scholarly journals Application of the six sigma methodology in the area of paste preparation of a company in the ceramic sector

Respuestas ◽  
2020 ◽  
Vol 25 (3) ◽  
Author(s):  
Diana Carolina Álvarez-Rozo ◽  
Oscar Orlando Ortiz-Rodríguez ◽  
Ivanhoe Rozo-Rojas

At present, there are a large number of quality improvement techniques, making it difficult for companies to decide which to apply. In this research, the paste preparation area of ​​a ceramic tile manufacturing company was studied, and the result of this stage is directly reflected in the quality of the final product. The general objective was to apply the Six Sigma methodology in the paste preparation process of a ceramic company; likewise, to evaluate the measurements of the variables that intervene in the paste preparation area of ​​the productive process of a ceramic company and the causes that affect the quality. The application of the six sigma methodology requires the application of statistical tools because the term sigma represents the standard deviation of a distribution and is key to know its variability (Sharma, Bhardwaj, & Kumar, 2013). The implemented methodology is the one proposed in the DMAMC cycle: Design, Measurement, Analysis, Improvement, and Control or DMAIC (Define, Measure, Analyze, Improve, and Control). The critical quality variables were established for each of the three stages of the pasta preparation area: raw materials, grinding, and atomization. The data obtained in the technological tests were organized in tables and graphs, to analyze the results qualitatively and quantitatively, using Minitab and SPSS. As a result, the evaluation of the paste preparation area is obtained, as well as the processing capacity of the different variables of the raw material stage, which exceeds 95%, except for the variables of loss by fire and viscosity. As for the grinding stage, the variable viscosity (Z = 1.45), with a processing capacity equivalent to approximately 85%. There are statistically significant differences. Finally, the variables of the atomization stage have a higher process capacity, 98%.

2014 ◽  
Vol 70 (a1) ◽  
pp. C1563-C1563
Author(s):  
Marilene Ângelo ◽  
Jennifer Jacon ◽  
Olimpia Maria Santos ◽  
Edith Cristina Cazedey ◽  
Rudy Bonfilio ◽  
...  

Polymorphs are compounds with the same chemical composition, however the molecules are arranged in at least two different ways in the solid state. Famotidine is a histamine H2-receptor antagonist inhibitor of gastric secretion and widely used in gastric and duodenal ulcer disease. Two polymorphs are described for famotidine, A and B. The polymorph A is the most thermodynamically stable form and polymorph B is the kinetically favored form being marketed because it presents greater pharmacological activity. The aim of this study was to evaluate the occurrence of famotidine polymorphs in five raw materials acquired from different suppliers. The reference standard (USP) was also analyzed. All samples were characterized by powder X-ray diffraction (PXRD), infrared spectrophotometry (IR-ATR) and differential scanning calorimetry (DSC). PXRD analysis enables us to identify form B in five raw material samples and in the reference standard (USP). However, one of the raw materials additionally shows the presence of polymorphic form A. The DSC and IR-ATR techniques were essential to identify the polymorphic forms of famotidine confirming the results obtained by PXRD. Since the presence of polymorphs can compromise the effectiveness and safety of medicines and there is no official methodology of analysis and control of polymorphism in famotidine raw materials, the polymorphic contamination found in this study are being further analyzed and their physicochemical properties are being evaluated.


Author(s):  
K. Shevchenko ◽  
A. Grigorov ◽  
I. Sinkevich

In order to improve the performance properties, in particular viscosity-temperature, of boiler fuel, it is proposed to combine them with narrow fuel fractions obtained by thermal destruction of secondary polymer raw materials (low pressure polyethylene and polypropylene). When compounding grade 100 fuel oil with narrow fuel fractions, the values ​​of density are reduced to 865 (873) kg / m3, conditional viscosity to 2.50 (2.63) deg. um., pour point up to 8 (13) °C), sulfur content up to 0.17 wt%. and the lower heat of combustion increases to 43606 (43850) kJ / kg. At the same time, there is a gradual decrease in the value of the flash point to 114 (127) °C. This reduction is a negative point, which leads to increased fire safety of fuel oil during its use, storage, pumping and transport. However, the values of the flash point, according to the requirements of regulatory documentation, are within acceptable limits. That is, the value of this indicator can limit the content of fuel oil in narrow fuel fractions. It is determined that the rational concentration of narrow fuel fractions in the composition of fuel oil grade 100, is within 30% of the mass. Within these limits, there is a permissible decrease in flash point values – an indicator that characterizes the fire hazard of fuel oil during its use, storage, pumping and transportation against the background of improving other performance properties of fuel oil. The production of the proposed compound boiler fuel on the one hand allows to expand the raw material base of the process by involving in the production process secondary polymer raw materials – solid waste subject to mandatory disposal, on the other – to meet existing demand for boiler fuel by increasing its production.


