Applying artificial intelligence to the scheduling problem in the ERP system

R. Lujic, G. Simunovic, T. Šarić, N. Majdandžić, Slavonski Brod, R. Lujic, G. Simunovic, T. Šarić, N. Majdandžić
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引用次数: 2

Abstract

The basic enterprise tasks are how to satisfy customer demands, how to fulfil due dates, low prices and undoubted quality. Today most of Croatian enterprises are not able to fulfil those obligations. Usually, enterprises have inappropriate planning, scheduling and launching models. The paper shows structure of Croatian Enterprise Resource Planning System (ERP) that is developed for single and batches production and place of artificial intelligence technologies in development of new generation of EPR system. Through the application of 3-tournament steady-state selection genetic algorithm scheduling process can be improved and plan variants can be achieved according to cost, time or both. At the beginning were only some planning techniques such as line charts, line of balance, organisational appliances. The computer era began the first computer programs so called informational islands. These programs solved only particular problems like problems connected with accounting, bookkeeping or employees.
将人工智能应用于企业资源规划系统中的调度问题
企业的基本任务是如何满足客户的需求、如何按期交货、价格低廉和质量可靠。如今,大多数克罗地亚企业都无法履行这些义务。通常,企业的计划、安排和启动模式都不恰当。本文介绍了克罗地亚企业资源规划系统(ERP)的结构,该系统是为单个和成批生产而开发的,以及人工智能技术在新一代企业资源规划系统开发中的地位。通过应用三锦标赛稳态选择遗传算法,可以改进调度过程,并根据成本、时间或两者实现计划变体。最初只有一些计划技术,如线形图、平衡线、组织用具等。计算机时代开始了第一批计算机程序,即所谓的 "信息孤岛"。这些程序只能解决一些特殊问题,如与会计、簿记或员工有关的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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