What is Inventory management? Inventory management is a critical component of supply chain management that involves overseeing and controlling the flow of goods from manufacturers to warehouses and, ultimately, to retailers or end consumers. The primary goal of inventory management is to ensure that Solvay maintains optimal inventory levels to meet customer demand while minimizing holding costs and the risk of stockouts or overstock situations. Overview of Inventory Management Application This application is a new inventory model responsible for providing data from both source system, PF1 and WP1, in a single model. It works at operational detailed level (material document) and also non cumulative evolution data (at batch level). This model gives the stock according to the type of movement/processing like mentioned by SAP papers regarding the new inventory, coming from 2LIS_03_BX / 2LIS_03_BF, such as to perform the valuations and revaluations according to the changes in price definition in the material x plant x valuation type and reference dates from MBEW / MBEWH. Key Processes |
Describe the key User profiles that exist for the application. General role/Viewer role: Approver role: |
Target Users: Around 200 worldwide users and running the reports ~400 times per month. |
VERSION | DATE | MODIFIED BY | DESCRIPTION |
0.01 | dd.mm.yyyy | <Insert name> | Initial draft |
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Capture the business process that the application supports . This can be describe through a process diagram or a business capability model
The provider creates a key like the inventory model using plant, material, batch and date reference for summing all inbound and outbound quantity/ values linked with the in transit financial process.
AMDP
Information about the existent Workbooks and the respective BW queries.
| Reports | Definition | Prompts | BW Workbook Query | Query Technical Name |
|---|---|---|---|---|
This section should contain a table with the business objects used in the reports and the link for the Data Catalog.
Data Catalog Link: XXXXXX
| Data Domain | Business Object (Leanix) | Business Object Description (used whenever we don't have this in Leanix) |
|---|---|---|
| ex: Finance | ex: Customer | |
This section will approach the concepts/definitions that will be used in all the reports and required to understand the data from the reports.
Could be specific fields, closing activities, additional information to work and understand the reports.
BW query with filter to get only the 10 GBUs used in the SAC dashboard, material and plants not obsoletes and with the valuation class corresponding to relevant according to the business units.
The provider CPMMIM03R provides two queries because of the volume of data processed by the total stock in Rhodia model; BW_QRY_CPIMMM03R_0002 (only CS) and BW_QRY_CPIMMM03R_0001 (other GBUs).
Calculation view based on the query bw_qry_cpimmm03*_0001, filtering the previous month and the situations where the batch expire date or manufacture date from batch is not initial. The data come back to BW by the datasource CV_MM_IM_ABMMIM05*_M1 (WBP_HANAIV).
BW query with filter to get only the stockt type 'C', 'D' or 'E', the 10 GBUs used by the SAC dashboard, material and plants not obsoletes and with the valuation class corresponding to relevant according to the business units.
The are two DTP when retrieving data to the provider ABMMIM06*, M-3 → M-1 and M-6 → M-4.
The provider concatenate the results respecting the sequence batches blocked, obsolete and slow moving, if the same batch is classified in more than one condition.
AMDP
Once the provider concatenates the results respecting the sequence batches blocked, obsolete and slow moving with the corresponding values converted into EUR and quantities in VKG, the objects are order with the differences about the in and out results, split into I (IN) when the values and quantities are assigned at the first time according to the key or they rose, we keep without flag when the values don't change among the months or the difference between IN and the results from the month before, beyond that we classify as O (outbound) when the results reduce or they are not available anymore with the corresponding key in the sequent month.
AMDP
Monthly process chain loaded at the day 05 for getting the data from previous month.
PC_MMIM_19 - MM: IM - M - SMOG Rhodia
PC_MMIM_20 - MM: IM - M - SMOG Solvay
The INIT process has a specific view on top of the ztest query Rhodia (ztest_cv_qry_cpmmim03r_0003) and Solvay (ztest_cv_qry_cpmmim03s_0002). They are ztest as an alternative to set the months to be loaded in the process, reinforcing that is important to have the last 24 months in SMOG.
