Title |
Production planning of multi-stage multi-option seru production systems with sustainable measures |
ID_Doc |
70825 |
Authors |
Liu, CG; Dang, F; Li, WJ; Lian, J; Evans, S; Yin, Y |
Title |
Production planning of multi-stage multi-option seru production systems with sustainable measures |
Year |
2015 |
Published |
|
DOI |
10.1016/j.jclepro.2014.03.033 |
Abstract |
With the concerns over climate change and the escalation in worldwide population, sustainable development attracts more and more attention of academia, policy makers, and businesses in countries. Sustainable manufacturing is an inextricable measure to achieve sustainable development since manufacturing is one of the main energy consumers and greenhouse gas contributors. In the previous researches on production planning of manufacturing systems, environmental factor was rarely considered. This paper investigates the production planning problem under the performance measures of economy and environment with respect to seru production systems, a new manufacturing system praised as Double E (ecology and economy) in Japanese manufacturing industries. We propose a mathematical model with two objectives minimizing carbon dioxide emission and makespan for processing all product types by a seru production system. To solve this mathematical model, we develop an algorithm based on the non-dominated sorting genetic algorithm II. The computation results and analysis of three numeral examples confirm the effectiveness of our proposed algorithm. (C) 2014 Elsevier Ltd. All rights reserved. |
Author Keywords |
Sustainable manufacturing; Seru production; Operational decision-making; Non-dominated sorting genetic algorithm II |
Index Keywords |
Index Keywords |
Document Type |
Other |
Open Access |
Open Access |
Source |
Science Citation Index Expanded (SCI-EXPANDED) |
EID |
WOS:000359959200025 |
WoS Category |
Green & Sustainable Science & Technology; Engineering, Environmental; Environmental Sciences |
Research Area |
Science & Technology - Other Topics; Engineering; Environmental Sciences & Ecology |
PDF |
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