for S. stipitis UCM Y-2810 was studied according to Box-Behnken design, assessing ethanol concentration by gas chromatography-mass spectrometry. Yeast fermentation under static microaerophilic conditions showed a 1.5 times higher rate of bioethanol production and 1.7 times greater efficiency of ethanologenesis per yeast biomass than for submerged cultivation. Optimization of the process of ethanologenesis resulted in the maximum rate of fermentation mixture of sugars, being 11.30 ± 0.36 g/L of ethanol, with optimal values of factors: 30 g/L of xylose, 5.5 g/L of glucose and cultivation for 5.5 days. It was revealed that the tested glucose concentrations did not significantly affect the process of xylose-fermentation by yeast, and non-competitive inhibition of xylose transport by glucose into yeast cells did not occur. This study demonstrated the potential of a full cycle bioconversion of lignocellulosic waste to 2G ethanol based on use of natural fungal strains and optimization of conditions for all steps.

Thermomechanical Analysis of Thermoplastic Mono-Material Sandwich Structures with Honeycomb Core

The application of fiber-reinforced thermoplastic mono-material sandwich panels has many advantages, such as recyclability, reduction in processing cycle times, integration of additional elements by means of welding, and a great potential for in-line production. The most efficient way to produce a curved thermoplastic sandwich panel is thermoforming, which has several challenges. One of them is to achieve a higher thermal gradient in the panel. On the one hand, the temperature at the skin–core interface must exceed the softening point of the polymer to reach a sufficient bonding degree. On the other hand, the core should not be overheated and overloaded to avoid its collapse. Furthermore, several fiber distortions, such as wrinkles or buckles, can be developed during thermoforming. All these flaws have a negative impact on the mechanical performance of the sandwich structure. The objective of this study is the development of a simulation tool for the thermoforming process, which can replace the time-consuming trial-and-error-based method. Therefore, a coupled thermomechanical model was developed for a novel thermoplastic sandwich structure, which is able to predict the temperature distribution and its influence on the mechanical properties of the panel. Experimental trials were conducted to validate the thermomechanical forming model, which demonstrated a good agreement with numerical results.

Study of changes in the aging process, microstructure, and mechanical properties of AA2024–AA1050 nanocomposites created by the accumulative roll bonding process, with the addition of 0.005 vol.% of alumina nanoparticles

We created AA2024–AA1050 and AA2024–AA1050/0.005 vol.% Al2O3 nanocomposites by six accumulative roll bonding (ARB) process cycles. We used AA2024 and AA1050 sheets with a thickness of 0.7 mm and plate-shaped alumina nanoparticles to create a composite. The two AA1050 and one AA2024 sheets (among the two AA1050 sheets) were ARB-ed up to six cycles with and without adding alumina nanoparticles. Also, a sample of the AA1050 without composite making was ARB-ed up to six cycles. We aged some composites after the ARB process in the furnace at 110, 150, and 190 °C. This project performed SEM, TEM, and EDS-MAP analyses, tensile strength, microhardness, and Pin-on-Disc tests to study the ARB-ed sheets. The results of the tensile tests showed that the tensile strength of AA2024–AA1050 created by the six cycles ARB process was two times more than primary AA1050. Also, the wear resistance of this composite was 74% more than six cycles ARB-ed the AA1050. Using 0.005 vol.% alumina nanoparticles in AA2024–AA1050 composite improved its wear resistance by 30%. In the following, the aging process caused an improvement in tensile strength and total elongation of AA2024–AA1050/Al2O3 nanocomposites.

A configurable mining approach for enhancing the business processes' performance

AbstractBusiness is a war to get the attention you deserve from your enemies, and many competitors strive to gain a prominent position. Organizations are constantly seeking innovative ways to work to stay in a competitive business environment. Business process reengineering (BPR) is one of the most management approaches that are adopted by many organizations in order to achieve a dramatic increase in performance and cost reduction. Since the risks enfolded and failure rates related to BPR projects are very high, it is necessary to find ways to support success of BPR in a systematic approach. The major target of this article is to find the implementation of the proposed model to reengineer business processes (BPs) successfully via integrating critical success factors (CSFs) of BPR and BPs' performance. It is created to detect the inefficiencies and bottlenecks in the business process, decrease costs, time and increase quality of business processes, enhance financial environment and make an effective and efficient performance of the business process. It also applies a mining technique of association rule to examine the link between CSFs and several BPs and measures business processes' performance (intended BPR success) by process time, cycle time, quality and cost pre and post reengineering BPs. Thus, it uses a way to select the appropriate model for each business process. The proposed model will be implemented using a real world the Egyptian tax authority case study in order to prove its usefulness and efficiency. Then, inferred CSFs were applied according to each process, which proved the validity and success of the proposed model.

