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Etat : New. pp. vi + 160 Illus.

Etat : New. pp. vi + 160 Index.

Etat : New. pp. ix + 198 Illus.

Etat : New. pp. ix + 198.

Etat : New. pp. vi + 160.

Etat : New. pp. ix + 310 Illus.

Etat : New. pp. ix + 198.

Etat : New. pp. ix + 310.

Etat : New. pp. ix + 310.

N.A. Etat : New. ISBN:9788184573565.

N.A. Etat : New. ISBN:9788184572506.

N.A. Etat : New. ISBN:9788184571424.

Contents 1 Introduction 2 Objective of the Study 3 Research Methodology 4 Impact of Promotional activities on tourism in New Delhi 5 Data Analysis 6 Literature Review 7 Recommendations for Industry and Tourists 8 Conclusion References AppendixConsumer protection and Tourism Two words which together come and conjure an image of Safe tourism This book would significance the role of consumer tourism Because it can observe that tourism industry has maintained an ambiguous relation with protectionTravel and tour operator used what types of precaution and what types of services offered to their clients How much they are earning from this profession and tourists from which origin are frequently visiting a Delhi The concept of sustainability means that mankind must live within the capacity of the environment that supports Tourism is one of the fastest growing industries in the world today Tourism is presently India?s second largest net foreign exchange earning exporting industry after textile or garment The tourism industry in India is witnessing a whopping 30 percent yearly growth The foreign exchange revenue stands at about 22000 Crore which has been highest for last 10 years India?s travel industry is thriving due to an increase in foreign tourist visiting India as well as the rise in domestic tourist Visitors are pouring in form all parts of the world specially from Europe The trend has changed a lot as compared to few years back Even in summers tourist are coming out to experience the beauty of resorts in Himalayan Mountains range The growth of the tourism sector of India economy at present huge This has become one of the major industrial sectors in the Indian Economy The tourism industry earns the foreign exchange of worth Rs21828 crore annually In the 208 the growth rate of tourism sector of Indian Economy was recorded 173 percentage The growth of tourism industry is due to the rise in the arrival of more and more foreign tourists and the increase in the number of domestic tourists The recent terror attacks on Mumbai 2611 11 September 2001 Bali Bombing Marriott Hotel in Islamabad and the 911 has created a concern over the tourist traveling more however that has been worked as a catalyst for Indian tourism industry With SARS Tsunami Kashmir issues and more recently is Financial turmoil it was believed that the negative trend in on the doorstep however such kind is seen in last couple of months In last few months the global aviation tourists loses 5 billion and in hotels there was already 30 percent cut in room rates after recent Mumbai attack Hoteliers and Industry expects a sharp rise in domestic tourism in coming months almost 95 percent on travel and tourism market dependent on domestic travelers 220 pp.

figs (illustrateur). Contents Preface 1 Introduction to kitchen stewarding 2 Food and beverage equipment 3 Dishwashing 4 Best hygiene practise concept 5 Basic standards 6 Standard operation procedure IndexThe aim of writing this book is to cover the less explored but highly poignant area of hotel industry This book covers the basics as well as the advance kitchen stewarding management knowledge necessary for those involved in hotel industry at different levels It mainly covers the operation of kitchen stewarding department and their standard operation procedure which has been developed with the help of a few kitchen stewarding managers working in different five star hotels in IndiaIt covers all operations equipments and material required by food and beverage department and also covers the hygiene and sanitation according to HACCP and how this department helps in fulfilling the standards of HACCPAs there is no book available on this subject and the inspiration to write this book has come from the hospitality industry itself This book will not fascinate the professional but will be perfectly suited to those who just start their career in hospitality areas jacket 198 pp.

