Modeling the Sequence Dependent Lateness of a Single Workstation

Sebastian Bertsch; Carolin Felix; Peter Nyhuis

doi:10.4028/www.scientific.net/AMR.1140.443

Paper Titles

Identification of Influence Parameters and Dependencies on the Illumination of Machine Vision Systems for Robots
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Concept for an Adapted BDI Architecture for Agent-Based Simulation of the Socio-Technical System in Manufacturing
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Workforce Flexibility in Production Networks: Mid-Term Capacity Planning Illustrated by an Example of the Automotive Industry
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Integrating Workers’ Feedback into Continuous Information Flows: Enabling Lean Quality Assurance by Worker Information Systems
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Modeling the Sequence Dependent Lateness of a Single Workstation
p.443

A Data-Driven Simulation-Based Optimisation Approach for Adaptive Scheduling and Control of Dynamic Manufacturing Systems
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Evaluation of Strategies for the Coupling of Central Planning and Autonomous Control in Dynamic Job Shop Environments
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Application and Validation of an Existing Industry 4.0 Guideline for the Development of Specific Recommendations for Implementation
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Simulation-Based Evaluation of Quality Control Strategies in Global Manufacturing Networks
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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 1140Modeling the Sequence Dependent Lateness of a...

Modeling the Sequence Dependent Lateness of a Single Workstation

Abstract:

Due date reliability is a critical competitive factor for manufacturing companies and hence a central objective in logistics. Nonetheless, many businesses are unable to meet their own schedule reliability standards. The reasons for the insufficient achievement of logistical targets are inherent in the diverse and interdependent influential factors that affect schedule reliability. However, logistical models enable to determine these interdependencies. This paper introduces the operating curves of output lateness of a single workstation for various sequencing methods. The parameter studies comprise the preliminary work necessary to provide a complete, model-based description of production schedule deviations.

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Periodical:

Advanced Materials Research (Volume 1140)

Pages:

443-448

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1140.443

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Online since:

August 2016

Authors:

Sebastian Bertsch, Carolin Felix*, Peter Nyhuis

Keywords:

Lateness, Modelling, Production

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