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Role of corporate memory in the global supply chain environment

机译:企业记忆在全球供应链环境中的作用

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Critical knowledge is proliferated among different knowledge owners of a corporate system through the individuals lying inside or outside the system. Extraction of such knowledge is a very crucial requirement for all organisations. This paper presents the role of critical knowledge in the proper functioning of a system by representing it in the form of extensible Markup Language to develop a corporate memory. In order to demonstrate the role of corporate memory in the organisation, a real-world problem of a global supply chain is considered. The problem utilises the concept of corporate memory for the selection of potential suppliers from a set of available suppliers, and further to select the best route from a set of available alternative routes. The objective deals with the minimisation of logistic cost. A fuzzy-based decision-making approach together with the genetic-algorithm-based solution methodology was applied to solve the underlying problem on a set of randomly generated data sets. A comparison between two cases, i.e. the problem with the presence of corporate memory and the problem without corporate memory, was performed. The results obtained reveal the importance of corporate memory in optimising the underlying task (i.e. minimisation of logistic cost). Further, a sensitivity analysis was performed on the various transportation routes to check the deviation in the objective value by varying the problem parameters.
机译:关键知识通过位于系统内部或外部的个人在公司系统的不同知识所有者之间扩散。提取此类知识是所有组织的非常关键的要求。本文通过以可扩展的标记语言形式表示关键知识来开发公司的记忆,从而展示了关键知识在系统正常运行中的作用。为了证明公司记忆在组织中的作用,考虑了全球供应链的现实问题。该问题利用公司记忆的概念从一组可用供应商中选择潜在的供应商,并进一步从一组可用替代路线中选择最佳路线。该目标涉及最小化物流成本。基于模糊的决策方法与基于遗传算法的解决方法一起用于解决随机生成的数据集上的潜在问题。比较了两种情况,即存在公司内存的问题和没有公司内存的问题。获得的结果表明,公司记忆对于优化基础任务(即最小化物流成本)的重要性。此外,对各种运输路线进行了敏感性分析,以通过改变问题参数来检查目标值的偏差。

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