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Schanzenberger, Anja
Languages: English
Types: Doctoral thesis
Subjects:
This research project introduces a new type of information system, the periodic data production management system, and proposes several innovative system design concepts for this application area.\ud Periodic data production systems are common in the information industry for the production of information. These systems process large quantities of data in order to produce statistical reports in predefined intervals. The workflow of such a system is typically distributed world-wide and consists of several semi-computerized production steps which transform data packages. For example, market research companies apply these systems in order to sell marketing information over specified timelines. production of information. These systems process large quantities of data in order to produce statistical reports in predefined intervals. The workflow of such a system is typically distributed world-wide and consists of several semi-computerized production steps which transform data packages. For example, market research companies apply these systems in order to sell marketing information over specified timelines.\ud There has been identified a lack of concepts for IT-aided management in this area. This thesis clearly defines the complex requirements of periodic data production management systems. It is shown that these systems can be defines as IT-support for planning, monitoring and controlling periodic data production processes. Their significant advantages are that information industry will be enabled to increase production performance, and to ease (and speed up) the identification of the production progress as well as the achievable optimisation potential in order to control rationalisation goals. In addition, this thesis provides solutions for he generic problem how to introduce such a management system on top of an unchangeable periodic data production system.\ud Two promising system designs for periodic data production management are derived, analysed and compared in order to gain knowledge about appropriate concepts and this application area. Production planning systems are the metaphor models used for the so-called closely coupled approach. The metaphor model for the loosely coupled \ud approach is project management. The latter approach is prototyped as an application in the market research industry and used as case study. Evaluation results are real-world \ud experiences which demonstrate the extraordinary efficiency of systems based on the loosely coupled approach. Special is a scenario-based evaluation that accurately demonstrates the many improvements achievable with this approach. Main results are that production planning and process quality can vitally be improved. Finally, among other propositions, it is suggested to concentrate future work on the development of product lines for periodic data production management systems in order to increase their reuse.
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    • Chapter 1 ...................................................................................
    • 1.1 Introduction ...................................... " ...................... '" ....
    • 1.2 The business problem of periodic data production management. . .. . .. 1.2.1 ~xam~le of a p~rio~c data production system In the Infonnatlon Industry ............................................... 1.2.2 Problems of former periodic data production management on the example ......... , ................ " ................... " .. , . .. . .. . ...
    • 1.3 Specification of this research project ...... , ................ " ...... , .. ... . . 1.3.1 Scope........................................................................ 1.3.2 Researchaims.............................................................. 1.3.3 Research issues............................................................ 1.3.4 Contribution..... ......... ..... ....... ......... ... ........ .... .............. 1.3.5 Research methodology....................................................
    • 1.4 Outline of thesis structure....................................................
    • 1.5 Chapter summary. . .. . .. . .. . ... .. . .. . .. ... ... . .. . .. . .. ... . .. . ... . . ... . .. . . .. ...
    • Chapter 2 ..... ..................................... ........... .................................
    • 2.1 Introduction ........................................... '" . .. . ..... .... ... ... .....
    • 2.2 Motivation for research into periodic data production mmagement.... 2.2.1 Goods production used as metaphor for periodic data production.. 2.2.2 Periodic data production........ ......... ........... ...... .......... ....... 2.2.3 Goods production management used as metaphor for periodic data production management.... '" .. .... ...... ..... ... . ... 2.2.4 Periodic data productbn management...................................
    • 2.3 Analysis of periodic data production management......................... 2.3.1 Functional requirements................................................... 2.3.2 Challenges and business goals ........................................... 2.3.3 The comerstones............................................................ 2.3.4 The most relevant key performan::e indicators.......... ...... ........
    • 2.4 Chapter summary ..................... , ................................. '" . ... .
    • Chapter 3 . ... . .. . .. . .. ... . .. . ... .. ... . .. . .. ... ... . .. . ... .. . .. . .. . .. . .. . .. . ..
    • 3.1 Introdl£tion .....................................................................
    • 3.2 Identifying research areas of interest in literature ......................... 3.2.1 Taxonomy of the single model approaches ............................. 3.2.2 Production planning systems.............................................. 3.2.3 Scheduling systems......................................................... 3.2.4 Workflow mamgement systems.......................................... 3.2.5 Exception reporting......................................................... 3.2.6 Monitoring systems......................................................... Multi agent systems .............. '" ................. '" ... ...... ... .... .... Project management.........................................................
    • Chapter 4 .............. " ....................... , . . . . . . . .. . .. . .. . .. . . . . .. . .
    • 4.1 Introdl£tion .....................................................................
