Total quality management and quality engineering
Md. Limonur Rahman Lingkon; Pronab Krishna Saha; Abdulla Al Manzid; Md. Nazmul Hasan; Showra Kishore Mahalanobish
Abstract
The purpose of this study is to determine how Bangladeshi garment industry’s sewing defect reduction and productivity enhancement are affected by the PDCA (Plan, Do, Check, Act) and 5S (Sort, Set in order, Shine, Standardize, Sustain) techniques. One of the main reasons for production delays and ...
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The purpose of this study is to determine how Bangladeshi garment industry’s sewing defect reduction and productivity enhancement are affected by the PDCA (Plan, Do, Check, Act) and 5S (Sort, Set in order, Shine, Standardize, Sustain) techniques. One of the main reasons for production delays and increased costs are sewing defects. By reducing defects, improving Overall Equipment Efficiency (OEE) and methodically using integrated PDCA concepts, the study aims to streamline and expand the production flowline while also increasing throughput. To continuously evaluate and improve the sewing process, the 5S method is also employed. For the proper identification of the defect some tools like cause effect diagram, pareto chart was used. The OEE was used to evaluate the actual efficiency of it. Basically, the integration of 5S and PDCA as Lean Methodology was utilized to minimise the rate of defect and maximize the quality to improve the efficiency as well. For this purpose, data was collected from some renowned factory of Bangladesh. This mixed-integrated methodology is used in the study to integrate quantitative defect analysis with worker satisfaction along with efficiency surveys. The findings ought to offer valuable insights to the RMG industry in Bangladesh, as producers seek sustainable methods to increase productivity and enhance product quality while mitigating the impact of sewing errors on their overall production procedures. OEE was increased by almost 3-4% through this research.
Mathematical modelling
Eshetu Dadi Gurmu; Boka Kumsa Bole; Purnachandra Rao Koya
Abstract
In this paper, optimal control theory is applied to Human Papillomavirus (HPV) and Human immunodeficiency viruses (HIV) coinfection model given by using a system of ordinary differential equations. Optimal control strategy was employed to study the effect of combining various intervention strategies ...
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In this paper, optimal control theory is applied to Human Papillomavirus (HPV) and Human immunodeficiency viruses (HIV) coinfection model given by using a system of ordinary differential equations. Optimal control strategy was employed to study the effect of combining various intervention strategies on the transmission dynamics of HPV-HIV coinfection diseases. The necessary conditions for the existence of the optimal controls were established using Pontryagin’s Maximum Principle. Optimal control system was performed with help of Runge-Kutta forward-backward sweep numerical approximation method. Finally, numerical simulation illustrated that a combination of prevention, screening and treatment is the most effective strategy to minimize the disease from the community.
E. Teymournejad; M.J. Tarokh
Volume 1, Issue 3 , December 2012, , Pages 48-59
Abstract
Telecommunications play an important role in providing services for citizen and through this study is been trying to use modeling and simulation system for Communications Center (solving failure process) also solving problem, speed of solving the failure, followed by optimization system and offers a ...
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Telecommunications play an important role in providing services for citizen and through this study is been trying to use modeling and simulation system for Communications Center (solving failure process) also solving problem, speed of solving the failure, followed by optimization system and offers a model for managers . Based on this role the manager can use the model that presented above for identifying different strategies then applying best practice for satisfying citizens (citizen relationship management (CIRM). For example, before the occurrence of a repeated failure can identify risky areas and detect them. If we assumed, service provider are as customers that used government services, the managers can evaluate productivity of service providers and choose the right reward system or the decision for using more service providers. No technical managers can use this model Because of its simple structure. The above system has been simulated with the Arena software and because the system simulation credit on random numbers we have used the data registered in the system for probability distribution function.
