Applications of Emerging Technologies and Ai/ML Algorithms: International Conference on Data Analytics in Public Procurement and Supply Chain (Icdaps2

Tiwari, Manoj Kumar, Kumar, Madhu Ranjan, T. M., Rofin

Applications of Emerging Technologies and Ai/ML Algorithms: International Conference on Data Analytics in Public Procurement and Supply Chain (Icdaps2
  • 出版商: Springer
  • 出版日期: 2024-07-20
  • 售價: $6,950
  • 貴賓價: 9.5 折 $6,603
  • 語言: 英文
  • 頁數: 408
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 9819910218
  • ISBN-13: 9789819910212
  • 相關分類: Algorithms-data-structures、Data Science

    • 海外代購書籍(需單獨結帳)

商品描述


This book provides practical insights into applications of the state-of-the-art of Machine Learning and Artificial Intelligence (AI) for solving intriguing and complex problems in procurement and supply chain management. The application domain includes perishable food supply chain, steel price prediction, electric vehicle charging infrastructure design, contract price negotiation, reverse logistics network design, and demand forecasting. Further, the book highlights the advanced topics in the procurement field, like AI in green procurement and e-procurement in the pharma sector. Furthermore, the book covers applications of well-established methodologies such as heuristics, optimization, game theory, and MCDM based on the nature of the problem. The inclusion of the vaccine supply chain digital twin and blockchain-based procurement signals the significance of the book. This book is a comprehensive guide for industry professionals to understand the power of data analytics, enabling them to improve efficiency and effectiveness in the procurement and supply chain sectors.

商品描述(中文翻譯)

本書提供了有關機器學習和人工智慧（AI）最前沿應用的實用見解，旨在解決採購和供應鏈管理中引人入勝且複雜的問題。應用領域包括易腐食品供應鏈、鋼鐵價格預測、電動車充電基礎設施設計、合約價格談判、逆向物流網絡設計以及需求預測。此外，本書還強調了採購領域的進階主題，如綠色採購中的AI和製藥行業的電子採購。此外，本書根據問題的性質涵蓋了成熟方法論的應用，如啟發式方法、優化、博弈論和多準則決策（MCDM）。疫苗供應鏈數位雙胞胎和基於區塊鏈的採購的納入，顯示了本書的重要性。本書是業界專業人士理解數據分析力量的全面指南，使他們能夠提高採購和供應鏈領域的效率和效能。

作者簡介

Prof. Manoj Kumar Tiwari (FNAE, FNASc, FIIIE, FIISE) has been Director, National Institute of Industrial Engineering (NITIE) Mumbai since November 2019. He is a Professor with Higher Academic Grade (HAG) in the Department of Industrial and Systems Engineering at the Indian Institute of Technology, Kharagpur. He is the winner of The David F. Baker Distinguished Research Award 2023. He is actively involved in research relevant to the application of optimization, modeling, decision support systems, and data mining in logistics, supply chain management, and manufacturing research domains. He is associate/senior editor of several renowned journals like IJPR, POMS, IISE, ESWA, JIM, IEEE-SMCA, INS, and CAIE. Prof Tiwari has led numerous projects and consultancy assignments with prominent industry and government organizations in India, including Indian Air Force, Procter and Gamble, TATA Hitachi, and ports located in eastern India. In addition, he extensively engaged in collaborative research with partners from Loughborough University UK, Institute for Manufacturing (IfM) at the University of Cambridge UK, Warwick Manufacturing Group UK, Durham University UK, and the University of Connecticut USA. Prof. Tiwari is an author of more than 400 articles in leading international journals with H index-77.
Prof. Madhu Ranjan Kumar IRSS (Retd) heads the Procurement Research Centre (PRC) at Arun Jaitley National Institute of Financial Management (AJNIFM), Faridabad, India. The recent research areas of Prof. Kumar are use of data analytics in Reverse Auction and in pricing of bids. He is a Fellow of Indian Institute of Materials Management and a Fellow of Institution of Engineers. He is a Mechanical Engineer from IIT BHU and doctorate from Southern Cross University, Australia.

Dr. Rofin T. M. is currently working as an Assistant Professor in the area of Operations and Supply Chain Management at National Institute of Industrial Engineering (NITIE), Mumbai. He obtained his PhD from the Department of Industrial and Systems Engineering, Indian Institute of Technology Kharagpur. His research work is concerned with game-theoretic modelling of emerging multi-channel supply chain configurations, EPC contracts, Electric Vehicle Charging Supply Chain and Supply Chain Risk and Resilience. He has more than 6 years of teaching experience at the post graduate level. He is a lifetime member of Operational Research Society of India.

Rony Mitra is a research scholar at the Indian Institute of Technology (IIT) Kharagpur with the Department of Mathematics. He completed his B.Sc in Mathematics and MTech in Computer Science and Data Processing. His areas of research interest are financial mathematics, financial modeling, stochastic processes, asset pricing, risk management, time series, portfolio management, supply chain management, data structures, etc. He developed innovative solutions for various industrial challenges, including predictive maintenance for baggage handling systems, sales forecasting for a multinational retail company, turn around time reduction for an Indian Port.

作者簡介(中文翻譯)

馬諾吉·庫馬爾·提瓦里教授（FNAE, FNASc, FIIIE, FIISE）自2019年11月以來擔任孟買國立工業工程研究所（NITIE）所長。他是印度理工學院卡哈拉格普爾分校工業與系統工程系的高級學術職級教授。他是2023年大衛·F·貝克傑出研究獎的得主。他積極參與與優化、建模、決策支持系統和數據挖掘在物流、供應鏈管理和製造研究領域應用相關的研究。他是多本知名期刊的副編輯/高級編輯，如IJPR、POMS、IISE、ESWA、JIM、IEEE-SMCA、INS和CAIE。提瓦里教授曾與印度的印度空軍、寶僑、塔塔日立及位於印度東部的港口等知名產業和政府機構領導多個項目和顧問任務。此外，他還與英國拉夫堡大學、劍橋大學製造研究所（IfM）、英國華威製造集團、英國達勒姆大學和美國康涅狄格大學的合作夥伴進行廣泛的合作研究。提瓦里教授在國際領先期刊上發表了超過400篇文章，H指數為77。

馬杜·蘭詹·庫馬爾教授（IRSS，退休）目前擔任阿倫·賈特利國立財務管理研究所（AJNIFM）採購研究中心（PRC）主任。庫馬爾教授最近的研究領域包括在反向拍賣和投標定價中使用數據分析。他是印度材料管理學會的院士及工程師學會的院士。他是印度理工學院BHU的機械工程師，並在澳大利亞南十字星大學獲得博士學位。

羅芬·T·M博士目前在孟買國立工業工程研究所（NITIE）擔任運營與供應鏈管理領域的助理教授。他在印度理工學院卡哈拉格普爾分校的工業與系統工程系獲得博士學位。他的研究工作涉及新興多渠道供應鏈配置的博弈論建模、EPC合約、電動車充電供應鏈以及供應鏈風險與韌性。他在研究生層級擁有超過6年的教學經驗，並且是印度運籌學會的終身會員。

羅尼·米特拉是印度理工學院（IIT）卡哈拉格普爾數學系的研究學者。他完成了數學學士學位和計算機科學及數據處理的碩士學位。他的研究興趣包括金融數學、金融建模、隨機過程、資產定價、風險管理、時間序列、投資組合管理、供應鏈管理、數據結構等。他為各種工業挑戰開發了創新解決方案，包括行李處理系統的預測性維護、跨國零售公司的銷售預測以及印度港口的周轉時間縮短。

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