    • 4.2 Discussion of the single model approaches.. ........... ............ ........ 4.2.1 Production planning systems.... ................ ........ ...... ............ 4.2.2 Scheduling systems......................................................... 4.2.3 Workflow mamgement systems.......................................... 4.2.4 Exception reporting. ........................................................ 4.2.5 Monitoring systems.. ... ..... . .. . .. ... .... .. . ... ...... .. . ... .. . ... ... .. . .. .. 4.2.6 Multi agent systems......................................................... 4.2.7 Project management.........................................................
    • 4.3 Discussi:>n of the combined model approaches.............................
    • 4.4 Issues in periodic data production management that are not covered in literature........................................................................
    • 4.5 Discussion of the research issues..............................................
    • 4.6 Chapter summary........................................ ........................
    • Chapter 5 ..................................................................
    • 5.1 Introduction.......................................................................
    • 5.2 System design concepts for periodic data production management...... 5.2.1 Common concepts of the relevant candidate approaches............... 5.2.2 Closely coupled approach.......................... ......................... 5.2.3 Loosely coupled approach. . ........ ......... ... .... ... ... ... ... ... ...... .... 5.2.4 Comparison of the closely and loosely coupled system design concepts.................. , ............. " . .. . .. . .. . . . . .. . . . . .
    • 5.3 The generic problems solved with the proposed concepts.......................
    • 5.4 Chapter summary .......................... " .... ... .. ... . .. . .. ... .......... .....
    • Chapter 6 ................ .... ........ .... ......... ... .............. ... .....
    • 6.1 Introduction ........................................ ·.............................
    • 6.2 Reasons for using the loosely coupled approach...........................
    • 6.3 Detailed concept of the loosely coupled prototype................. ........ 6.3.1 Integration of periodic data production management into the environment ...................................... '" ..... .......... 6.3.2 Checkpoints, milestones an:I their dimensions.......... ................ 6.3.3 Interested user groups...................................................... 6.3.4 Overview of user interfaces................................................ 6.3.4.1 The Milestore-Administration.................................... 6.3.4.2 The Rule-Administration........................................... 6.3.4.3 Production problem identification....... ....... ........ ...... ..... 6.3.4.4 Production progress measurement................................ 6.3.5 Automated creation and maintenance of milestones.................... 6.3.6 Technology and developmeJt of the prototype..........................
    • 6.4 Adaptation capability of the prototype objects........................................
    • Cbapter7 .................................................................. (142-183)
    • 7.1 Introduction .................. , ......... '" ....... ... .. . .. . .. . .. ... ... . ... ... .. .... 143
    • 7.2 Effects of applying periodic data production management on the evaluation.. ...... ... ......... ..... .... ... ..... .......... ......... ..... .... 143
    • 7.3 Object of evaluation ............................................ '" ...... '" .. ... 146
    • 7.4 Evaluation criteria and structure.. ..... .... ... ........ ... ... ... ....... ...... ... 147 7.4.1 Evaluation possibilities...................................................... 147 7.4.2 Evaluation approach in this project........................................ 150 7.4.3 Explanation of the information gathering process....................... 154
    • 7.5 Evaluation......................................................................... 155 7.5.1 Overview of the analysis of the experts' assessment questionnaires ... 155 7.5.2 Overview of the scenarios and their use .................................... 161 7.5.3 Financial benefits........................................................... ... 164 7.5.3.1 Correlating production costs and human resources to milestones .................................... , . .. . ... .. . .. . .. . . .. .. 164 7.5.3.2 Model calculations................. ,.................... ,. ... .... .... 167 7.5.4 Functional benefits.. ... ...... ............ ...... ... ...... ... ........ ...... .... 172 7.5.4.1 Operational Level: Expected due-dates if predecessors are delayed ............................................................ 172 7.5.4.2 Strategic and tactical level: Gantt diagrams modified for periodic data production management............................ 175
    • 7.6 Summary of evaluation results. ... . . .. .. .. . . .. . .. . .. .. . . .. . .. . .. . .. . .. . .. . .. .... 178
    • 7.7 Chapter summary ........................... , . .. . . .. . . . .. ... . .. . .. . .. . .. . .. . . . .... 181
    • Cbapter 8 ..................................................................
    • 8.1 Introduction .................................. ·····················..............
    • 8.2 Main findings discussed in the context ofthe research issues............
    • 8.3 Contribution of the thesis.. ..... .... ...... ..... ...... ... .......... ... ..... .....
    • 8.4 Future work................................... ...... ... ... ... ... .. .. . . .. . ... ....
    • 8.5 Concluding remarks ............................. ······.........................
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