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派博传思国际中心 »期刊书目

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Titlebook: Supply Chain Strategies, Issues and Models; Usha Ramanathan,Ramakrishnan Ramanathan Book 2014 Springer-Verlag London 2014 Accurate Respons

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发表于 2025-3-21 17:30:06 | 显示全部楼层 |阅读模式
书目名称Supply Chain Strategies, Issues and Models
编辑Usha Ramanathan,Ramakrishnan Ramanathan
视频video
概述Includes examples from actual industrial cases.Reflects the issues in the current competitive supply chains.Addresses possible solutions using established theories and models
图书封面Titlebook: Supply Chain Strategies, Issues and Models; Usha Ramanathan,Ramakrishnan Ramanathan Book 2014 Springer-Verlag London 2014 Accurate Respons
描述.In the 21st century, supply chain operations and relationships among supply chain partners have become highly challenging, necessitating new approaches, e.g., the development of new models. .Supply Chain Strategies, Issues and Models .discusses supply chain issues and models with examples from actual industrial cases. Expert authors with a wide spectrum of knowledge working in various areas of supply chain management from various geographical locations offer refreshing, novel and insightful ideas and address possible solutions using established theories and models. .Supply Chain Strategies, Issues and Models. features studies that have used mathematical modeling, statistical analyses and also descriptive qualitative studies. The chapters cover many relevant themes related to supply chains and logistics including supply chain complexity, information sharing, quality (six sigma), electronic Kanbans, inventory models, scheduling, purchasing and contracts. To facilitate easy reading, the chapters that deal with supply chain related issues are first, followed by studies on inventory, scheduling, purchasing and logistics. .This book can be used as a useful resource of supply chain manag
出版日期Book 2014
关键词Accurate Response; Collaborative Planning Forecasting and Replenishment; Just in Time; Lean and Agile P
版次1
doihttps://doi.org/10.1007/978-1-4471-5352-8
isbn_softcover978-1-4471-7209-3
isbn_ebook978-1-4471-5352-8
copyrightSpringer-Verlag London 2014
The information of publication is updating

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S. Kalpakam,C. Rajendran,S. Saha and sample cleanup on an array surface. In the growing field of proteomics, SELDI technology has been widely used for biomarker discovery and characterization in diverse applications including diagnostics, drug development, and basic research. SELDI-based biomarker studies can typically be divided
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Alireza Shokri and sample cleanup on an array surface. In the growing field of proteomics, SELDI technology has been widely used for biomarker discovery and characterization in diverse applications including diagnostics, drug development, and basic research. SELDI-based biomarker studies can typically be divided
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Grant MacKerron,Maneesh Kumar,Vikas Kumaration advice from the experts.Includes supplementary materia.SELDI is distinct from other TOF-MS technologies in that it couples features of chromatography and mass spectrometry, facilitating analyte enrichment and sample cleanup on an array surface. In the growing field of proteomics, SELDI technol
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P. V. Rajendra Sethupathi,Chandrasekharan Rajendran,Hans Ziegler and sample cleanup on an array surface. In the growing field of proteomics, SELDI technology has been widely used for biomarker discovery and characterization in diverse applications including diagnostics, drug development, and basic research. SELDI-based biomarker studies can typically be divided
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M. Mathirajan,Ravindra Gokhale,M. Ramasubramaniamation advice from the experts.Includes supplementary materia.SELDI is distinct from other TOF-MS technologies in that it couples features of chromatography and mass spectrometry, facilitating analyte enrichment and sample cleanup on an array surface. In the growing field of proteomics, SELDI technol
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U. Dinesh Kumar and sample cleanup on an array surface. In the growing field of proteomics, SELDI technology has been widely used for biomarker discovery and characterization in diverse applications including diagnostics, drug development, and basic research. SELDI-based biomarker studies can typically be divided
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