We discuss the application of economic coordination mechanisms to scheduling problems in manufacturing and logistics. We use job shop scheduling as a sample problem domain. We study economically augmented job shop problems (EJSP) which comprise valuation information. We demonstrate how instances of EJSP can be mapped to combinatorial job shop auction problems (CJSAP). A discussion of the tracta...

Grid is a collection of heterogeneous systems or heterogeneous objects that are geographically distributed over a network. Job management is one of the chaotic issues of grid environment. For effective utilization of the resources in grid systems, efficient application/job scheduling methods are required. Job scheduling algorithms are commonly applied by grid resource managers to optimally disp...

In this paper, we present a generic wrapper that enables the optimization of legacy codes assembled in application workflows on grid infrastructures. We first describe advantages of a service-based approach for job management. We then introduce our wrapper, that works at execution time, thus allowing service grouping strategies to optimize the execution. We demonstrate performance results on a ...

engagement. Additionally, we found meaningful mediation effects, such that positive associations of job resources with work engagement were significantly mediated through SOC use. These findings suggest that the application of successful aging strategies and enhanced job resources are conducive to engagement at work. Theoretical and practical implications regarding the joint effects of SOC stra...

In this report, we propose a new application for twitter data called job detection. We identify people’s job category based on their tweets. As a preliminary work, we limiteour task to identify only IT workers from other job holders. We have used and compared both simple bag of words model and a document representation based on Skip-gram model. Our results show that the model based on Skip-gram...

We describe the application of simulation and statistical analysis to the problem of optimization of palletization in a production job shop. These analyses enabled management responsible for the production of this job shop to optimize the number of pallets, the size (carrying capacity) of the pallets, the associated workin-process levels, and policy regarding level of safetystock kept on hand a...

Rapid development of the Internet of Things not only provides large amounts of data to the job-shop scheduling, but also proposes a great challenge for dynamic job shop scheduling. A dynamic job shop scheduling approach is proposed based on the data-driven genetic algorithm. Application examples suggest that this approach is correct, feasible and available. This approach can provide the technic...

This is an experimental study of the application of factor analysis to a new domain-the formation of job families. Correlations between jobs are computed from the formula based on the number of common elements between two variables and the job analyses provide £he basic data on the presence or absence of the elements. A firstorder general factor and four common factors are obtained in a small s...