Thesis (Ph. D.)--University of Wisconsin--Madison, 1984. / Typescript. Vita. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (leaves 199-204).

The aim of the diploma thesis is to verify whether investment incentives are causing expected effect at job market of Czech Republic. The analysis is performed on the basis of data from the agency CzechInvest, the Czech Statistical Office, General Finance Directorate and Public register and Collection of documents. The analysis of approved investment projects showed that 99 % of companies were interested in the tax credit, 36 % of companies were interested in donation for training and retraining, 33 % of companies were interested in for creation of new jobs and in other variants of incentives firms were interested less than in 5 %. From comparison of estimated cumulative amount of the tax credit from investment projects with real tax relief based from tax returns was calculated that for the period 1999 - 2012 has been utilized only 26 % of cumulative expected tax deductions. Difficulties associated with the using of the tax credit are examined in the analysis of financial statements, where was analyzed company XYZ Ltd. and 11 other companies which were supported by investment incentives. The conclusion based at financial statement analysis explains that 45 % of analyzed companies had to face complications with using of investment incentives, which were mainly due to loss of income. Following the high interest of companies in a tax credit there is criticized the current definition of the law, where there is insufficient connection between amount of tax credit and creation of new jobs.

No description available.

The thesis deals with the active labour market policy in the Frýdek-Místek district, where is the problem of higher rates of unemployment and long-term unemployment. Active labour policy has an important role in solving the problem of unemployment in the region. The thesis describes the nature of the local labour market and assesses the active employment policy programs used in the years 2006 - 2010 in terms of their impact on employment and employability of participants. In particular, the thesis focuses on retraining, which is one of the most used tools of active employment policy, and monitors the creation of new jobs that directly affect the situation of individuals in the labour market. The thesis evaluates the targeting of retraining, which significantly affects their results. Using statistical data analysis methods are examined gross effects of retraining and monitored the effects of active employment policy to selected target groups of unemployed people.

A hierarchical control system is proposed for automated flexible manufacturing cells (FMC) that operate in a job shop flow setting. The control system is made up of a higher level scheduler/reactive scheduler, which optimizes the production flow within the cell, and a lower level supervisor that implements the decisions of the scheduler on the shop floor. Previous studies have regularly considered the production scheduling and the supervisory control as two separate problems. This has led to: i) deadlock-prone optimized schedules that cannot be implemented in an automated setting, ii) deadlock-free optimized schedules that lack the means to be transformed into shop floor supervisors, or iii) supervisors that can safely drive the system with no consideration for production performance. The proposed control system combines mathematical models and an insertion heuristic to solve the deadlock-free scheduling problem in job shops, a deadlock-free reactive scheduling heuristic that can revise the schedules upon the occurrence of a wide variety of disruptions, and a systematic procedure that can transform schedules into readily implementable Petri net (PN) supervisors. The integration of these modules into one control hierarchy guarantees a correct, optimized and agile behavior of the controlled system. The performances of the mathematical models, the scheduling and the reactive scheduling heuristics were evaluated by comparison to performances of previous approaches. Experimental results showed that the proposed modules performed consistently better than the other corresponding approaches. The supervisor realization procedure and the overall control architecture were validated by simulation and implementation in an experimental robotic FMC. The control system developed was capable of driving the experimental cell to satisfactorily complete the processing of different product mixes that featured complex processing routes through the cell.

A hierarchical control system is proposed for automated flexible manufacturing cells (FMC) that operate in a job shop flow setting. The control system is made up of a higher level scheduler/reactive scheduler, which optimizes the production flow within the cell, and a lower level supervisor that implements the decisions of the scheduler on the shop floor. Previous studies have regularly considered the production scheduling and the supervisory control as two separate problems. This has led to: i) deadlock-prone optimized schedules that cannot be implemented in an automated setting, ii) deadlock-free optimized schedules that lack the means to be transformed into shop floor supervisors, or iii) supervisors that can safely drive the system with no consideration for production performance. The proposed control system combines mathematical models and an insertion heuristic to solve the deadlock-free scheduling problem in job shops, a deadlock-free reactive scheduling heuristic that can revise the schedules upon the occurrence of a wide variety of disruptions, and a systematic procedure that can transform schedules into readily implementable Petri net (PN) supervisors. The integration of these modules into one control hierarchy guarantees a correct, optimized and agile behavior of the controlled system. The performances of the mathematical models, the scheduling and the reactive scheduling heuristics were evaluated by comparison to performances of previous approaches. Experimental results showed that the proposed modules performed consistently better than the other corresponding approaches. The supervisor realization procedure and the overall control architecture were validated by simulation and implementation in an experimental robotic FMC. The control system developed was capable of driving the experimental cell to satisfactorily complete the processing of different product mixes that featured complex processing routes through the cell.