Cross-Company Routing Planning: Determining Value Chains in a Dynamic Production Network Through a Decentralized Approach

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Markert, J.; Saubke, D.; Krenz, P.; Hotz, L.: Cross-Company Routing Planning: Determining Value Chains in a Dynamic Production Network Through a Decentralized Approach. In: Herberger, D.; Hübner, M. (Eds.): Proceedings of the Conference on Production Systems and Logistics: CPSL 2022. Hannover : publish-Ing., 2022, S. 277-286. DOI:

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Sum total of downloads: 148

Demand-based, local production will gain relevance in the context of sustainability and circular economy. One way to implement local value creation is through establishing highly dynamic networks that consolidate the competencies of regional manufacturers. Consequently, the structure of the value chains needs to be determined ad hoc dependent on demand. This is a rather challenging task due to the dynamics within such networks and the flat hierarchies. Traditionally, value chains are defined and controlled in a centralized form by a lead firm or a separate stakeholder (e.g. Intermediary, Broker). However, to accommodate the dynamics of demand and the increasing complexity of products, we propose a decentralized form of coordination. The basic idea is to upscale Routing Planning, used in Process Planning, to a network level. Meaning instead of a centralized instance within a company defining the production steps, the stakeholders will collaboratively determine the cross-company Routing Plan, effectively building the value chain. Thus, the accumulated experience and knowledge of all stakeholders can be utilized to efficiently fulfil current customer demand, since the value chain will be executed by the same stakeholders that created it. But in order to coordinate the sequencing of operations by multiple stakeholders, suitable methods need to be implemented. We look at a strategy to facilitate such a collaboration between companies and demonstrate one possible technical implementation based on AI planning using Planning Domain Definition Language (PDDL).
License of this version: CC BY 3.0 DE
Document Type: BookPart
Publishing status: publishedVersion
Issue Date: 2022
Appears in Collections:Proceedings CPSL 2022

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pos. country downloads
total perc.
1 image of flag of Germany Germany 100 67.57%
2 image of flag of United States United States 16 10.81%
3 image of flag of China China 5 3.38%
4 image of flag of No geo information available No geo information available 4 2.70%
5 image of flag of Italy Italy 3 2.03%
6 image of flag of Korea, Republic of Korea, Republic of 2 1.35%
7 image of flag of India India 2 1.35%
8 image of flag of Israel Israel 2 1.35%
9 image of flag of United Kingdom United Kingdom 2 1.35%
10 image of flag of Spain Spain 1 0.68%
    other countries 11 7.43%

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