Development of an Intelligent Warehouse and Autonomously Controlled Intralogistics Scenario to Investigate the Mastering of Short-Term Turbulences at Werk150

6 Pages Posted: 9 Jun 2021

See all articles by Jan Schuhmacher

Jan Schuhmacher

Reutlingen University - ESB Business School

Vera Hummel

Reutlingen University - ESB Business School

Date Written: June 7, 2021

Abstract

Manufacturing companies are confronted with external (e.g. short-term change of product configuration by the customer) and internal (e.g. production process deviations) turbulences which are affecting the performance of production. Predefined, centrally controlled logistics processes are limiting the possibilities of production to initiate countermeasures to react in an optimized way to these turbulences. The autonomous control of intralogistics offers a great potential to cope with these turbulences by using the respective flexibility corridors of production systems and applying intelligent logistic objects with decentralized decision and process execution capabilities to maintain a target-optimized production. A method for AI-based storage-location- and material-handling-optimization to achieve performance-optimized intralogistics system through continuous monitoring of performance-relevant parameters and influencing factors by using AI (e.g. for pattern recognition) has been developed. To provide the basis to investigate and demonstrate the potentials of autonomously controlled intralogistics in connection with turbulences of production and in combination with AI, an intelligent warehouse involving an indoor localization system, smart bins, manual, semi-automated/collaborative and autonomous transport systems has been developed and implemented at Werk150, the factory on campus of ESB Business School (Reutlingen University). This scenario, which has been integrated into graduate training modules, allows the analysis and demonstration of different measures of intralogistics to cope with turbulences in production involving amongst others storage and material provision processes. The target fulfilment of the applied intralogistics measures to master arising turbulences is assessed based on the overall performance of production considering lead times and adherence to delivery dates. By applying artificial intelligence (AI) algorithms the intelligent logistical objects (smart bin, transport systems, etc.) as well as the entire logistics system should be enabled to improve their decision and process execution capabilities to master short-term turbulences in the production system autonomously.

Keywords: Turbulences; Learning Factory; Smart Warehouse; Smart Storage; Autonomous Control; Intralogistics; Flexibility

Suggested Citation

Schuhmacher, Jan and Hummel, Vera, Development of an Intelligent Warehouse and Autonomously Controlled Intralogistics Scenario to Investigate the Mastering of Short-Term Turbulences at Werk150 (June 7, 2021). Proceedings of the Conference on Learning Factories (CLF) 2021, Available at SSRN: https://ssrn.com/abstract=3861946 or http://dx.doi.org/10.2139/ssrn.3861946

Jan Schuhmacher (Contact Author)

Reutlingen University - ESB Business School ( email )

Reutlingen
Germany

Vera Hummel

Reutlingen University - ESB Business School ( email )

Alteburgstr. 150
Reutlingen, 72762
Germany

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
54
Abstract Views
313
rank
531,615
PlumX Metrics