scholarly journals Ensuring Sustainability of a Mobile Legacy Network by Improving Network KPIs using Six Sigma DMAIC Framework with AHP based Analysis

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.

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.


2017 ◽  
Vol 13 (02) ◽  
pp. 4 ◽  
Author(s):  
Adnan Al-Bashir ◽  
Akram Al-Tawarah ◽  
Abdul Kareem Abdul Jawwad

Medical equipment needs to be managed effectively and carefully from the first step of buying the equipment till being scraped. This includes purchasing procedure, operational procedures and he maintenance policies used in this regards. Managing the maintenance of medical equipment is vital for the patient and for the hospital itself. One of the main problems in healthcare sector today is the availability of medical equipment, which is largely affected by downtime variation needed to repair the medical equipment. This study presents a process improvement study applied on the Downtime of the medical equipments during the maintenance work in the Jordanian of Health Hospitals, based on customized Six Sigma methodology- DMAIC- (Define, Measure, Analyze, Improve and Control). Data was collected from different locations and different equipments to study the problem and make the necessary actions to resolve or reduce downtime. Obtained results indicate that the downtime reduced by 35% by introducing a new procedure to the clinical engineer to used when dealing with any medical equipment for maintenance work.


2019 ◽  
Vol 16 (4) ◽  
pp. 594-624 ◽  
Author(s):  
Narottam Yadav ◽  
Kaliyan Mathiyazhagan ◽  
Krishna Kumar

PurposeThe purpose of this paper is to improve the yield of a particular model of a car windshield, as the organization faces losses due to poor performance and rejection.Design/methodology/approachThe Six Sigma DMAIC (define, measure, analyze, improve and control) methodology is used to reduce variation and defects in the process. It is a methodology based on data-driven and fact-based analysis to find out the root cause of the problem with the help of statistical analysis. A worst performing model is selected as a case study through the scoping tree. The preprocess, printing, bending and layup process defects are reduced by analyzing the potential causes and hypothesis testing.FindingsThis paper describes Six Sigma methodology in a glass manufacturing industry in India for automotive applications. The overall yield of a car windshield achieved 93.57 percent against the historical yield of 88.4 percent, resulting in saving 50 lacs per annum. Due to no rework or repairing in the glass, low first-time yield causes major losses. Process improvement through focused cross-functional team reduces variation in the process. Six Sigma improves profitability and reduces defects in the automotive glass manufacturing process.Research limitations/implicationsThis case study is applied in automotive glass manufacturing industries. For service and healthcare industries, a similar type of study can be performed. Further research on the common type of processor industry would be valuable.Practical implicationsThe case study can be used as a problem-solving methodology in manufacturing and service industries. The tools and techniques can be used in other manufacturing processes also. This paper is useful for industries, researchers and academics for understanding Six Sigma methodology and its practical implementation.Originality/valueThis case study is an attempt to solve automobile glass manufacturing problems through DMAIC approach. The paper is a real case study showing benefits of Six Sigma implementation in the manufacturing industry and saving an annual cost of 50 lacs due to rejections in the process.


2019 ◽  
Vol 70 (2) ◽  
pp. 193-202
Author(s):  
Ľubica Simanová ◽  
Andrea Sujová ◽  
Pavol Gejdoš

The main aim of this paper is to illustrate the application of selected methods and procedures in the implementation of the Six Sigma Methodology in the furniture manufacturing processes, specifically in the wood veneer pressing, to verify the application and to evaluate the benefits of using selected methods and procedures through a series of step DMAIC process improvement. The application of selected methods and tools within the Six Sigma Methodology, such as DPMO, efficiency and sigma levels, project charter, histogram of mistakes caused by the application of the adhesive, the SIPOC plot mapping process, reaction plans, Ishikawa diagram and control diagrams bring the system and clarity of measurable results into project management for process improvement and process change. The benefits of their use are the cost savings and performance improvement processes.


2021 ◽  
Vol 156 (Supplement_1) ◽  
pp. S111-S112
Author(s):  
Y Wang ◽  
A Loboda ◽  
M Chitsaz ◽  
S Ganesan

Abstract Introduction/Objective DMAIC (an acronym for Define, Measure, Analyze, Improve and Control) refers to a data- driven improvement cycle used for improving, optimizing, and stabilizing business processes and designs. Our goal was to utilize DMAIC principle of six sigma quality to improve histology slide quality. Methods/Case Report We “defined” the problem as suboptimal quality in endometrial biopsy slides (defects). Utilizing the DMAIC principle and adhering to a strict timeline, the defects found during baseline slide quality review were “measured” by linking the defects to specific histology competencies, which were addressed systematically for process improvement (PI). After PI, a follow up review (“improve” and “control” phases) was carried out to identify measurable outcomes as a testament to quality. Results (if a Case Study enter NA) During the problem “measurement” phase, the defects found in the baseline review of 175 slides were linked to four specific histology competencies (fixation, embedding, cutting, and staining). Processing was excluded as it is completely automated and standardized. Our analysis showed that 83.3 % of defects were linked to embedding (“tissue too dispersed”). As embedding competency depends on the size and nature of the tissue (e.g. mucus and blood admixed with tissue), grossing competency was also addressed along with embedding at the respective workstations. Recommendations were offered to the grosser, embedder, and cutter to reduce variables during the “improvement” phase. Follow up review was done on 196 slides. The number of defective slides decreased and the defects that linked to “tissue too dispersed” had an overall improvement of 91.3%. Once the PI is proven to be effective, in service to histotechnology personnel biannually were also offered during “control” phase. Conclusion We have demonstrated successful methods for improving histology slide quality utilizing DMAIC principle of quality improvement by six sigma methodology DMAIC principle can be creatively adapted in laboratory practice management to enhance quality.


