Inputs on update query tuning

I'm doing follwoing update
update ide_fact_sales_base ide1
     set log_del_ind = 'Y'
     where work_grp_id in (2900,2901)
and crt_date_time <> (select max(crt_date_time) from ide_fact_sales_base ide2
where ide2.inv_sales_id = ide1.inv_sales_id
and ide2.conf_stk_mvt_id = ide1.conf_stk_mvt_id
and imi_trans_type_id not in (2,25))
and imi_trans_type_id not in (25,2)
and log_del_ind is null;
But it's taking so much time , Can i know how to tune this query ?
STATEMENT_ID     TIMESTAMP     REMARKS     OPERATION     OPTIONS     OBJECT_NODE     OBJECT_OWNER     OBJECT_NAME     OBJECT_INSTANCE     OBJECT_TYPE     OPTIMIZER     SEARCH_COLUMNS     ID     PARENT_ID     POSITION     COST     CARDINALITY     BYTES     OTHER_TAG     PARTITION_START     PARTITION_STOP     PARTITION_ID     OTHER     DISTRIBUTION
     11/11/2011 6:07          UPDATE STATEMENT                                   CHOOSE          0          92191     92191     176390     5115310                              
     11/11/2011 6:07          UPDATE               DFNOWNER     IDE_FACT_SALES_BASE                         1     0     1                                             
     11/11/2011 6:07          FILTER                                             2     1     1                                             
     11/11/2011 6:07          TABLE ACCESS     FULL          DFNOWNER     IDE_FACT_SALES_BASE     1          ANALYZED          3     2     1     92191     176390     5115310                              
     11/11/2011 6:07          INDEX     RANGE SCAN          DFNOWNER     IDE_FIX_IDX          NON-UNIQUE     ANALYZED          6     5     1     3     1                                   
     11/11/2011 6:07          TABLE ACCESS     BY INDEX ROWID          DFNOWNER     IDE_FACT_SALES_BASE     2          ANALYZED          5     4     1     4     1     25                              
     11/11/2011 6:07          SORT     AGGREGATE                                        4     2     2          1     25

MERGE INTO ide_fact_sales_base ide1
   USING (SELECT ide1.ROWID ri
            FROM ide_fact_sales_base ide1
           WHERE work_grp_id IN (2900, 2901)
             AND crt_date_time IN (
                    SELECT MAX (crt_date_time)
                      FROM ide_fact_sales_base ide2
                     WHERE ide2.inv_sales_id = ide1.inv_sales_id
                       AND ide2.conf_stk_mvt_id = ide1.conf_stk_mvt_id
                       AND imi_trans_type_id NOT IN (2, 25))
             AND imi_trans_type_id NOT IN (25, 2)
             AND log_del_ind IS NULL) b
   ON (ide1.ROWID = b.ri)
   WHEN MATCHED THEN
      UPDATE
         SET log_del_ind = 'Y'
please post query explain plan

