Conjoint utilization of structured and unstructured information for planning interleaving deliberation in supply chains

N. Janjua, O. Hussain, Elizabeth Chang, S. M. Islam
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引用次数: 1

Abstract

Effective business planning requires seamless access and intelligent analysis of information in its totality to allow the business planner to gain enhanced critical business insights for decision support. Current business planning tools provide insights from structured business data (i.e. sales forecasts, customers and products data, inventory details) only and fail to take into account unstructured complementary information residing in contracts, reports, user's comments, emails etc. In this article, a planning support system is designed and developed that empower business planners to develop and revise business plans utilizing both structured data and unstructured information conjointly. This planning system activity model comprises of two steps. Firstly, a business planner develops a candidate plan using planning template. Secondly, the candidate plan is put forward to collaborating partners for its revision interleaving deliberation. Planning interleaving deliberation activity in the proposed framework enables collaborating planners to challenge both a decision and the thinking that underpins the decision in the candidate plan. The planning system is modeled using situation calculus and is validated through a prototype development.
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供应链规划交错审议中结构化与非结构化信息的联合利用
有效的业务规划需要对信息进行无缝访问和智能分析,以使业务规划人员能够获得增强的关键业务洞察力,从而支持决策。目前的业务规划工具只提供结构化业务数据(即销售预测、客户和产品数据、库存细节)的见解,而没有考虑到驻留在合同、报告、用户评论、电子邮件等中的非结构化补充信息。在本文中,设计并开发了一个计划支持系统,使业务计划人员能够同时利用结构化数据和非结构化信息来开发和修改业务计划。这个计划系统活动模型包括两个步骤。首先,商业策划人员使用计划模板制定候选计划。其次,将候选方案提交合作伙伴进行修改审议;拟议框架中的规划交叉审议活动使协作规划者能够挑战候选计划中支持决策的决策和思维。利用情景演算对规划系统进行了建模,并通过原型开发进行了验证。
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