Transaction data

The two following examples are different with respect to the demands, constraints, objective functions and the whole master data and transaction data. They were constructed as reference examples out of real life requirements and real life systems. 

Figure 6.10 shows the data flow of the software tool BayAPS PP for optimal capacity assignment for given stochastic demands. Transaction data about demand and inventories is typically imported from SAP R/3 as indicated, production capacity master data and side conditions are stored in the software tool. Forecasts can be taken from a forecast tool or from SAP R/3. The output ofthe tool is a list ofpriorities of products and their lot sizes, which are optimal based on the presently available information. Only the next production orders are realized before the computation is repeated, and the subsequently scheduled production is only a prediction. 

No commitment of data to database and rollback, so all transaction data lost... 

None, except manual reentry of transaction data... 

Uncertain data By nature, data integration systems need to handle uncertain data. One reason for uncertainty is that data are often extracted from unstructured or semistructured sources by automatic methods (e.g., HTML pages, emails, blogs). A second reason is that data may come from sources that are unreliable or not up to date. For example, in enterprise settings, it is common for informational data such as gender, racial, and income level to be dirty or missing, even when the transactional data are precise. 

Traditional demand management processes use structured transactional data (orders and shipments). Unstructured data sources, such as weather patterns and social sentiment data, are increasingly important sources of insight for market-driven value networks. Unfortunately, unstructured data cannot be used in traditional demand architectures. 

Forging supply chain partnerships Relationships with suppliers and customers are arms length at best, antagonistic at worst. Collaboration up and down the supply chain is limited to transaction data. Efforts are limited to supplier initiatives focused on cost reduction, not revenue increases. Partners collaborate but roles are static. Partners pursue sphere strategies. Trading partners in the supply chain expand their value contributions. 

Similar to partnerships, information systems requirements will spring from many sources. We define the supply chain in terms of both physical movement and information movement. That information might be back-office transaction data or, increasingly, front-office market and sales applications and shop floor decision support. 

Manage data Processes for collecting, integrating, and maintaining data for use in product-producing spheres Includes following industry standards for transaction data formats... 

Data exchange collaboration, where partners exchange information as required, principally to complete day-to-day transactions. Data exchange can have two forms one-way or two-way. 

Supply Chain Event Management (SCEM) Software feature that monitors supply chain transaction data for predefined exceptions or events that require intervention. An example could be a late order. In such a case, the SCEM software would alert designated parties to inform them and suggest interventions. 

Transactional data—e.g., processing time, if automated recording of operations is performed. Aggregates of transactional data are typically used... 

Memory depth (i.e., how many historical records are available) of transactional data is also important. For additional information on data processing issues, data types, and their sources readers are referred to Shapiro (2006). 

Enterprise applications. Legacy systems, ERP systems, specialized applications and service-oriented applications ensure transactional data processing and business process execution. They serve as data sources and consumers to decisionmaking applications mainly custom-built systems supporting specific functional areas of enterprises. Legacy systems are developed on the basis of outdated computing platforms. 

Sales transaction data sharing, the use of mutually agreed metrics, and targets to be achieved in a specific period play a vital role in all these concepts. The same applies to the benefits that follow the increase in supply chain efficiency, namely the reduction of the costs of sales, storage and transport, a shortening of lead times, the better use of production capacity or an increase in supply reliability. 

Business intelligence (BI) software A data warehouse and data mart is the source of all planning (master) data, business rules and transaction data. Analytical tools enable the ongoing maintenance and improvement of the business rules based on actual data 6-Functional supply chain processes (plan) o X ... 

After the construction of the variables, an average of these different variables has been performed in relation to the specific role in the simulation. These averages were added to the transaction data set. In the transaction form we have among other attributes the contract choice and the buyer and seller. Thus, this buyer or seller roles are the specific roles of the participants, and the key... 

The Land Acquisition Act of 1894 empowered state governments to acquire land for any public purpose project. It provides three methods for arriving at the value of land, which were (i) government approved rates, (ii) capitalized value of average annual income from the land, and (iii) prevalent market rate based on the land transactions data. The process of land acquisition under this Act is illustrated in Fig. 34.4. As the figure shows, much depended on the District Collector s satisfaction. 

E-procurement is the automation of an organization s procurement processes using web-based applications. It enables widely dispersed buyers and suppliers to interact, and execute purchase transactions. Each step in the procurement process is captured electronically, and all transaction data is routed automatically, reducing the time and cost of procurement. Properly deployed, e-procurement can deliver tremendous value to enterprises in different ways. A procurement platform is shown in Eig. 4.11. 

Transactional data What has the lead purchased over time ... 

Self-Monitoring independent database Entrance of all transaction data on aii leveis of suppiy chain Direct connection to iocai iT-systems ... 

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