Line balancing problems consist on assigning tasks to stations and/or workers in a restricted way. Most models deal with simple versions of this problem not taking into account real world restrictions. In this paper we present a new re-balancing model that takes into account assignment restrictions and builds the variable sets in a more efficient way. The model also takes into consideration wor...

MapReduce has become a popular paradigm for large scale data processing in the cloud. The sheer scale of MapReduce deployments make task assignment in MapReduce an interesting problem. The scale of MapReduce applications presents unique opportunity to use data driven algorithms in resource management. We present a learning based scheduler that uses pattern classification for utilization oriente...

We extend the classic sequential stochastic assignment problem to include arrivals of workers. When workers are all of the same type, we show that the socially optimal policy is the same as the individually optimal policy where workers are given priority according to LCFS. This result also holds under several variants in the model assumptions. When workers have different types, we show that the...

In order to cope with the frequent unpredictable changes that may occur in manufacturing systems, and to optimize given performance criteria, the assignment of workers can be decided online in a dynamic manner, whenever the worker is released. Several studies, in the ergonomics literature, have shown that individuals' performances decrease because of their fatigue in work. In manufacturing cont...

in this paper we present the problem of designing a three level hub center network. in our network, the top level consists of a complete network where a direct link is between all central hubs.  the second and third levels consist of star networks that connect the hubs to central hubs and the demand nodes to hubs and thus to central hubs, respectively. we model this problem in an incomplete net...

The fleet assignment problem (FAP) assigns the type of airplane at each flight segment. Since airplane is an expensive resource, poor fleet assignment can cause a great increase in costs of airlines. There are so many consideration which should be tackled in formulation of a FAP problem, especially the parameters regarding to the airplanes. This paper presents a novel, mixed integer programing ...

Seru production is one of the latest manufacturing modes arising from Japanese practice. Seru can achieve efficiency, flexibility, and responsiveness simultaneously. To accommodate current business environment with volatile demands fierce competitions, seru has attracted more attention both researchers practitioners. A new planning management sy...

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...