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IJ05684: GS OPT - THE CAPACITY PLANING MODEL IS NOT WORKING DOING THE NO DOUBLE BOOK RULE AS IS EXPECT ON THIS SCENARIO

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APAR status

  • Closed as program error.

Error description

  • PROBLEM:  The Capacity Planning is not working once that is not
    allow the user to Double Book a Resource, and that is not we
    expect when run the Capacity Scenario
    PERFORMANCE ISSUE: NO
    STEPS TO REPRODUCE:
    1-) Create one Record over the Graphical Scheduling application
    2-) Add the Work Order Query to push so work to this Schedule
    that cause overhead for just one labor
    3-) Make sure to check the Alternate Resources over the at More
    Information tab marked the Scenario Allow and approve the record
    4-) Move to the Graphical view
    5-) Notice the Alternate Resource for this specific work Period
    6-) Create a Capacity scenario over the More action menu
    7- ) Run the optimization for get it paln in just 1 day
    CURRENT ERRONEOUS RESULT:  That fail when try to run
    EXPECTED RESULT:  It should plan the work and show at the
    Process dialog the Addtional resource need for realise the Work
    in just one day.
    ADDITIONAL INFO: NO
    ENVIRONMENT (SYSTEM INFO):
    App Server Weblogic Application Server 12.1.1.0
    Version
    Tivoli's process automation engine 7.6.0.9-IFIX20180330-1643
    Build 20171127-0100 DB Build V7609-45 HFDB Build HF7609-04
    IBM TPAE Integration Framework 7.6.0.9 Build 20171127-2330 DB
    Build V7609-32
    IBM Maximo Asset Management Scheduler Plus 7.6.7.0 Build
    20171127-0100 DB Build V7670-01
    IBM Maximo Asset Management Scheduler 7.6.7.0 Build
    20171127-0100 DB Build V7670-56 HFDB Build HF7670-12
    IBM Maximo Asset Management Work Centers 7.6.0.3 Build
    20171121-0723 DB Build V7603-175
    Server OS Windows Server 2012 R2 6.3
    Server DB Oracle 11.2 (Oracle Database 11g Enterprise Edition
    Release 11.2.0.3.0 - 64bit Production With the Partitioning,
    OLAP, Data Mining and Real Application Testing options)
    (c) Copyright IBM Corp. 2017
    LOCAL FIX: N/A
    SECURITY IMPACT (Y/N): N
    

Local fix

  • N/A
    

Problem summary

  • ****************************************************************
    * USERS AFFECTED:                                              *
    * maximo scheduler users                                       *
    ****************************************************************
    * PROBLEM DESCRIPTION:                                         *
    * The Capacity Planning is not working once that is not        *
    * allow the user to Double Book a Resource, and that is not we *
    * expect when run the Capacity Scenario                        *
    ****************************************************************
    * RECOMMENDATION:                                              *
    * Apply fixpack  Release 7.6.1.0 of Base Services (Scheduler   *
    * 7671)or request an interim fix                               *
    ****************************************************************
    

Problem conclusion

  • Fix has been made to fix....The fix for this APAR is contained
    in the following maintenance package:
    		 | release\fix pack\interim fix for  Release 7.6.1.0 of Base
    Services(Scheduler 7671)
    

Temporary fix

Comments

APAR Information

  • APAR number

    IJ05684

  • Reported component name

    MAXIMO SCHEDULE

  • Reported component ID

    5724R46SE

  • Reported release

    767

  • Status

    CLOSED PER

  • PE

    NoPE

  • HIPER

    NoHIPER

  • Special Attention

    NoSpecatt / Xsystem

  • Submitted date

    2018-04-12

  • Closed date

    2018-04-17

  • Last modified date

    2018-04-17

  • APAR is sysrouted FROM one or more of the following:

  • APAR is sysrouted TO one or more of the following:

Fix information

  • Fixed component name

    MAXIMO SCHEDULE

  • Fixed component ID

    5724R46SE

Applicable component levels

  • R767 PSY

       UP



Document information

More support for: Maximo Asset Management Scheduler

Software version: 767

Reference #: IJ05684

Modified date: 17 April 2018