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Energy consumption optimization for sustainable flexible robotic cells: Proposing exact and metaheuristic methods

Ghadiri Nejad, Mazyar, Vatankhah Barenji, Reza, Güleryüz, Güldal, Shavarani, Seyed Mahdi (2023) Energy consumption optimization for sustainable flexible robotic cells: Proposing exact and metaheuristic methods. Energy & Environment, . ISSN 0958-305X. E-ISSN 2048-4070. (doi:10.1177/0958305X231193868) (KAR id:102959)


Many manufacturing companies are always looking for a way to reduce energy consumption by utilizing energy-efficient production methods. These methods can be different depending on the type of products and production technology. For instance, one of the ways to increase energy efficiency and keep the precision of production is to use robots for the transportation of the parts among the machines and loading/unloading the machines. This technology is affordable compared to the technologies used in manufacturing companies. Manufacturing companies that rely on robotics technology must have a strategy to reduce energy costs and at the same time increase production by adjusting the intensity of processing or controlling the production rate. This study presents an exact solution method for flexible robotic cells to control the production rate and minimize energy consumption, which aims to both reduce electricity prices and minimize greenhouse gas (GHG) emissions under a lead time of production. Then, considering the NP-hardens nature of the problem, a heuristic solution method based on the genetic algorithm (GA) is proposed. Using the proposed approach, manufacturing companies will be able to make more accurate decisions about processing intensity and process scheduling while ensuring sustainability.

Item Type: Article
DOI/Identification number: 10.1177/0958305X231193868
Uncontrolled keywords: Flexible robotic cell, sustainability, energy-efficient scheduling, genetic algorithm
Subjects: Q Science > Operations Research - Theory
Divisions: Divisions > Kent Business School - Division > Department of Marketing, Entrepreneurship and International Business
Funders: University of Kent (
Depositing User: Mahdi Shavarani
Date Deposited: 26 Sep 2023 11:36 UTC
Last Modified: 13 Oct 2023 15:19 UTC
Resource URI: (The current URI for this page, for reference purposes)

University of Kent Author Information

Shavarani, Seyed Mahdi.

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