TY - JOUR
T1 - Digital Value Stream Analysis and Evaluation for Data Farming Based Strategic Production Network Design
AU - Kroeger, Sebastian
AU - Jordan, Patrick
AU - Rafles, Alrisyadani
AU - Soellner, Christoph
AU - Zaeh, Michael F.
N1 - Publisher Copyright:
© 2024 The Authors.
PY - 2024
Y1 - 2024
N2 - Industrial companies are responsible for a significant portion of global trade, as they operate global and regional production networks. The value stream in production networks, comprising material and information flows between dispersed yet interconnected sites, is highly complex but crucial to manage in order to deliver the final product to the customer. In strategic network design, network planners face challenges in identifying an efficient value stream from the large solution space of possible alternatives and understanding the downstream effects of local planning decisions. Although data-driven Value Stream Mapping (VSM) is the state-of-the-art approach for analyzing and improving existing value streams, its application in strategic production network design faces the challenge of data scarcity. While simulation experiments can be used to generate datasets for multiple alternative value stream scenarios, a data-driven approach for analyzing and evaluating value streams that can serve as decision support for network planners is currently missing. To address this deficit, this article introduces a data-driven value stream analysis and evaluation approach that uses simulation data of multiple value stream scenarios in production networks. It incorporates a systematic, process mining-based analysis that utilizes visual analytics concepts to support decision-making in strategic network design, leading to an efficient value stream. The approach integrates the traditional steps of VSM, enhanced by process-based cost and sustainability evaluations, to provide a comprehensive understanding of cause-and-effect relationships. An industrial use case is presented to demonstrate the applicability of this approach.
AB - Industrial companies are responsible for a significant portion of global trade, as they operate global and regional production networks. The value stream in production networks, comprising material and information flows between dispersed yet interconnected sites, is highly complex but crucial to manage in order to deliver the final product to the customer. In strategic network design, network planners face challenges in identifying an efficient value stream from the large solution space of possible alternatives and understanding the downstream effects of local planning decisions. Although data-driven Value Stream Mapping (VSM) is the state-of-the-art approach for analyzing and improving existing value streams, its application in strategic production network design faces the challenge of data scarcity. While simulation experiments can be used to generate datasets for multiple alternative value stream scenarios, a data-driven approach for analyzing and evaluating value streams that can serve as decision support for network planners is currently missing. To address this deficit, this article introduces a data-driven value stream analysis and evaluation approach that uses simulation data of multiple value stream scenarios in production networks. It incorporates a systematic, process mining-based analysis that utilizes visual analytics concepts to support decision-making in strategic network design, leading to an efficient value stream. The approach integrates the traditional steps of VSM, enhanced by process-based cost and sustainability evaluations, to provide a comprehensive understanding of cause-and-effect relationships. An industrial use case is presented to demonstrate the applicability of this approach.
KW - process mining
KW - production networks
KW - strategic network design
KW - value stream analysis
UR - http://www.scopus.com/inward/record.url?scp=85213036769&partnerID=8YFLogxK
U2 - 10.1016/j.procir.2024.10.256
DO - 10.1016/j.procir.2024.10.256
M3 - Conference article
AN - SCOPUS:85213036769
SN - 2405-8971
VL - 58
SP - 1384
EP - 1392
JO - IFAC Proceedings Volumes (IFAC-PapersOnline)
JF - IFAC Proceedings Volumes (IFAC-PapersOnline)
IS - 27
T2 - 18th IFAC Workshop on Time Delay Systems, TDS 2024
Y2 - 2 October 2023 through 5 October 2023
ER -