Bücher von Bhim Singh

Awtor nadeetsq, chto dannaq rabota budet ispol'zowana dlq togo, chtoby prinesti solnechnyj swet w zhizn' obezdolennyh. On takzhe schitaet, chto istinnyj uspeh raboty zaklüchaetsq w ee wnedrenii dlq uluchsheniq sostoqniq zdorow'q millionow lüdej, ezhednewno umiraüschih iz-za otsutstwiq äffektiwnoj medicinskoj pomoschi i nedostupnosti nadlezhaschego lecheniq. Awtor ponimaet, chto w nastoqschee wremq neobhodimo stimulirowat' inwesticii w NIOKR w oblasti lekarstw i farmacewtiki i obespechit' dostupnost' i deshewiznu lekarstwennyh sredstw dlq shirokih sloew naseleniq po äkonomicheski wygodnym cenam. Krome togo, dlq togo chtoby priwlech' lüdej k inwestirowaniü w NIOKR, im dolzhna byt' predostawlena opredelennaq zaschita, chtoby oni mogli wospol'zowat'sq plodami swoih izobretenij i inwesticij, poluchaq denezhnye wygody. Odnako neobhodimo najti balans mezhdu indiwidual'nymi denezhnymi interesami i zaschitoj zdorow'q naseleniq. Fakticheski, prawitel'stwa razwiwaüschihsq stran obqzany najti takoj balans, chtoby sohranit' weru lüdej w ponqtie "gosudarstwo wseobschego blagosostoqniq".

Value Stream Mapping is a simple process of directly observing the flows of information and materials as they now occur summarizing them visually and then envisioning a future state with much better performance. This helps in planning and linking lean initiatives through systematic data capture and analysis. This unique mapping concept helps to visualize the station cycle times, inventory at each stage and information flow across the supply chain. Present study is an attempt to identify and eliminate different types of wastes with the application of value stream mapping in a production industry. Three products (Equalizer beam, Cam shaft and Crank shaft gear) used in railway engine have been selected for study. The current (or ¿as is¿) status is mapped to capture a snapshot of how things are done and where the improvement potentials lie. Future or ¿to be¿ state map is also discussed to show how things should to be done considering takt time requirements. The study revealed that a significant improvement is possible in area of lead-time, station cycle time and work in process inventory.

This book presents the method of crop production statistics at smaller geographical levels like Block or gram panchayat level to make area-specific plans for agricultural development programmes. We proposed a new methodology for estimating crop production at block (micro) level by using multiple regression models at district (macro) level. This book explores small area estimation approach as an alternative for estimation of crop production at block level. This approach uses available district level data from crop cutting experiments and auxiliary information from various administrative sources to obtained reliable estimate of crop production at block level. An empirical study was also carried out to judge the merits of the suggested estimators. The empirical results show that the block level estimates of crop production obtained by use of small area estimation techniques are reasonably good. This approach can be adapted widely to other data sets from different districts and for several crops for generating the production estimate at block level.