TOB1 and TOB2 mark distinct RNA processing granules in differentiating lens fiber cells.

Differentiation of lens fiber cells involves a complex interplay of signals from growth factors together with tightly regulated gene expression via transcriptional and post-transcriptional regulators. Various studies have demonstrated that RNA-binding proteins, functioning in ribonucleoprotein granules, have important roles in regulating post-transcriptional expression during lens development. In this study, we examined the expression and localization of two members of the BTG/TOB family of RNA-binding proteins, TOB1 and TOB2, in the developing lens and examined the phenotype of mice that lack Tob1. By RT-PCR, both Tob1 and Tob2 mRNA were detected in epithelial and fiber cells of embryonic and postnatal murine lenses. In situ hybridization showed Tob1 and Tob2 mRNA were most intensely expressed in the early differentiating fibers, with weaker expression in anterior epithelial cells, and both appeared to be downregulated in the germinative zone of E15.5 lenses. TOB1 protein was detected from E11.5 to E16.5 and was predominantly detected in large cytoplasmic puncta in early differentiating fiber cells, often co-localizing with the P-body marker, DCP2. Occasional nuclear puncta were also observed. By contrast, TOB2 was detected in a series of interconnected peri-nuclear granules, in later differentiating fiber cells of the inner cortex. TOB2 did not appear to co-localize with DCP2 but did partially co-localize with an early stress granule marker (EIF3B). These data suggest that TOB1 and TOB2 are involved with different aspects of the mRNA processing cycle in lens fiber cells. In vitro experiments using rat lens epithelial explants treated with or without a fiber differentiating dose of FGF2 showed that both TOB1 and TOB2 were up-regulated during FGF-induced differentiation. In differentiating explants, TOB1 also co-localized with DCP2 in large cytoplasmic granules. Analyses of Tob1-/- mice revealed relatively normal lens morphology but a subtle defect in cell cycle arrest of some cells at the equator and in the lens fiber mass of E13.5 embryos. Overall, these findings suggest that TOB proteins play distinct regulatory roles in RNA processing during lens fiber differentiation.

Influence of the material history on the properties of recycled glass fiber reinforced polypropylene - impact of screw speed during injection molding

The changing properties of thermoplastic injection molding compounds during mechanical recycling complicate their use in structural lightweight engineering applications. Above that, an impact of the often unknown processing history on the recycled materials can be assumed, since it influences the material structure and degradation. In the present work it is investigated, how the shear load in plastification affects the properties of recycled glass fiber reinforced polypropylene during multiple processing cycles. Based on a design of experiments five processing cycles with different screw speeds are performed resulting in 47 different processing variants (screw speed, processing cycle). The samples undergo mechanical (tensile, impact), rheological (Melt Volume Rate) and morphological (fiber length distribution) tests. It was determined that the influence of the processing cycle is crucial for material degradation and properties. Also the screw speed setting directly affects the processing behaviour since it influences the melt temperature and viscosity. However, for the chosen process parameters, no clear influence of the screw speed on the resulting mechanical, rheological and morphological properties is found. The study suggests that knowledge of the screw speed setting is not essential for circular economy scenarios, as long it does not exceed the common processing recommendations.

Study on the adsorption performance of modified high silica fly ash for methylene blue.

Presently, there are several issues associated with solid waste fly ash, such as its accumulation and storage, low comprehensive utilization rate, lack of high-value utilization technology, environmental risk and ecological impact. Thus, based on the high silica content and adsorption characteristics of fly ash, two novel adsorbents, namely mesoporous silica-based material (MSM) and sodium dodecyl sulfate-modified fly ash (SDS-FA), were prepared using an ultrasound-assisted alkali fusion-hydrothermal method and surface modification method. Furthermore, effects of adsorbent dosage, initial pH, contact time, and initial concentration of the solution on the adsorption of the organic pollutant methylene blue (MB) by fly ash, MSM, and SDS-FA were investigated to select the optimal modified high silica fly ash adsorbent. Based on the adsorption isotherms and adsorption kinetics, together with SEM, XRD, FTIR and BET analyses, the adsorption mechanism of MSM for MB was revealed. The results showed that under the conditions of an adsorbent dosage of 2 g L-1, initial pH of 9, contact time of 150 min, and initial concentration of 100 mg L-1, MSM and SDS-FA exhibited removal efficiencies of 92.69% and 84.64% for MB, respectively, which were significantly higher than that of fly ash alone. The adsorption of MB by MSM and SDS-FA followed the Langmuir model and pseudo-second-order kinetics, indicating monolayer adsorption with chemical adsorption as the dominant mechanism. The mechanism of the adsorption of MB by MSM is mainly the result of the synergistic effect among its increased specific surface area, hydrogen bonding, ion exchange, and electrostatic interactions. After five cycles of adsorption-desorption process, the removal efficiency of MSM for MB consistently remained above 80%. Therefore, MSM can serve as a valuable reference for the resource utilization of fly ash and remediation of dye-polluted wastewater.

