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    • 42. 发明专利
    • DECENTRALIZED SUPPLY CHAIN FOR THREE-DIMENSIONAL PRINTING BASED ON DISTRIBUTED LEDGER TECHNOLOGY
    • AU2020202699A1
    • 2020-05-14
    • AU2020202699
    • 2020-04-22
    • ACCENTURE GLOBAL SOLUTIONS LTD
    • KUMAR PRAVESHNIGAM HARSHITSANGHVI PRASHANTVIKRAM ASHUTOSHGUPTA ANSHULJOSHI VARUNKATARIA ANURAG
    • B29C64/393B33Y50/02G06F17/40
    • A system including a printability analyzer, executed by at least one hardware processor, that ascertains, from an electronic three-dimensional printing file for a three dimensional part to be printed, three-dimensional printing constraints that include a design constraint, a material constraint, and a dimension constraint, ascertains a plurality of attributes for each three-dimensional printer of a plurality of three-dimensional printers, compares the three-dimensional printing constraints from the electronic three-dimensional printing file for the three-dimensional part to be printed to each attribute of the plurality of attributes for each three-dimensional printer of the plurality of three-dimensional printers, and determines, based on the comparison, whether the three-dimensional part is printable by at least one three-dimensional printer of the plurality of three-dimensional printers or not printable by any three-dimensional printer of the plurality of three-dimensional printers, a print evaluator, executed by the at least one hardware processor, that either a) ascertains, based on a determination that the three-dimensional part is printable by the at least one three-dimensional printer of the plurality of three-dimensional printers, costs associated with three-dimensional printing of the three-dimensional part and non-three-dimensional printing based manufacturing of the three-dimensional part, and determines, based on an analysis of the costs associated with the three-dimensional printing of the three dimensional part and the non-three-dimensional printing based manufacturing of the three dimensional part, whether the three-dimensional part is to be printed by the at least one three-dimensional printer of the plurality of three-dimensional printers, or b) determines, based on a determination that the three-dimensional part is not printable by any three dimensional printer of the plurality of three-dimensional printers, whether the design constraint or the material constraint of the three-dimensional part to be printed is not respectively met by a design attribute or a material attribute of any three-dimensional printer of the plurality of three-dimensional printers, and i. based on a determination that the design constraint of the three-dimensional part to be printed is not met by the design attribute of any three-dimensional printer of the plurality of three-dimensional printers, specifies a redesign for the three-dimensional part to be printed to meet the design attribute of at least one three-dimensional printer of the plurality of three-dimensional printers, or ii. based on a determination that the material constraint of the three dimensional part to be printed is not met by the material attribute of any three-dimensional printers, specifies an alternate material for the three-dimensional part to be printed to meet the material attribute of at least one three-dimensional printer of the plurality of three dimensional printers, and determines, based on the redesign for the three-dimensional part to be printed meeting the design attribute of at least one three dimensional printer of the plurality of three-dimensional printers or based on the alternate material for the three dimensional part to be printed meeting the material attribute of at least one three dimensional printer of the plurality of three-dimensional printers, whether the three dimensional part is to be printed by the at least one three-dimensional printer of the plurality of three-dimensional printers, and a digital integrator, executed by the at least one hardware processor, that ascertains, based on a determination that the three-dimensional part is to be printed by the at least one three-dimensional printer of the plurality of three dimensional printers, the electronic three-dimensional printing file for the three-dimensional part to be printed, controls, by a distributed electronic ledger including a blockchain network, execution of the electronic three-dimensional printing file for the three-dimensional part to be printed, and controls, by the distributed electronic ledger and based on the execution of the electronic three-dimensional printing file for the three-dimensional part to be printed, printing of the three-dimensional part. zO z ( O0c 0c LU 0z w 0z~ U)~c J) (NJ 7 Z Z
    • 46. 发明专利
