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Industrial Logistics Systems Design: A Conceptual and Computational Foundation

工业物流系统设计：概念和计算基础

基本信息

批准号：
0000051
负责人：
Leon McGinnis
金额：
$ 16.72万
依托单位：
Georgia Tech Research Corporation
依托单位国家：
美国
项目类别：
Continuing Grant
财政年份：
2000
资助国家：
美国
起止时间：
2000-06-15 至 2003-05-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=0000051&HistoricalAwards=false
关键词：
Industrial Logistics Systems Design Conceptual

项目摘要

This research project will examine the work of experts as they design industrial facilities, specifically warehouses. The four phases of the research are: observing experts at work and collecting data on their work process and work product; analyzing collected data to develop models of the design process and design decision making; evaluating models and designs through panels of experts; and developing, instantiating, and evaluating a computational architecture and tools to support design decision making. The research approach combines the methods and tools of ethnographic studies, operations research, and information technology for distributed decision making.The successful completion of this research will provide a formal representation of the warehouse design process as practiced by experts, a computational architecture based on the formal representation, and examples of computational tools within the architecture. The research will improve the practice of warehouse design by bringing a consistent, repeatable discipline to warehouse design decision making, thereby enabling the development of commercially viable computational tools. The research will improve teaching by developing a coherent, formal process model, along with industrial case data. The research will impact future research by providing a platform for specific research addressing the optimization of specific warehouse design decisions.

该研究项目将检查专家设计工业设施（特别是仓库）的工作。研究的四个阶段是：观察工作中的专家并收集他们的工作过程和工作产品的数据；分析收集的数据以开发设计过程和设计决策的模型；通过专家小组评估模型和设计；开发、实例化和评估计算架构和工具以支持设计决策。该研究方法结合了人种学研究、运筹学和分布式决策信息技术的方法和工具。这项研究的成功完成将提供专家实践的仓库设计过程的形式化表示、基于形式化表示的计算架构以及架构内计算工具的示例。该研究将为仓库设计决策带来一致、可重复的规则，从而改善仓库设计的实践，从而实现商业上可行的计算工具的开发。该研究将通过开发一个连贯的、正式的过程模型以及工业案例数据来改善教学。该研究将为解决特定仓库设计决策优化的特定研究提供平台，从而影响未来的研究。