Process Flow Chart Research Articles

Effectiveness of an adjustable trolley for specimen handling in a blood screening unit

Background: Employees involved in sample collection for testing often perform physically demanding tasks such as bending, lifting, twisting, and standing for long periods. These repetitive activities can increase the risk of musculoskeletal disorders. Objectives: This study aimed to assess the ergonomic risks associated with sample collection in a blood screening laboratory. Methods: This quasi-experimental study involved eight volunteers who worked from August 21, 2023, to June 13, 2024, in a blood screening unit in the Nakhon Sawan province. Data were collected using the Numeric Pain Rating Scale, Nordic Musculoskeletal Questionnaire, Rapid Entire Body Assessment (REBA), and flow process chart. Further analysis was conducted using the Wilcoxon signed rank test to evaluate the success of the intervention. Results: Six participants were women who frequently exhibited awkward postures, including bending, twisting, tilting, reaching with hands and arms, lifting over the shoulders, pulling, and bending their knees. The average REBA score for working postures was 11.63, indicating a high level of risk and the need for immediate corrective measures. Pain prevalence was highest in the lower back (100.0%), followed by the shoulders and upper back (87.5% each), and the neck (75.0%). After using the adjustable trolley, the risk assessment score for working postures decreased significantly to an average of 2.50. Pain levels in various body parts also showed a significant reduction, including the upper back (P-value = 0.027), lower back (P-value = 0.010), hands and wrists (P-value = 0.034), neck (p-value = 0.023), and shoulders (P-value = 0.016). Additionally, the trolley reduced the number of work steps from 16 to 9 (a 43.75% decrease) and shortened the work time per bag from 970 to 570 seconds (a 41.20% reduction). Conclusion: The use of the adjustable trolley significantly reduced awkward postures and pain, thereby lowering the risk of musculoskeletal disorders and enhancing worker safety and efficiency.

Technology of a new fermented milk beverage enriched with lactic acid and propionic acid bacteria

Probiotics used in the food industry mainly include lactic acid bacteria (LAB), bifidobacteria, propionic acid bacteria (PAB) and yeasts. Today, creation a functional food - fermented milk product based on endemic starter culture with probiotic and biochemical activity is actual. The aim of our work was to develop a probiotic fermented milk product for drink using propionic acid bacteria and autochthonous lactic acid bacteria. As a result of our researches, based on organoleptic properties, the multicomponent combination of LAB and PAB was selected; The technological parameters for obtaining the fermented milk product were determined: tithable acidity of milk - 17±2˚T; fermentation time in a thermostat - 2 hours, fermentation temperature - 43±1 ˚С, storage temperature - 4±2 ˚С; shelf life - 14 days; The selected consortium and the established technological process flow chart can be used to obtain probiotic fermented milk beverage enriched with LAB and PAB.

Adaptive models of process flow charts for mining and processing plants using machine learning technology

Adaptive models of process flow charts for mining and processing plants using machine learning technology

Production Technological Design for 500,000 Tonnes Per Year of Ethylene Glycol

Effective and reasonable chemical design of ethtlene glycol production process is of vital significance for the further improvement of our ethylene glycol production capacity. This paper carried out reasonable design of ethylene glycol water lawful production process, using reaction rectifying tower device, and optimizing calculation for each link of production, so as to obtain satisfactory products. In the comprehensive consideration of production efficiency and cost saving and other aspects of the relevant equipment is reasonable selection, and draw the PID process flow chart. It is expected to produce 500,000 tons of pharmaceutical grade glycol with mass fraction of 99.89%.

