Data fusion and machine learning for industrial prognosis: Trends and perspectives towards Industry 4.0
The so-called “smartization” of manufacturing industries has been conceived as the fourth
industrial revolution or Industry 4.0, a paradigm shift propelled by the upsurge and …
industrial revolution or Industry 4.0, a paradigm shift propelled by the upsurge and …
Genetic programming for production scheduling: a survey with a unified framework
Genetic programming has been a powerful technique for automated design of production
scheduling heuristics. Many studies have shown that heuristics evolved by genetic …
scheduling heuristics. Many studies have shown that heuristics evolved by genetic …
Multi-resource constrained flexible job shop scheduling problem with fixture-pallet combinatorial optimisation
There is a lack of research on the flexible job shop scheduling problem (FJSP) considering
limited fixture-pallet resources in multi-product mixed manufacturing workshops. However …
limited fixture-pallet resources in multi-product mixed manufacturing workshops. However …
Lexicographic multiobjective scatter search for the optimization of sequence-dependent selective disassembly subject to multiresource constraints
Industrial products' reuse, recovery, and recycling are very important because of their
environmental and economic benefits. Effective product disassembly planning methods can …
environmental and economic benefits. Effective product disassembly planning methods can …
[图书][B] Scheduling
ML Pinedo - 2012 - Springer
Michael L. Pinedo Theory, Algorithms, and Systems Sixth Edition Page 1 Scheduling Michael L.
Pinedo Theory, Algorithms, and Systems Sixth Edition Page 2 Scheduling Page 3 Michael L …
Pinedo Theory, Algorithms, and Systems Sixth Edition Page 2 Scheduling Page 3 Michael L …
A survey of dynamic scheduling in manufacturing systems
D Ouelhadj, S Petrovic - Journal of scheduling, 2009 - Springer
In most real-world environments, scheduling is an ongoing reactive process where the
presence of a variety of unexpected disruptions is usually inevitable, and continually forces …
presence of a variety of unexpected disruptions is usually inevitable, and continually forces …
Evolutionary optimization in uncertain environments-a survey
Evolutionary algorithms often have to solve optimization problems in the presence of a wide
range of uncertainties. Generally, uncertainties in evolutionary computation can be divided …
range of uncertainties. Generally, uncertainties in evolutionary computation can be divided …
Evolutionary computation: a unified approach
K De Jong - Proceedings of the Genetic and Evolutionary …, 2017 - dl.acm.org
Proceedings of the Genetic and Evolutionary Computation Conference Companion:
Evolutionary computation: a unified approach Page 1 1 Evolutionary Computation: A …
Evolutionary computation: a unified approach Page 1 1 Evolutionary Computation: A …
Rescheduling manufacturing systems: a framework of strategies, policies, and methods
GE Vieira, JW Herrmann, E Lin - Journal of scheduling, 2003 - Springer
Many manufacturing facilities generate and update production schedules, which are plans
that state when certain controllable activities (eg, processing of jobs by resources) should …
that state when certain controllable activities (eg, processing of jobs by resources) should …
Resource-constrained project scheduling problem: review of past and recent developments
F Habibi, F Barzinpour… - Journal of project …, 2018 - m.growingscience.com
The project scheduling problem is both practically and theoretically of paramount
importance. From the practical perspective, improvement of project scheduling as a critical …
importance. From the practical perspective, improvement of project scheduling as a critical …