Distributed feedback control for production, inventory, and co2 emissions in an assemble-to-order system

Seok Gi Lee, Vittaldas Prabhu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

We study continuous variable feedback control of an assemble-to-order system with multiple components and multiple workstations to analyse interrelationships among the production system and corresponding CO2 emissions. The proposed dynamic models are designed by proportional and integral control laws, and represent assembly job arrivals along with the component consumption rates at each workstation for controlling finished-goods assembly schedule, and component production rate for controlling component stock levels, respectively. We also develop the unified feedback control algorithm whose objective is to minimize due date deviation from the customer-requested final assembly due date and component inventory discrepancy in respect to the optimum inventory level, simultaneously. Using numerical simulations, we show how dynamics between the inventory and production systems are interrelated, and resulting CO2 emission variation by the production system.

Original languageEnglish (US)
Title of host publicationStudies in Computational Intelligence
PublisherSpringer Verlag
Pages15-29
Number of pages15
Volume544
ISBN (Print)9783319047348
DOIs
StatePublished - 2014
Externally publishedYes

Publication series

NameStudies in Computational Intelligence
Volume544
ISSN (Print)1860949X

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Keywords

  • CO2 emissions
  • Continuous variable feedback control
  • Inventory control
  • Machine capacity
  • Production schedule

ASJC Scopus subject areas

  • Artificial Intelligence

Cite this

Lee, S. G., & Prabhu, V. (2014). Distributed feedback control for production, inventory, and co2 emissions in an assemble-to-order system. In Studies in Computational Intelligence (Vol. 544, pp. 15-29). (Studies in Computational Intelligence; Vol. 544). Springer Verlag. https://doi.org/10.1007/978-3-319-04735-5_2