pbk. Contents Volume I Unit I Basic of Cookery 1 Introduction to Hospitality and professional catering 2 Introduction to Professional Cookery 3 Kitchen Commodities 4 Methods of cooking 5 Kitchen organization and management 6 Stock 7 Soups 8 Sauces Unit II Commodities and Farinaceous 9 Eggs 10 Rice 11 What and Corn 12 Pasta Noodles and Other 13 Dairy Products Unit III Meats and Seafood Cookery 14 Meats 15 Lamb and Mutton 16 Poultry and Game 17 Pork 18 Beef and Veal 19 Fish and Sea Food Volume II Unit IV Grade Manager 20 Cold Preparation 21 Hors d? oeuvre and Appetizers 22 Salads 23 Sandwich Unit V International Cuisine 24 Asian Cuisine 25 Chinese Cuisine 26 Indonesian cuisine and Philippines Cuisine 27 Japanese Cuisine 28 European Cuisine 29 Arabic Cuisine 30 Mediterranean Cuisine 31 Mexican cuisine and Spanish cuisine 32 Indian Cuisine Unit VI Bakery 33 Introduction to Bakery 34 Yeast Bread and Dough 35 Pastry Dough 36 Cakes 37 Biscuits and Petitfours 38 Cake icings and fillings Unit VII Kitchen Management 39 Kitchen Designing 40 Menu Planning and Material Management 41 Laws Regarding Food 42 Management standard of Hygiene and storage Bibliography IndexThis book has been designed keeping in mind that there is no such text book on food production available as of now The key note of this book is comprehensive details of each subject Food production is neither dull nor difficult if you study it intelligently Indeed it might be argued in the hotels industry food production ranks higher among the arts Food production is specially designed to meet the requirement of student?s undergraduate post graduate course in food production operation and management This book will also be perfectly suited to those who are already in the industry The inspiration to write this book came from the hospitality industry where I have worked for seven years in a diligent manner This book has all the necessary chapters relating to all different aspects of kitchen training in world cuisineThe book is divide into seven units The first unit of this book contains eight chapters which serve an introduction to hospitality and professional catering Also provide details about raw materials methods of cooking and basic preparationThe second unit of this book contains four chapters which mainly emphasis on commodities and farinaceous This unit provides you detail about egg rice wheat corn and dairy product with their composition and there structure with some standard recipesThe third unit of this book contain six chapters which mainly emphasis on meat and seafood cookery This unit provide you details about their standard cuts with their used With some standard recipesThe fourth unit of this book contain four chapters which mainly emphasis on grade manager section This unit provides you in details about the Hors d?oeuvres salads and sandwich With their composition and types With some standard recipesThe fifth unit of this book contain includes nine chapters which mainly emphasis on International cuisine which includes Chinese Japanese Indonesian Philippines European Arabic Mediterrian Mexican Spanish and India In this unit you recognized there culinary regions with their common Ingredients and there method of cooking with their glossary and with the end of unit you find some regional recipes The sixth unit of this book contain six chapters which mainly emphasis on bakery In this unit you know about the bakery with their ingredients methods of mixing and its preparation With some standard recipesThe seventh unit of this book contains four chapter wwhich mainly emphasis on kitchen management In this unit you learn about how to design a kitchen how to plan a menu detail about material management how to control food cost different law food regarding food and certain management standards of hygiene 842 pp.

Etat : As New. Unread book in perfect condition.

Etat : New.

Etat : As New. Unread book in perfect condition.

Etat : New.

Etat : New. 1st edition NO-PA16APR2015-KAP.

Etat : New. In.

Etat : New.

Etat : New.

Hardcover. Etat : Brand New. 440 pages. 9.18x6.12x9.21 inches. In Stock.

