Process systems engineering–the generation next?
Abstract Process Systems Engineering (PSE) is the scientific discipline of integrating scales
and components describing the behavior of a physicochemical system, via mathematical …
and components describing the behavior of a physicochemical system, via mathematical …
[HTML][HTML] Challenges, opportunities and future directions of smart manufacturing: a state of art review
Smart manufacturing is the technology utilizing the interconnected machines and tools for
improving manufacturing performance and optimizing the energy and workforce required by …
improving manufacturing performance and optimizing the energy and workforce required by …
Scheduling in production, supply chain and Industry 4.0 systems by optimal control: fundamentals, state-of-the-art and applications
This paper presents a survey on the applications of optimal control to scheduling in
production, supply chain and Industry 4.0 systems with a focus on the deterministic …
production, supply chain and Industry 4.0 systems with a focus on the deterministic …
A dynamic model and an algorithm for short-term supply chain scheduling in the smart factory industry 4.0
Smart factories Industry 4.0 on the basis of collaborative cyber-physical systems represents
a future form of industrial networks. Supply chains in such networks have dynamic structures …
a future form of industrial networks. Supply chains in such networks have dynamic structures …
[图书][B] Global supply chain and operations management
D Ivanov, A Tsipoulanidis, J Schönberger - 2021 - Springer
In everyday life, all of us take supply chain and operations management (SCOM) decisions.
If you move to a new fiat, location planning is first necessary. Second, you need a plan of …
If you move to a new fiat, location planning is first necessary. Second, you need a plan of …
[HTML][HTML] A review on superstructure optimization approaches in process system engineering
In this paper, we survey the main superstructure-based approaches in process system
engineering, with a particular emphasis on the existing literature for automated …
engineering, with a particular emphasis on the existing literature for automated …
[HTML][HTML] A deep reinforcement learning approach for chemical production scheduling
This work examines applying deep reinforcement learning to a chemical production
scheduling process to account for uncertainty and achieve online, dynamic scheduling, and …
scheduling process to account for uncertainty and achieve online, dynamic scheduling, and …
Applications of process and digital twin models for production simulation and scheduling in the manufacturing of food ingredients and products
A Koulouris, N Misailidis, D Petrides - Food and Bioproducts Processing, 2021 - Elsevier
Abstract Food Processing Industries are bound to increasingly adopt digital technologies in
order to ensure product safety and quality, minimize costs in the face of low profit margins …
order to ensure product safety and quality, minimize costs in the face of low profit margins …
[HTML][HTML] A rolling horizon optimization framework for the simultaneous energy supply and demand planning in microgrids
This work focuses on the development of optimization-based scheduling strategies for the
coordination of microgrids. The main novelty of this work is the simultaneous management of …
coordination of microgrids. The main novelty of this work is the simultaneous management of …
Production planning and scheduling in multi-factory production networks: a systematic literature review
J Lohmer, R Lasch - International Journal of Production Research, 2021 - Taylor & Francis
Multi-factory production planning and scheduling problems have been increasingly studied
by scholars recently due to market uncertainty, technological trends like Industry 4.0 and …
by scholars recently due to market uncertainty, technological trends like Industry 4.0 and …