A multi-agent system for sales order processing

A. S. Mondal, A. Jain
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引用次数: 2

Abstract

The increasingly distributed nature of sales order systems results in some nagging, pressing, and crucial issues. These can be solved by the use of agent-based architectures. Growth of the Internet also has opened up possibilities for improving production logistics. Embracing the Internet for order processing can lead to cost-effective, fast, and flexible operations. So the trend now is to treat each customer order separately and make the best use of the Internet to process the order. This is easier said than done. The behavior of elements in the supply chain can no longer be preplanned. Consequently, these elements should have the intelligence to interpret the order, the ability to perceive the resource environment, the autonomy to take rational decisions, and reactivity to change their behavior to adapt to the environment. This is where agent technology can help the manufacturing community. At Infosys work is going on to develop an agent-oriented framework for sales order processing. The framework, which we call Agent-Based Sales Order Processing System (AESOPS), allows logistics personnel to conceptualize , design, and build a production environment as a set of loosely coupled distributed units over a number of physical locations. These production units can interact with each other to process any order to completion in a flexible yet consistent and efficient manner. We will discuss a few salient features of the framework. Desirable Features In a typical sales order processing application a number of stages are involved. The process is initiated with a customer placing an order. The order is reviewed by the Logistics department (See Figure 1). If the product is in Introduction " Customer is king. " This is more evident now than ever before for all industries, manufacturing in particular. Traditionally, manufacturing companies have based their production facilities at a small number of locations. The demand of the product was forecast using sophisticated forecasting methods, and a production plan was prepared accordingly. As long as customers were willing to select from a predefined set of models manufactured by the company, things went smoothly. In today's global and more competitive markets, customers have started demanding customized products. This has led to a situation where erstwhile planning methods go haywire. inventory it is shipped; if not Logistics prepares a plan for raw material inventory and production units for different processing stages taking into account the capacity, resource and time constraints. Jobs are often grouped to reduce cost. …
销售订单处理的多代理系统
销售订单系统日益分散的特性导致了一些恼人的、紧迫的和关键的问题。这些问题可以通过使用基于代理的体系结构来解决。互联网的发展也为改善生产物流提供了可能性。采用Internet进行订单处理可以实现经济高效、快速和灵活的操作。因此,现在的趋势是单独对待每个客户的订单,并充分利用互联网来处理订单。这说起来容易做起来难。供应链中各要素的行为不再是预先计划的。因此,这些元素应该具有解释秩序的智能,感知资源环境的能力,采取理性决策的自主性,以及改变其行为以适应环境的反应性。这就是代理技术可以帮助制造业的地方。印孚瑟斯正在开发一种面向代理的销售订单处理框架。我们称之为基于代理的销售订单处理系统(AESOPS)的框架允许物流人员概念化、设计和构建一个生产环境,将其作为一组分布在许多物理位置上的松散耦合的分布式单元。这些生产单元可以相互作用,以灵活、一致和有效的方式处理任何订单。我们将讨论该框架的几个显著特性。在典型的销售订单处理应用程序中,涉及许多阶段。该流程由客户下订单启动。订单由物流部门审核(见图1)。如果产品在介绍“客户为王”中。对于所有行业来说,这一点比以往任何时候都更加明显,尤其是制造业。传统上,制造公司将生产设施设在少数几个地点。运用先进的预测方法对产品需求进行预测,并据此制定生产计划。只要客户愿意从该公司生产的一组预定义的型号中进行选择,事情就会顺利进行。在当今全球化和竞争更加激烈的市场中,客户已经开始要求定制产品。这导致了一种情况,即以前的规划方法变得混乱。库存它是运输;如果没有,物流会考虑到能力、资源和时间的限制,为不同的加工阶段准备原材料库存和生产单位的计划。为了降低成本,工作经常被分组。...
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