This reference text resolves problems of physical products, information, and financial transactions by using mathematical and statistical tools to provide robust and validated solutions to real-world problems of the supply chain. It further discusses important concepts such as supply chain segmentation, constrained and unconstrained optimization, time series analysis, double exponential smoothing, and demand probability distributions.
This book:
It is primarily written for senior undergraduate, graduate students, and academic researchers in the fields of manufacturing engineering, industrial engineering, supply chain management, mechanical engineering, and production engineering.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Vikas Singla is an associate professor at the department of Management Studies of Punjabi University Patiala, Punjab since 2006. He has studied his bachelor's in mechanical engineering from Thapar Institute of Engineering and Technology and pursued his MBA & PhD from Punjabi University. During the course of his profession, he has been involved in publications in the field of Lean manufacturing and branding. He has also published papers and two books in areas of Operations Research and Supply Chain Analytics. Dr Singla has also coordinated and developed content for Operations Management under National Mission on Education through ICT (NME-ICT), Ministry of Human Resource Development (MHRD). He has also partnered with industries like Polyplast India Ltd. and Federal Mogul, Bahadurgarh for problem solving related with operations by extensive application of Quantitative Techniques.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Hardcover. Etat : new. Hardcover. This reference text resolves problems of physical products, information, and financial transactions by using mathematical and statistical tools to provide robust and validated solutions to real-world problems of the supply chain. It further discusses important concepts such as supply chain segmentation, constrained and unconstrained optimization, time series analysis, double exponential smoothing, and demand probability distributions.This book:Discusses inventory replenishment models including economic order quantity (EOQ), and economic production quantity (EPQ).Explains different mathematical and analytical models applied frequently depending on the supply chain problem. Covers important topics such as linear, integer, and mixed integer programming. Demonstrates how the variation in demand with time follows certain patterns which can be seasonal, cyclical, trend, and random. Highlights forecasting methods, namely, cumulative, naive, moving averages, and exponential smoothing.It is primarily written for senior undergraduate, graduate students, and academic researchers in the fields of manufacturing engineering, industrial engineering, supply chain management, mechanical engineering, and production engineering. This book resolves problems of physical products, information, and financial transactions by using mathematical and statistical tools to provide robust and validated solutions to real-world problems of the supply chain. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781032603148
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Hardcover. Etat : new. Hardcover. This reference text resolves problems of physical products, information, and financial transactions by using mathematical and statistical tools to provide robust and validated solutions to real-world problems of the supply chain. It further discusses important concepts such as supply chain segmentation, constrained and unconstrained optimization, time series analysis, double exponential smoothing, and demand probability distributions.This book:Discusses inventory replenishment models including economic order quantity (EOQ), and economic production quantity (EPQ).Explains different mathematical and analytical models applied frequently depending on the supply chain problem. Covers important topics such as linear, integer, and mixed integer programming. Demonstrates how the variation in demand with time follows certain patterns which can be seasonal, cyclical, trend, and random. Highlights forecasting methods, namely, cumulative, naive, moving averages, and exponential smoothing.It is primarily written for senior undergraduate, graduate students, and academic researchers in the fields of manufacturing engineering, industrial engineering, supply chain management, mechanical engineering, and production engineering. This book resolves problems of physical products, information, and financial transactions by using mathematical and statistical tools to provide robust and validated solutions to real-world problems of the supply chain. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9781032603148
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