Algorithm for High-Throughput Scheduling of Paced Sequences
Procedia Manufacturing, ISSN: 2351-9789, Vol: 43, Page: 223-230
2020
- 12Captures
Metric Options: Counts1 Year3 YearSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Captures12
- Readers12
- 12
Article Description
Sustainable production systems are characterized by systematic order control and scheduling to increase performance. Efficient scheduling considers all restrictions that occur during order processing, to achieve high utilization. This includes safety margins for ad hoc changes and in particular the scheduling of temporarily paced sequences. After processing these orders, the organizational process is carried out with a highly flexible material flow similar to job shop production. This paper describes an algorithm for the efficient planning of temporarily paced sequences during scheduling of a high-throughput system, in order to achieve an optimal utilization in the planning phase.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S2351978920307216; http://dx.doi.org/10.1016/j.promfg.2020.02.141; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85088522855&origin=inward; https://linkinghub.elsevier.com/retrieve/pii/S2351978920307216; https://dx.doi.org/10.1016/j.promfg.2020.02.141
Elsevier BV
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know