Feasibility study of introducing product carbon footprint labelling in Hong Kong

2014 ◽  
Author(s):  
Shu-tim Chan
Keyword(s):  
Hong Kong ◽  
Feasibility Study ◽  
Carbon Footprint ◽  
Product Carbon Footprint

Flexible Job-Shop Scheduling for Reduced Manufacturing Carbon Footprint

2017 ◽  
Author(s):  
Qiong Liu ◽  
Youquan Tian ◽  
Chao Wang ◽  
Freddy O. Chekem ◽  
John W. Sutherland
Keyword(s):  
Carbon Footprint ◽  
Manufacturing System ◽  
Mixed Model ◽  
Job Shop ◽  
Job Shop Scheduling ◽  
Flexible Job Shop Scheduling ◽  
Carbon Footprints ◽  
Shop Scheduling ◽  
Product Carbon Footprint ◽  
Proposed Model

In order to help manufacturing companies quantify and reduce product carbon footprints in a mixed model manufacturing system, a product carbon footprint oriented multi-objective flexible job-shop scheduling optimization model is proposed. The production portion of the product carbon footprint, based on the mapping relations between products and the carbon emissions within the manufacturing system, is proposed to calculate the product carbon footprint in the mixed model manufacturing system. Non-Dominated Sorting Genetic Algorithm-II (NSGA-II) is adopted to solve the proposed model. In order to help decision makers to choose the most suitable solution from the Pareto set as its execution solution, a method based on grades of product carbon footprints is proposed. Finally, the efficacy of the proposed model and algorithm are examined via a case study.

Product carbon footprint of rye bread

2014 ◽  
Vol 82 ◽  
pp. 45-57 ◽  
Author(s):  
Jesper Kronborg Jensen ◽  
Jan Stentoft Arlbjørn
Keyword(s):  
Carbon Footprint ◽  
Product Carbon Footprint ◽  
Rye Bread
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