Interview results, production workflows, inconsistencies in production workflows

Abstract: Results of inconsistency investigation with Daedalus GmbH. TechnicalRemarks: # General Because the interviews were conducted with a German precision contract manufacturer, namely Daedalus GmbH from Karlsruhe, the interviews and interview results are in German. As this is our replication package, we decided to keep the raw data and thus the German artifacts.

Structure

The reproduction material is structured in folders.

workflows

The workflows found in the contract manufacturing process at Daedalus GmbH, assessed with prior interviews. - big_picture_workflow: overview over the main process, referencing the other workflows as well as production and external services including manufacturing and quality assurance - quoting_workflow: overview over sales and quoting with quote creation and pricing - production_planning_workflow: overview over the production planning with production paths and lots, as well as needs and procurement - programming_workflow: overview over the programming workflow

pre-study

The pre-study we conducted to assess the quality of our interview questionnaires.

interviews

The interviews conducted.

inconsistencies

The inconsistencies found during the interviews, modeled with BPMN 2.0 and our proposed modeling method, escalation events.

system usability scale

The system usability scale we used to assess the usability of our modeling approach.

Cite this as

Kuder, Niklas Daniel, Weber, Thomas (2024). Dataset: Interview results, production workflows, inconsistencies in production workflows. https://doi.org/10.35097/YVtjSZhutJKPvdBi

DOI retrieved: 2024

Additional Info

Field Value
Imported on November 28, 2024
Last update November 28, 2024
License CC BY-SA 4.0 Attribution-ShareAlike
Source https://doi.org/10.35097/YVtjSZhutJKPvdBi
Author Kuder, Niklas Daniel
Given Name Niklas Daniel
Family Name Kuder
More Authors
Weber, Thomas
Source Creation 2024
Publishers
Karlsruhe Institute of Technology
Production Year 2023
Publication Year 2024
Subject Areas
Name: Computer Science