TY  - CHAP
A1  - Luft, Angela
A1  - Gebhardt, Andreas
A1  - Balc, Nicolae
T1  - Challenges of additive manufacturing in production systems
T2  - Modern technologies in manufacturing (MTeM 2019)
Y1  - 2019
U6  - http://dx.doi.org/10.1051/matecconf/201929901003
N1  - MATEC Web of Conferences 299; MTeM 2019
VL  - 299
IS  - Article 01003
ER  - 
TY  - JOUR
A1  - Luft, Angela
A1  - Bremen, Sebastian
A1  - Luft, Nils
T1  - A cost/benefit and flexibility evaluation framework for additive technologies in strategic factory planning
JF  - Processes
N2  - There is a growing demand for more flexibility in manufacturing to counter the volatility and unpredictability of the markets and provide more individualization for customers. However, the design and implementation of flexibility within manufacturing systems are costly and only economically viable if applicable to actual demand fluctuations. To this end, companies are considering additive manufacturing (AM) to make production more flexible. This paper develops a conceptual model for the impact quantification of AM on volume and mix flexibility within production systems in the early stages of the factory-planning process. Together with the model, an application guideline is presented to help planners with the flexibility quantification and the factory design process. Following the development of the model and guideline, a case study is presented to indicate the potential impact additive technologies can have on manufacturing flexibility Within the case study, various scenarios with different production system configurations and production programs are analyzed, and the impact of the additive technologies on volume and mix flexibility is calculated. This work will allow factory planners to determine the potential impacts of AM on manufacturing flexibility in an early planning stage and design their production systems accordingly.
KW  - additive manufacturing
KW  - factory planning
KW  - manufacturing flexibility
KW  - volume flexibility
KW  - mix flexibility
Y1  - 2023
U6  - http://dx.doi.org/10.3390/pr11071968
SN  - 2227-9717
VL  - 11
IS  - 7
PB  - MDPI
CY  - Basel
ER  - 
TY  - JOUR
A1  - Luft, Angela
A1  - Luft, Nils
A1  - Arntz, Kristian
T1  - A basic description logic for service-oriented architecture in factory planning and operational control in the age of industry 4.0
JF  - Applied Sciences
N2  - Manufacturing companies across multiple industries face an increasingly dynamic and unpredictable environment. This development can be seen on both the market and supply side. To respond to these challenges, manufacturing companies must implement smart manufacturing systems and become more flexible and agile. The flexibility in operational planning regarding the scheduling and sequencing of customer orders needs to be increased and new structures must be implemented in manufacturing systems’ fundamental design as they constitute much of the operational flexibility available. To this end, smart and more flexible solutions for production planning and control (PPC) are developed. However, scheduling or sequencing is often only considered isolated in a predefined stable environment. Moreover, their orientation on the fundamental logic of the existing IT solutions and their applicability in a dynamic environment is limited. This paper presents a conceptual model for a task-based description logic that can be applied to factory planning, technology planning, and operational control. By using service-oriented architectures, the goal is to generate smart manufacturing systems. The logic is designed to allow for easy and automated maintenance. It is compatible with the existing resource and process allocation logic across operational and strategic factory and production planning.
KW  - manufacturing data model
KW  - production planning and control
KW  - manufacturing flexibility
KW  - technology planning
KW  - SOA
KW  - service-oriented architectures
KW  - factory planning
Y1  - 2023
U6  - http://dx.doi.org/10.3390/app13137610
N1  - This article belongs to the Special Issue "Smart Industrial System"
VL  - 2023
IS  - 13
PB  - MDPI
CY  - Basel
ER  -