PENERAPAN DIAGRAM KENDALI MAXIMUM MULTIVARIATE CUMULATIVE SUM (MAX-MCUSUM) PADA PENGENDALIAN KUALITAS PRODUK KACANG (Studi Kasus: Produk Kacang Garing di PT XY)

Now, Statistical quality control be a particular concern to large companies.PT XY is one of the largest nut company in Indonesia that has implemented the quality standards of a product. Max-MCUSUM control chart becomes a tool that is graphically used to monitor and evaluate whether the process is under control or nut. Based on Cheng and Thaga (2005), Max-MCUSUM control chart takes precedence over detecting small shift based on average and variability in industry data. The quality characteristic of Kacang Garing will be variables, namely broken nut skin, bean seed 1, and foam nut skin. Max-MCUSUM control chart is controlled with the control limit (h) from ARL (Average Run Length) simulation of 370 is 429,69. ARL is an average of samples that need to be decribed before it goes out of control. The research continued with multivariate capability process with MCp worth 0,905 and MCpk worth 1,355. Those value indicates that Kacang Garing has met the quality specification stipulated by PT XY. Broken nut skin becomes the most dominant cause based on pareto chart and carried out analysis by using fishbone chart so that is known the main factor causing broken nut skin are machine, material, and method.

Quality risk assessment and DoE – Practiced validated stability-indicating chromatographic method for quantification of Rivaroxaban in bulk and tablet dosage form

A systematic DoE and Analytical Quality by Design (AQbD) approach was utilized for the development and validation of a novel stability indicating high-performance thin–layer chromatographic (HPTLC) method for Rivaroxaban (RBN) estimation in bulk and marketed formulation. A D-optimal design was used to screen the effect of solvents, volume of solvents, time from spotting to development and time for development to scanning. ANOVA results and Pareto chart revealed that toluene, methanol, water and saturation time had an impact on retention time. The critical method and material attributes were further screened by Box-Behnken design (BBD) to achieve optimal chromatographic condition. A stress degradation study was carried out and structure of major alkaline degradant was elaborated. According to the design space, a control strategy was used with toluene: methanol: water (6:2:2) and the saturation time was 15 min. A retention factor (RF) of 0.59 ± 0.05 was achieved for RBN using chromatographic plate precoated with silica gel at detection wavelength 282 nm with optimized conditions. The linear calibration curve was achieved in the concentration range of 200–1,200 ng/band with r 2 > 0.998 suggesting good coordination between analyte concentration and peak areas. The quadratic model was demonstrated as the best fit model and no interaction was noted between CMAs. The optimized HPTLC method was validated critically as stated in International Conference on Harmonization (ICH) Q2 (R1) guideline and implemented successfully for stress degradation study of RBN. The developed HPTLC method obtained through AQbD application was potentially able to resolve all degradants of RBN achieved through forced degradation study. The obtained results demonstrate that a scientific AQbD approach implementation in HPTLC method development and stress degradation study drastically minimizes the number of trials in experiments, ultimately time and cost of analysis could be minimized.

Risk Mitigation Strategy and Efficiency Improvement of PT Gasses Logistic Transportation using Six Sigma DMAIC Method

PT Gasses Logistic is one of the companies that operates in the downstream oil and gas industry that focuses on providing logistic services and other support. From oil, gasses, to lubricant, together with their partnership, PT Gasses Logistic are responsible of transporting those goods to their consumers across Indonesia. Also, PT Gasses Logistic is the subsidiary/child company from one of the biggest state-owned enterprises in Indonesia. The core business of PT Gasses Logistic is transportation, that is why every type of problem in transportation needed to be solved quickly. Through this research, it is identified 4 problems by using Pareto Chart. The problems are work & traffic accident, losses while loading & unloading operation, risk in damaging MESRAN MIN 40, and risk in damaging RORED EPA MIN 90. Those problems will be evaluated with risk management framework and analyse further using Six Sigma DMAIC method. Risk management framework will be used to identify the risk rating for each risk, which will be used when planning the mitigation strategies. Six Sigma DMAIC method will identified what is the problem, how it the performance regarding the process related to the problem, what is the root causes, how to improve it, and how to control it. After using the risk management framework and Six Sigma DMAIC method, it is found that the root causes of the problems, which is identified by using fishbone diagram tools, is People and Machine. The author then provided the risk mitigation strategies solution of improvement, the implementation plan, and how to control it. With this research, the author hopes that it will help reducing/mitigating any losses received by PT Gasses Logistic incurred by those problems.

