Flexible scheduling of diagnostic tests in automotive manufacturing

Author:

König SimoneORCID,Reihn Maximilian,Abujamra Felipe GelinskiORCID,Novy Alexander,Vogel-Heuser BirgitORCID

Abstract

AbstractThe car of the future will be driven by software and offer a variety of customisation options. Enabling these customisation options forces modern automotive manufacturers to update their standardised scheduling concepts for testing and commissioning cars. A flexible scheduling concept means that every chosen customer configuration code must have its own testing procedure. This concept is essential to provide individual testing workflows where the time and resources are optimised for every car. Manual scheduling is complicated due to constraints on time, predecessor-successor relationships, mutual exclusion criteria, resources and status conditions on the car engineering and assembly line. Applied methods to handle the mathematical formulation for the corresponding industrial optimisation problem and its implementation are not yet available. This paper presents a procedure for automated and non-preemptive scheduling in the testing and commissioning of cars, which is built on a Boolean satisfiability problem on parallel and identical machines with temporal and resource constraints. The presented method is successfully implemented and evaluated on a variant assembly line of an automotive Original Equipment Manufacturer. This paper is the starting point for an automated workflow planning and scheduling process in automotive manufacturing.

Funder

Technische Universität München

Publisher

Springer Science and Business Media LLC

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Verification and validation of embedded software in an automotive context: a systematic literature review;Revista Científica Multidisciplinar Núcleo do Conhecimento;2023-10-03

2. BPMN4CARS: A Car-Tailored Workflow Engine;2023 IEEE 21st International Conference on Industrial Informatics (INDIN);2023-07-18

3. Analyzing the Factors for Implementing Make-to-Order Manufacturing System;Sustainability;2023-06-29

4. Online Test Scheduling in Car Production Lines;2023 IEEE Intelligent Vehicles Symposium (IV);2023-06-04

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