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A critical review of planning and scheduling in steel-making and continuous casting in the steel industry
Steel-making and continuous casting (SCC) processes are considered the main bottlenecks
in the steel industry. We consider planning and scheduling problems in SCC processes and …
in the steel industry. We consider planning and scheduling problems in SCC processes and …
An efficient self-adaptive artificial bee colony algorithm for the distributed resource-constrained hybrid flowshop problem
Distributed factory processing has attracted the attention and application of many companies
because of the low cost and high flexibility. In the present study, the self-adaptive artificial …
because of the low cost and high flexibility. In the present study, the self-adaptive artificial …
A matheuristic for flexible job shop scheduling problem with lot-streaming and machine reconfigurations
Multi-variety and small-batch production mode enables manufacturing industries to
expeditiously satisfy customers' personalised demands, where a large amount of identical …
expeditiously satisfy customers' personalised demands, where a large amount of identical …
Flexible assembly job shop scheduling problem considering reconfigurable machine: A cooperative co-evolutionary matheuristic algorithm
With popularity of mass customization, enterprises urgently need to improve reconfigurability
to handle rapidly changing market demands. Reconfigurable machines have been widely …
to handle rapidly changing market demands. Reconfigurable machines have been widely …
Big data and machine learning: A roadmap towards smart plants
Industry 4.0 aims to transform chemical and biochemical processes into intelligent systems
via the integration of digital components with the actual physical units involved. This process …
via the integration of digital components with the actual physical units involved. This process …
A feedback-based artificial bee colony algorithm for energy-efficient flexible flow shop scheduling problem with batch processing machines
Energy-efficient flexible flow shop scheduling problem (EFFSP) and parallel batch
processing machines (BPM) scheduling problem have been extensively studied; however …
processing machines (BPM) scheduling problem have been extensively studied; however …
Scheduling unrelated machines with job splitting, setup resources and sequence dependency
We examine the parallel machine scheduling problem where a set of jobs are to be
processed by a set of unrelated parallel machines. We examine the most general among the …
processed by a set of unrelated parallel machines. We examine the most general among the …
Workforce capacity planning with hierarchical skills, long-term training, and random resignations
This paper addresses a multistage capacity planning problem for a hierarchically skilled
workforce in a production environment. Recruits are hired with little or no experience and …
workforce in a production environment. Recruits are hired with little or no experience and …
Multi-population genetic algorithm with greedy job insertion inter-factory neighbourhoods for multi-objective distributed hybrid flow-shop scheduling with unrelated …
Distributed manufacturing is gradually becoming the future trend. The fierce market
competition makes manufacturing companies focus on productivity and product delivery …
competition makes manufacturing companies focus on productivity and product delivery …
[HTML][HTML] Distributed hybrid flowshop scheduling with consistent sublots under delivery time windows: A penalty lot-assisted iterated greedy algorithm
Integrating the delivery time windows into the distributed hybrid flow shop scheduling
contributes to ensuring the timely delivery of products and enhancing customer satisfaction …
contributes to ensuring the timely delivery of products and enhancing customer satisfaction …