Author(s):  
Verónica Petra Hernández-Pastrana ◽  
Juan Carlos Kido-Miranda ◽  
Pascual Felipe Pérez-Cabrera ◽  
Norma Rodríguez-Bucio

In the defining phase of the Lean Six Sigma Methodology, opportunities for improvement must be identified, determined and interpreted the client’s voice to define the objectives with the work team that applies the tools, skills and knowledge so that the company is productive and competitive. This recent work shows how to obtain an objective that is specific, realistic, measurable and on time, being the key to a successful execution of improvement, the KPi that was worked was the percentage of bags with defect in the first section of a Manufacturer, identifying the average of defective bags, specifying to lower said average by 90% to be significant and quantifiable, so that the company can continue with the Measure, Analyze, Improve and Control phases, two of the critical operations identified with the parameters of quality required by the client as well as the calculation of the Takt Time of the process of the first section of the Manufacturer in order to observe the bottlenecks in the different operations that make up the area.


Data & Policy ◽  
2021 ◽  
Vol 3 ◽  
Author(s):  
Ronald Jansen ◽  
Karoly Kovacs ◽  
Siim Esko ◽  
Erki Saluveer ◽  
Kaja Sõstra ◽  
...  

Abstract The COVID-19 pandemic has accelerated the use of mobile operator data to support public policy, although without a universal governance framework for its application. This article describes five principles to guide and assist statistical agencies, mobile network operators and intermediary service providers, who are actively working on projects using mobile operator data to support governments in monitoring the effectiveness of its COVID-19 related interventions. These are principles of necessity and proportionality, of professional independence, of privacy protection, of commitment to quality, and of international comparability. Compliance with each of these principles can help maintain public trust in the handling of these sensitive data and their results, and therefore keep citizen support for government policies. Three projects (in Estonia, Ghana, and the Gambia) were described and reviewed with respect to the compliance and applicability of the five principles. Most attention was placed on privacy protection, somewhat at the expense of the quality of the compiled indicators. The necessity and proportionality in the choice of mobile operator data can be very well justified given the need for timely, frequent and granular indicators. Explicitly addressing the five principles in the preparation of a project should give confidence to the statistical agency and its partners, that enough care has been exercised in the set up and implementation of the project, and should convey trust to public and government in the use mobile operator data for policy purposes.


2018 ◽  
Vol 23 (1) ◽  
pp. 42-50 ◽  
Author(s):  
Lee Steere ◽  
Marc Rousseau ◽  
Lisa Durland

Abstract Background: Continual improvement is a necessary part of hospital culture. This occurs by identifying opportunities for improvement that influence efficiency while saving money. Methodology: An investigation of intravenous device-related practices was performed by the nurses of the intravenous access team, pharmacy, and hospital operations at Hartford Hospital using Lean Six Sigma methodology. Central venous access device occlusion and tissue plasminogen activator variability was identified. Using observation, measurement of performance, and root cause analysis, the hospital's practices, policies, and equipment were evaluated for the process of occlusion management. The team utilized a Six Sigma strategy employing the elements define, measure, analyze, improve, and control, which is a disciplined, data-driven methodology that focuses on eliminating defects (waste). Interventions initiated based on the assessment performed by the team using the define, measure, analyze, improve, and control approach included replacement of negative displacement needleless connectors with antireflux needleless connectors and specialty team assessment before tissue plasminogen activator use. Results: Over the course of the 26-month study, Hartford Hospital experienced a 69% total reduction in tissue plasminogen activator use representing a total 26-month savings of $107,315. Other cost savings were reflected in areas of flushing, flushing disposables, and in a decrease in needleless connector consumption. Central line-associated bloodstream rates fell 36% following the intervention as an unexpected secondary gain, resulting in further savings related to treating this nonreimbursable hospital-acquired condition. Conclusions: This study examined the influence of using Lean Thinking and Six Sigma methodology as a tool in saving hospital money, resulting in better patient outcomes.


Author(s):  
Ling-Feng Zhu ◽  
Wei-Yang Qian ◽  
Gang Zhou ◽  
Min Yang ◽  
Jing-Jing Lin ◽  
...  

Unplanned surgery cancellation (USC) was an important quality management issue in the course of medical care for surgical patients, which caused inappropriate use of hospital resources and had negative impacts on quality and safety. This study used Lean Six Sigma to reduce the incidence of USC. Following the Lean Six Sigma DMAIC (Define, Measure, Analyze, Improve, and Control) process, the main factors influencing the USC were identified, such as the time of informing patient admission, the time of submitting operation notice, and the management of test report follow-up. A series of measures were implemented including improving the health education content of virtual bed patients, standardizing the way of communication between the Admission Management Center and the patients, improving the timing of anesthesia evaluation, optimizing the process of operation notice with an information system, and implementing the regulations of virtual bed management. The incidence of USC reduced from 10.21% in Jan. 2016 to 3.8% in Dec. 2016, and the Z-score increased from 1.25 to 1.68, which improved patient safety and demonstrated that Lean Six Sigma was an effective method to solve cross-department issues in hospital.


2015 ◽  
Vol 809-810 ◽  
pp. 1287-1292
Author(s):  
Marius Bulgaru ◽  
Lucian Fulea ◽  
Marian Borzan ◽  
Vlad Bocăneț ◽  
Silviu Ilas

The current paper describes the application of the Six Sigma methodology for reducing the number of scrapped parts on the manufacturing line at Start Transmission Comp. The paper shows how the five steps of the method, namely Definition, Measurement and Analysis, Improvement and Control, are applied, as well as the methods and quality tools used.


Sign in / Sign up

Export Citation Format

Share Document