scholarly journals A green chemistry-based classification model for the synthesis of silver nanoparticles

2015 ◽  
Vol 17 (5) ◽  
pp. 2825-2839 ◽  
Author(s):  
Marco Cinelli ◽  
Stuart R. Coles ◽  
Mallikarjuna N. Nadagouda ◽  
Jerzy Błaszczyński ◽  
Roman Słowiński ◽  
...  
Keyword(s):  
Silver Nanoparticles ◽  
Green Chemistry ◽  
Multiple Criteria ◽  
Classification Model ◽  
New Production ◽  
Multiple Criteria Decision Aiding ◽  
Decision Aiding ◽  
Production Processes

The Multiple Criteria Decision Aiding (MCDA) method allows the derivation of a model that can be used for classification of existing or new production processes for silver nanoparticles in preference-ordered classes on the basis of the principles of green chemistry.

Electre Tri-C, a multiple criteria decision aiding sorting model applied to assisted reproduction

2011 ◽  
Vol 80 (4) ◽  
pp. 262-273 ◽  
Author(s):  
J.R. Figueira ◽  
J. Almeida-Dias ◽  
S. Matias ◽  
B. Roy ◽  
M.J. Carvalho ◽  
...  
Keyword(s):  
Assisted Reproduction ◽  
Multiple Criteria ◽  
Multiple Criteria Decision Aiding ◽  
Decision Aiding ◽  
Electre Tri

Multi-criteria classification of spare parts inventories – a web based approach

2015 ◽  
Vol 21 (4) ◽  
pp. 456-477 ◽  
Author(s):  
S. P. Sarmah ◽  
U. C. Moharana
Keyword(s):  
Fuzzy Rule ◽  
Spare Parts ◽  
Multiple Criteria ◽  
Classification Model ◽  
Web Based ◽  
Rule Based ◽  
Content Type ◽  
Total Cost ◽  
Rule Based Approach

Purpose – The purpose of this paper is to present a fuzzy-rule-based model to classify spare parts inventories considering multiple criteria for better management of maintenance activities to overcome production down situation. Design/methodology/approach – Fuzzy-rule-based approach for multi-criteria decision making is used to classify the spare parts inventories. Total cost is computed for each group considering suitable inventory policies and compared with other existing models. Findings – Fuzzy-rule-based multi-criteria classification model provides better results as compared to aggregate scoring and traditional ABC classification. This model offers the flexibility for inventory management experts to provide their subjective inputs. Practical implications – The web-based model developed in this paper can be implemented in various industries such as manufacturing, chemical plants, and mining, etc., which deal with large number of spares. This method classifies the spares into three categories A, B and C considering multiple criteria and relationships among those criteria. The framework is flexible enough to add additional criteria and to modify fuzzy-rule-base at any point of time by the decision makers. This model can be easily integrated to any customized Enterprise Resource Planning applications. Originality/value – The value of this paper is in applying Fuzzy-rule-based approach for Multi-criteria Inventory Classification of spare parts. This rule-based approach considering multiple criteria is not very common in classification of spare parts inventories. Total cost comparison is made to compare the performance of proposed model with the traditional classifications and the result shows that proposed fuzzy-rule-based classification approach performs better than the traditional ABC and gives almost the same cost as aggregate scoring model. Hence, this method is valid and adds a new value to spare parts classification for better management decisions.

scholarly journals Criteria Interactions in Multiple Criteria Decision Aiding: A Choquet Formulation for the TODIM Method

2013 ◽  
Vol 17 ◽  
pp. 324-331 ◽  
Author(s):  
Luiz Flavio Autran Monteiro Gomes ◽  
Maria Augusta Soares Machado ◽  
Francisco Ferreira da Costa ◽  
Luis Alberto Duncan Rangel
Keyword(s):  
Multiple Criteria ◽  
Multiple Criteria Decision Aiding ◽  
Decision Aiding ◽  
Todim Method
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