The Web-based Logistics Management System (LMIS) is a component of the Logistics Management Information System (LMIS) of the Directorate General of Family Planning (DGFP). This Web-based LMIS is designed to increase access of the policy formulators, program managers and other stakeholders to logistics data at national level and Regional Warehouse (RWH) level as well. This will allow the policy formulators and program mangers at different level to take data based decisions and/or corrective actions for operation and improvement of supply chain management system.

The Logistics Management Information System (LMIS) of DGFP receives data form 4-tiers distribution system (central ↔ regional ↔ upazila ↔ SDPs) and process the information at central level. Currently monthly 'Contraceptive Distribution and Stock Status Report' of upazila and 'Monthly Issue, Distribution and Stock Balance Report' are sent to LMIS Section in Dhaka through postal services. Both data entry and processing are done centrally at LMIS. Delay in receiving reports causes delay in processing and publishing the report. Sometime it takes 6 weeks to publish the report. The main purpose of the report is not served that way.

Web-based LMIS is aimed at streamlining publication of monthly LMIS report. Earlier, F7B reports from upazila and F7 reports from warehouses, prepared manually by hand, were sent to central LMIS unit of DGFP every month. These reports were entered in LMIS database, calculations were performed and an LMIS report was produced monthly.

Under the Web-based LMIS, after a warehouse receives F7B reports from the upazilas - data entry of F7/F7B reports will be done in computers in respective warehouses, and the data will then be pushed back to central web server for processing using internet/web. Central LMIS will consolidate data from all of the warehouses, accept or reject updates and produce monthly LMIS report. This distributed processing model will ensure -

• Quick data entry
• Timely publication of monthly LMIS report
• Instant availability of data
• Increased efficiency in supply chain