Procurement of more quantity than required in case of non stock items

Dear Experts,
Requirement is given below.
I have one maintenance order with non stock item category N for quantity 5 pieces which is actual need.But user wants to procure 50 pieces against order and consume 5 pieces and rest will keep as stock.
But in case of procurement against non stock item the moment we received the Goods (GR), all procurement quantity  will goes to consumption account and postings will happen accordingly.Correct me if i am wrong.
Now my requirement is to keep the remaining stock 45 pieces (5 pieces consumed against actual need) as stock and to be consumed whenever there is a need.Can it possible to keep as stock in storage location which was procured against order as non stock item.
How can i resolve this issue.
Please somebody can help me.<<Text removed>>
Thanks in advance.
Reddiy.A.V
Edited by: Matt on Oct 12, 2011 6:46 AM

For the orders which you consumed, do the reversal of that material document. Also create one GR for the qty which has been returned to vendor & keeping the stock to storage location.
In future, define those as stock items, so that this work around won't be required.

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    NOCOMPRESS
    TABLESPACE TS_OS,
    PARTITION MV_US_DATAMART_07_NOV_D3 VALUES LESS THAN (TO_DATE(' 2007-12-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN'))
    LOGGING
    NOCOMPRESS
    TABLESPACE TS_OS,
    PARTITION MV_US_DATAMART_07_DEC_D1 VALUES LESS THAN (TO_DATE(' 2007-12-11 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN'))
    LOGGING
    NOCOMPRESS
    TABLESPACE TS_OS,
    PARTITION MV_US_DATAMART_07_DEC_D2 VALUES LESS THAN (TO_DATE(' 2007-12-21 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN'))
    LOGGING
    NOCOMPRESS
    TABLESPACE TS_OS,
    PARTITION MV_US_DATAMART_07_DEC_D3 VALUES LESS THAN (TO_DATE(' 2008-01-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN'))
    LOGGING
    NOCOMPRESS
    TABLESPACE TS_OS,
    PARTITION MV_US_DATAMART_08_JAN_D1 VALUES LESS THAN (TO_DATE(' 2008-01-11 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN'))
    LOGGING
    NOCOMPRESS
    TABLESPACE TS_OS,
    PARTITION MV_US_DATAMART_08_JAN_D2 VALUES LESS THAN (TO_DATE(' 2008-01-21 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN'))
    LOGGING
    NOCOMPRESS
    TABLESPACE TS_OS,
    PARTITION MV_US_DATAMART_08_JAN_D3 VALUES LESS THAN (TO_DATE(' 2008-02-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN'))
    LOGGING
    NOCOMPRESS
    TABLESPACE TS_OS,
    PARTITION MV_US_DATAMART_MAXVAL VALUES LESS THAN (MAXVALUE)
    LOGGING
    NOCOMPRESS
    TABLESPACE TS_OS
    NOCACHE
    NOCOMPRESS
    NOPARALLEL
    BUILD DEFERRED
    USING INDEX
    TABLESPACE TS_OS_INDEX
    REFRESH FAST ON DEMAND
    WITH PRIMARY KEY
    ENABLE QUERY REWRITE
    AS
    SELECT order_date, if_system,
    GROUPING_ID (order_date,
    if_system,
    business_dim_id,
    time_dim_id,
    account_dim_id,
    ordertype_dim_id,
    instr_dim_id,
    execution_dim_id,
    exec_exchange_dim_id
    ) GROUPING_ID,
    /* ============ DIMENSIONS ============ */
    time_dim_id, business_dim_id, account_dim_id, ordertype_dim_id,
    instr_dim_id, execution_dim_id, exec_exchange_dim_id,
    /* ============ MEASURES ============ */
    -- o.FX_RATE /* FX_RATE */,
    COUNT (*) no_orders,
    -- SUM(NO_ORDERS) NO_ORDERS,
    -- COUNT(NO_ORDERS) CNT_NO_ORDERS,
    SUM (filled_quantity) filled_quantity,
    COUNT (filled_quantity) cnt_filled_quantity, SUM (quantity) quantity,
    COUNT (quantity) cnt_quantity, SUM (commission) commission,
    COUNT (commission) cnt_commission, SUM (fills_number) fills_number,
    COUNT (fills_number) cnt_fills_number,
    SUM (aggressive_fills) aggressive_fills,
    COUNT (aggressive_fills) cnt_aggressive_fills,