    • PRESCRIPTIVE ANALYTICS BASED COMMITTED COMPUTE RESERVATION STACK FOR CLOUD COMPUTING RESOURCE SCHEDULING
    • AU2020201712A1
    • 2020-03-26
    • AU2020201712
    • 2020-03-06
    • ACCENTURE GLOBAL SOLUTIONS LTD
    • SRINIVASAN MADHAN KUMARPURUSHOTHAMAN ARUNKOLACHALAM MANISH SHARMAEISENSTEIN MICHAEL S
    • G06Q10/06G06F9/00G06F17/00
    • A system including network interface circuitry configured to receive historical utilization data for a set of virtual machines, receive consumption metric data for the set of virtual machines, receive tagging data defining a functional grouping for a first virtual machine of the set of virtual machines, send a reservation matrix to a host interface configured to control static reservation and dynamic requisition for at least the first virtual machine, reservation circuitry in data communication with the network interface circuitry, the reservation circuitry configured to execute a committed compute reservation (CCR) stack, the CCR stack including a data staging layer, an input layer, a transformation layer, an iterative analysis layer, and a prescriptive engine layer, the CCR stack configured to obtain, via a data control tool at the input layer, the historical utilization data, the consumption metric data, and the tagging data, store, at the data staging layer, the historical utilization data, the consumption metric data, and the tagging data, access, at the transformation layer, the historical utilization data and the consumption metric data via a memory resource provided by the data staging layer, process, at the transformation layer, the historical utilization data and the tagging to generate a time-mapping of active periods for virtual machines within the functional grouping, store, via operation at the data staging layer, the time-mapping, obtain, at the iterative analysis layer, a current CC state for the set of virtual machines, where the CCR stack is configured to obtain the current CC state based on an initial CC state describing a pre-analysis distribution of static reservation and dynamic requisition, and the transformation layer is configured to obtain the initial CC state from an activation timetable generated using an activation timetable stack, access, at the iterative analysis layer, the consumption metric data, within an analysis space of CC states, use non-linear search to generate a search region around the current CC state, based on the time-mapping, the consumption metric data, and the previous CC state, determine a consumption-constrained CC state including a static reservation prescription for at least the first virtual machine, store, via operation at the data staging layer, the consumption-constrained CC state, access the consumption constrained CC state at the prescriptive engine layer, analyze the consumption constrained CC state responsive to a feedback history based on commands from a CC control interface, responsive to analyzing the consumption-constrained CC state, generate, at the prescriptive engine layer, a CC-window presentation for the CC control interface, and after generation of the CC-window presentation, generate the reservation matrix based on at least the consumption-constrained CC state and the feedback history. Data Staging Layer 105 Input Layer 110 Transformation Layer 120 Iterative Analysis Layer 122 130 Prescriptive Engine Layer 150 CC Control Interface 154 CC-Window Presentation 156 Reservation Matrix 158 Data Export Layer 160 JSON L XML TBWX CSV ] F H TML Flat File L Streaming Web Service Fire 1
    • 50. 发明专利
    • TRANSFORMATION PLATFORM
    • AU2019201406B2
    • 2020-03-05
    • AU2019201406
    • 2019-02-28
    • ACCENTURE GLOBAL SOLUTIONS LTD
    • HAZEN PHILLIP EVOHRA ANILYENDIGERI DEEPA
    • G06Q10/06G06N20/00
    • A device may receive a request for a service management plan that is used to implement a fully-integrated enterprise resource planning (ERP) system for an organization. The device may receive organizational data associated with the organization. The device may determine, based on the organizational data, observations that serve as hypotheses for deficiencies associated with a current state of a system of the organization. The device may identify, based on the observations, priorities that define a target state for the fully-integrated ERP system that is generated. The device may select, based on a machine-learning-driven analysis of the observations and the priorities, a recommendation for a configuration of the fully-integrated ERP system. The device may generate, based on the recommendation, the service management plan for the organization. The device may perform a set of actions to cause the configuration to be implemented. 0095-0466AU Page 1/12 - -a CL- a)Co) E) 0 C" mC X = = = 0 ) 2) cca) 0 0- - 000 *0OE 5 c -a CL 2 0 EcOLmO Cfla aa)~ 0 > a) 0w