Hardcover. Etat : new. Hardcover. Today, in this smart era, data analytics and artificial intelligence (AI) play an important role in predictive maintenance (PdM) within the manufacturing industry. This innovative approach aims to optimize maintenance strategies by predicting when equipment or machinery is likely to fail so that maintenance can be performed just in time to prevent costly breakdowns. This book contains up-to-date information on predictive maintenance and the latest advancements, trends, and tools required to reduce costs and save time for manufacturers and industries.Data Analytics and Artificial Intelligence for Predictive Maintenance in Smart Manufacturing provides an extensive and in-depth exploration of the intersection of data analytics, artificial intelligence, and predictive maintenance in the manufacturing industry and covers fundamental concepts, advanced techniques, case studies, and practical applications. Using a multidisciplinary approach, this book recognizes that predictive maintenance in manufacturing requires collaboration among engineers, data scientists, and business professionals and includes case studies from various manufacturing sectors showcasing successful applications of predictive maintenance. The real-world examples explain the useful benefits and ROI achieved by organizations. The emphasis is on scalability, making it suitable for both small and large manufacturing operations, and readers will learn how to adapt predictive maintenance strategies to different scales and industries. This book presents resources and references to keep readers updated on the latest advancements, tools, and trends, ensuring continuous learning.Serving as a reference guide, this book focuses on the latest advancements, trends, and tools relevant to predictive maintenance and can also serve as an educational resource for students studying manufacturing, data science, or related fields. Data Analytics and Artificial Intelligence (AI) play an important role in Predictive Maintenance (PdM) within the manufacturing industry. This book contains up-to-date information on predictive maintenance and the latest advancements, trends, and tools required to reduce costs and save time for manufacturers and industries. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Today, in this smart era, data analytics and artificial intelligence (AI) play an important role in predictive maintenance (PdM) within the manufacturing industry. This innovative approach aims to optimize maintenance strategies by predicting when equipment or machinery is likely to fail so that maintenance can be performed just in time to prevent costly breakdowns. This book contains up-to-date information on predictive maintenance and the latest advancements, trends, and tools required to reduce costs and save time for manufacturers and industries.Data Analytics and Artificial Intelligence for Predictive Maintenance in Smart Manufacturing provides an extensive and in-depth exploration of the intersection of data analytics, artificial intelligence, and predictive maintenance in the manufacturing industry and covers fundamental concepts, advanced techniques, case studies, and practical applications. Using a multidisciplinary approach, this book recognizes that predictive maintenance in manufacturing requires collaboration among engineers, data scientists, and business professionals and includes case studies from various manufacturing sectors showcasing successful applications of predictive maintenance. The real-world examples explain the useful benefits and ROI achieved by organizations. The emphasis is on scalability, making it suitable for both small and large manufacturing operations, and readers will learn how to adapt predictive maintenance strategies to different scales and industries. This book presents resources and references to keep readers updated on the latest advancements, tools, and trends, ensuring continuous learning.Serving as a reference guide, this book focuses on the latest advancements, trends, and tools relevant to predictive maintenance and can also serve as an educational resource for students studying manufacturing, data science, or related fields. 420 pp. Englisch.

Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Amit Kumar Tyagi, PhD, is an Assistant Professor at the National Institute of Fashion Technology, New Delhi, India. Previously he was an Assistant Professor (Senior Grade 2) and Senior Researcher at Vellore Institute of Technology (VIT),.

