Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Olumide Emmanuel Oluyisola"'
Publikováno v:
Journal of Intelligent Manufacturing
In furtherance of emerging research within smart production planning and control (PPC), this paper prescribes a methodology for the design and development of a smart PPC system. A smart PPC system uses emerging technologies such as the internet of th
Autor:
Olumide Emmanuel Oluyisola, Jan Ola Strandhagen, Fabio Sgarbossa, Mina Rahmani, Anita Romsdal
Publikováno v:
IFAC-Papers
As part of Industry 4.0, the concept of smart production planning and control (PPC) is emerging. In this paper we develop a theoretical framework that links the characteristics of a company’s planning environment with the need for smart PPC. We sho
Autor:
Wafaa A.H. Ahmed, John Angelopoulos, Néstor Fabián Ayala, Hamed Baziyad, Ahmad Beltagui, Guilherme Brittes Benitez, Anthony Beresford, Indranil Bose, Alexandra Brintrup, Jan Broekaert, Xavier Brusset, Sang Yoon Cha, Kitty Kay Chan, Elsa Corbin, Karsten Cox, Guven Demirel, Stella Despoudi, Nathalie Fabbe-Costes, Alejandro Germán Frank, Stefan Gold, Eric H. Grosse, Mikko Hänninen, Dmitry Ivanov, Amila Jayarathne, Ashish Kumar Jha, Erisa Karafili, Vahid Kayvanfar, Aseem Kinra, Edward Elson Kosasih, Eric Lambourdière, Davide La Torre, Lucie Lechaptois, Matthew Liotine, Bart L. MacCarthy, Dimitris Mourtzis, Breno Nunes, Olumide Emmanuel Oluyisola, Rudrajeet Pal, Nikos Panopoulos, Stephen Pettit, Abderahman Rejeb, Alexa Rios, Anita Romsdal, Fabio Sgarbossa, Konstantina Spanaki, Jan Ola Strandhagen, Horst Treiblmaier, Nishant Kumar Verma, Jérôme Verny, Yingli Wang, Sven Winkelhaus, Gongtao Zhang, Lina Zhang
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1dd1861e981ec4b86b042291b594a5a0
https://doi.org/10.1016/b978-0-323-91614-1.01002-9
https://doi.org/10.1016/b978-0-323-91614-1.01002-9
Publikováno v:
IFAC-Papers
The purpose of this research is to identify the various challenges encountered when using tracking and tracing technology in the dairy industry. Based on a systematic literature review, the challenges are reviewed from the supply chain perspective. T
Publikováno v:
Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems ISBN: 9783030859091
APMS (4)
APMS (4)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14c346f6a7957b597928a1ecf6156efd
https://doi.org/10.1007/978-3-030-85910-7_39
https://doi.org/10.1007/978-3-030-85910-7_39
Publikováno v:
IFIP Advances in Information and Communication Technology ISBN: 9783030579920
APMS (1)
APMS (1)
This paper investigates the topics of data, sustainability, and production planning and control in food supply chains from the perspective of industrial food producers. To stay competitive in an industry with low profit margins, strong competition, a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::937020c86bcc947fc77abf6d5ff227e2
https://doi.org/10.1007/978-3-030-57993-7_72
https://doi.org/10.1007/978-3-030-57993-7_72
Publikováno v:
IFAC-Papers
With respect to process manufacturing industries, there has been limited research on inbound transportation management in the literature. While some of the methods and strategies developed in the discrete manufacturing industry are easily applicable
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::167aeff1dbd84a0b4d7b998596543dfe
https://hdl.handle.net/11250/2639513
https://hdl.handle.net/11250/2639513
Publikováno v:
Sustainability, Vol 12, Iss 3791, p 3791 (2020)
3791-?
Sustainability
Volume 12
Issue 9
3791-?
Sustainability
Volume 12
Issue 9
Many companies are struggling to manage their production systems due to increasing market uncertainty. While emerging &lsquo
smart&rsquo
technologies such as the internet of things, machine learning, and cloud computing have been touted as
smart&rsquo
technologies such as the internet of things, machine learning, and cloud computing have been touted as
Publikováno v:
IFAC-Papers
While Radio Frequency Identification (or RFId) technology has gained significant traction in the downstream operations and industries like retail, adoption upstream of the value-chain has been much slower. Few reported cases of implementations in job
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9de210ba13253873b0c5c7fea2c35c92
https://hdl.handle.net/11250/2581002
https://hdl.handle.net/11250/2581002