Sanjay sethi (94 résultats)

Etat : New. pp. xii + 144.

Etat : New. pp. xii + 144.

Etat : New. pp. xii + 144.

Soft cover. Etat : New. 1st Edition. Contents: I. Introduction to operations research and capital procurement. 2. Best value options through source selection. 3. Best value interpretations-India. 4. Best value interpretations around the globe. 5. Maximising LPTA. 6. QCBS-options and challenges. 7. Cost performance trade-off. 8. Analytic hierarchy process. 9. Application of technique for order of preference by similarity to ideal solution and simple additive weightage. 10. Recommendations. Appendices. In the last two decades, the Indian capital defence procurement systems have not only undergone systematic codification, but have also been through an incremental process of continuous improvement. Each new version of the Defence Procurement Procedure (DPP) has endeavoured to bring in process efficiencies, and has attempted to solve functional problems posed by its predecessor. However, neither has the procedure lost its 'one size fits all character', nor has it seen induction of any of the international best practices. Above all, it is completely devoid of Operations Research methods or quantitative tools. The capital procurement procedure has not seen any dramatic change in its approach to procurement, and consequently its yield has remained more or less static. The writers of the DPP argue that the procedure addresses many concerns that include the need for faster and expeditious procurement, reducing dependence on imports, development of indigenous defence industry and, above all, avoidance of corruption. These concerns are real and undoubtedly deserve attention. However, the attention that these issues have attracted in the recent past has overshadowed and obscured, to a great degree, two of the fundamental requirements which the DPP should address-satisfaction of the end customer-soldier in the field, and ensuring that the most apt procurement processes and techniques are exploited to develop defence capability. The DPP has serious limitations when it comes to delivery of best value. Over the years, not much has been done to address this concern. The fact that the procedure relies on just a single source selection methodology, wherein price plays a dominant role, is ample proof of its limitations at delivering best value. The book offers alternative methods for source selection, with a view to ensure delivery of best value to the end customer, in all acquisition cases. It suggests Operations Research tools which can make a significant difference to our source selection processes. The author has studied the public and defence procurement regulations of the United States, the European Union, the United Kingdom, Australia, and the United Nation, and has also included in this work many of the international best practices which can be absorbed by the Indian defence procurement system. …

Hardcover. Etat : New. ISBN:9780197626931,264pp.

Soft cover. Etat : New. ISBN:9780197626931,Territorial restriction maybe printed on the book. This is an Int'l edition, ISBN and cover may differ from US edition, Contents same as US edition.

Paperback. Etat : New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.…

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Paperback. Etat : Brand New. 132 pages. 8.66x5.91x0.30 inches. In Stock.

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Etat : New. pp. 360.

Etat : New. In English.

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Etat : New. pp. 360.

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Paperback. Etat : Brand New. reprint edition. 337 pages. 9.00x6.00x0.75 inches. In Stock.

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Paperback. Etat : new. Paperback. This book features best selected research papers presented at the Fourth International Conference on Machine Learning, Internet of Things and Big Data (ICMIB 2024) held at GIET University, Gunupur, India, during 810 April 2024. It comprises high-quality research work by academicians and industrial experts in the field of machine learning, mobile computing, natural language processing, fuzzy computing, green computing, humancomputer interaction, information retrieval, intelligent control, data mining and knowledge discovery, evolutionary computing, IoT and applications in smart environments, smart health, smart city, wireless networks, big data, cloud computing, business intelligence, Internet security, pattern recognition, predictive analytics applications in health care, sensor networks and social sensing, and statistical analysis of search techniques. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…