Supply chain data integration: A literature review

摘要: Abstract Supply chains (SCs) are dynamic networks subject to uncertainties and risks that may occur anywhere, anytime, whose consequences affect the entities comprise such SC, possibly affecting others. In fact, there several examples wherein occurrence of certain events resulted in considerable costs. Thus, it is important ensure SCs can apply preemptive measures, rather than just react disruptions occur. Simulation tools play an role achieving this, as these be used test alternative scenarios, well quantify impact risks. To fully exploit this possibility, simulation should data integration tools, so aforementioned analysis conducted using from relevant sources, thereby improving quality analysis. regard, paper proposes a Systematic Literature Review (SLR) methods deal with SCs, particular emphasis on type employed by works. The obtained results show researchers tend simplify problem at hand, without modeling their entire complexity, failing properly integrate involved processes. analyzed works’ compliance Industry 4.0 (I4.0) revealed similar conclusions, was found studies disregard some main features I4.0. light findings, literature gaps identified, future research directions proposed.