Jacobs University
School of Engineering and Science
Global Production Logistics
Campus Ring 1,
28759
Bremen,
Germany
Tel:
+49 421 200 3478,
Fax:
+49 421 200-3078
E-Mail
, Homepage
T1 - Automobile Logistics (new)
Prof. Dr.-Ing.
Katja
Windt
Motivation
The different approaches regarding autonomous control in logistics have in common that a higher achievement of the logistic targets should be realized by coping with complexity and dividing the planning task. This leads to a shift of the decision process to the autonomous acting logistic objects. To be able to perform a well-founded investigation an evaluation system is needed which fulfills the following requirements:
Objectives
The transfer project T1 is about investigating and evaluating methods of autonomous control in automobile logistics based on the concepts and methods for modeling, control and evaluation of logistic processes developed by the CRC 637. We focus on the comparison of rule-based and bounded rationality methods of autonomous control for a selected area in automobile logistics, which is represented by a car terminal. The evaluation of the single methods of autonomous control is conducted using the evaluation system for autonomous controlled logistic systems. This evaluation system offers the determination of the achievement of the logistic targets by taking into account the degree of complexity and the degree of autonomous control of the observed logistic system.
Approach
Results
The results from the simulation study show that autonomous control in logistics, if applied in a real life manufacturing or assembly scenario, can lead to an increased logistic target achievement. It could be revealed that different logistic scenarios require the implementation of distinguished autonomous control methods. This is also supported by the actual logistic target preference, e.g. short throughput times and high due date reliability vs. high utilization.
An important finding for companies is the fact that investments in technology and processes that enable autonomous control can be beneficial. However, a requirement for the successful implementation of autonomous control is the systematic documentation of processes and goals. This allows for the development of a tailor-made autonomous control strategy for the specific scenario.
Beside economic gains, there are also ecological benefits. The optimization of routes and travel times can reduce emissions and help improve the utilization of resources.
The different approaches regarding autonomous control in logistics have in common that a higher achievement of the logistic targets should be realized by coping with complexity and dividing the planning task. This leads to a shift of the decision process to the autonomous acting logistic objects. To be able to perform a well-founded investigation an evaluation system is needed which fulfills the following requirements:
- To determine the degree of complexity of a logistic system.
- To determine the degree of autonomous control of a logistic system.
- To measure the achievement of the logistic targets of a logistic system.
Objectives
The transfer project T1 is about investigating and evaluating methods of autonomous control in automobile logistics based on the concepts and methods for modeling, control and evaluation of logistic processes developed by the CRC 637. We focus on the comparison of rule-based and bounded rationality methods of autonomous control for a selected area in automobile logistics, which is represented by a car terminal. The evaluation of the single methods of autonomous control is conducted using the evaluation system for autonomous controlled logistic systems. This evaluation system offers the determination of the achievement of the logistic targets by taking into account the degree of complexity and the degree of autonomous control of the observed logistic system.
Approach
- Application of different rule-based and bounded rationality methods of autonomous control using the example of automobile logistics,
- evaluation of single methods of autonomous control by means of the evaluation system for autonomous controlled logistic processes,
- derivation of application areas of single methods of autonomous control for different degrees of complexity and autonomous control using the example of automobile logistics,
- validation and adaption of existing results in research regarding autonomous control methods (rule-based and bounded rationality) and the evaluation system (catalogue of criteria, complexity cube, measurement and control system).
Results
The results from the simulation study show that autonomous control in logistics, if applied in a real life manufacturing or assembly scenario, can lead to an increased logistic target achievement. It could be revealed that different logistic scenarios require the implementation of distinguished autonomous control methods. This is also supported by the actual logistic target preference, e.g. short throughput times and high due date reliability vs. high utilization.
An important finding for companies is the fact that investments in technology and processes that enable autonomous control can be beneficial. However, a requirement for the successful implementation of autonomous control is the systematic documentation of processes and goals. This allows for the development of a tailor-made autonomous control strategy for the specific scenario.
Beside economic gains, there are also ecological benefits. The optimization of routes and travel times can reduce emissions and help improve the utilization of resources.
Project Staff
