• 主题
高级搜索  >
历史搜索 清空历史
首页> 美国卫生研究院文献>SpringerPlus >An improved hybrid multi-criteria/multidimensionalmodel for strategic industrial location selection: Casablanca industrial zones as a casestudy
【2h】

An improved hybrid multi-criteria/multidimensionalmodel for strategic industrial location selection: Casablanca industrial zones as a casestudy

机译：改进的混合多标准/多维战略性工业区位选择的模型：以卡萨布兰卡工业区为例研究

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务，本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文，但由于OA文献来源多样且变更频繁，仍可能出现获取不到、文献不完整或与标题不符等情况，如果获取不到我们将提供退款服务。请知悉。
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In this paper, we examine the issue of strategic industrial location selection in uncertain decision making environments for implanting new industrial corporation. In fact, the industrial location issue is typically considered as a crucial factor in business research field which is related to many calculations about natural resources, distributors, suppliers, customers, and most other things. Based on the integration of environmental, economic and social decisive elements of sustainable development, this paper presents a hybrid decision making model combining fuzzy multi-criteria analysis with analytical capabilities that OLAP systems can provide for successful and optimal industrial location selection. The proposed model mainly consists in three stages. In the first stage, a decision-making committee has been established to identify the evaluation criteria impacting the location selection process. In the second stage, we develop fuzzy AHP software based on the extent analysis method to assign the importance weights to the selected criteria, which allows us to model the linguistic vagueness, ambiguity, and incomplete knowledge. In the last stage, OLAP analysis integrated with multi-criteria analysis employs these weighted criteria as inputs to evaluate, rank and select the strategic industrial location for implanting new business corporation in the region of Casablanca, Morocco. Finally, a sensitivity analysis is performed to evaluate the impact of criteria weights and the preferences given by decision makers on the final rankings of strategic industrial locations.Electronic supplementary materialThe online version of this article (doi:10.1186/s40064-015-1404-x) contains supplementary material, which is available to authorizedusers.
机译：在本文中，我们研究了在不确定的决策环境下建立新的工业公司的战略性工业区位选择问题。实际上，工业区位问题通常被认为是商业研究领域中的关键因素，它与自然资源，分销商，供应商，客户和大多数其他事物的许多计算有关。基于可持续发展的环境，经济和社会决定性要素的整合，本文提出了一种混合决策模型，该模型将模糊多准则分析与分析能力相结合，OLAP系统可以为成功和最佳的工业区位选择提供分析能力。提出的模型主要包括三个阶段。在第一阶段，已经成立了一个决策委员会来确定影响选址过程的评估标准。在第二阶段，我们基于程度分析方法开发模糊AHP软件，以将重要性权重分配给选定的标准，这使我们可以对语言的模糊性，歧义性和不完全知识进行建模。在最后阶段，将OLAP分析与多标准分析相结合，将这些加权标准用作输入，以评估，排名和选择战略性工业位置，以便在摩洛哥卡萨布兰卡地区建立新的商业公司。最后，进行敏感性分析以评估标准权重和决策者的偏好对战略性工业区最终排名的影响。电子补充材料本文的在线版本（doi：10.1186 / s40064-015-1404-x ）包含补充材料，可供授权使用用户。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号