1.

Record Nr.

UNISA990000047170203316

Autore

PALUMBO, Riccardo

Titolo

L' università nella sua dimensione economico-aziendale : evoluzione sistemica e modelli razionalizzanti / Riccardo Palumbo

Pubbl/distr/stampa

Torino : G. Giappichelli, 1999

ISBN

88-348-9260-7

Descrizione fisica

XV, 270 p. ; 24 cm

Collana

Collana di studi e ricerche sul sistema-azienda , Serie aziendale ; 13

Disciplina

378.106

Collocazione

XXX.B. Coll. 42/ 14 (Coll. PRC 13)

Lingua di pubblicazione

Italiano

Formato

Materiale a stampa

Livello bibliografico

Monografia

2.

Record Nr.

UNINA9910746082903321

Titolo

Applications of Emerging Technologies and AI/ML Algorithms : International Conference on Data Analytics in Public Procurement and Supply Chain (ICDAPS2022) / / edited by Manoj Kumar Tiwari, Madhu Ranjan Kumar, Rofin T. M., Rony Mitra

Pubbl/distr/stampa

Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023

ISBN

981-9910-19-6

Edizione

[1st ed. 2023.]

Descrizione fisica

1 online resource (402 pages)

Collana

Asset Analytics, Performance and Safety Management, , 2522-5170

Disciplina

060

Soggetti

Business logistics

Business - Data processing

Industrial procurement

Machine learning

Quantitative research

Supply Chain Management

Business Analytics

Procurement

Machine Learning

Data Analysis and Big Data



Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references.

Nota di contenuto

Chapter 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.

Sommario/riassunto

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.