Reforming Natural Gas for CO2 Pre-Combustion Capture in Trinary Cycle Power Plant

Today, most of the world’s electric energy is generated by burning hydrocarbon fuels, which causes significant emissions of harmful substances into the atmosphere by thermal power plants. In world practice, flue gas cleaning systems for removing nitrogen oxides, sulfur, and ash are successfully used at power facilities but reducing carbon dioxide emissions at thermal power plants is still difficult for technical and economic reasons. Thus, the introduction of carbon dioxide capture systems at modern power plants is accompanied by a decrease in net efficiency by 8–12%, which determines the high relevance of developing methods for increasing the energy efficiency of modern environmentally friendly power units. This paper presents the results of the development and study of the process flow charts of binary and trinary combined-cycle gas turbines with minimal emissions of harmful substances into the atmosphere. This research revealed that the net efficiency rate of a binary CCGT with integrated post-combustion technology capture is 39.10%; for a binary CCGT with integrated pre-combustion technology capture it is 40.26%; a trinary CCGT with integrated post-combustion technology capture is 40.35%; and for a trinary combined-cycle gas turbine with integrated pre-combustion technology capture it is 41.62%. The highest efficiency of a trinary CCGT with integrated pre-combustion technology capture is due to a reduction in the energy costs for carbon dioxide capture by 5.67 MW—compared to combined-cycle plants with integrated post-combustion technology capture—as well as an increase in the efficiency of the steam–water circuit of the combined-cycle plant by 3.09% relative to binary cycles.

Chemistry, Analysis, and Biological Aspects of Daprodustat, A New Hypoxia Inducible Factor Prolyl Hydroxylase Inhibitor: A Comprehensive Review.

The National Health and Nutrition Examination Survey (NHANES) carried out a survey between 2007-10 and found that as compared to the general population, the prevalence of anemia in chronic kidney disease (CKD) patients was twice high. Daprodustat is an investigational novel drug for the treatment of renal anemia. The objective of this study is to provide a comprehensive review of chemistry, synthesis, pharmacology, pharmacokinetic, and bioanalytical methods for the analysis of Daprodustat. To improve understanding, a review was carried out by creating a database of relevant prior research from electronic sources such as ScienceDirect and PubMed. The methodology is shown in the flowchart of the literature selection process. The drug was approved in 2020 for therapeutic purposes in Japan. It is a novel drug approved for the treatment of anemia in chronic kidney disease for oral administration. It is intended for adults who have undergone dialysis for a minimum of four months and are experiencing anemia as a result of chronic kidney disease. This review examines therapeutic, pharmacological, and analytical aspects related to the novel drug Daprodustat.

Preliminary study of shear strain-based design approach for onshore wind turbine foundations

Different wind turbine foundation types were analyzed with PLAXIS 3D using a hardening/softening model with a small strain stiffness constitutive model to capture the characteristics of degradation of clays. The study found that even though the conventional design requirements were all satisfied, the shear strains under foundations varied greatly. A literature review regarding the shear strain versus soil degradation was performed, and relevant threshold strains that limit the soils to recoverable behaviors were discussed. A shear strain-based design approach was then proposed and a flowchart for the design process was presented for onshore wind turbine foundations. The proposed design approach simplifies the foundation designs under cyclic loads and relieves the concerns of cyclic degradation and the gapping issue of the foundations subjected to cyclic loads. The analysis results show the shear strains of soils could be effectively controlled within the small-strain threshold by using different structural dimensions, and sometimes together with geotechnical measures. The study found the widely used traditional gravity foundations are governed by conventional design requirements as the shear strains typically are smaller than the threshold level. However, the strain control criterion is dictating deep foundations used for wind turbines.

Time reduction in changing of plastic injection mold part bottom cover injection machine size 380 ton

This study focuses on enhancing efficiency by reducing the time required to adjust plastic injection molds on a 380-ton machine. The setup time for mold change was 61 minutes, exceeding the company's target of 30 minutes. The research employed a quasi-experimental approach, capturing pre-improvement data, measuring the time for each mold change, and documenting sub-work steps using a Flow Process Chart and a Man-Machine Chart. The main activities identified were mold change and Jig robot adjustment using the Quick changeover technique, involving internal and external activities. The study revealed that some mold-changing steps could be prepared in advance, and applying SMED (Single Minute Exchange of Die) and ECRS (Eliminate, Combine, Rearrange, Simplify) principles led to the identification of seven external adjustment steps. Assigning another employee to assist in these steps significantly reduced the average mold adjustment time to 28 minutes, representing a 54.09% improvement.

