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Sunoco Chemicals is the number one producer of phenol in the U.S. and number two globally. They are the number three producer of polypropylene in North America . Sunoco Chemicals has manufacturing plants located in Marcus Hook, PA, Philadelphia, PA, Frankford (Philadelphia, PA), Eagle Point (Westville, NJ), Haverhill, OH, Neal, WV, La Porte, TX and Bayport, TX. TabWare On-site has been used extensively at all Sunoco Chemicals plants since 1998. TabWare is being used at these facilities to standardize maintenance procedures across the sites and to manage maintenance, inventory, and procurement operations at each site. Sunoco utilizes standard TabWare interfaces with Microsoft Project and supplier E-catalogs such as Ariba. Sunoco has also developed interfaces between TabWare and several of its in-house accounting systems applications. Sunoco runs TabWare with their Microsoft SQL Server database. Additionally, TabWare's document linking feature will assist Esprit with regulatory compliance issues.
Terra's nitrogen manufacturing facilities are located in North America and the U.K. and produce ammonia, methanol, urea ammonium nitrate solutions, urea and ammonium nitrate. TabWare is used extensively at all plants to manage the maintenance, stores, purchasing, and invoice matching operations. TabWare has been used to improve scheduling and purchasing functions and has resulted in a smoother workflow and better labor utilization. TabWare has also been interfaced with Terra's SAP Financials software to provide a totally integrated solution across Terra's global operations.
Esprit Exploration Ltd. has implemented TabWare at four facilities in western Canada. Esprit uses TabWare's work order, preventive maintenance and equipment management functionality at each facility enabling cost roll-ups from the facilities to the company. This includes the capture of costs and historical data across all equipment classes that will be used in making replace/build decisions. Using TabWare, Esprit will now be able to use equipment history data for reliability analyses to improve mean time between failures.(MTBF)
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