2013 ◽  
Vol 462-463 ◽  
pp. 578-584
Author(s):  
Kulpiya Seri ◽  
Senjuntichai Angsumalin

This research applies Six Sigma approach in order to reduce defect by increasing the assembly process capability index (Cpk) of Integrated Circuit (IC) production process. This study applies five phases (DMAIC) of Six Sigma approach beginning with define (D), measure (M), analyze (A), improve (I) and control (C) phases, respectively. The response of the research identified in the define phase is the chipped width with Cpk of 0.66 determined from the measure phase. The half-factorial experiments are implemented in the analyze phase to find the significant factors which are water temperature, water pressure and feed rate. In improve phase, the additioanl expriments are performed according to the Box-Behnken design in order to determine the non-linear relation between the chipped width and all mentioned factors. The optimal setting of each factors are determined by applied the response surface optimizer. Under the optimal setting, the control charts are used in the control phase to monitor the chipped width. The resulted Cpk of the response is increased to 1.39 which is greater than the one-sided accpetable process capability of 1.25.


Author(s):  
Malaya Kumar Mishra ◽  
Tapan Kumar Das ◽  
Kathiravan Srinivasan ◽  
Dushantha Nalin Jayakody

Call set up success rate (CSSR) in a mobile network is an important quality parameter, which directly influences overall key performance indicators (KPIs) of the network service providers. Network KPIs especially the CSSR is the fraction of the attempts to make a call that result in a successful connection to the dialled number. Nevertheless, all call attempts do not end with a connection to the dialled number. In this research, six sigma methodology is applied to improve the call quality of a legacy mobile network and subsequently to boost comprehensive CSSR of a telecom service provider. This research elucidates an empirical study of improving overall CSSR by employing DMAIC methodology consisting of five stages, e.g. Define, Measure, Analysis, Improve and Control. In addition, analytic hierarchy process (AHP) technique is used for determining the vital causes out of all the identified network parameters affecting overall CSSR. Furthermore, the identified vital parameters are being upgraded in order to improve the overall CSSR and finally the system achieved a higher CSSR.


Author(s):  
Sutrisno Harianto ◽  
Ellysa Nursanti

Traditional cast brass handicrafts Majapahit is one of the nation's cultural heritage which has a high historical value. The uniqueness and quality become the hallmark of this craft products. The results of handmade products such as sculptures, wall hangings, souvenirs, ornaments doors and so on. To increase the sales of traditional handicrafts of brass castings, required Majapahit applicative technical efforts in improving the quality of products which are ecofriendly. Quality improvement method such as Six sigma. Six sigma focuses on decreasing flawed rate, by reaching the standard 3, 4 flawed in a thousand possibility. Six sigma has 5 phases; define, measure, analyze, improvement, and control. In this research, six sigma is applied in producing cast brass handicraft starting from making the master mold, preparation of smelting raw materials, cooling process, releasing of the mold, and finishing. Purposefully to improve the quality by overcoming and decreasing the high of flawed possibility and also applying marketing mixture in improving the market segmentation of traditional cast brass of Majapahit market. The result is quality improvement is shown by decreasing happen in number of flawed product in total of mean for about 154, 8 decreased to 59,5. While the calculation of the six sigma, flawed product of cast brass handicraft is for about 1,7625 sigma value or being in level 2 and increased to 3,725 or being in level 4 with the flawed possibility in amount 235,000 for thousand times of production. The ability of production for the requirement which is wanted by the consumers and owning a good enough capability but still needed some correction to achieve world class home industry


2019 ◽  
Vol 46 ◽  
pp. 398-413
Author(s):  
Monica Margarit ◽  
Madalina Dimache

The Necropolis of Chirnogi – Suvita Iorgulescu (Calarasi county) was located on the high terrace of the Danube and was investigated by Done Serba˘nescu (in 1989) by means of the archaeological excavations carried out for the construction of the Danube-Bucharest Channel. For this study, we analysed the archaeological assemblage preserved in the Museum of Gumelnita civilization from Oltenita (Calarasi county) coming from 10 graves, out of a total of 58, which are attributed to the Gumelnita culture (the second half of the 5th millennium BC). The personal adornments are mainly bracelets made of Spondylus valve (16 specimens) which appear in most of the graves, along with an equal number of perforated plates made of Sus scrofa canine, this time the pieces being grouped into two graves. The funeral inventory is complemented by small cylindrical, tubular or biconvex beads, made of various raw materials: Spondylus valve, bone, malachite, cooper and green slate. At the technical level, attention is drawn towards the technological transformation scheme of the raw material, which is extremely uniform for the two main categories of ornaments. Also, the analysed pieces showed different degrees of use-wear, demonstrating on the one hand that they were worn before the deposition in graves, and on the other that the accumulationof these items took place over time.


