Using Data-Centric Platforms To Improve Demand Forecasting And Capacity Utilization For Less Digitized Multi-Site Quarrying Businesses
- The quarrying industry, which largely consists of less digitized SMEs, is an integral part of the German economy. More than 95% of the primary raw materials produced are used by the domestic construction industry. Quarrying companies operate demand-oriented with short planning horizons at several locations simultaneously. Due to the low level of digitization and the reluctance to share data, untapped efficiency potential in data-based demand forecasting and capacity planning arises. The situation is aggravated by the fact that SMEs have a heterogeneous mobile machinery so as not to become dependent on individual suppliers, and that transport distances of over 50 kilometers are uneconomical due to high transport costs and low material values. Within the research project PROmining a data-centric platform which improves demand forecast accuracy and multi-site capacity utilization is developed. One of the core functionalities of this platform is an industry-specific demand forecasting model. Against this background, this paper presents a methodology for establishing this forecasting model. To this end, expected demands of secondary industry sectors will be analyzed to improve mid-term volume-forecasting accuracy for the local quarrying industry. The data-centric platform will connect demand forecasting data with relevant key performance indicators of multi-site asset utilization. Following this methodology, operational planning horizons can be extended while significantly improving overall production efficiency. Thus, quarrying businesses are enabled to respond to fluctuating demand volumes effectively and can increase their personnel and machine utilization across multiple quarry sites.
Author: | John von Stamm, Jonas Müller, Gerrit Hoeborn, Julian Lassen, Volker StichORCiDGND |
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URL: | https://www.repo.uni-hannover.de/handle/123456789/13572 |
DOI: | https://doi.org/10.15488/13462 |
Parent Title (English): | Proceedings of the Conference on Production Systems and Logistics: CPSL 2023 |
Publisher: | publish-Ing. |
Place of publication: | Hannover |
Editor: | D. Herberger, M. Hübner, Volker Stich |
Document Type: | Conference Proceeding |
Language: | English |
Date of Publication (online): | 2023/05/03 |
Date of first Publication: | 2023/04/20 |
Release Date: | 2023/05/03 |
Tag: | rev Capacity Utilization; Data-Centric Platform; Demand Forecasting; Digitization of SMEs; Efficiency Improvement; Key Performance Indicators; Quarrying Industry |
First Page: | 438 |
Last Page: | 447 |
FIR-Number: | SV7681 |
Name of the conference: | 4th Conference on Production Systems and Logistics (CPSL) |
place of the conference: | Santiago de Queretaro, Mexico |
Date of the conference: | 28.02.2023-03.03.2023 |
Institute / Department: | FIR e. V. an der RWTH Aachen |
Business Transformation | |
Dewey Decimal Classification: | 6 Technik, Medizin, angewandte Wissenschaften / 62 Ingenieurwissenschaften |
Licence (German): | ![]() |