Hardcover. Etat : new. Hardcover. Today, in this smart era, data analytics and artificial intelligence (AI) play an important role in predictive maintenance (PdM) within the manufacturing industry. This innovative approach aims to optimize maintenance strategies by predicting when equipment or machinery is likely to fail so that maintenance can be performed just in time to prevent costly breakdowns. This book contains up-to-date information on predictive maintenance and the latest advancements, trends, and tools required to reduce costs and save time for manufacturers and industries.Data Analytics and Artificial Intelligence for Predictive Maintenance in Smart Manufacturing provides an extensive and in-depth exploration of the intersection of data analytics, artificial intelligence, and predictive maintenance in the manufacturing industry and covers fundamental concepts, advanced techniques, case studies, and practical applications. Using a multidisciplinary approach, this book recognizes that predictive maintenance in manufacturing requires collaboration among engineers, data scientists, and business professionals and includes case studies from various manufacturing sectors showcasing successful applications of predictive maintenance. The real-world examples explain the useful benefits and ROI achieved by organizations. The emphasis is on scalability, making it suitable for both small and large manufacturing operations, and readers will learn how to adapt predictive maintenance strategies to different scales and industries. This book presents resources and references to keep readers updated on the latest advancements, tools, and trends, ensuring continuous learning.Serving as a reference guide, this book focuses on the latest advancements, trends, and tools relevant to predictive maintenance and can also serve as an educational resource for students studying manufacturing, data science, or related fields. Data Analytics and Artificial Intelligence (AI) play an important role in Predictive Maintenance (PdM) within the manufacturing industry. This book contains up-to-date information on predictive maintenance and the latest advancements, trends, and tools required to reduce costs and save time for manufacturers and industries. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Buch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Today, in this smart era, data analytics and artificial intelligence (AI) play an important role in predictive maintenance (PdM) within the manufacturing industry. This innovative approach aims to optimize maintenance strategies by predicting when equipment or machinery is likely to fail so that maintenance can be performed just in time to prevent costly breakdowns. This book contains up-to-date information on predictive maintenance and the latest advancements, trends, and tools required to reduce costs and save time for manufacturers and industries.Data Analytics and Artificial Intelligence for Predictive Maintenance in Smart Manufacturing provides an extensive and in-depth exploration of the intersection of data analytics, artificial intelligence, and predictive maintenance in the manufacturing industry and covers fundamental concepts, advanced techniques, case studies, and practical applications. Using a multidisciplinary approach, this book recognizes that predictive maintenance in manufacturing requires collaboration among engineers, data scientists, and business professionals and includes case studies from various manufacturing sectors showcasing successful applications of predictive maintenance. The real-world examples explain the useful benefits and ROI achieved by organizations. The emphasis is on scalability, making it suitable for both small and large manufacturing operations, and readers will learn how to adapt predictive maintenance strategies to different scales and industries. This book presents resources and references to keep readers updated on the latest advancements, tools, and trends, ensuring continuous learning.Serving as a reference guide, this book focuses on the latest advancements, trends, and tools relevant to predictive maintenance and can also serve as an educational resource for students studying manufacturing, data science, or related fields.

Hardcover. Etat : new. Hardcover. Today, in this smart era, data analytics and artificial intelligence (AI) play an important role in predictive maintenance (PdM) within the manufacturing industry. This innovative approach aims to optimize maintenance strategies by predicting when equipment or machinery is likely to fail so that maintenance can be performed just in time to prevent costly breakdowns. This book contains up-to-date information on predictive maintenance and the latest advancements, trends, and tools required to reduce costs and save time for manufacturers and industries.Data Analytics and Artificial Intelligence for Predictive Maintenance in Smart Manufacturing provides an extensive and in-depth exploration of the intersection of data analytics, artificial intelligence, and predictive maintenance in the manufacturing industry and covers fundamental concepts, advanced techniques, case studies, and practical applications. Using a multidisciplinary approach, this book recognizes that predictive maintenance in manufacturing requires collaboration among engineers, data scientists, and business professionals and includes case studies from various manufacturing sectors showcasing successful applications of predictive maintenance. The real-world examples explain the useful benefits and ROI achieved by organizations. The emphasis is on scalability, making it suitable for both small and large manufacturing operations, and readers will learn how to adapt predictive maintenance strategies to different scales and industries. This book presents resources and references to keep readers updated on the latest advancements, tools, and trends, ensuring continuous learning.Serving as a reference guide, this book focuses on the latest advancements, trends, and tools relevant to predictive maintenance and can also serve as an educational resource for students studying manufacturing, data science, or related fields. Data Analytics and Artificial Intelligence (AI) play an important role in Predictive Maintenance (PdM) within the manufacturing industry. This book contains up-to-date information on predictive maintenance and the latest advancements, trends, and tools required to reduce costs and save time for manufacturers and industries. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.