Product Data Management Analysis

Product Data management:

Product Data management can be done using a software which handles all the product and process related information in a single and central system. This information consist parts information, models, computer-aided design (CAD) data, manufacturing instructions, requirements, notes and documents. PDM is basis for leading an enterprise and supply chain to greater innovation and productivity.

TeamCenter is the PDM software application used by Mahendra & Mahendra to manage the product data and process information. It is comprehensive data management system which provides a single, secure source for all product knowledge from requirements, documents, specification, CAD, simulation, CAE, manufacturing data etc. TeamCenter

The inventory manager at Mahindra raises a Purchase order (PO) in name of supplier through SAP ERP. The system sends an automatic mail to Accounts department of the supplier to approve the order. Once the accounts team approves the order they will send mail to Design team, production planning team & dispatch team. The Production team takes sufficient raw materials from raw material ware house and starts production as per schedule. The dispatch team sends the required parts to specific location through the logistics partner. The consignment contains a hard copy of the bill and all the technical & quality documents are required by Mahindra. And the same is updated on SAP. Upon receipt of parts at Mahindra the inventory manager cross checks quality and GRN is raised through SAP to accounts. Accounts team at Mahindra process the payment is done via ECS. This completes the PO and mail is send to Accounts team of supplier. Based on the quality of delivery and time taken for delivery, Mahindra each time assigns a supplier rating for all its suppliers in SAP and the suppliers who are also using this SAP system can access this data for improvising the

This would reduce the additional time and resource to enter in the excel and then in SAP and also time for the request, waiting time for the response of the person at the store. This would also prevent any errors due to human interventions.

2) Employee Tracking System:

Problem:

Mahindra has the swiping system which tracks the in-time and out-time of the employees. But the due to lack of proper maintenance of the servers and databases there occur errors.

Whenever a person swipes, this is first entered in a database and then this information is transferred to SAP. In this process sometimes even if a person swipes in, it wouldn’t be reflected in SAP. Due to this, many employees faced a lot of problem in their salary as it would reduce their leave balance. This is leading to two problems, one in their salary and other in their leave balance.

Suggestion:

Past data which is been for many years have to be deleted and saved in some other database of files (as it might not useful at this point of time). Servers and database has to be refreshed and maintained periodically during non-working hours so that no further errors occur.

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