Managing supply chain events to build senseand- respond capability

Rong Liu, Akhil Kumar, W. M.P. van der Aalst

Research output: Contribution to conferencePaperpeer-review


As supply chains become more dynamic, there is a need for a sense-and-respond capability to react to events in a real-time manner. In this paper, we propose Petri nets extended with time and color (for case data) as a formalism for doing so. Hence, we describe seven basic patterns that are used to capture modeling concepts that arise commonly in supply chains. These basic patterns may be used by themselves and also be combined to create new patterns. Next, we show how to use the patterns as building blocks to model a complete supply chain and analyze it using dependency graphs and simulation. Dependency graphs can be used to analyze the various events and their causes. Simulation was, in addition, used to analyze various performance indicators (e.g. fill rates, replenishment times, and lead times) under different supply chain strategies. We performed sensitivity analysis to study the effect of changing parameter values on the performance indicators. In the experiments, by cutting resolution time for production delays in half (strategy 1), we were able to increase order fill rate from 89% to 95%. Similarly, upon raising the probability of successful alternative sourcing (strategy 2) from 0.5 to 0.7 the order fill rate again increased from 89% to 95%. We show that by modeling timing and causality issues accurately, it is possible to improve supply chain performance.

Original languageEnglish (US)
Number of pages18
StatePublished - 2006
Event27th International Conference on Information Systems, ICIS 2006 - Milwaukee, WI, United States
Duration: Dec 10 2006Dec 13 2006


Other27th International Conference on Information Systems, ICIS 2006
Country/TerritoryUnited States
CityMilwaukee, WI

All Science Journal Classification (ASJC) codes

  • Information Systems


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