September 24, 2020
September 24, 2020
Fixed assets of government institutions (hereinafter referred to as fixed assets) are assets controlled by administrative institutions to meet the needs of their own business activities or other activities, with service life and unit value above the specified standards, and basically maintain the original material form in the process of use, including houses and structures, special equipment, general equipment, cultural relics and exhibits, books, archives, furniture, appliances, fittings, animals and plants, etc. Doing a good job in fixed assets management is of great significance for improving the overall level of state-owned assets management of administrative institutions, better serving and ensuring the performance of duties and career development of units.
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January 6, 2020
January 6, 2020
After 10 months of technical communication and demand confirmation, Shanghai Leanwo signed a formal cooperation agreement with Siemens China. Shanghai Leanwo will bring prodog, propass and other products to Siemens China energy division to provide maintenance tools, tool life cycle management, rapid inventory and complete set control on containers, so as to help Siemens China Energy Division improve work efficiency and business level.
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November 4, 2019
November 4, 2019
上海联物中标宁波市公共交通集团公司RFID固定资产管理项目。在该项目中,上海联物提供整套RFID软硬件,实现对所有公交车进行数字化标示,并实现固定资产的极速盘点、固定资产全生命周期管理。集团财务部人员可对固定资产进行及时、有效的全方位管控。输出:《盘点报表》、《全生命周期查询》、《固定资产审批数字化管理》。
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December 28, 2018
December 28, 2018
2018年,上海联物发布针对档案的数字化管理系统,为档案插上数字化的翅膀,使得档案从盘点、借还、寻找到全生命周期管理更加可靠、高效。切实降低档案管理人员劳动强度,提高档案利用率和安全性。
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August 4, 2018
August 4, 2018
Shanghai LianWu won the bid for the RFID data automatic entry project of the silicon wafer production line of Suzhou GCL Photovoltaic Technology Co., Ltd. In this project, Shanghai Leanwo will provide a complete set of RFID software and hardware to solve the automatic data entry of photovoltaic production line trays and flower baskets, so as to realize the automatic work reporting of materials in the production process and automatically judge abnormalities. At the same time, the system will also conduct data docking with GCL MES system.
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