    SUM (fx_rate * filled_quantity * average_price) notional,
    COUNT (fx_rate * filled_quantity * average_price) cnt_notional,
    SUM (fx_rate * fills_number * average_price) total_price,
    COUNT (fx_rate * fills_number * average_price) cnt_total_price,
    SUM (CASE
    WHEN order_status = 'C'
    THEN 1
    ELSE 0
    END) cancelled_orders_count,
    COUNT (CASE
    WHEN order_status = 'C'
    THEN 1
    ELSE 0
    END
    ) cnt_cancelled_orders_count,
    -- SUM(t.FX_RATE*t.NO_FILLS*t.AVG_PRICE) AVERAGE_PRICE,
    -- SUM(FILLS_NUMBER*AVERAGE_PRICE) STAGING_AVERAGE_PRICE,
    -- COUNT(FILLS_NUMBER*AVERAGE_PRICE) CNT_STAGING_AVERAGE_PRICE,
    SUM (routed_orders_no) routed_orders_no,
    COUNT (routed_orders_no) cnt_routed_orders_no,
    SUM (routed_liquidity_qty) routed_liquidity_qty,
    COUNT (routed_liquidity_qty) cnt_routed_liquidity_qty,
    SUM (removed_liquidity_qty) removed_liquidity_qty,
    COUNT (removed_liquidity_qty) cnt_removed_liquidity_qty,
    SUM (added_liquidity_qty) added_liquidity_qty,
    COUNT (added_liquidity_qty) cnt_added_liquidity_qty,
    SUM (agent_charges) agent_charges,
    COUNT (agent_charges) cnt_agent_charges,
    SUM (clearing_charges) clearing_charges,
    COUNT (clearing_charges) cnt_clearing_charges,
    SUM (execution_charges) execution_charges,
    COUNT (execution_charges) cnt_execution_charges,
    SUM (transaction_charges) transaction_charges,
    COUNT (transaction_charges) cnt_transaction_charges,
    SUM (order_management) order_management,
    COUNT (order_management) cnt_order_management,
    SUM (settlement_charges) settlement_charges,
    COUNT (settlement_charges) cnt_settlement_charges,
    SUM (recovered_agent) recovered_agent,
    COUNT (recovered_agent) cnt_recovered_agent,
    SUM (recovered_clearing) recovered_clearing,
    COUNT (recovered_clearing) cnt_recovered_clearing,
    SUM (recovered_execution) recovered_execution,
    COUNT (recovered_execution) cnt_recovered_execution,
    SUM (recovered_transaction) recovered_transaction,
    COUNT (recovered_transaction) cnt_recovered_transaction,
    SUM (recovered_ord_mgt) recovered_ord_mgt,
    COUNT (recovered_ord_mgt) cnt_recovered_ord_mgt,
    SUM (recovered_settlement) recovered_settlement,
    COUNT (recovered_settlement) cnt_recovered_settlement,
    SUM (client_agent) client_agent,
    COUNT (client_agent) cnt_client_agent,
    SUM (client_order_mgt) client_order_mgt,
    COUNT (client_order_mgt) cnt_client_order_mgt,
    SUM (client_exec) client_exec, COUNT (client_exec) cnt_client_exec,
    SUM (client_trans) client_trans,
    COUNT (client_trans) cnt_client_trans,
    SUM (client_clearing) client_clearing,
    COUNT (client_clearing) cnt_client_clearing,
    SUM (client_settle) client_settle,
    COUNT (client_settle) cnt_client_settle,
    SUM (chargeable_taxes) chargeable_taxes,
    COUNT (chargeable_taxes) cnt_chargeable_taxes,
    SUM (vendor_charge) vendor_charge,
    COUNT (vendor_charge) cnt_vendor_charge,
    SUM (routing_charges) routing_charges,
    COUNT (routing_charges) cnt_routing_charges,
    SUM (recovered_routing) recovered_routing,
    COUNT (recovered_routing) cnt_recovered_routing,
    SUM (client_routing) client_routing,
    COUNT (client_routing) cnt_client_routing,
    SUM (ticket_charges) ticket_charges,
    COUNT (ticket_charges) cnt_ticket_charges,
    SUM (recovered_ticket_charges) recovered_ticket_charges,
    COUNT (recovered_ticket_charges) cnt_recovered_ticket_charges
    FROM us_datamart_raw
    GROUP BY order_date,
    if_system,
    business_dim_id,
    time_dim_id,
    account_dim_id,
    ordertype_dim_id,
    instr_dim_id,
    execution_dim_id,
    exec_exchange_dim_id;
    -- Note: Index I_SNAP$_MV_US_DATAMART will be created automatically
    -- by Oracle with the associated materialized view.
