Part 4: Data-Driven Production ManagementInternational audienceProduction logistics systems consist often of a number of low value-added activities combined with a high degree of manual work. Therefore, increasing effectivity and responsiveness has always been a target for production logistics systems. Sharing data in real-time may have a considerable potential to increase effectivity and responsiveness. The first step to realise real-time data sharing is to have a clear understanding of current state of PL systems and their requirements. This work is performed an ‘as-is’ situation analysis of an industrial case aiming at identifying which areas and applications would benefit most from real-time data sharing. The findings take a step closer...
The emergence and continuing rise of cyber-physical systems (CPS) poses significant challenges and o...
The study provides evidences on what are resources and capabilities necessary to achieve real time v...
Today utilizing data is crucial for businesses and the logistics sector is no exception. By analyzin...
Production logistics systems consist often of a number of low value-added activities combined with a...
This paper aims to identify the challenges and issues concerning environmental or social sustainabil...
Supply - and logistics innovations require data of different, heterogeneous sources. Supply chain re...
Master's thesis in Applied FinanceData sharing in business situations potentially impact innovations...
A data-driven approach is considered a viable means of dealing with thehigh degree of dynamics cause...
A data-driven approach in production logistics is adopted as a response to challengessuch as low vis...
The integrated planning and control of logistics processes can be seen as one of the basic prerequis...
Today, complex logistics operations include different levels of communication and interactions. This...
Today, complex logistics operations include different levels of communication and interactions. This...
The purpose of this thesis was to investigate how potentials of Real-Time Location Systems (RTLS) in...
The critical success factor of the supply chain management process in a modern manufacturing company...
Part IV: ICT and Emerging Technologies in Production ManagementInternational audiencePorts are integ...
The emergence and continuing rise of cyber-physical systems (CPS) poses significant challenges and o...
The study provides evidences on what are resources and capabilities necessary to achieve real time v...
Today utilizing data is crucial for businesses and the logistics sector is no exception. By analyzin...
Production logistics systems consist often of a number of low value-added activities combined with a...
This paper aims to identify the challenges and issues concerning environmental or social sustainabil...
Supply - and logistics innovations require data of different, heterogeneous sources. Supply chain re...
Master's thesis in Applied FinanceData sharing in business situations potentially impact innovations...
A data-driven approach is considered a viable means of dealing with thehigh degree of dynamics cause...
A data-driven approach in production logistics is adopted as a response to challengessuch as low vis...
The integrated planning and control of logistics processes can be seen as one of the basic prerequis...
Today, complex logistics operations include different levels of communication and interactions. This...
Today, complex logistics operations include different levels of communication and interactions. This...
The purpose of this thesis was to investigate how potentials of Real-Time Location Systems (RTLS) in...
The critical success factor of the supply chain management process in a modern manufacturing company...
Part IV: ICT and Emerging Technologies in Production ManagementInternational audiencePorts are integ...
The emergence and continuing rise of cyber-physical systems (CPS) poses significant challenges and o...
The study provides evidences on what are resources and capabilities necessary to achieve real time v...
Today utilizing data is crucial for businesses and the logistics sector is no exception. By analyzin...