Work

Event-based Supply Chain Early Warning System for an Adaptive Production Control

Year: 2014

Type: article

Abstract: As a consequence of higher complexity, intra- and cross-company production and logistic processes become vulnerable to unforeseen disturbances. In this paper an Event-based Supply Chain Early Warning System is presented that facilitates real-time identification of critical events within the supply network by using event data. As a result, adaptive situational control of intra-company production processes is enabled. The benefits of this approach regarding logistic objectives are evaluated by using a discrete-event simulation based on a prototypical implementation of a cross-company production scenario.

Source: Procedia CIRP

DOI: 10.1016/j.procir.2014.04.076

Authors: E. Genc, N. Duffie, G. Reinhart

Institutions: Technical University of Munich, University of Wisconsin–Madison

Language: English

Topic: Supply Chain Resilience and Risk Management

Subfield: Strategy and Management

Field: Business, Management and Accounting

Domain: Social Sciences

SDG: Industry, innovation and infrastructure

Open Access status: diamond

Funders: Bayerische Forschungsstiftung, Bundesministerium für Wirtschaft und Technologie