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Spreadsheet Usage: Some New Challenges and Opportunities

机译:电子表格的使用:一些新的挑战和机遇

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Electronic spreadsheet models and modeling (ESMs) have constituted a very important area of organizational and end-user computing for well over a decade. Given the importance of ESM, a substantial amount of research has already been aimed at various related issues and a specialinterest group SPRIG (Spreadsheet Productivity Research Interest Group, http:// sprig.section.informs.org/) exists in the INFORMS organization. In this concept paper, I briefly review the existing literature. Then I concentrate in more detail on some new needs related to data warehousing and data mining that arise due to recent developments in policy capturing and related estimation methods. Ragsdale's (2001) book discusses applications to virtually every functional area of business and to the standard topics of management science. More specialized application research has appeared, such as budgeting (Troutt, Yew, & Zhang, 2001), simulation (Mumford & Schultz, 1991), simulation optimization (Nersesian, Troutt, & Weinroth, 2001; Troutt, Nersesian, & Weinroth, 2004), and production planning (Troutt, Tadisina, & Clinton, 1991). Solver engines are now readily available for linear and nonlinear programming, as well as genetic algorithms, which enable such applications as simulation optimization in par- ticular. One can expect to see further growth in these capabilities to include other metaheuristic methods such as simulated annealing and Tabu search. The work in Troutt et al. (1991, 2001) seeks to further broaden the capabilities of ESM to a more macroview of general planning applications of ESM. Work on facilitating this view would be of interest and may be related to effective graphical user interfaces.
机译:电子表格模型和建模(ESM)构成组织和最终用户计算的非常重要的领域已有十多年了。鉴于ESM的重要性,已经针对各种相关问题进行了大量研究,INFORMS组织中设有一个特殊兴趣小组SPRIG(电子表格生产力研究兴趣小组,http://sprig.section.informs.org/)。在本概念文件中,我简要回顾了现有文献。然后,我将更详细地介绍由于策略捕获和相关估计方法的最新发展而产生的与数据仓库和数据挖掘相关的一些新需求。 Ragsdale(2001)的书讨论了几乎所有业务功能领域和管理科学标准主题的应用程序。出现了更专业的应用研究,例如预算编制(Troutt,Yew,&Zhang,2001),模拟(Mumford&Schultz,1991),模拟优化(Nersesian,Troutt,&Weinroth,2001; Troutt,Nersesian,&Weinroth,2004)。 )和生产计划(Troutt,Tadisina和Clinton,1991年)。求解器引擎现在可用于线性和非线性程序设计,以及遗传算法,可实现诸如特定的仿真优化之类的应用。可以期望看到这些功能的进一步增长,包括其他元启发式方法,例如模拟退火和禁忌搜索。 Troutt等人的工作。 (1991年,2001年)试图进一步扩大ESM的功能,以更宏观地了解ESM的总体规划应用。简化此视图的工作将引起关注,并且可能与有效的图形用户界面有关。

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