Details
| Original language | English |
|---|---|
| Pages (from-to) | 20328 - 20344 |
| Number of pages | 17 |
| Journal | IEEE ACCESS |
| Volume | 10 |
| Publication status | Published - 26 Jan 2022 |
Abstract
Providers of maintenance, repair and overhaul (MRO) services for complex capital goods, such as aircraft engines, which are indispensable for the customers to perform their services, are facing increasing market dynamics as well as constantly growing, diversifying customer requirements. The ability to achieve (the required) high logistics performance is greatly determined by a suitable production configuration. From the strategic definition of goals to the design of suitable supply chain structures as well as planning, controlling and monitoring mechanisms, a multitude of interdependent configuration decisions must be made on different organisational levels at various points in time. At the same time, numerous internal and external influencing variables must be taken into account, observed and continuously examined for configuration-relevant changes. If necessary, suitable reconfiguration measures must be initiated. This article presents an approach to production configuration based on logistics modelling. To handle the multitude of effects and interactions they are translated into a framework for efficient and sustainable production configuration. It consists of four successive levels for the initial configuration as well as an additional module for long-term production configuration monitoring. It serves to review pre-existing configurations in the context of reorganisation projects and enables the target-oriented configuration of internal supply chains.
Keywords
- MRO, Maintenance engineering, Mathematical models, Process control, Production, Production Configuration, Production Planning and Control, Production planning, Reference Modelling, Supply Chain Management, Supply chains, Throughput
ASJC Scopus subject areas
- Computer Science(all)
- General Computer Science
- Materials Science(all)
- General Materials Science
- Engineering(all)
- General Engineering
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In: IEEE ACCESS, Vol. 10, 26.01.2022, p. 20328 - 20344.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Logistics-oriented Production Configuration Using the Example of MRO Service Providers
AU - Mütze, Alexander
AU - Lucht, Torben
AU - Nyhuis, Peter
N1 - Funding Information: Funded by Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) ``Systematic analysis of the effect of production planning and control processes on logistical objectives'' - 434659386
PY - 2022/1/26
Y1 - 2022/1/26
N2 - Providers of maintenance, repair and overhaul (MRO) services for complex capital goods, such as aircraft engines, which are indispensable for the customers to perform their services, are facing increasing market dynamics as well as constantly growing, diversifying customer requirements. The ability to achieve (the required) high logistics performance is greatly determined by a suitable production configuration. From the strategic definition of goals to the design of suitable supply chain structures as well as planning, controlling and monitoring mechanisms, a multitude of interdependent configuration decisions must be made on different organisational levels at various points in time. At the same time, numerous internal and external influencing variables must be taken into account, observed and continuously examined for configuration-relevant changes. If necessary, suitable reconfiguration measures must be initiated. This article presents an approach to production configuration based on logistics modelling. To handle the multitude of effects and interactions they are translated into a framework for efficient and sustainable production configuration. It consists of four successive levels for the initial configuration as well as an additional module for long-term production configuration monitoring. It serves to review pre-existing configurations in the context of reorganisation projects and enables the target-oriented configuration of internal supply chains.
AB - Providers of maintenance, repair and overhaul (MRO) services for complex capital goods, such as aircraft engines, which are indispensable for the customers to perform their services, are facing increasing market dynamics as well as constantly growing, diversifying customer requirements. The ability to achieve (the required) high logistics performance is greatly determined by a suitable production configuration. From the strategic definition of goals to the design of suitable supply chain structures as well as planning, controlling and monitoring mechanisms, a multitude of interdependent configuration decisions must be made on different organisational levels at various points in time. At the same time, numerous internal and external influencing variables must be taken into account, observed and continuously examined for configuration-relevant changes. If necessary, suitable reconfiguration measures must be initiated. This article presents an approach to production configuration based on logistics modelling. To handle the multitude of effects and interactions they are translated into a framework for efficient and sustainable production configuration. It consists of four successive levels for the initial configuration as well as an additional module for long-term production configuration monitoring. It serves to review pre-existing configurations in the context of reorganisation projects and enables the target-oriented configuration of internal supply chains.
KW - MRO
KW - Maintenance engineering
KW - Mathematical models
KW - Process control
KW - Production
KW - Production Configuration
KW - Production Planning and Control
KW - Production planning
KW - Reference Modelling
KW - Supply Chain Management
KW - Supply chains
KW - Throughput
UR - http://www.scopus.com/inward/record.url?scp=85123726849&partnerID=8YFLogxK
U2 - 10.1109/ACCESS.2022.3146420
DO - 10.1109/ACCESS.2022.3146420
M3 - Article
VL - 10
SP - 20328
EP - 20344
JO - IEEE ACCESS
JF - IEEE ACCESS
SN - 2169-3536
ER -