ПОСТАНОВКА ЗАДАЧИ ГЕТЕРОГЕННОГО ГРУППОВОГО ВЗАИМОДЕЙСТВИЯ РОБОТОВ ПРИ РЕШЕНИИ ЗАДАЧ УМНОГО САДА

The article considers the problem of heterogeneous group interaction of various robotic air and ground-based complexes. It proposes a conceptual model of the distribution of tasks between functionally different robotic complexes, and an appropriate mathematical formulation of the problem with the final functional according to the efficiency criterion, which boils down to the search for options that meet functional criteria. The presented final decision on the structure and functions of the grouping of robotic complexes takes into account the cost function of the entire life cycle of smart garden processing. The paper emphasizes the importance of automation and intellectualization during processing a smart garden, harvesting and reducing the time to perform technological operations, which are devoted to the research of advanced domestic. It discusses the primary data to determine the number and functionality of robotic complexes for solving the complex task of developing a smart garden. The paper highlights the computational experiments and collects typical scenarios for the use of air-based robotic complexes and ground-based robots of various functionality: transporters, collectors, handlers and others. Further research will be aimed at developing specific algorithmic solutions for specific samples of robotic complexes and experimental studies based on polygons, followed by the correction of developed mathematical models for different types of smart gardens and elaboration of technological maps to typify selected behavior scenarios of a heterogeneous group of robotic complexes.

STRATEGIC ACCOUNTING DESIGN IN THE CORPORATE ARCHITECTURE DEVELOPMENT MANAGEMENT

In the contemporary digital economy, there is a heightened need for deeper integration of accounting practices with corporate strategy. Strategic accounting provides critically important information that assists management in making decisions aimed at long-term development. However, it is the role of corporate architecture, as a pivotal player in coordinating and aligning technological and business processes, that necessitates the consolidation of all types of information. This article aims to develop the theoretical and methodological foundations for organizing strategic accounting as an element of architectural modeling and to enhance the functionality of the accounting process as a component of corporate architecture development. The hypothesis of this study posits the need for the regulation of continuous improvement processes in accounting within projects aimed at developing or revising components of the corporate architecture. The methodological framework of functional modeling IDEF0 was employed, which allowed for the representation of corporate architecture parameters and the outcomes of architectural decisions as benchmarks for the organization of strategic accounting. The developed model transforms the generalized representation of TOGAF and BIZBOK standard elements into architectural decisions. These decisions serve as benchmarks and define the parameters for organizing strategic accounting. Importantly, strategic accounting is not a rigid process, but one that is incorporated into cycles of continuous improvement. It responds to revisions of decisions concerning elements of corporate architecture, ensuring its adaptability and consistent evolution with the dynamic changes within the corporate architecture. The practical implementation of strategic accounting is realized through the guidelines of the Balanced Scorecard (BSC) concept, the benchmarks of which are also reviewed synchronously in the cycles of the accounting process. In this case, the BSC is not just a theoretical concept, but a practical working product of the organizational process. It is presented to the rest of the model’s blocks as one of the top-down regulatory arrows, ensuring its effectiveness in guiding our strategic decisions.