Research and Application of The PDCA Cycle in Artificial Intelligence Management Systems

The Plan – Do – Check – Act (PDCA) cycle is the basis of the process approach applied in ISO management system standards. The experience gained in working with management systems and summarized in the author’s monograph have been creatively adapted and applied in the analysis of the requirements of ISO/IEC 42001:2023 – the first standard for artificial intelligence management systems. This paper presents a method for determining the type of each requirement of the ISO/IEC 42001:2023 standard in relation to the PDCA cycle. The application of the PDCA cycle is demonstrated for selected processes and is used for creating process flowcharts. They can be based on the standards with requirements for quality, educational organizations, research and innovation centres, etc. Further on they can serve as the foundations for developing relevant documented procedures that comprise the artificial intelligence management system.

МОДЕЛЮВАННЯ ТА ОПТИМІЗАЦІЯ РЕЖИМУ ТЕРМООБРОБКИ ТРУБЧАСТИХ ЕЛЕМЕНТІВ ФЕРМЕННИХ КОНСТРУКЦІЙ ЛІТАЛЬНИХ АПАРАТІВ З ВУГЛЕПЛАСТИКУ

The article analyzes the current state of development of dimensionally stable tubular elements (TE) and technological problems arising during their production. It is shown that along with empirical methods of studying the influence of various technological schemes on the dimensional stability of tubular elements, it is useful to use the optimal temperature-time mode for heat treatment and, based on it, select the optimal technological scheme. Modeling and determination of the optimal mode of heat treatment of tubular elements were performed. The study of the TE heat treatment mode was carried out in two stages, first by methods of mathematical modeling and optimization, and then by empirical enumeration of various technological schemes. At the first stage, the material properties, which are parameters of the mathematical model, were studied, and the optimal curing modes were calculated. At the second stage, the calculated optimal curing modes were supplemented with various technological methods that cannot be mathematically modeled, and a study was carried out on the influence of the resulting combined heat treatment mode on the geometric characteristics and dimensional stability of carbon fiber TE. The mathematical model of the process of heat treatment and curing of TE in a heat chamber, when heated by a heating air flow, is a system of differential equations: thermal conductivity and curing kinetics. A mathematical model of the process of heat treatment of tubular elements manufactured by the winding method is proposed, the ways of optimizing the curing mode of carbon fiber TE are shown. A numerical calculation of temperature-conversion fields during curing and calculation of optimal curing modes of tubular elements are performed taking into account various process schemes. The values of heat capacity C and thermal conductivity l are calculated depending on the temperature T, the degree of curing b and the filling coefficient g, Безфітингова ферма з вуглепластику Безфітингова ферма з вуглепластику Безфітингова ферма з вуглепластику the power of heat release W and the thermal effect of the curing reaction Q of carbon fiber. Optimum curing modes for a plate made of composite polymer material are obtained, calculated from the data obtained as a result of studying material samples. Temperature-time curing modes are obtained, which are optimized for different thicknesses of the studied material. The statistical hypothesis about the significance of the influence of the process flow chart and reinforcement pattern on the wall thickness of a tubular element and its compressive strength was proved by the dispersion analysis method. The influence of process flow charts and heat treatment modes on the geometric and mechanical characteristics of carbon fiber tubular elements of aircraft truss structures was studied. The statistical hypothesis about the significance of the influence of the process flow chart and reinforcement pattern on the deviation of the wall thickness of tubular elements and their strength characteristics was tested. The significance of the influence of process flow charts with different heat treatment modes on the average wall thickness of a carbon fiber tubular element was statistically proven.

