An investigation into minimising total energy consumption and total weighted tardiness in job shops

Liu, Ying and Dong, Haibo and Lohse, Niels and Petrovic, Sanja and Gindy, Nabil (2014) An investigation into minimising total energy consumption and total weighted tardiness in job shops. Journal of Cleaner Production, 65 . pp. 87-96. ISSN 0959-6526

[img] PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Available under Licence Creative Commons Attribution.
Download (2MB)

Abstract

Manufacturing enterprises nowadays face the challenge of increasing energy prices and requirements to reduce their emissions. Most reported work on reducing manufacturing energy consumption today focuses on the need to improve the efficiency of resources (machines) largely ignoring the potential for energy reducing on the system-level where the operational method can be employed as the energy saving approach. The advantage is clearly that the scheduling and planning approach can also be applied across existing legacy systems and does not require large investment. Therefore, a multi-objective scheduling method is developed in this paper with reducing energy consumption as one of the objectives. This research focuses on classical job shop environment which is widely used in the manufacturing industry. A model for the bi-objectives problem that minimises total electricity consumption and total weighted tardiness is developed and the Non-dominant Sorting Genetic Algorithm is employed as the solution to obtain the Pareto front. A case study based on a modified 10 × 10 job shop is presented to show the effectiveness of the algorithm and to prove the feasibility of the model.

Item Type: Article
Keywords: Energy efficient production planning, Sustainable manufacturing, Job shop scheduling
Schools/Departments: University of Nottingham UK Campus > Faculty of Engineering
Depositing User: Chamberlain, Mr Dick
Date Deposited: 29 Apr 2014 09:57
Last Modified: 13 Sep 2016 16:38
URI: http://eprints.nottingham.ac.uk/id/eprint/3064

Actions (Archive Staff Only)

Edit View Edit View