eTRM uses javascript that opens and focuses a separate window to display reports. Your browser does not appear to support javascript. This should not prevent you from using eTRM but it does mean the window focus feature will not work. Please check the contents of other windows on your desktop if you click on a link that does not appear to do anything.
MATERIALIZED VIEW: APPS.OPI_ONTIME_PROD_001_MV

Source


SELECT     
           fact.organization_id,
           fact.source,
           fact.inventory_item_id,
           fact.uom_code,
           fact.inventory_item_id||'-'||fact.organization_id item_org_id,
           nvl (star.inv_category_id, -1) inv_category_id,
           grouping_id (fact.organization_id,
                        fact.source,
                        fact.inventory_item_id,
                        fact.uom_code,
                        nvl (star.inv_category_id, -1),
                        cal.ent_qtr_id,
                        cal.ent_period_id,
                        cal.week_id,
                        cal.report_date_julian) grouping_id,
           grouping_id (nvl (star.inv_category_id, -1),
                        fact.inventory_item_id) item_cat_flag,
           decode (grouping_id (cal.ent_qtr_id, cal.ent_period_id,
                                cal.week_id, cal.report_date_julian),
                   14, cal.report_date_julian,
                   13, cal.week_id,
                   11, cal.ent_period_id,
                   7, cal.ent_qtr_id) time_id,
           decode (grouping_id (cal.ent_qtr_id, cal.ent_period_id,
                                cal.week_id, cal.report_date_julian),
                   14, 1,
                   13, 16,
                   11, 32,
                   7, 64) period_type_id,
           cal.ent_qtr_id,
           cal.ent_period_id,
           cal.week_id,
           cal.report_date_julian,
           count (case when 
	       jobs.completion_date > jobs.scheduled_completion_date then 1 end)  					                            
	   late_prod_cnt,
           sum (case when 
	       jobs.completion_date > jobs.scheduled_completion_date then fact.completion_quantity else 0 end)
	   late_prod_qty,
           count(case when 
	       jobs.completion_date > jobs.scheduled_completion_date then fact.completion_quantity else 0 end) 
	   late_prod_qty_cnt,
           sum (case when 
	       jobs.completion_date > jobs.scheduled_completion_date then fact.completion_value_b else 0 end)
	   late_prod_val_b,
	   count (case when 
	       jobs.completion_date > jobs.scheduled_completion_date then fact.completion_value_b else 0 end)
	   late_prod_val_b_cnt,
	   sum (case when 
	       jobs.completion_date > jobs.scheduled_completion_date then 
	         (fact.completion_value_b*jobs.conversion_rate) else 0 end)
	   late_prod_val_g,
	   count (case when 
	       jobs.completion_date > jobs.scheduled_completion_date then 
	         (fact.completion_value_b*jobs.conversion_rate) else 0 end)
	   late_prod_val_g_cnt,
	   sum (case when 
	       jobs.completion_date > jobs.scheduled_completion_date then 
	       (fact.completion_value_b*jobs.sec_conversion_rate) else 0 end)
	   late_prod_val_sg,
           count (case when 
	       jobs.completion_date > jobs.scheduled_completion_date then 
	       (fact.completion_value_b*jobs.sec_conversion_rate) else 0 end)
	   late_prod_val_sg_cnt,
	   count (case when 
	       jobs.completion_date <= jobs.scheduled_completion_date then 1 end)  					                            
	   ontime_prod_cnt,
	   sum (case when 
	       jobs.completion_date <= jobs.scheduled_completion_date then fact.completion_quantity else 0 end)
	   ontime_prod_qty,
           count (case when 
	       jobs.completion_date <= jobs.scheduled_completion_date then fact.completion_quantity else 0 end) 
	   ontime_prod_qty_cnt,
           sum (case when 
	       jobs.completion_date <= jobs.scheduled_completion_date then fact.completion_value_b else 0 end)
	   ontime_prod_val_b,
	   count (case when 
	       jobs.completion_date <= jobs.scheduled_completion_date then fact.completion_value_b else 0 end)
	   ontime_prod_val_b_cnt,
	   sum (case when 
	       jobs.completion_date <= jobs.scheduled_completion_date then 
	       (fact.completion_value_b*jobs.conversion_rate) else 0 end)
	   ontime_prod_val_g,
	   count (case when 
	       jobs.completion_date <= jobs.scheduled_completion_date then 
	       (fact.completion_value_b*jobs.conversion_rate) else 0 end)
	   ontime_prod_val_g_cnt,
	   sum (case when 
	       jobs.completion_date <= jobs.scheduled_completion_date then 
	       (fact.completion_value_b*jobs.sec_conversion_rate) else 0 end)
	   ontime_prod_val_sg,
           count (case when 
	       jobs.completion_date <= jobs.scheduled_completion_date then 
	       (fact.completion_value_b*jobs.sec_conversion_rate) else 0 end)
	   ontime_prod_val_sg_cnt,
           count(*) lines_cnt
      FROM  ENI.ENI_OLTP_ITEM_STAR star,
            FII.FII_TIME_DAY cal,
            OPI.OPI_DBI_WIP_COMP_F fact,
	    OPI.OPI_DBI_JOBS_F jobs
      WHERE star.organization_id = fact.organization_id
        AND star.inventory_item_id = fact.inventory_item_id
        AND cal.report_date = fact.transaction_date
	    AND jobs.job_status_code IN (4,5,12)
	    AND jobs.line_type = 1
	    AND jobs.job_id = fact.job_id
        AND jobs.organization_id = fact.organization_id
        AND jobs.assembly_item_id = fact.inventory_item_id
	  GROUP BY
            fact.organization_id,
            fact.source,
            rollup (nvl (star.inv_category_id, -1),
                    (fact.inventory_item_id, fact.uom_code)),
            grouping sets (cal.ent_qtr_id, cal.ent_period_id,
                           cal.week_id, cal.report_date_julian)