A Novel Plasma-Enhanced Solvolysis as Alternative for Recycling Composites

In this work, a plasma-assisted solvolysis method is proposed as an alternative method for the oxidative degradation of carbon fiber-reinforced composites (CFRCs). Nitrogen plasma ignition within bubbles in a concentrated nitric acid solution is employed, combining the synergistic effects of traditional nitric acid solvolysis and plasma chemistry. A comprehensive process flowchart, including steps such as composite pretreatment, matrix dissolution, fiber recovery and cleaning, solvent regeneration and reuse, and waste treatment, is also discussed, highlighting their importance in process effectiveness. Moreover, a study on the effect of the composite’s mass on the plasma-enhanced solvolysis process is conducted, and the results are exploited for the calculation of critical parameters such as efficiency, recovery rates, capacity, fibers quality, energy consumption, consumption of raw materials, operational and installation costs, and environmental impact. A preliminary comparison to other recycling methods based on the literature findings is also attempted, and preliminary metrics to assess the sustainability of the recycling process are proposed.

Streamlining process development and scale-up: Risk assessment to reduce workload in primary protein recovery

Risk assessment is an integral aspect of the Quality-by-Design strategy to identify potential obstacles at every stage of biopharmaceutical production, from process development to tech transfer. We explored flow process chart, root cause analysis, and failure mode and effects analysis, to assess the scale-up of bacterial cell disruption and its influence on centrifugation and filtration steps. The Ishikawa diagram suggests that data on the impact of homogenizer valve design on product release, impurity profile, particle size distribution, viscosity, and dsDNA fragment size are missing which were collected experimentally for this study. Cell lysates from micro-, lab- and pilot scales cell disruption were analyzed for the above-mentioned parameters. Process parameters affecting these output parameters were identified on each individual scale. Cell disruption on the micro scale was performed in a bead mill. High pressure homogenization was used on lab- and pilot scales. Cell disintegration by bead milling delivers homogenates of product and impurity content comparable to those on bench scale but with 3-fold higher viscosity and significantly larger dsDNA fragments, 8.0 instead of 1.0 kbp, respectively. Miniaturized pressure flow curves identified dsDNA fragment sizes as critical for filter performance during clarification. Combining risk assessment, micro scale cell disintegration and bench scale pressure flow curves allows for selective and efficient process development, and scale up for primary recovery steps.

Optimizing access to care for new patients with cancer discharged from an observation unit.

119 Background: Each year, approximately 33,000 new cancer patients seek treatment at our dedicated cancer hospital, with many placed in our observation unit, the Clinical Decision Unit (CDU). These patients often experience significant delays in receiving oncologic care after discharge resulting in distress for both patients and providers. Our goal is to reduce the two-week appointment time from CDU discharge to outpatient oncologic care by more 10% for those eligible to be seen at the hospital. Methods: In fiscal year 2023, we gathered data on patients admitted to and discharged from the CDU, focusing on new patients. A multidisciplinary team developed a fishbone diagram, process flowcharts, and an impact matrix. Interventions included automated referrals, discharge notifications, patient and provider education, discharge booklets, and oncology recommendations for urgent consults. A physician satisfaction survey was conducted pre- and post-intervention. Three months of post-intervention data (February-May 2024) were reviewed, measuring the baseline percentage of patients receiving an appointment within two weeks, one month or more after CDU discharge. Results: In 2023, 90 eligible patients new to the institution were discharged from the CDU. Of those, 3 (3%) had follow-up appointments within 2 weeks, and 39 (43%) had appointments after 30 days or no appointment at all. Post-intervention data showed that out of 15 new patients discharged between February and May 2024, 10 (66%) had follow up appointments within 2 weeks, 4 (27%) within 30 days, while 1 (7%) had not yet received an appointment. Conclusions: Streamlining the referral process through a central service, automating the requests, and educating both providers and patients can reduce the time to establish oncologic care through an observation unit. However, limitations remain for patients with out-of-network insurance or lack of insurance coverage. Further research is necessary to assess whether expediting follow up cancer care for new patients improves clinical outcomes and relieves associated stress as we suspect it does. Time interval for new patients to acquire oncology clinic appointments post discharge. Dates/Time Frame Eligible New Patients with Appointments Within 2 weeks Eligible New Patients with Appointments within 15 to 30 days Eligible New Patients with No Appointment or Appointment > 30 days* Baseline DataFY 2023 3%(3/90) 53%(48/90) 43%(39/90) Post-Intervention:2/6/24 – 5/6/24 66%%(10/15) 27%(4/15) 7%(1/15) *Includes patients without follow up.

