Smart and sustainable supply chain and logistics - trends, challenges, methods and best practices. Volume 1

Paulina Golińska-Dawson; Kune-Muh Tsai; Monika Kosacka-Olejnik

doi:10.1007/978-3-030-61947-3

Scientific Information System of the Poznań University of Technology

PL EN

Main page / Publications / Smart and sustainable supply chain and logistics - trends, challenges, methods and best practices. Volume 1

Submit a comment

Book

Download BibTeX

Title

Smart and sustainable supply chain and logistics - trends, challenges, methods and best practices. Volume 1

Editors

Paulina Golińska-Dawson (WIZ) ^{[ 1 ][ 6.6 ][ P ]}
Kune-Muh Tsai
Monika Kosacka-Olejnik (WIZ) ^{[ 1 ][ 6.6 ][ P ]}

^{[ 1 ]} Instytut Logistyki, Wydział Inżynierii Zarządzania, Politechnika Poznańska | ^{[ P ]} employee

Scientific discipline (Law 2.0)

[6.6] Management and quality studies

Year of publication

2020

Book type

editing of scientific monograph

Publication language

english

Place

Cham, Switzerland

Publisher name

Springer

Publisher name from the Ministry list

Springer

Date of publication

2020

Number of pages

448

ISBN

978-3-030-61946-6

eISBN

978-3-030-61947-3

DOI

10.1007/978-3-030-61947-3

URL

https://link.springer.com/book/10.1007/978-3-030-61947-3

Published in

Book series: EcoProduction : Environmental Issues in Logistics and Manufacturing, ECOPROD

Chapters

Logic for Management of Vehicles at Warehouse (p. 73-90)

Stakeholder Involvement Added Value Indicators in IT Systems Design for Industry 4.0 Digital Innovation Hubs (p. 101-111)

Comparison of CRM systems dedicated to SMEs in terms of the omnichannel concept (p. 113-130)

Sustainable city mobility - comparison of actual state in selected European countries (p. 133-151)

Human factor in Industry 4.0 - perception of competences of graduates and employees (p. 257-265)

Management of the Human Capital of the Persons with Disabilities in Logistics Organizations (p. 267-275)

Application of the MAC method for risk assessment during handling of loads (p. 277-290)

Modeling for Human Resources Management by Data Mining, Analytics and Artificial Intelligence in the Logistics Departments (p. 291-303)

Classification of trends and supply chains development directions (p. 307-322)

Framework of the Model of Dissemination and Absorption of Logistics 4.0 Solutions - Causal Loop Dynamics of Relations Between Academia and Business (p. 323-337)

Total point value of monograph

80

Total point value of monograph (humanities, social sciences and theology)

120

Total point value for editor

20

Total point value for editor (humanities, social sciences and theology)

40

System created by Poznań University of Technology and Poznan Supercomputing and Networking Center

Log in through eKonto to add to SIS