Multicriteria decision analysis with fuzzy pairwise comparisons
Fuzzy Sets and Systems
Ranking fuzzy numbers with integral value
Fuzzy Sets and Systems
Computers and Industrial Engineering
Optimal operator assignment and cell loading when lot-splitting is allowed
ICC&IE Selected papers from the 22nd ICC&IE conference on Computers & industrial engineering
Computers and Industrial Engineering
Multiple attribute decision-making methods for the dynamic operator allocation problem
Mathematics and Computers in Simulation
Optimization of mixed-skill multi-line operator allocation problem
Computers and Industrial Engineering
A fuzzy extension of Saaty's priority theory
Fuzzy Sets and Systems
Selection of new production facilities with the Group Analytic Hierarchy Process Ordering method
Expert Systems with Applications: An International Journal
Using fuzzy AHP for evaluating the dimensions of data quality
International Journal of Business Information Systems
A fuzzy assessment framework to select among transportation investment projects in Turkey
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
A hybrid fuzzy group decision support framework for advanced-technology prioritization at NASA
Expert Systems with Applications: An International Journal
Multiple Criteria Inventory Classification Under Fuzzy Environment
International Journal of Fuzzy System Applications
Calibrated fuzzy AHP for current bank account selection
Expert Systems with Applications: An International Journal
Selection of Concrete Production Facility Location Integrating Fuzzy AHP with TOPSIS Method
International Journal of Productivity Management and Assessment Technologies
Hi-index | 12.06 |
The quality of operator allocation decision is largely dependent on the qualifications, experiences, knowledge, and performance of the allocated operator. However, in the operator management literature, most attention has been paid to determining the required number of operators in different operations, and the final allocation decision. Hence, this paper fills this gap by presenting a methodology for facilitating the pre-allocation decisions like evaluating operator's performance based on both qualitative and quantitative criteria, estimating the performance variability measures and determining the homogenous sets of operators with multiple skills. This methodology integrates a fuzzy AHP method, a max-min approach and a non-parametric statistical test. An actual application in a company of Turkey's electronic industry is also presented to prove the applicability of the method in a real life setting.