УТИЛИЗАЦИЯ МЕТАЛЛИЧЕСКОГО ПОРОШКА ВЫСОКОУГЛЕРОДИСТОГО ФЕРРОХРОМА МЕТОДОМ САМОРАСПРОСТРАНЯЮЩЕГОСЯ ВЫСОКОТЕМПЕРАТУРНОГО СИНТЕЗА (СВС)

This article discusses the methods of recycling high-carbon ferrochrome metal powder by self-propagating high-temperature synthesis. The article is devoted to the study of aspiration metal dusts formed during the production of ferroalloys. The article analyzes the composition of the source material, its physicochemical properties, and the impact on the testing process. The publication touches upon the relevance of this topic and the advantages of the self-propagating high-temperature synthesis method. Particular attention was paid to comparative analyses of this method from other traditional material processing processes. This article will help to consider the problem of environmental pollution and the impact of traditional metallurgical processes on the ecosystem. The authors also analyze in detail the physical properties of the original powder samples and their combustion temperature mode. The publication shows the process flow charts, laboratory devices, and the type of resulting material. This article provides a detailed analysis of the types of laboratory devices, their physical and mechanical properties. The publication provides a thorough and detailed chemical analysis of the resulting material. In the course of the study, the expected results were obtained, which are presented in the form of tables and a figure. The article consists of an introduction, main part, conclusion, conclusion and list of references.

Improving influenza vaccination assessment and uptake, one step at a time in a cancer center.

280 Background: Influenza immunization has shown to decrease morbidity and mortality of influenza infections. From September to December 2022, at the infectious diseases (ID) clinic at our institution, 73% of the patients did not undergo influenza immunization assessment during their clinical encounters and only 3% of the patients had the influenza vaccine administered. Furthermore, documentation of vaccine discussion was done in 73% of cases. Our aim was to improve vaccination assessment from 73% noncompliant to 50%. Methods: A multidisciplinary team of nurses, nurse leaders, pharmacists, and quality specialists was assembled to analyze baseline data on influenza vaccination assessment, administration, and documentation at the ID clinic from Sept to Dec 2022 using The Model for Improvement. Quality tools were utilized including Cause and Effect Diagram, Current State Process Flow Chart and Prioritization Matrix, to identify and prioritize opportunities for improvement creating a worklist for improvement focus. Vaccine assessment measured via EPIC immunization tab marked as reviewed, discrete areas to document vaccination and their administration were not a part of nursing or provider’s workflow. Using the Plan, Do, Study, Act (PDSA) method, the following changes were tested: PDSA Cycle 1; A green sticker highlighted those patients needing vaccine assessment. PDSA Cycle 2; A smart phrase was created for documentation in nurses’ notes and PDSA Cycle 3; provider’s notes regarding vaccine recommendations. Results: Interventions were associated with an improvement of influenza assessment via the immunization tab marked as reviewed in the ID outpatient clinic from 73% noncompliance to 3% noncompliance from September 2023 to March 2024. Concurrent with improvement of our assessment process, our on-site vaccination rate increased from 97% error to 89% error (Table) and there was 50% improvement in provider’s documentation. Conclusions: The formation of a multidisciplinary working group and implementation of quality tools interventions resulted in timely significant improvement in vaccination assessment, documentation, and administration. Subsequently, we were granted institutional approval to add an EPIC clinical decision support tool to standardize influenza vaccination documentation. Future strategies include implementation and evaluation of the utilization of Health Maintenance tool in the ID clinic before expansion to other clinics in our institution. Influenza vaccine administration vs outpatient visits in the ID clinic. Month/Year # Outpatient visits # Vaccines administered in clinic % of vaccines administered Influenza Sep-Dec 2022 1827* 54 2.95% Influenza Sept 2023-March 2024 2682 251 9.36% *Includes video and telephone visits.

Effectiveness of integrated care models for stroke patients: A systematic review and meta-analysis.