Upgrading the Chemotherapy Consent: Trading in Paper for Tablet

PURPOSE: Our institution participated in the Oncology Care Model, which required us to include many of the 13 elements of the National Academy of Medicine (NAM) care plan into care pathways for our patients. We optimized our existing chemotherapy consent process to meet this need and maximized completion. METHODS: Our multidisciplinary committee developed a three-phase Plan-Do-Study-Act process in our breast cancer clinic: (1) update and educate providers on our paper chemotherapy form with multiple components of the NAM care plan including prognosis and treatment effects on quality of life; (2) piloted an electronic chemotherapy consent form to decrease the administrative burden; and (3) autopopulated fields within the electronic consent. We assessed feedback after cycle 1 and created a Pareto chart. The outcome measure was percent completion of chemotherapy consent documents. RESULTS: Baseline monthly random chart audit of 40 patients revealed 20% of paper chemotherapy consent forms were completed in their entirety among patients. When we re-educated clinicians about the new paper consent containing the NAM elements, compliance rose to nearly 30%. A Pareto chart confirmed that content redundancy and wordiness were leading to under-completion. After creating and piloting the electronic consent, compliance increased to 90%. Finally, autopopulation with drop-down selections increased and sustained completion to 100%. CONCLUSION: Incorporating regulatory requirements into an existing workflow using Plan-Do-Study-Act methodology can reduce administrative burden on clinicians. Additional use of innovative technology can further increase clinician compliance with regulatory requirements while delivering high-value quality care to patients with cancer.

Stability assessment and process capability analysis in a food pasta company

Statistical quality control is a set of tools and techniques that allows to verify, monitor and control the variability of processes to improve product quality and business competitiveness. The objective of this study was to evaluate the pasta production process of a company that belongs to the food industry sector in terms of stability and compliance of quality specifications. The Six Sigma improvement methodology was used, which focuses on identifying and eliminating the causes of variation in the processes. Data collection was accomplished by the use of different techniques, such as: interviews, brainstorming, review of documents, teamwork and direct observation. In addition, process documentation techniques and classical quality tools including Pareto chart, control charts, process capability analysis, histogram, Ishikawa diagram and experimental design were used. Multivariate data reduction techniques were also applied. The results showed for the quality characteristic Humidity that the process is out of statistical control and it is uncapable to meet the required specifications, for which the causes were investigated and improvement actions were proposed, achieving an increase in the sigma quality level.

Quality control in the production process of sunflower oil

The typical problem of vegetable oil processing is to ensure the consistency of the output quality. The one parameter that mostly affects quality is the presence of wax, which commands control at all stages of the process (refinement, odours removal, freezing). Statistical methods of analysis can be usefully applied to the improvement of vegetable oil processing, as demonstrated by this study. The authors in fact used statistical methods in order to: a) optimize parameters consistency, b) enhance process efficiency, c) improve economic performance and finally, d) assess process stability. The following statistical tools were used in the study: 1) Histograms, 2) Shewhart Charts, 3) Ishikawa Diagrams and, 4) Pareto Chart. A first major finding was that the occurrence of process flaws that would result in product rejection had a 5% probability of happening at all stages of the process. Moreover, the analysis of process stability with maps of average values and ranges leads to the finding that the process itself is statistically unstable. Finally, cause-and-effect relationships of influencing factors (such as the quality of feedstock) were investigated, thus determining the main causes of flaw in the production process. This leads to the definition of corrective actions, the effectiveness of which was then investigated and evaluated.