Once a month.
| Technical Query Name | Query Name | Detail |
| BW_QRY_CPMMIM02_0001 | MM-IM: SMOG (Core) | Master query with all the main objects available in the composite |
| SAC_BW_QRY_CPMMIM02_0003 | MM-IM: SMOG Detailed (SAC) | Query used in the SAC model to detailed information from SMOG |
| SAC_BW_QRY_CPMMIM02_0004 | MM-IM: SMOG x Stock (SAC) | Query used in the SAC model to compare information from stock and SMOG aggregated at plant level. |
| SAC_BW_QRY_CPMMIM02_0005 | MM-IM: Under Observation (SAC) | Query used in the SAC model to control anticipation cases mixed with SMOG. |
List of application role + menu role and explanation if we have several applications role with specials rules.
Role Code | Role Description | Explanation |
|---|---|---|
| ZR_RCS_CA_M03 | IM Stocks | Menu role |
Authorization objects
List of authorization objects mandatory for the application.
Authorization object | Explanation |
|---|---|
| C_COMPCDE__C_AUTHMA | Company authorization scope |
| C_PLANT__C_AUTHMA | Plant authorization scope |
| CPFCTR1_2 | Business unit |
| Domain | <insert name> |
|---|---|
| Application | >insert name> |
| Provider | <insert name> |
This section represents the process with detail information for the application. Can include specific or special cases, complex logics , calculations, flows, among others.
Usability is about the ease with which a User can learn to start using the solution and the ease with which they can use the system. In addition to ease of learning and ease of use, usability also includes areas such as ease of recall, error avoidance and handling, accessibility among others e.g., 99% of metadata entry Users who have use the Maintenance Dashboard should be able to change filters, extract etc., when required. Maintenance data will be centrally stored in the Google Cloud platform, which will be available to other applications e.g., and Dashboards if needed.
Software systems must comply with legal and regulatory e.g., GDPR requirements, this can change depending on country, organisation industry and / or region. The software systems must be secure from unauthorized access. The Maintenance Dashboard will comply with Solvay’s regulations and compliance e.g., access only granted to authorized Users.
Security refers to essential aspects that assure a solution and its components will be protected against unauthorized access or malware attacks. Important considerations related to security aspects of a system are User authentication, User authorization or User access privileges, data theft, malware attacks, data encryption, and maintaining audit trails, e.g., only Users with administrator access shall be able to create new accounts and assign data access privileges to the new accounts e.g.,
Performance defines how fast a software system or a particular section of it responds to certain User actions under a certain workload. In most cases, this metric explains how long a User must wait before the target operation happens e.g., the page renders, a transaction is processed, etc., given the overall number of Users now. Performance requirements may describe background processes invisible to Users, e.g., backup and speed of data transfers.
Reliability is the ability of a solution or its component to perform its required functions without failure under predefined conditions for a specified time / period. Reliability can possibly be specified in terms of average time system runs before failure occurs, percentage of operations completed successfully within a time / period, maximum acceptable failure probability, or number of failures within a period. Reliability aspects are in reference to (but not limited to) evaluation of the system to be considered as reliable, classification of reliability defining failures vs. regular failures, and the impact of failure on business operations. The Maintenance Dashboard will display data from the previous refresh of data.
Scalability refers to the degree to which a solution can evolve to handle increased amounts of work. The increased amount of work could be in terms of the user base, transactions, data, network traffic, or other factors e.g., the system should be able to handle an additional load of a maximum of 5,000 Users every month for the next 6 months without any noticeable performance impacts.
Interoperability is the degree to which the solution is compatible with other components. It is a measure of how effectively the system interoperates with other software systems and how easily it integrates with external hardware devices.
Interoperability aspects to be discussed during elicitation are in reference to (but not limited to) software systems to be interfaced with along with data / messages to be exchanged and any standard data formats, hardware components to be integrated with, and any standard communication protocols to be followed e.g., Order Management system will push the order file into a secured file transfer protocol server from where it will be loaded into the system through a daily job. To guarantee between Google Cloud platform and SAP BW Queries e.g., BW_QRY_MVPMOR01_0002, Solvay has introduced a new tool called Xtract (Xtract).
Availability is the degree to which the solution is operable and accessible when required. It is a measure of time during which the system is fully operational e.g., available for use and sometimes included as a Service Level Agreement (SLA) considering its criticality to the business, e.g., the system shall be at least 99% available on weekdays between 09:00 to 18:30 Central European Time (CET).
Frequency, data, and time of the data refresh in the data product.