Given that stroke is a leading cause of disability and mortality worldwide, there is an urgent need for a coordinated healthcare approach to mitigate its effects. The objectives of this study were to perform a systematic review and meta-analysis of stroke integrated care models and develop recommendations for a representative model. A systematic review and meta-analysis. The literature search identified randomized controlled trials comparing integrated care models with standard care for stroke patients. The included studies followed PICOs inclusion criteria. The qualitative analysis included creating a flowchart for the literature screening process, and tables detailing the basic characteristics of the included studies, the adherence to the ten principles and the results of the quality assessments. Subsequently, quantitative meta-analytical procedures were conducted to statistically pool the data and quantify the effects of the integrated care models on stroke patients' health-related quality of life, activities of daily living, and depression. The China National Knowledge Infrastructure (CNKI), Wanfang Data, Chongqing VIP Chinese Science and Technology Periodical Database (VIP), China Biology Medicine Disc (CBMDISC), Cochrane Library, Cumulated Index to Nursing and Allied Health Literature (CINAHL), PubMed, Web of Science, Embase, Google Scholar, and Clinical Trials were searched from inception to March 13, 2024. Of the 2547 obtained articles, 19 were systematically reviewed and 15 were included in the meta-analysis. The integrated care models enhanced stroke patients' health-related quality of life, ability to perform activities of daily living, and reduced depression. Adherence to the 10 principles varied: comprehensive services, patient focus, and standardized care delivery had strong implementation, while gaps were noted in geographic coverage, information systems, governance structures, and financial management. Integrated care models improve outcomes for stroke patients and adherence to the 10 principles is vital for their implementation success. This study's findings call for a more standardized approach to implementing integrated care models, emphasizing the need for integrated services, patient-centred care, and interdisciplinary collaboration, while also addressing the identified gaps in terms of integration efforts. This study provides evidence-based recommendations on the most effective integrated care approaches for stroke patients, potentially leading to better patient outcomes, reduced healthcare costs, and improved quality of life.

Analysis of Business Process Re-Engineering in the Implementation of Robotic Sorting Machines in the Middle Mile Process at PT Pos Indonesia (Persero)

PT Pos Indonesia faces challenges in improving courier service business processes due to business change trends. This study aims to identify and analyze inefficiencies in the middle mile supply chain business process of PT Pos Indonesia Processing Centre Surabaya and determine the number of robotic mega bots needed to improve efficiency. The research method uses quantitative information, observations, interviews, computer simulations, Value Stream Mapping process flow charts, and Business Process Reengineering concepts. The results showed that the use of mega bot robots had a positive and significant impact on the company's reputation, and the sorting process carried out using robotic mega bots was appropriate because it had a significant impact on the effectiveness and efficiency of business process improvements at PT Pos Indonesia (Persero).

Analisis Dan Pemodelan Proses Bisnis Event Pada Dinas Pemuda dan Olahraga Sumatera Utara

The North Sumatra Youth and Sports Service is one of the government agencies responsible for youth services, partnership services, sports services and supporting services as regulated by law in North Sumatra Province. Therefore, this research was conducted with the aim of modeling and mapping the business processes of the North Sumatra Youth and Sports Department in accordance with Minister of Youth and Sports Regulation. By using Business Process Model Notation (BPMN) for business process notation and flowcharts for notation in compiling SOP documents. This research begins with assessing SOP needs, planning and preparing business processes, developing business processes, then verifying the business processes created, compiling SOPs and carrying out SOP verification and SOP validation. The results of this research are in the form of an optimum and efficient event business process model, as well as recommendations for improvements that can be implemented by the Youth and Sports Department.

