Modeling of lateness distributions depending on the sequencing method with respect to productivity effects

Research output: Journal contributionsJournal articlesResearchpeer-review

Standard

Modeling of lateness distributions depending on the sequencing method with respect to productivity effects. / Bertsch, Sebastian; Schmidt, Matthias; Nyhuis, Peter.
In: CIRP Annals - Manufacturing Technology, Vol. 63, No. 1, 2014, p. 429-432.

Research output: Journal contributionsJournal articlesResearchpeer-review

Harvard

APA

Vancouver

Bibtex

@article{05a700fdebe549c7bb5ad4b837cd1214,
title = "Modeling of lateness distributions depending on the sequencing method with respect to productivity effects",
abstract = "Productivity and schedule reliability are two major objectives for production areas. Companies can influence both objectives by the applied sequencing rule. While a due-date oriented sequencing rule supports the schedule reliability, a setup-time oriented sequencing rule increases productivity. Thus, a field of tension between these objectives exists in which companies have to position their production areas. To support the positioning, this paper provides a model for calculating the output lateness distribution of a production system for a setup-time oriented and a First-In-First-Out sequencing rule. Furthermore, the effect of the applied rule on productivity of production systems is analyzed.",
keywords = "Logistics, Modeling, Schedule reliability, Engineering",
author = "Sebastian Bertsch and Matthias Schmidt and Peter Nyhuis",
year = "2014",
doi = "10.1016/j.cirp.2014.03.105",
language = "English",
volume = "63",
pages = "429--432",
journal = "CIRP Annals - Manufacturing Technology",
issn = "0007-8506",
publisher = "Elsevier Inc.",
number = "1",

}

RIS

TY - JOUR

T1 - Modeling of lateness distributions depending on the sequencing method with respect to productivity effects

AU - Bertsch, Sebastian

AU - Schmidt, Matthias

AU - Nyhuis, Peter

PY - 2014

Y1 - 2014

N2 - Productivity and schedule reliability are two major objectives for production areas. Companies can influence both objectives by the applied sequencing rule. While a due-date oriented sequencing rule supports the schedule reliability, a setup-time oriented sequencing rule increases productivity. Thus, a field of tension between these objectives exists in which companies have to position their production areas. To support the positioning, this paper provides a model for calculating the output lateness distribution of a production system for a setup-time oriented and a First-In-First-Out sequencing rule. Furthermore, the effect of the applied rule on productivity of production systems is analyzed.

AB - Productivity and schedule reliability are two major objectives for production areas. Companies can influence both objectives by the applied sequencing rule. While a due-date oriented sequencing rule supports the schedule reliability, a setup-time oriented sequencing rule increases productivity. Thus, a field of tension between these objectives exists in which companies have to position their production areas. To support the positioning, this paper provides a model for calculating the output lateness distribution of a production system for a setup-time oriented and a First-In-First-Out sequencing rule. Furthermore, the effect of the applied rule on productivity of production systems is analyzed.

KW - Logistics

KW - Modeling

KW - Schedule reliability

KW - Engineering

UR - https://www.mendeley.com/catalogue/2feee248-fa27-3239-9054-0b9708401735/

U2 - 10.1016/j.cirp.2014.03.105

DO - 10.1016/j.cirp.2014.03.105

M3 - Journal articles

AN - SCOPUS:84902544823

VL - 63

SP - 429

EP - 432

JO - CIRP Annals - Manufacturing Technology

JF - CIRP Annals - Manufacturing Technology

SN - 0007-8506

IS - 1

ER -

Recently viewed

Publications

  1. Challenges in detecting proximal effects of existential threat on lie detection accuracy
  2. The professional context as a predictor for response distortion in the Adaption-Innovation-Inventory – An investigation using mixture-distribution item-response theory models
  3. Industrial applications using wavelet packets for gross error detection
  4. Introduction
  5. Systematic feature evaluation for gene name recognition
  6. A cognitive mapping approach to understanding public objection to energy infrastructure
  7. Public Value: rethinking value creation
  8. Predicate‐based model of problem‐solving for robotic actions planning
  9. Octanol-Water Partition Coefficient Measurement by a Simple 1H NMR Method
  10. Approximate tree kernels
  11. Mathematical Modeling for Robot 3D Laser Scanning in Complete Darkness Environments to Advance Pipeline Inspection
  12. Introducing split orders and optimizing operational policies in robotic mobile fulfillment systems
  13. Metrics for Experimentation Programs: Categories, Benefits and Challenges
  14. Scholarly Question Answering Using Large Language Models in the NFDI4DataScience Gateway
  15. Application of design of experiments for laser shock peening process optimization
  16. A survey of empirical studies using transaction level data on exports and imports
  17. A Wavelet Packet Algorithm for Online Detection of Pantograph Vibrations
  18. Processing of CSR communication: insights from the ELM
  19. Experimentally established correlation of friction surfacing process temperature and deposit geometry
  20. Guest Editorial - ''Econometrics of Anonymized Micro Data''
  21. Performance Saga: Interview 01
  22. Active learning for network intrusion detection
  23. A Lyapunov based PI controller with an anti-windup scheme for a purification process of potable water
  24. Embarrassment as a public vs. private emotion and symbolic coping behaviour
  25. Intraspecific trait variation increases species diversity in a trait-based grassland model
  26. »HOW TO MAKE YOUR OWN SAMPLES«
  27. Imaginary practices as the nexus between continuity and disruptive change
  28. Polar Coordinates and Interactive Learning
  29. Developing a sustainable platform for entity annotation benchmarks
  30. Meta-Image – a collaborative environment for the image discourse
  31. Gaining deep leverage? Reflecting and shaping real-world lab impacts through leverage points