Executing production schedules in the face of uncertainties: A review and some future directions

H Aytug, MA Lawley, K McKay, S Mohan… - European Journal of …, 2005 - Elsevier
We review the literature on executing production schedules in the presence of unforeseen
disruptions on the shop floor. We discuss a number of issues related to problem formulation …

[KNIHA][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 …

Iterated local search

HR Lourenço, OC Martin, T Stützle - Handbook of metaheuristics, 2003 - Springer
The importance of high performance algorithms for tackling difficult optimization problems
cannot be understated, and in many cases the only available methods are metaheuristics …

[KNIHA][B] Production planning and control for semiconductor wafer fabrication facilities: modeling, analysis, and systems

L Mönch, JW Fowler, SJ Mason - 2012 - books.google.com
Over the last fifty-plus years, the increased complexity and speed of integrated circuits have
radically changed our world. Today, semiconductor manufacturing is perhaps the most …

An improved genetic algorithm for flexible job shop scheduling problem considering reconfigurable machine tools with limited auxiliary modules

J Fan, C Zhang, Q Liu, W Shen, L Gao - Journal of Manufacturing Systems, 2022 - Elsevier
Reconfigurable manufacturing system is widely regarded as a major drive towards the next-
generation manufacturing, where one of the most common scenarios is that advanced …

Distributed real-time scheduling in cloud manufacturing by deep reinforcement learning

L Zhang, C Yang, Y Yan, Y Hu - IEEE Transactions on Industrial …, 2022 - ieeexplore.ieee.org
With the extensive application of automated guided vehicles, real-time production
scheduling considering logistics services in cloud manufacturing (CM) becomes an urgent …

Automatic design of scheduling policies for dynamic multi-objective job shop scheduling via cooperative coevolution genetic programming

S Nguyen, M Zhang, M Johnston… - IEEE Transactions on …, 2013 - ieeexplore.ieee.org
A scheduling policy strongly influences the performance of a manufacturing system.
However, the design of an effective scheduling policy is complicated and time consuming …

A multi-population, multi-objective memetic algorithm for energy-efficient job-shop scheduling with deteriorating machines

M Abedi, R Chiong, N Noman, R Zhang - Expert Systems with Applications, 2020 - Elsevier
This paper focuses on an energy-efficient job-shop scheduling problem within a machine
speed scaling framework, where productivity is affected by deterioration. To alleviate the …

A computational study of representations in genetic programming to evolve dispatching rules for the job shop scheduling problem

S Nguyen, M Zhang, M Johnston… - IEEE Transactions on …, 2012 - ieeexplore.ieee.org
Designing effective dispatching rules is an important factor for many manufacturing systems.
However, this time-consuming process has been performed manually for a very long time …

Current trends in deterministic scheduling

CY Lee, L Lei, M Pinedo - Annals of operations Research, 1997 - Springer
Scheduling is concerned with allocating limited resources to tasks to optimize certain
objective functions. Due to the popularity of the Total Quality Management concept, on-time …