The Impact of Correlated Demands on Integrated Safety Stock Optimization in Multi-Stage Manufacturing Systems

Author(s):  
Karl Inderfurth
2011 ◽  
Vol 697-698 ◽  
pp. 701-705
Author(s):  
D.D. Ji ◽  
Y.M. Song ◽  
J. Zhang

A lumped-parameter dynamic model for gear train set in wind turbine is proposed to investigate the dynamics of the speed-increasing gear box. The proposed model is developed in a universal Cartesian coordinate, which includes transversal and torsional deflections of each component, time-varying mesh stiffness, gear profile errors and external excitations. By solving the dynamic model, a modal analysis is performed. The results indicate that the modal properties of the multi-stage gear train in wind turbine are similar to those of a single-stage planetary gear set. A harmonic balance method (HBM) is used to obtain the dynamic responses of the gearing system. The responses give insight into the impact of excitations on the vibrations.


2021 ◽  
Vol 10 (16) ◽  
pp. 3554
Author(s):  
Dionysios J. Papachristou ◽  
Stavros Georgopoulos ◽  
Peter V. Giannoudis ◽  
Elias Panagiotopoulos

Fracture-healing is a complex multi-stage process that usually progresses flawlessly, resulting in restoration of bone architecture and function. Regrettably, however, a considerable number of fractures fail to heal, resulting in delayed unions or non-unions. This may significantly impact several aspects of a patient’s life. Not surprisingly, in the past few years, a substantial amount of research and number of clinical studies have been designed, aiming at shedding light into the cellular and molecular mechanisms that regulate fracture-healing. Herein, we present the current knowledge on the pathobiology of the fracture-healing process. In addition, the role of skeletal cells and the impact of marrow adipose tissue on bone repair is discussed. Unveiling the pathogenetic mechanisms that govern the fracture-healing process may lead to the development of novel, smarter, and more effective therapeutic strategies for the treatment of fractures, especially of those with large bone defects.


2016 ◽  
pp. 303-324 ◽  
Author(s):  
Vladimir Cvetkovic

The consequences of the floods that had affected the area of Serbia in 2014 indicated a very low level of preparedness of population to respond to natural disasters. Therefore, the aim of quantitative research is to examine the impact of fear on the willingness of citizens to respond to a natural disaster caused by the flood in the Republic of Serbia. Bearing in mind all local communities in Serbia where floods occurred or there is a high risk of flooding, there was selected a random sample consisting of 19 out of 150 municipalities and 23 towns and the city of Belgrade. In the selected communities, a research was undertaken in those areas that had been most affected in relation to the amount of water or potential risk of flooding. The survey used strategy of testing in households with the use of a multi- stage random sample. The research results indicate that the citizens who have a fear of floods are familiar with safety procedures to a greater extent in relation to citizens who do not have the fear; they have taken the preventive measures; they point out that they still are not ready to respond, but plan to do so in the next 6 months; they would evacuate to the upper floor of the house; they point out that someone in the family has educated them about the flood. In contrast to that, citizens who do not have the fear are not doing anything to prepare themselves to react in such situations, they are confident in their own abilities to cope with the consequences of floods, etc. The originality of the research lies in the fact that in Serbia there has never been conducted a research to examine the state of preparedness of citizens to respond. Bearing in mind that the research is based on the territory of Serbia, conclusions can be generalized to the entire population. The research results can be used when creating a strategy for improving the level of preparedness of citizens to respond.


Author(s):  
Abdul Salam Khan ◽  
Khawer Naeem ◽  
Raza Ullah Khan

An abrupt change requires a robust and flexible response from a manufacturing system. Dedicated Manufacturing System (DMS) has been a long practiced taxonomy for mass production and minimum varieties. In contrast, Flexible Manufacturing System (FMS) has been introduced for responding to quantity as well as variety issues. This study considers both production taxonomics by using a multi objective model of cost and time. An Integer Linear Programming (ILP) formulation is presented and subsequently validated. The analysis procedure is administered in two phases. In the first phase, comparison of production cost and process time in DMS and FMS is presented. The model is implemented by using an exact solution approach and results show that FMS is a viable option, compared to DMS, according to the criteria of cost, time, and productivity. In the second phase, sensitivity analysis is performed by using several FMS (n) and the impact of cells selection on the performance of system is studied. It is concluded that n=1 (single cell-based FMS) is more relevant for cost minimization; however, n = 6 is a suitable candidate for producing more quantity in given time horizon (process time minimization). Lastly, key findings are reported, and future research avenues are provided.


Author(s):  
Godwin Aondohemba Timiun ◽  
Timothy J. Scrase

In spite the identification of stigma as a factor impeding public utilisation of HIV counselling, testing, and treatment services in Nigeria, gaps still exist in knowledge on the impact of stigma, and discrimination on adherence to medication amongst people living with HIV (PLWH). This study adopted mixed methods to examine the impact of stigma and discrimination on adherence to medication amongst PLWH in Nigeria.  A sample of 1,621 respondents was collected using multi-stage and purposive sampling methods. Structured interviews using questionnaires and in-depth interviews (using a guide) were utilised for data collection. SPSS (version 21) was used for quantitative data analysis while the qualitative data was analysed thematically. There are 46.3% men and 53.7% women respondents. Generally, their income is low, 70.7% are earning less than N25, 000 (approximately $125 USD) per month. Some of the HIV patients are stigmatised. In reaction, they avoid public places, travel long distances away from their immediate community to collect drugs and to avoid been noticed around the centers. They sometimes miss taking drugs regularly as prescribed, suffer depression and die. Stigma and discrimination impede adherence to medication amongst PLHW in Nigeria. More efforts should be made to create awareness to reduce stigma and discrimination of HIV patients, while augmenting their income to meet up with the challenges of adherence to medication. The overall benefits would be enhanced mechanism of HIV prevention, treatment and control in the study area.


2019 ◽  
Author(s):  
Thomas Delouche ◽  
Antoine Vacher ◽  
Elsa Caytan ◽  
Thierry Roisnel ◽  
Boris Le Guennic ◽  
...  

In this communication, we report the straightforward<br>synthesis of unprecedented electron-acceptors based on dicationic P-containing PAHs (Polycyclic Aromatic Hydrocarbons) where two phosphoniums are connected through various PAHs backbones. The impact of pi-extension on both the optical and redox properties is investigated using a joint experimental/theoretical approach.<br>Finally, (spectro)-electrochemical studies prove that these<br>compounds possess three redox states and EPR studies confirms the in situ formation of an organic radical.


2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Ming Ma ◽  
Sophie Rosenberg ◽  
Alexander M. Kaizer

Abstract Objective While it is known that nonresponse might produce biased results and impair the precision of results in survey research studies, the pattern of the impact on the precision of estimates due to the nonresponse in different survey stages is historically overlooked. Having this type of information is essential when creating recruitment plans. This study proposes to examine and compare the effect of nonresponse in different stages on the precision of prevalence estimates in multi-stage survey studies. Based on data from a state level survey, a simulation approach was used to generate datasets with different nonresponse rates in three stages. The margin of error was then compared between the datasets with nonresponse at three different survey stages for 12 outcomes. Results At the same nonresponse rate, the mean margin of error was greater for the data with nonresponse at higher stages. Additionally, as the nonresponse rate increased, precision was more inflated within the data with higher stage nonresponse. This suggests that the effort used to recruit the primary sampling units is more crucial to improve the precision of estimates in multi-stage survey studies.


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