Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | Proceedings of the Conference on Production Systems and Logistics: CPSL 2023 - 1 |
| Erscheinungsort | Hannover |
| Seiten | 229-238 |
| Seitenumfang | 10 |
| Publikationsstatus | Veröffentlicht - 2023 |
Publikationsreihe
| Name | Proceedings of the Conference on Production Systems and Logistics |
|---|
Abstract
As an interdisciplinary task, factory planning represents a key factor for logistics, supply chain and ultimately, the economic success of companies in the manufacturing sector. In factory planning projects, the focus is on the early planning phase, where costs and the associated misinvestments can still be significantly influenced. The challenge lies in the early valid dimensioning of the planned factory despite fuzzy data to provide decision-making support regarding the investment costs. In this context, this article presents the development of a digital service and planning tool based on a scientific procedure model. For this purpose, the research needs are first derived, reference is made to a scientific procedure model and the requirements analysis for the tool is presented. The tool developed on this basis aims to dimension and economically assess planned factories at an early planning stage. In this way, decision-makers in companies will be provided with data-based results to make future-oriented decisions between different project scenarios.
ASJC Scopus Sachgebiete
- Ingenieurwesen (insg.)
- Wirtschaftsingenieurwesen und Fertigungstechnik
- Ingenieurwesen (insg.)
- Maschinenbau
- Betriebswirtschaft, Management und Rechnungswesen (insg.)
- Technologie- und Innovationsmanagement
- Betriebswirtschaft, Management und Rechnungswesen (insg.)
- Strategie und Management
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- BibTex
- RIS
Proceedings of the Conference on Production Systems and Logistics: CPSL 2023 - 1. Hannover, 2023. S. 229-238 (Proceedings of the Conference on Production Systems and Logistics).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Development Of A Digital Planning Tool For Dimensioning And Investment Cost Calculation In An Early Factory Planning Phase
AU - Rieke, Leonard
AU - Cevirgen, Cihan
AU - Nyhuis, Peter
AU - Heinen, Tobias
N1 - Funding Information: The EU financially supports this research project (3-85108061). It is funded within the framework of the Lower Saxony Innovation Support Programme for Research and Development in Enterprises (NBank).
PY - 2023
Y1 - 2023
N2 - As an interdisciplinary task, factory planning represents a key factor for logistics, supply chain and ultimately, the economic success of companies in the manufacturing sector. In factory planning projects, the focus is on the early planning phase, where costs and the associated misinvestments can still be significantly influenced. The challenge lies in the early valid dimensioning of the planned factory despite fuzzy data to provide decision-making support regarding the investment costs. In this context, this article presents the development of a digital service and planning tool based on a scientific procedure model. For this purpose, the research needs are first derived, reference is made to a scientific procedure model and the requirements analysis for the tool is presented. The tool developed on this basis aims to dimension and economically assess planned factories at an early planning stage. In this way, decision-makers in companies will be provided with data-based results to make future-oriented decisions between different project scenarios.
AB - As an interdisciplinary task, factory planning represents a key factor for logistics, supply chain and ultimately, the economic success of companies in the manufacturing sector. In factory planning projects, the focus is on the early planning phase, where costs and the associated misinvestments can still be significantly influenced. The challenge lies in the early valid dimensioning of the planned factory despite fuzzy data to provide decision-making support regarding the investment costs. In this context, this article presents the development of a digital service and planning tool based on a scientific procedure model. For this purpose, the research needs are first derived, reference is made to a scientific procedure model and the requirements analysis for the tool is presented. The tool developed on this basis aims to dimension and economically assess planned factories at an early planning stage. In this way, decision-makers in companies will be provided with data-based results to make future-oriented decisions between different project scenarios.
KW - Digital planning tool
KW - dimensioning
KW - early planning phase
KW - factory planning
KW - feasibility study
KW - investment cost calculation
KW - uncertainty
UR - http://www.scopus.com/inward/record.url?scp=85164450008&partnerID=8YFLogxK
U2 - 10.15488/13442
DO - 10.15488/13442
M3 - Conference contribution
T3 - Proceedings of the Conference on Production Systems and Logistics
SP - 229
EP - 238
BT - Proceedings of the Conference on Production Systems and Logistics: CPSL 2023 - 1
CY - Hannover
ER -