| Keyword search (4,163 papers available) | ![]() |
"Eicker U" Authored Publications:
| Title | Authors | PubMed ID | |
|---|---|---|---|
| 1 | Ten new insights in climate science 2024 | Schaeffer R; Schipper ELF; Ospina D; Mirazo P; Alencar A; Anvari M; Artaxo P; Biresselioglu ME; Blome T; Boeckmann M; Brink E; Broadgate W; Bustamante M; Cai W; Canadell JG; Cardinale R; Chidichimo MP; Ditlevsen P; Eicker U; Feron S; Fikru MG; Fuss S; Gaye AT; Gustafsson Ö; Harring N; He C; Hebden S; Heilemann A; Hirota M; Janardhanan N; Juhola S; Jung TY; Kejun J; Kilki? S; Kumarasinghe N; Lapola D; Lee JY; Levis C; Lusambili A; Maasakkers JD; MacIntosh C; Mahmood J; Mankin JS; Marchegiani P; Martin M; Muk | 40546753 PHYSICS |
| 2 | From data to action in flood forecasting leveraging graph neural networks and digital twin visualization | Roudbari NS; Punekar SR; Patterson Z; Eicker U; Poullis C; | 39127785 ENCS |
| 3 | Assessment of landfill gas storage and application regarding energy management: A case study in the province of Quebec, Canada | Malmir T; Héroux M; Lagos D; Eicker U; | 37659122 ENCS |
| 4 | Designing a multi-objective closed-loop supply chain: a two-stage stochastic programming, method applied to the garment industry in Montréal, Canada | Shafiee Roudbari E; Fatemi Ghomi SMT; Eicker U; | 36747987 ENCS |
| 5 | Using 3D CityGML for the Modeling of the Food Waste and Wastewater Generation-A Case Study for the City of Montreal | Braun R; Padsala R; Malmir T; Mohammadi S; Eicker U; | 34240049 ENCS |
| Title: | Designing a multi-objective closed-loop supply chain: a two-stage stochastic programming, method applied to the garment industry in Montréal, Canada | ||||
| Authors: | Shafiee Roudbari E, Fatemi Ghomi SMT, Eicker U | ||||
| Link: | https://pubmed.ncbi.nlm.nih.gov/36747987/ | ||||
| DOI: | 10.1007/s10668-023-02953-3 | ||||
| Publication: | Environment, development and sustainability | ||||
| Keywords: | Circular economy; Closed-loop supply chain; Garment industry; Multi-objective optimization; Stochastic programming; Sustainable network; | ||||
| PMID: | 36747987 | Category: | Date Added: | 2023-02-07 | |
| Dept Affiliation: |
ENCS
1 Department of Building, Civil and Environmental Engineering, Concordia University, Montreal, QC Canada. 2 Department of Industrial Engineering, Amirkabir University of Technology, Tehran, 1591634311 Iran. |
||||
Description: |
The global population continues to grow, which expands demand for raw materials. Meanwhile, governments are developing circular economy strategies within cities and their industries. A circular economy utilizes refurbishing, reusing, remanufacturing, and repairing of products and materials. For companies, this involves to set targets and to rethink their supply chain. This paper seeks to model an exhaustive multi-echelon closed-loop supply chain (CLSC) network. This network functions within uncertainty, and the model optimizes three different objectives. The first objective function maximizes the network's profit; the second objective function minimizes network emissions. The last objective function maximizes job positions created by the network. Optimizing three contradicting objectives is a problem, so an augmented epsilon constraint method is applied to improve the model. Given the rise of fast fashion in developed countries, this model is used in the clothing industry in Montreal, Canada. The model includes three scenarios over five years with two types of products. The result shows the attractiveness of such a network for companies looking for profit, sustainability, and entrepreneurship in the garment industry. |



