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In this paper, an enhanced risk evaluation and control method on semiconductor Risk Start Agreement (RSA) phase, a risk production period, is reported. Firstly, this method creates a reliability risk evaluation model which defines 5 risk levels with maximal allowed wafer start quantity on RSA phase according to tested data. Then, we also optimize multi-systems (RSA and Order Management System (OMS)) to realize systematical and automatic control on different risk levels. Over 4 years' practice shows this method can be well used in risk management on semiconductor risk production period.

In order to solve the problem of isolated order information among production processes, which leads to the information cannot be transferred timely and shared effectively, a system of information tracking is presented in this paper. The BPMN (Business Process Model and Notation) specification is adopted to establish order process model. The model can be used to describe the company's core business and the order information transmission process with the process-oriented thinking. Then Web standard-JSF (Java Server Faces) is introduced to develop the system. The operation results show that order information can be transferred timely, fast, accurately, which avoids the delays or inaccuracies caused by manual operation. Meanwhile the managers can follow the tracks of the order progress at all times and provide clients with advice. The process-based order management system improved the information management ability of the printing enterprise and laid foundation for the realization of informatization enterprise-wide.

The limits of traditional (static) policies are well-known in many areas of computer science and information security, and are extensively discussed in the literature. Although some flexibility has been achieved with the introduction of dynamic policies, these efforts have only addressed a fraction of the requirements necessary to secure today's enterprises. Currently, no feedback mechanisms are in place to evaluate the effectiveness or economic impacts of static or dynamic policy implementation. Here, we address the requirement for feedback and present a policy for the next generation. This is a policy that includes a dynamic feedback response to the effectiveness of changes. The structure of this new type of policy, called a ``management system'', is borrowed from discrete event system (DES) theory and functions as a control loop. A management system consists of four elements (control system, sensor, controller, and actuator) that are involved in a control law. Two types of management system can be defined. A simple management system (1$^\textrm{st}$ order management system) responds to and regulates only perturbations. An advanced management system (2$^\textrm{nd}$ order management system) has an overarching target function that influences the controller. This target function is usually economically oriented. Finally, we compare our new type of policy with two management systems that follows the Plan-Do-Check-Act (PDCA cycle) model. We investigate the two PDCA cycle standards ISO/IEC 27001 (Information Security Management System, ISMS) and BS 25999 (Business Continuity Management System, BCMS). We also show that the new type of policy can be applied to management systems based on a PDCA cycle.

This chapter deals with the changeability of order management systems (OMS). OMS are here referred to complex commercial off-the-shelf software (CCOTS) used, for example, for enterprise resource planning (ERP). Due to turbulent conditions in the business environment, a permanent need for change is the defining challenge for enterprises. However, far too often the rigidity of today’s CCOTS-OMS does not allow users to implement the intended changes in the business organization. In order to deal with this challenge, a cybernetic model of order management is presented in this chapter. Additionally, a decision oriented software engineering and architectural design for CCOTS-OMS is sketched. The authors are convinced that these approaches enhance the changeability of the development and operation of CCOTS-OMS as well as their co-operation with a business organization.

The RADARSAT program includes the Canadian Data Processing Facility (CDPF) as its flagship centre for data production. This installation is designed to produce RADARSAT data to the maximum theoretical resolution possible as dictated by the satellite design and with stringent throughput and turnaround requirements. During the satellite commissioning, the CDPF exercised its various features and demonstrated some of the capabilities of the system. These included (1) producing full resolution data products, (2) providing fast turnaround data to operational users in less than 4 hours and (3) generation of ScanSAR products exceeding 500 km of swath width. This paper describes testing of the fully integrated processing and order management system using data acquired by the satellite during the system commissioning. Results of throughput testing and preliminary image quality are provided.

The keys to the success of a semiconductor foundry fab are based on order fulfilment and customer satisfaction. The main objective of order fulfilment is to deliver the products on time. However, many processes, including due-date setting, planning and scheduling of the order and real-time shop-floor operations, are involved in accomplishing this goal. In order to enhance the customer satisfaction, the foundry company should not only promise on-time delivery but also provide real-time information about orders. A virtual foundry fab can realise these two important issues, and is constructed based on distributed agents and a proposed event-driven platform. The core of the virtual foundry fab is the order fulfilment process. The process is triggered by the customers' orders in the foundry fab environment and handled by the order management system. This paper focuses on the entire order fulfilment process. It includes the order management process, production planning, lot priority setting, tool capacity allocation, shop-floor operation and event monitoring processes. Each subsystem is established as an agent and performs its task on a distributed framework. The results show that the overall virtual foundry fab can be easily constructed using distributed multiple agents.