An Intelligent Decision Support System for an Integrated Energy Aware Production-Distribution Model

Soulmaz Rahman Mohammadpour and Seyed Habib A. Rahmati ()
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Soulmaz Rahman Mohammadpour: Islamic Azad University
Seyed Habib A. Rahmati: Islamic Azad University

A chapter in Handbook of Smart Energy Systems, 2023, pp 1689-1708 from Springer

Abstract: Abstract Nowadays, the green aspect of sustainable development is being a global requirement. Words such as CO2 emission, zero waste, or energy consumption are repeated day in day out. Besides, intelligent or smart system development is also the chief concept of modern life. Meanwhile, different sources of pollution are driving the world into global warming and perhaps production and logistic systems are foremost among them. Developing intelligent systems alongside the global prohibiting laws and green altering or culture-making campaigns are the future expected ways of coping with this serious obstacle of humankind. This chapter focuses on introducing an intelligent decision support system (DSS) for controlling affairs of a complex production-distribution system (PDS) in which reducing CO2 emission and enhancing company economical profit are in conflict. Both aspects of manufacturing and vehicle logistic pollutions are modeled according to real coefficients and calculations of CO2 emission per electricity consumption (kg/kWh) and CO2 emission per fuel consumption (kg/L), respectively. The introduced smart DSS provides PDS owners with an if-then system in which they are capable of assessing different scenarios of planning to improve their environmental responsibility and profit simultaneously. These systems implement natural inspired intelligent modules to suggest solutions for different decisions of system owners in minimum time and without the need to real case try and error. Various analytical and experimental results are also provided to introduce the performance of the DSS and PDS systems more explicitly.

Keywords: Smart energy scheduling; Decision support system; Production-distribution; Intelligent optimization; CO2 emission reduction (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-97940-9_77

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DOI: 10.1007/978-3-030-97940-9_77

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