...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>The International Journal of Advanced Manufacturing Technology >A survey of partner selection methodologies for virtual enterprises and development of a goal programming-based approach
【24h】

A survey of partner selection methodologies for virtual enterprises and development of a goal programming-based approach

机译：对虚拟企业合作伙伴选择方法的调查与基于目标编程的发展

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

A virtual enterprise (VE) is a platform that enables dynamic collaboration among manufacturers and service providers with complementary capabilities in order to enhance their market competitiveness. The performance of a VE as a system depends highly on the performance of its partner enterprises. Hence, choosing an appropriate methodology for evaluating and selecting partners is a crucial step toward creating a successful VE. In this paper, we begin by presenting an extensive review of articles that address the VE partner selection problem. To fill a significant research gap, we develop a new goal programming (GP)-based approach that can be applied in extreme bidding conditions such as tight delivery timelines for large demand volumes. In this technique, fuzzy analytic hierarchy process (F-AHP) is used to determine customer preferences for four main criteria: proposed unit price, on-time delivery reliability, enterprises' past performance, and service quality. These weights are then incorporated into the GP model to evaluate bidders based on customers' preferences and goals. We present a case study in which we implement the F-AHP-GP technique and verify the model's applicability, as it provides a more flexible platform for matching customers' preferences.
机译：虚拟企业（VE）是一个平台，可以在制造商和服务提供商之间动态协作，以提高其市场竞争力。作为系统的绩效依赖于其合作伙伴企业的表现。因此，选择适当的评估和选择合作伙伴的方法是创建成功VE的关键步骤。在本文中，我们首先介绍对解决VE合作伙伴选择问题的文章进行了广泛的审查。为了填补显着的研究缺口，我们开发了一种新的目标编程（GP）的方法，可应用于极限招标条件，例如大需求量的紧密交付时间表。在这种技术中，模糊分析层次处理（F-AHP）用于确定四个主要标准的客户偏好：提出单价，可按时交付可靠性，企业过去的性能和服务质量。然后将这些权重结合到GP模型中，以根据客户的偏好和目标评估投标人。我们展示了一个案例研究，我们实施了F-AHP-GP技术，并验证了模型的适用性，因为它为匹配客户的偏好提供了更灵活的平台。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

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