By Raj Behera
This booklet offers cross-enterprise configuration directions and top practices for SAP GRC entry keep watch over implementations in businesses with multi-system architectures. the writer presents the implementation options, configuration steps, and top practices essential to enforce and deal with a world entry regulate, chance remediation, and compliance framework throughout a multi-system panorama, together with non-SAP and legacy platforms. Readers observe find out how to use Offline threat research, genuine Time research, and administration replace report back to deal with probability research around the company and speedy come to appreciate the right way to construct and deal with a rule matrix for a multi-system company utilizing the true Time Agent (RTA), in addition to the useful use of the guideline Architect. Plus, methods to configure AC to be used with the commonest non-SAP platforms comparable to Oracle, PeopleSoft, JDEdwards, and others. you will discover out how top to figure out the setup of cross-enterprise mitigation controls and substitute controls to mitigate hazard in addition to the best way to teach administration approximately conflicts approval and tracking. ultimately, the writer exhibits you ways you could increase and execute a plan for non-stop Compliance utilizing most sensible practices for simulation, tracking, and keep an eye on. Highlights: Cross-Enterprise ideas and Rulesets Configuration and Operation of knowledge Extractor Integration with Non-SAP and Legacy structures SOX and the function of entry keep watch over administration Reporting updated for SAP GRC AC 7.0
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Scheduling multiple n-part-types in an unreliable single-machine manufacturing system IEEE Trans. on Aut. Control, Vol. 364-367 Books 3. : Vycobn(\ logistika I. Vyd. Strofek Kosice 1996 Book Chapter or Papers in Proceedings 4. : Proc. 14-17 5. : Control of discrete production systems - problem and tasks. In Proc. Artificial intelligence and information - control systems of robots 97. World Scientific, Singapore, pp 17 -27 6. ; Domenech, F. Evaluation of job-shop scheduling heuristic in workshop subject to disturbances, In Proc.
Lee S, Wysk A and Smith J S 1994 Process Planning Interface for a Shop Floor Control Architecture for Computer-Integrated Manufacturing, Int. J. Production Research 33/9:2415-2435. Catron B A, Ray B 1991 ALPS: A Language for Process Specification, Int. J. Computer Integrated Manufacturing 4/2: 105-113. Carlier J, Pinson E 1990 A Practical Use of Jackson's Preemptive Schedule for Solving the Job-Shop Problem, Annals of Operation Research 26:269-287. Nowicki E, Smutnicki C 1996 A Fast Tabu Search Algorithm for the Job-Shop Problem, Management Science 42/6:797-813.
The first one assumes alternative process plans and optimises the choice of machine tools. The second one assumes a rigid decision on machine tools and optimises the timing of production order downloads to the shop floor under the delivery time constraints [10). 7 Conclusions Process planning involves intelligence at many decision levels. Drawing on major relevant projects in which the authors took part it is recommended to split the planning task into a generic phase, peculiar to part families and independent of the particular manufacturing environment, and a detailed phase, peculiar to a part within a family and allowing optimisation and sequencing of operations.
Cross-Enterprise Integration with SAP GRC Access Control by Raj Behera