Author(s):  
Deni Ahmad Taufik ◽  
Indra Setiawan ◽  
Muhammad Wahid ◽  
Abdul Rochim ◽  
Muhammad Tosin

Production planning and control in a manufacturing company involves all production activities from raw material requirements to finished products. The Jakarta Automotive Components Industry is engaged in manufacturing which produces leaf spring products that are sent to several regular customers, namely the Automotive Assembly Industry. Leaf spring Hino OW 190/200 is the type of spring ordered and shipped to PT. HMMI. Based on data for the January-December 2019 period, the demand for Hino OW 190/200 leaf spring has fluctuated quite significantly. The purpose of this study was to plan and control the production process of Leaf Spring Hino OW 190/200. Forecasting for the next 12 periods is based on demand plots from the previous 12 periods, calculating the Aggregate production plan, determining the Master Production Schedule (MPS), calculating raw material requirements using the Hybrid and Lot for Lot methods. The results showed that to support the smooth production, it can be seen that the production planning for forecasting calculations using the Linear Regression method generates a model Y=319,575+3,723X. Calculation of the need for main raw materials and components in 2020 uses the Hybrid and Lot for Lot method, which is 256,182.88 kg, much smaller than the company's calculations based on 2019 data, namely 259,827.40 kg.


1977 ◽  
Vol 50 (4) ◽  
pp. 835-841 ◽  
Author(s):  
R. W. Smith ◽  
V. L. Folt

Abstract Hevea brasiliensis or natural rubber (NR) has been used for over 500 years. Until World War II, it was the basic raw material of the rubber industry. Since that time, the use of synthetic polymers has steadily increased, but the importance of NR has not diminished. In fact, the future for the natural product is very promising since it is the one polymer that is obtainable without depleting fossil fuel raw materials. Natural rubber latex has been extensively studied by a variety of methods, especially the microscope. All of the early work with NR latex was conducted, of course, with the optical microscope. In the late 1940's the electron microscope began to be used, but at that time synthetic rubbers began to demand attention, and work on NR latex diminished. Perhaps investigators felt they knew all there was to know about the microscopical characteristics of this material. Indeed, some very fine work had been done and keen observations made with optical microscopes that could not even resolve all of the particles in a latex material. This paper deals with the electron microscopy of natural rubber latexes with particular attention to the proteinaceous layer on the particle and the fate of particles during varying stages of mastication. The critical technique used was to stain the proteinaceous layer of the latex particle with silver nitrate.


2016 ◽  
Vol 693 ◽  
pp. 1893-1898 ◽  
Author(s):  
Xue Qi Xu ◽  
Chao Huang ◽  
Hao Lu

Lean Six Sigma (LSS) is an effective methodology that aims to maximize shareholder value by improving quality, efficiency, customer satisfaction and costs. Continuous integration is the software engineering practice of rapid and automated development and testing. A case study presented in this paper demonstrates how LSS tools help software R&D teams to improve product quality and reduce development cost. The define, measure, analyze, improve and control (DMAIC) methodology is applied to develop an action plan to achieve continuous integration at an anonymous software R&D organization's LSS Green Belt project. The LSS implementation has had a significant impact on the financial performance of the organization. It is showed that the package continuous integration (PCI) success ratio (3 months average) increased from 27% to 74%, meanwhile an operational saving of approximately 56.87K Euro was reported from this project. Finally, some key success factors that are critical to the implementation of an effective Green Belt program are examined, and managerial implications are provided.


2010 ◽  
Vol 26-28 ◽  
pp. 289-292
Author(s):  
Yang Hua Cao ◽  
Xiu Cui Kang

The qualified rate of flux test is decided mainly by the assembly parameters, but for some reasons, the qualified rate especially the one-turn qualified rate had been on a low level for a long time. By applying 6σ methodology, this paper analyzed the influence factors about the flux test and found out the main influence factors firstly; then on base of these analysis results, this paper proposed some improvement measures; finally, this paper validated the effects of these improvement measures by carrying out some tests. The improvement measures proposed in this paper had improved the assembly quality of scavenging pump obviously.


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