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    siebelwb.stg_sbl_acct_promo_actuals2 promo_actual
    WHERE acct_promo_hdr.sub_type = 'PLAN_ACCOUNT_PROMOTION'
    AND acct_promo_hdr.row_id = acct_title_format.par_src_id
    AND acct_title_format.sub_type = 'PLAN_ACCT_PROMOTION_CATEGORY'
    AND acct_title_format.row_id = acct_promo_sku.par_src_id
    AND acct_promo_sku.sub_type = 'PLAN_ACCOUNT_PROMOTION_PRODUCT'
    AND acct_promo_hdr.row_id = acct_promo_hdrx.par_row_id
    AND acct_promo_sku.row_id = acct_promo_skux.par_row_id(+)
    AND acct_promo_sku.prod_id = prod.row_id
    AND acct_promo_hdr.bu_id = promo_hdr_org.row_id
    AND acct_promo_sku.bu_id = sku_org.row_id
    AND prod.x_prod_material_num = promo_actual.material_number
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    explain plan
    PLAN_TABLE_OUTPUT
    Plan hash value: 3864590768
    | Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
    | 0 | SELECT STATEMENT | | 1 | 298 | 2300 (1)| 00:00:28 |
    | 1 | COUNT | | | | | |
    |* 2 | FILTER | | | | | |
    | 3 | NESTED LOOPS | | | | | |
    | 4 | NESTED LOOPS | | 1 | 298 | 2300 (1)| 00:00:28 |
    | 5 | NESTED LOOPS OUTER | | 1 | 273 | 2298 (1)| 00:00:28 |
    | 6 | NESTED LOOPS | | 1 | 263 | 2296 (1)| 00:00:28 |
    | 7 | NESTED LOOPS | | 1 | 236 | 2295 (1)| 00:00:28 |
    | 8 | NESTED LOOPS | | 1 | 165 | 2292 (1)| 00:00:28 |
    | 9 | NESTED LOOPS | | 1 | 117 | 2289 (1)| 00:00:28 |
    | 10 | NESTED LOOPS | | 1 | 109 | 2289 (1)| 00:00:28 |
    | 11 | NESTED LOOPS | | 1 | 99 | 2287 (1)| 00:00:28 |
    |* 12 | TABLE ACCESS FULL | STG_SBL_ACCT_PROMO_ACTUALS2 | 1 | 49 | 2285 (1)| 00:0
    |* 13 | TABLE ACCESS BY INDEX ROWID| S_SRC | 1 | 50 | 2 (0)| 00:00:01 |
    |* 14 | INDEX UNIQUE SCAN | S_SRC_P1 | 1 | | 1 (0)| 00:00:01 |
    |* 15 | INDEX RANGE SCAN | S_SRC_X_U1 | 1 | 10 | 2 (0)| 00:00:01 |
    |* 16 | INDEX UNIQUE SCAN | S_BU_P1 | 1 | 8 | 0 (0)| 00:00:01 |
    |* 17 | TABLE ACCESS BY INDEX ROWID | S_SRC | 1 | 48 | 3 (0)| 00:00:01 |
    |* 18 | INDEX RANGE SCAN | S_SRC_F2 | 2 | | 2 (0)| 00:00:01 |
    |* 19 | TABLE ACCESS BY INDEX ROWID | S_SRC | 1 | 71 | 3 (0)| 00:00:01 |
    |* 20 | INDEX RANGE SCAN | S_SRC_F2 | 2 | | 2 (0)| 00:00:01 |
    | 21 | TABLE ACCESS BY INDEX ROWID | S_BU | 1 | 27 | 1 (0)| 00:00:01 |
    |* 22 | INDEX UNIQUE SCAN | S_BU_P1 | 1 | | 0 (0)| 00:00:01 |
    |* 23 | INDEX RANGE SCAN | S_SRC_X_U1 | 1 | 10 | 2 (0)| 00:00:01 |
    |* 24 | INDEX UNIQUE SCAN | S_PROD_INT_P1 | 1 | | 1 (0)| 00:00:01 |
    |* 25 | TABLE ACCESS BY INDEX ROWID | S_PROD_INT | 1 | 25 | 2 (0)| 00:00:
    Predicate Information (identified by operation id):
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    15 - access("ACCT_PROMO_HDR"."ROW_ID"="ACCT_PROMO_HDRX"."PAR_ROW_ID")
    16 - access("ACCT_PROMO_HDR"."BU_ID"="PROMO_HDR_ORG"."ROW_ID")
    17 - filter("ACCT_TITLE_FORMAT"."SUB_TYPE"='PLAN_ACCT_PROMOTION_CATEGORY')
    18 - access("ACCT_PROMO_HDR"."ROW_ID"="ACCT_TITLE_FORMAT"."PAR_SRC_ID")
    19 - filter("ACCT_PROMO_SKU"."PROD_ID" IS NOT NULL AND
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    20 - access("ACCT_TITLE_FORMAT"."ROW_ID"="ACCT_PROMO_SKU"."PAR_SRC_ID")
    22 - access("ACCT_PROMO_SKU"."BU_ID"="SKU_ORG"."ROW_ID")
    23 - access("ACCT_PROMO_SKU"."ROW_ID"="ACCT_PROMO_SKUX"."PAR_ROW_ID"(+))
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    thanks

    Hi,
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    This means that if there is a problem, we will never find out about it by looking in the plan. And it's quite likely that there is, in fact, a problem, because the plan contains a bunch of nested joins, and the cost of each nested join is directly proportional to the cardinality of the previous nested loop. I.e. it suffices to make one bad mistake in estimating the number of rows coming fom one of the nested rows to screw up the entire plan and get all remaining estimates (including the total cost of the query) completely wrong.
    In order for us to be able to tell more, we need to see the plan with rowsource statistics, and please don't forget to use tags to preserve formatting (use the preview tab to make sure the posted plan is actually readable).
    Best regards,
      Nikolay                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                           

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    Best Regards.
    Pedro Baroni

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