001471520 000__ 04509cam\\22006617i\4500
001471520 001__ 1471520
001471520 003__ OCoLC
001471520 005__ 20230908003301.0
001471520 006__ m\\\\\o\\d\\\\\\\\
001471520 007__ cr\un\nnnunnun
001471520 008__ 230706s2023\\\\si\a\\\\o\\\\\100\0\eng\d
001471520 019__ $$a1389341418
001471520 020__ $$a9789819910199$$q(electronic bk.)
001471520 020__ $$a9819910196$$q(electronic bk.)
001471520 020__ $$z9789819910182
001471520 020__ $$z9819910188
001471520 0247_ $$a10.1007/978-981-99-1019-9$$2doi
001471520 035__ $$aSP(OCoLC)1389525873
001471520 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX$$dEBLCP$$dOCLCQ
001471520 049__ $$aISEA
001471520 050_4 $$aJF1525.P85
001471520 08204 $$a352.53$$223/eng/20230706
001471520 1112_ $$aInternational Conference on Data Analytics in Public Procurement and Supply Chain$$d(2022)
001471520 24510 $$aApplications of emerging technologies and AI/ML algorithms :$$bInternational Conference on Data Analytics in Public Procurement and Supply Chain (ICDAPS2022) /$$cManoj Kumar Tiwari, Madhu Ranjan Kumar, Rofin T. M., Rony Mitra, editors.
001471520 2463_ $$aICDAPS 2022
001471520 264_1 $$aSingapore :$$bSpringer,$$c2023.
001471520 300__ $$a1 online resource (xii, 408 pages) :$$billustrations (some color).
001471520 336__ $$atext$$btxt$$2rdacontent
001471520 337__ $$acomputer$$bc$$2rdamedia
001471520 338__ $$aonline resource$$bcr$$2rdacarrier
001471520 4901_ $$aAsset analytics,$$x2522-5170
001471520 5050_ $$aChapter 1: Q-Learning Approach to Mitigate Bacterial Contamination in Food Supply Chain -- Chapter 2: Optimization of Network Planning in a Real-Life Vehicle Logistics Distribution System -- Chapter 3: Efficient Supplier Selection in e-Procurement Reverse Auction using Graph Based Model -- Chapter 4: Role of E-procurement and Blockchains in Government Tendering- A Case of China Omnichannel distribution network design for fresh-food procurement considering freshness keeping effort and food quality loss.
001471520 506__ $$aAccess limited to authorized users.
001471520 520__ $$aThis book provides practical insights into applications of the state-of-the-art of Machine Learning and Artificial Intelligence (AI) for solving intriguing and complex problems in procurement and supply chain management. The application domain includes perishable food supply chain, steel price prediction, electric vehicle charging infrastructure design, contract price negotiation, reverse logistics network design, and demand forecasting. Further, the book highlights the advanced topics in the procurement field, like AI in green procurement and e-procurement in the pharma sector. Furthermore, the book covers applications of well-established methodologies such as heuristics, optimization, game theory, and MCDM based on the nature of the problem. The inclusion of the vaccine supply chain digital twin and blockchain-based procurement signals the significance of the book. This book is a comprehensive guide for industry professionals to understand the power of data analytics, enabling them to improve efficiency and effectiveness in the procurement and supply chain sectors.
001471520 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed July 6, 2023).
001471520 650_0 $$aGovernment purchasing$$xManagement$$vCongresses.
001471520 650_0 $$aArtificial intelligence$$xEconomic aspects$$vCongresses.
001471520 655_0 $$aElectronic books.
001471520 7001_ $$aTiwari, Manoj Kumar,$$eeditor.$$0(orcid)0000-0001-8564-1402$$1https://orcid.org/0000-0001-8564-1402
001471520 7001_ $$aKumar, Madhu Ranjan,$$eeditor.
001471520 7001_ $$aT. M., Rofin,$$eeditor.$$0(orcid)0000-0003-2777-4658$$1https://orcid.org/0000-0003-2777-4658
001471520 7001_ $$aMitra, Rony,$$eeditor.$$0(orcid)0000-0003-1179-7740$$1https://orcid.org/0000-0003-1179-7740
001471520 77608 $$iPrint version: $$z9819910188$$z9789819910182$$w(OCoLC)1369679417
001471520 830_0 $$aAsset analytics,$$x2522-5170
001471520 852__ $$bebk
001471520 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-99-1019-9$$zOnline Access$$91397441.1
001471520 909CO $$ooai:library.usi.edu:1471520$$pGLOBAL_SET
001471520 980__ $$aBIB
001471520 980__ $$aEBOOK
001471520 982__ $$aEbook
001471520 983__ $$aOnline
001471520 994__ $$a92$$bISE