Scalable Enterprise Systems: Real-Time Promising for Authority Domains Operating in a Build-to-Order Mode

该赠款用于研究面向动态订单到达的离散按订单构建环境的可扩展实时订单技术。该项目中用于计算到期日期的算法将考虑当前时间阶段的资源和材料的可用性、现有的承诺以及当前的系统状态。各种替代资源或材料的存在增加了问题的组合复杂性。为了提高性能，将考虑结合具有良好可扩展性的最优算法，如最短路径算法和计算启发式算法。要检查的启发式方法之一是基于一个新颖的，甚至是有争议的想法：为了保证，资源能够处理操作的时间可以通过仅考虑部分有序的资源任务计划来足够准确地估计。目前对这一原则的支持基于实际经验，但缺乏科学证据。在这个项目中，工业工程和计算机科学交叉领域的联合研究是必要的，因为在大规模系统环境中进行研究时，算法和计算方面是交织在一起的。算法将在面向对象、内存驻留、多线程架构中实现，以进行详细的研究和实证评估。这个项目的一个关键原则是结果是高度可伸缩的。订单承诺可能是最重要的操作级活动。根据消费者或其他企业的要求做出严格但可实现的承诺的能力是一项基本的业务需求。令人惊讶的是，这方面的研究很少。这项研究的结果将提高这些承诺的准确性和速度。这项研究直接适用于越来越多的制造商通过互联网直接向客户销售按订单生产的产品，也适用于未来在动态重组的业务伙伴之间自由地进行协作商业的未来。

This grant funds investigation of scalable techniques for real-time order promising by discrete build-to-order environments facing dynamic order arrivals. The algorithms to be developed in this project for calculating due dates consider current time-phased availability of resources and material, existing commitments, and the current system state. The presence of various alternate resources or materials increases the combinatorial complexity of the problem. To increase performance, a combination of bothoptimal algorithms with good scalability such as shortest path and computational heuristics will be considered. One of the heuristics to be examined is based on a novel, even controversial, idea: for the purposes of promising, the time when a resource will be able to process an operation can be estimated with sufficient accuracy by considering only a partially ordered resource task plan. Current support for this principle is grounded in practical experience but little scientific evidence. Joint research occurring at the intersection of Industrial Engineering and Computer Science is necessary in this project because algorithmic and computational aspects are intertwined when performing research in a large-scale systems context.Algorithms will be implemented in an object-oriented, memory-resident, multi-threaded architecture for detailed study and empirical evaluation. A key tenet of this project is that the results be highly scalable.Order promising is perhaps the most important operational-level activity. The ability to make tight, yet achievable, promises in response to requests from consumers or other businesses is a fundamental business requirement. Surprisingly, very little research has been done in this area. Results of this research will increase the accuracy and speed with which these promises can be made. This research is directly applicable to manufacturers that increasingly are selling built-to-order products direct to customers via the Internet and to a future where collaborative commerce freely occurs among dynamically recombinant business partners.