Assessment of external defects at mechanical engineering enterprises

The methodology for calculating the constituent elements that form external defects in the manufacture of engineering products is considered. A classic quality control tool, a Pareto chart, is proposed to analyze the causes of defects and their cost. When testing the methodology on the example of the production of gearboxes, it was revealed that the number of defects has a different ranking order relative to the assessment of external losses. For the formation of corrective and preventive actions, it is recommended to use two diagrams at the same time. Keywords: external defect, losses, quality control tools, Pareto chart. [email protected]

Process improvement design at PT URW using failure mode and effect analysis

PT URW is a company engaged in the textile sector that processes yarn into semi-finished fabrics. Such is the case that PT URW has a problem with its waste materials. To address this, the researcher has implemented the method of failure mode and effect analysis (FMEA). In data collection and processing, the researcher defined the problem, collected data, took measurements using the critical waste method, and interpreted the data into the Pareto Chart. The area that had the greatest value was continued to the analysis stages of critical waste analysis, FMEA analysis, and alternative solutions. The research was concluded by providing corrective solutions based on the potential causes that had been found in the previous stage and by validating the formed planned improvements.

Probabilistic Dynamic Modelling and Prediction Workflows: Application to Multi-Layered Waterflood Reservoir with 90 Years Production History and 293 Wells

This paper presents a probabilistic modeling and prediction workflow to capture the range of uncertainties and its application in a field with many wells and long history. A static model consisting of 19 layers and 293 wells was imported as the base model. Several reservoir properties such as relative permeability, PVT, aquifer, and initial condition were analyzed to obtain the range of uncertainties. The probabilistic history matching was done using Assisted History Matching (AHM) tools and divided into experimental design and optimization. The inputted parameters and their range sensitive to objective functions, e.g., oil rate/total difference, could be determined using a Pareto chart based on Pearson Correlation during experimental design. The optimization phase carried over the most sensitive parameters and utilized Particle Swarm Optimization (PSO) algorithm to iterate the process and find the equiprobable models with minimum objective functions. After filtering a set of models created by AHM tools by the total oil production, field/well oil objective functions, the last three years' performance, and clustering using the k-means algorithm, there are 11 models left. These models were then analyzed to understand the absolute risk and parameter uncertainties, e.g., mobile oil or sweep efficiency. Three models representing P10, P50, and P90 were picked and used as the base models for developing waterflood scenario designs. Several scenarios were done, such as base case, perfect pattern case, and existing well case. The oil incremental is in the range of 1.60 – 2.01 MMSTB for the Base Case, 7.57 – 9.14 MMSTB for the Perfect Pattern Case, and 6.01 – 7.75 MMSTB for the Existing Well Case. This paper introduces the application of the probabilistic method for history matching and prediction. This method can engage the uncertainty of the dynamic model on the forecasted production profiles. In the end, this information could improve the quality of management decision-making in field development planning.

Causes and Associated factors of Operation Cancellation at Cardiothoracic Ain-Shams University Hospital

Background Cancellation of elective operations is a sensitive indicator of operating room management. It results in loss of time, resources and affects quality of care. Operating room cancellation of elective operations is defined as cases that appeared in the definitive operative room list that ultimately were not performed on that day. Objectives To measure cancellation rate at Cardiothoracic Ain-Shams University hospital, Egypt and to identify causes and factors associated to cancellations. Methods Cross-sectional study that included 254 operations in all operating rooms of Cardiothoracic Ain Shams university hospital which provides specialized tertiary level of care. Results The overall cancellation rate is 21.7%, The most frequent cause of cancellation is standby operations accounting for 29.4%. Pareto chart shows that vital few causes are “patient prepared as stand by”, “previous long operation”, “change in Patient’s clinical status”, “equipment failure” and “ICU bed unavailable”. These causes are responsible for 80% of cancellations. Conclusion and Recommendation The avoidable causes of the problem should be addressed. Policy changes are recommended as well as continuous documentation and analysis of cancellation and its causes. Periodic awareness lectures for health care providers are suggested.