Integrating production control and scheduling in multi-site enterprises based on real-time detection of divergence

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dc.contributor.author Rathi, Preeti
dc.contributor.author Bhumireddy, Shanmukha Manoj
dc.contributor.author Nandola, Naresh
dc.contributor.author Harjunkoski, Iiro
dc.contributor.author Srinivasan, Rajagopalan
dc.date.accessioned 2016-05-21T12:08:56Z
dc.date.available 2016-05-21T12:08:56Z
dc.date.issued 2016-04
dc.identifier.citation Rathi, Preeti; Bhumireddy, Shanmukha Manoj; Nandola, Naresh; Harjunkoski, Iiro and Srinivasan, Rajagopalan, “Integrating production control and scheduling in multi-site enterprises based on real-time detection of divergence”, Industrial & Engineering Chemistry Research, DOI: 10.1021/acs.iecr.5b04626, vol. 55, no. 19, pp. 5681-5695, Apr. 2016.
dc.identifier.issn 0888-5885
dc.identifier.uri http://dx.doi.org/10.1021/acs.iecr.5b04626
dc.identifier.uri https://repository.iitgn.ac.in/handle/123456789/2272
dc.description.abstract Scheduling and process control have been long recognized as the two critical building blocks in many manufacturing execution systems. Operating at the interface between the supply chain and the process, the scheduler generates a detailed schedule that has to be executed by the process so as to meet the demands originating from the supply chain. Given the tight interactions between the two, there has been wide interest in integrating scheduling and process control. Our key insight is that abnormalities which occur after generation of the original schedule trigger a divergence between the operational targets defined by the schedule and its execution. If left uncorrected, then the abnormalities will propagate between the process and the supply chain. A timely response could eliminate or minimize such effects. However, this is a challenge particularly in large multisite enterprises where the scheduling and production responsibilities are typically separated across departments and even across geographical locations. Recognizing this, we propose a novel, scalable framework for integrating scheduling and process control that detects in real time when a divergence occurs between the original schedule and its execution in the process. It then identifies the root-cause(s) of the divergence, i.e., the abnormality, and triggers a suitable response from the scheduler and the process so as to nullify or minimize its effect. In this paper, we will describe the proposed approach and illustrate it using two industrially motivated case studies. en_US
dc.description.statementofresponsibility by Preeti Rathi, Shanmukha Manoj Bhumireddy, Naresh Nandola, Iiro Harjunkoski and Rajagopalan Srinivasan
dc.format.extent Vol. 55, no. 19, pp. 5681–5695
dc.language.iso en en_US
dc.publisher American Chemical Society en_US
dc.title Integrating production control and scheduling in multi-site enterprises based on real-time detection of divergence en_US
dc.type Article en_US
dc.relation.journal Industrial & Engineering Chemistry Research


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