МЕТОДИ ДЛЯ НАПРАЦЮВАННЯ, АНАЛІЗУ ТА ПРОГНОЗУВАННЯ ВАРІАНТІВ УПРАВЛІНСЬКИХ РІШЕНЬ В ПРОЦЕСІ ЇХ ПРИЙНЯТТЯ

Methods for managerial decision-making in the process of decision-making are considered. Management decisionmaking tools are studied in the field of management and analysis. They include methods, models and approaches that help managers make informed decisions. Decision-making in any organization is a key task. It begins with determining the type of activity and strategic issues, without which the existence of the enterprise becomes impossible. Managers are guided by decision-making to minimize possible risks and achieve strategic goals. To make optimal decisions, it is necessary to carefully analyze all existing risks and optimize the decision-making process. To achieve successful solutions to these problems, it is necessary to conduct a comprehensive analysis of management decision-making methods. It is noted that the effectiveness of a decision depends on the decision-making methods. Since the stages of development and adoption of a management decision form a full cycle of the management decision-making process. At the same time, the composition and content of the stages depends on the specific management problem. The effectiveness of a managerial decision is determined by the methods used in the process of its adoption and implementation at an enterprise. The stages of development and adoption of a managerial decision from the point of view of different scientific schools are considered. The basic requirements for a managerial decision in the process of management activity are characterized, namely, realism, specificity, informativeness, and consistency. The peculiarities of applying these terms in relation to management decisions made at an enterprise are analyzed. A review of existing technologies for developing and making management decisions in the enterprise management system is carried out. The range of research methods for substantiating the adoption, development and implementation of a management decision is grouped into classes. The article also discusses the variety of decision-making methods, from those based on the intuition and experience of managers to formalized methods that use mathematical tools. This work is important for understanding and improving the decision-making process in various areas of management.

Solid-state synthesis of diminutively granular and highly crystalline manganese hexacyanoferrate for a supercapacitor electrode

A solid-state synthesis protocol enables the fabrication of diminutively granular and highly crystalline manganese hexacyanoferrate in a limited reaction region without additives and solvent.

Recent progress in SEI engineering for boosting Li metal anodes.

Lithium metal anodes (LMAs) are ideal anode candidates for achieving next-generation high-energy-density battery systems due to their high theoretical capacity (3680 mA h g-1) and low working potential (-3.04 V versus the standard hydrogen electrode). However, the non-ideal solid electrolyte interface (SEI) derived from electrolyte/electrode interfacial reactions plays a vital role in the lithium deposition/stripping process and battery cycling performance. The composition and morphology of a SEI, which is sensitive to the outside environment, make it difficult to characterize and understand. With the development of characterization techniques, the mechanism, composition, and structure of a SEI can be better understood. In this review, the mechanism formation, the structure model evolution, and the composition of a SEI are briefly presented. Moreover, the development of in situ characterization techniques in recent years is introduced to better understand a SEI followed by the properties of the SEI, which are beneficial to the battery performance. Furthermore, recent optimization strategies of the SEI including the improvement of intrinsic SEIs and construction of artificial SEIs are summarized. Finally, the current challenges and future perspectives of SEI research are summarized.

Environmental requirements in the standard for acceptance of petroleum products

The article discusses the current state of the process of receiving petroleum products at a gas station in order to eliminate and reduce losses and cycle time. A methodology for preparing a standard for obtaining petroleum products is presented and the effectiveness of its use at a gas station is determined. A standardized sequence of actions made it possible to detect problems and losses and reliably evaluate the efficiency of production processes. Based on the established sequence of operations for the process of receiving petroleum products, the standard work instructions (SWI) indicate the time for performing a separate process operation, the total time of the production cycle, the trajectory of movement through the facility between workplaces, and the classification of work taking into account compliance with safety and environmental requirements. As a result of the redistribution of all operations in order to eliminate and reduce losses and process cycle time, the best sequence of actions was established, which ensured the efficiency of the process of receiving petroleum products and environmental safety during the operation of gas stations.

DEVELOPMENT OF A SUSTAINABLE LEAN COMPETITIVE STRATEGY IN A WATER PUMP COMPANY

The manufacturing industry is currently experiencing a shift towards sustainability-driven practices and principles. Company X is one of those that want to improve their competitiveness in the manufacturing industry by implementing sustainability. However, this company experiences obstacles in its production process because production targets still need to be achieved owing to product defects that average 8.97%. This study used the sustainable lean manufacturing approach to help the company to achieve more competitive goals by reducing waste and pollution and creating more efficient production processes. The tools used in this research were process activity mapping (PAM), sustainable value stream mapping (SVSM), and the sustainability index (SI). Based on calculations with sustainability indicators, the company’s SI results amounted to 183%. The pProposed improvements were given to improve the company’s efficiency and to reduce its SI. After repairs had been made, the SI value was reduced to 118%. With the improvement in that value, production efficiency has also improved: the process cycle efficiency (PCE) value has become 90.49%, which means that the company’s production process has become more efficient.