    CREATE UNIQUE INDEX OS_OWNER.MV_US_DATAMART_UDX ON OS_OWNER.MV_US_DATAMART
    (ORDER_DATE, TIME_DIM_ID, BUSINESS_DIM_ID, ACCOUNT_DIM_ID, ORDERTYPE_DIM_ID,
    INSTR_DIM_ID, EXECUTION_DIM_ID, EXEC_EXCHANGE_DIM_ID)
    NOLOGGING
    NOPARALLEL
    COMPRESS 7;
    No of rows: 2228558
    The query (taken Mondrian) I run against each of them is:
    select sum("MV_US_DATAMART"."NOTIONAL") as "m0"
    --, sum("MV_US_DATAMART"."FILLED_QUANTITY") as "m1"
    --, sum("MV_US_DATAMART"."AGENT_CHARGES") as "m2"
    --, sum("MV_US_DATAMART"."CLEARING_CHARGES") as "m3"
    --, sum("MV_US_DATAMART"."EXECUTION_CHARGES") as "m4"
    --, sum("MV_US_DATAMART"."TRANSACTION_CHARGES") as "m5"
    --, sum("MV_US_DATAMART"."ROUTING_CHARGES") as "m6"
    --, sum("MV_US_DATAMART"."ORDER_MANAGEMENT") as "m7"
    --, sum("MV_US_DATAMART"."SETTLEMENT_CHARGES") as "m8"
    --, sum("MV_US_DATAMART"."COMMISSION") as "m9"
    --, sum("MV_US_DATAMART"."RECOVERED_AGENT") as "m10"
    --, sum("MV_US_DATAMART"."RECOVERED_CLEARING") as "m11"
    --,sum("MV_US_DATAMART"."RECOVERED_EXECUTION") as "m12"
    --,sum("MV_US_DATAMART"."RECOVERED_TRANSACTION") as "m13"
    --, sum("MV_US_DATAMART"."RECOVERED_ROUTING") as "m14"
    --, sum("MV_US_DATAMART"."RECOVERED_ORD_MGT") as "m15"
    --, sum("MV_US_DATAMART"."RECOVERED_SETTLEMENT") as "m16"
    --, sum("MV_US_DATAMART"."RECOVERED_TICKET_CHARGES") as "m17"
    --,sum("MV_US_DATAMART"."TICKET_CHARGES") as "m18"
    --, sum("MV_US_DATAMART"."VENDOR_CHARGE") as "m19"
              from "OS_OWNER"."MV_US_DATAMART" "MV_US_DATAMART"
    where I uncomment a column at a time and rerun. I improved the TimesTen results since my first post, by retyping the NUMBER columns to BINARY_FLOAT. The results I got were:
    No Columns     ORACLE     TimesTen     
    1     1.05     0.94     
    2     1.07     1.47     
    3     2.04     1.8     
    4     2.06     2.08     
    5     2.09     2.4     
    6     3.01     2.67     
    7     4.02     3.06     
    8     4.03     3.37     
    9     4.04     3.62     
    10     4.06     4.02     
    11     4.08     4.31     
    12     4.09     4.61     
    13     5.01     4.76     
    14     5.02     5.06     
    15     5.04     5.25     
    16     5.05     5.48     
    17     5.08     5.84     
    18     6     6.21     
    19     6.02     6.34     
    20     6.04     6.75

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