Ergonomic Criteria Based Material Handling Equipment Selection

2021 ◽  
pp. 287-303
Author(s):  
Burak Efe
Keyword(s):  
Cycle Time ◽  
Fuzzy Number ◽  
Material Handling ◽  
Fuzzy Topsis ◽  
Membership Degree ◽  
Material Handling Equipment ◽  
Transportation Equipment ◽  
Interval Type

Material handling refers to the processes of loading materials onto a material handling equipment, moving from one location to another location with the help of material handling equipment, and unloading the material from the transportation equipment to the relevant location. Non-ergonomic material handling equipment for the employee causes the increment of cycle time that does not add value to the product during transportation within the enterprise. The increase in cycle time causes an increase in fatigue and inefficiency in the employee. This study evaluates five material handling equipment based on eight ergonomic criteria by using interval type-2 fuzzy TOPSIS method. Interval type-2 fuzzy number provides to examine the fuzziness and the uncertainty more accurately than type-1 fuzzy number, which handles only one crisp membership degree. The opinions of experts are aggregated by employing interval type-2 fuzzy number operators.

An interval type-2 hesitant fuzzy best-worst method

2021 ◽  
pp. 1-28
Author(s):  
Ashraf Norouzi ◽  
Hossein Razavi hajiagha
Keyword(s):  
Decision Making ◽  
Fuzzy Sets ◽  
Group Decision Making ◽  
Group Decision ◽  
Fuzzy Ahp ◽  
Uncertain Data ◽  
Interval Type ◽  
Best Worst Method

Multi criteria decision-making problems are usually encounter implicit, vague and uncertain data. Interval type-2 fuzzy sets (IT2FS) are widely used to develop various MCDM techniques especially for cases with uncertain linguistic approximation. However, there are few researches that extend IT2FS-based MCDM techniques into qualitative and group decision-making environment. The present study aims to adopt a combination of hesitant and interval type-2 fuzzy sets to develop an extension of Best-Worst method (BWM). The proposed approach provides a flexible and convenient way to depict the experts’ hesitant opinions especially in group decision-making context through a straightforward procedure. The proposed approach is called IT2HF-BWM. Some numerical case studies from literature have been used to provide illustrations about the feasibility and effectiveness of our proposed approach. Besides, a comparative analysis with an interval type-2 fuzzy AHP is carried out to evaluate the results of our proposed approach. In each case, the consistency ratio was calculated to determine the reliability of results. The findings imply that the proposed approach not only provides acceptable results but also outperforms the traditional BWM and its type-1 fuzzy extension.

scholarly journals Design of Type-1 and Interval Type-2 Fuzzy PID Control for Anesthesia Using Genetic Algorithms

2014 ◽  
Vol 06 (02) ◽  
pp. 70-93 ◽  
Author(s):  
Hugo Araujo ◽  
Bo Xiao ◽  
Chuang Liu ◽  
Yanbin Zhao ◽  
H. K. Lam
Keyword(s):  
Genetic Algorithms ◽  
Pid Control ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Interval Type

scholarly journals An Integrated Best-Worst and Interval Type-2 Fuzzy TOPSIS Methodology for Green Supplier Selection

Mathematics ◽  
2019 ◽  
Vol 7 (2) ◽  
pp. 182 ◽  
Author(s):  
Melih Yucesan ◽  
Suleyman Mete ◽  
Faruk Serin ◽  
Erkan Celik ◽  
Muhammet Gul
Keyword(s):  
Decision Making ◽  
Supplier Selection ◽  
Fuzzy Topsis ◽  
Future Research ◽  
Negative Effects ◽  
Green Supplier Selection ◽  
Managerial Implications ◽  
Interval Type

Supplier selection is one of the most important multi-criteria decision-making (MCDM) problems for decision-makers in the competitive market. Today’s organizations are seeking new ways to reduce the negative effects they have on the environment and to achieve a greener system. Currently, the concept of green supplier selection has gained great importance for its ability to incorporate environmental or green criteria into classical supplier selection practices. Therefore, in this study, a multi-phase MCDM model based on the best-worst method (BWM) and the interval type-2 fuzzy technique for order preference by similarity to ideal solution (IT2F TOPSIS) is proposed. A case study in a plastic injection molding facility in Turkey was carried out to show the applicability of the proposed integrated methodology. The paper offers insights into decision-making, methodology, and managerial implications. Results of the case study are examined and suggestions for future research are provided.

Sign in / Sign up

Export Citation Format

Share Document