Improving Customer Service Efficiency Using Demand Forecasting with Leagile and Lean Six Sigma Concepts: A Case Study

Background and Objectives: The coffee industry is a highly competitive business, especially for coffee shops that provide fresh coffee. Prolonged service times in such establishments can significantly impact activity-based costing. Although previous research has addressed issues related to extended waiting times, there is a gap in understanding how demand forecasting, combined with Leagile and Lean Six Sigma methodologies, can improve service processes in small coffee shops. This study seeks to identify the maximum increase in beverage demand periods through demand forecasting and implement Leagile and Lean Six Sigma strategies to enhance customer service, decrease activity-based costs, and improve overall efficiency. Methodology: The data on product sales throughout the year 2022 during operating hours were collected from January 1st to December 31st. Python and Autoregressive Integrated Moving Average (ARIMA) were employed for sales forecasting to find the maximum increasing period of demand, and the accuracy of predictions was evaluated using metrics such as Mean Absolute Percentage Error (MAPE), Mean Square Error (MSE), Mean Absolute Error (MAE). The in-depth interviews were conducted with key informants. The application of Leagile and Lean Six Sigma concepts, with various tools such as service blueprint, process flow chart, activity value analysis, and Cause-and-effect diagram, took place over the period from March 1st to April 31st, 2023 to improve the customer service process. Results: The main findings of the study revealed that peak demand occurred during two specific periods: 07:45-08:00 a.m. and 12:45-01:00 p.m., with increases of 73.2% and 76.8%, respectively. The research identified and addressed five non-value-added activities in the service process which are queuing for ordering, writing down the order on paper, asking for the customer’s name and writing it down on the receipt, folding the tissue paper onto the cup, and choosing the proper straw. Decreasing those processes resulted in a notable 20.71% reduction in lead time (equivalent to 87 seconds per cup). Additionally, four out of five activities (80%) that cause idle time, consist of writing down the order on paper, asking for the customer’s name and writing it down on the receipt, folding the tissue paper onto the cup, and choosing the proper straw, were successfully eliminated. These improvements contributed to an estimated daily reduction of 2,350 baht in activity-based costs, translating to a monthly saving of 61,110 baht. Discussions: Entrepreneurs should consider using demand forecasting to identify peak times of demand, aiming to enhance the efficiency of customer service processes in conjunction with the Leagile and Lean Six Sigma concepts. This involves collecting and analyzing data, identifying the root causes of problems, selecting an appropriate decoupling point to modify the workflow, and utilizing forecast-driven principles in the Lean model. The workflow is then transformed using order-driven principles in the Agile model. Eliminating non-value-added activities is a crucial method to enhance the efficiency of customer service processes, reducing customer waiting times and minimizing unnecessary business activity-based costs. Conclusions: Integrating demand forecasting with Leagile and Lean Six Sigma principles proves beneficial for fresh coffee shops, enhancing operational efficiency and reducing unnecessary activity costs.

Chitosan Oligosaccharide Laser Lithograph: A Facile Route to Porous Graphene Electrodes for Flexible On-Chip Microsupercapacitors.

In this study, a convenient chitosan oligosaccharide laser lithograph (COSLL) technology was developed to fabricate laser-induced graphene (LIG) electrodes and flexible on-chip microsupercapacitors (MSCs). With a simple one-step CO2 laser, the pyrolysis of a chitosan oligosaccharide (COS) and in situ welding of the generated LIGs to engineering plastic substrates are achieved simultaneously. The resulting LIG products display a hierarchical porous architecture, excellent electrical conductivity (6.3 Ω sq-1), and superhydrophilic properties, making them ideal electrode materials for MSCs. The pyrolysis-welding coupled mechanism is deeply discussed through cross-sectional analyses and finite element simulations. The MSCs prepared by COSLL exhibit considerable areal capacitance of over 4 mF cm-2, which is comparable to that of the polyimide-LIG-based counterpart. COSLL is also compatible with complementary metal-oxide-semiconductor (CMOS) and micro-electro-mechanical system (MEMS) processes, enabling the fabrication of LIG/Au MSCs with comparable areal capacitance and lower internal resistance. Furthermore, the as-prepared MSCs demonstrate excellent mechanical robustness, long-cycle capability, and ease of series-parallel integration, benefiting their practical application in various scenarios. With the use of eco-friendly biomass carbon source and convenient process flowchart, the COSLL emerges as an attractive method for the fabrication of flexible LIG on-chip MSCs and various other advanced LIG devices.