This paper addresses a multi-objective mathematical model for the mixed-model two-sided assembly line balancing and worker assignment with different skills. In this problem, the operation time of each task is dependent on the skill of the worker. The following objective functions are considered in the mathematical model: (1) minimizing the number of mated-stations (2), minimizing the number of ...

In this study, an attempt has been made to apply Learning Vector Quantization (LVQ) approach, one of the network types of Artificial Neural Networks (ANN), into worker assignment problems for VCMS environment and analyze the network performance and effectiveness under different cell configurations and time periods. Worker assignment problems assume a crucial role in any type of manufacturing sy...

Spatial crowdsourcing has emerged as a new paradigm for solving problems in the physical world with the help of human workers. A major challenge in spatial crowdsourcing is to assign reliable workers to nearby tasks. The goal of such task assignment process is to maximize the task completion in the face of uncertainty. This process is further complicated when tasks arrivals are dynamic and work...

Quality improvement methods are essential to gathering high-quality crowdsourced data, both for research and industry applications. A popular broadly applicable method is task assignment that dynamically adjusts crowd workflow parameters. In this survey, we review address: heterogeneous assignment, question plurality problems in crowdsourcing. We discuss contrast how these estimate worker perfo...

Models in which employers learn about the productivity of young workers, such as Altonji and Pierret (2001), have two principal implications: First, the distribution of wages becomes more dispersed as a cohort of workers gains experience; second, the coe¢ cient on a variable that employers initially do not observe, such as the Armed Forces Quali…cation Test (AFQT) score, grows with experience. ...

Decision-making is a complex problem in all fields of production, because decision makers have to find the most suitable solution alternative among numerous, while limited by multiple, usually conflicting constraints. In Industry 4.0 era, one widely used production lines are U-shaped lines, which focus on elimination waste through high utilization workers. It means, that worker-machine assignme...

Distributed computing enables large-scale computation tasks to be processed by multiple workers in parallel. However, the randomness of communication and delays across causes straggler effect, which may degrade delay performance. Coded helps mitigate but amount redundant load task assignment should carefully optimized. In this work, we consider a multi-master heterogeneous-worker distrib...