發(fā)布時間：2018-04-29 11:23

  本文選題：eM-plant仿真 + IE方法　； 參考：《江西理工大學》2017年碩士論文

【摘要】：國民生活水平不斷提高,人們的食品健康意識也逐漸加強,促進了以健康飲食為理念的食品市場的發(fā)展,非油炸方便面便是典型代表。然而,在經(jīng)濟全球化的背景下,非油炸方便面面餅的生產(chǎn)方式正逐步向多產(chǎn)品、多生產(chǎn)線的生產(chǎn)模式轉(zhuǎn)化。企業(yè)在實際生產(chǎn)管理過程中,由于生產(chǎn)設備和技術(shù)引進投入的加大,使企業(yè)的人力和能耗成本居高不下。另外,企業(yè)生產(chǎn)規(guī)模的不斷擴大,也增加了車間生產(chǎn)管理的難度。因此,尋求一種可行的方法來解決面餅車間生產(chǎn)效率低和加工周期長等問題,有利于企業(yè)的長遠發(fā)展。本文以A面條生產(chǎn)企業(yè)為研究對象,針對非油炸面餅車間產(chǎn)能不足和訂單排產(chǎn)不合理問題,提出“仿真+優(yōu)化”的方法。針對面餅生產(chǎn)車間和包裝車間前后產(chǎn)能不平衡問題,采用“仿真+基礎IE”的方法。利用eM-plant建立面餅生產(chǎn)線的仿真模型并導入實際生產(chǎn)數(shù)據(jù),得到各工序的仿真生產(chǎn)信息。在此基礎上,采用因果分析法提高員工設備故障分析和解決能力,降低故障發(fā)生率;利用ECRS原則、操作和動素分析等方法規(guī)范員工操作,改善不合理的工位布局,提高員工的作業(yè)效率,減少在制品囤積量;采用5S方法解決物品擺放不合理和車間環(huán)境差等問題,減少作業(yè)時間的浪費。對比優(yōu)化前后的仿真結(jié)果,面餅包裝車間的產(chǎn)能得到了顯著提高,驗證了優(yōu)化方法的有效性。在保證生產(chǎn)過程穩(wěn)定的基礎上,采用基于仿真的遺傳算法(GA)解決因車間訂單排產(chǎn)計劃不合理而導致生產(chǎn)周期長的問題。分析面餅生產(chǎn)車間的訂單排產(chǎn)特點,將排產(chǎn)問題定義為多訂單、多生產(chǎn)線和多約束的非等效并行生產(chǎn)線調(diào)度問題,并構(gòu)建以訂單生產(chǎn)周期最小化為目標的排產(chǎn)數(shù)學模型。利用eM-plant構(gòu)建并行面餅生產(chǎn)線仿真模型,導入訂單生產(chǎn)信息,通過遺傳算法求得近優(yōu)的訂單排產(chǎn)方案。對比優(yōu)化前后的訂單排產(chǎn)方案,結(jié)果表明基于仿真的GA方法優(yōu)于人工經(jīng)驗和優(yōu)先規(guī)則的訂單排產(chǎn)方法,有助于快速求得訂單排產(chǎn)計劃,并減少車間的訂單排產(chǎn)時間。采用面向?qū)ο蠓?gòu)建面餅生產(chǎn)線仿真模型,通過仿真結(jié)果評價面餅生產(chǎn)的運行效果。分別采用IE和GA方法,解決車間產(chǎn)能不足和訂單排產(chǎn)計劃不合理問題,對相關(guān)食品生產(chǎn)企業(yè)提高產(chǎn)能和降低成本,具有一定的理論和實際意義。
[Abstract]:The level of national living is increasing, and people's awareness of food health is gradually strengthened, which promotes the development of the food market with the idea of healthy diet. Non fried instant noodles are typical representatives. However, in the context of economic globalization, the production formula of non fried instant noodle is gradually turning to multi product and multi production line. In the process of actual production management, the enterprise's manpower and energy cost are high because of the increasing input of production equipment and technology introduction. In addition, the continuous expansion of the scale of production has also increased the difficulty of production management in the workshop. Therefore, a feasible method is sought to solve the low production efficiency and processing week of the cake shop. The long term and other problems are beneficial to the long-term development of the enterprise. This paper takes the A noodle production enterprise as the research object, puts forward the method of "simulation + optimization", aiming at the problem of the shortage of production capacity and the unreasonable order production of the non fried noodle shop. The "simulation + base IE" method is adopted to solve the problem of the unbalance of productivity before and after the noodle production workshop and the packaging workshop. Using the eM-plant to establish the simulation model of the cake production line and importing the actual production data, the simulation production information of each process is obtained. On this basis, the cause and effect analysis method is used to improve the employee equipment failure analysis and solving ability and to reduce the failure rate; ECRS principle, operation and mobility analysis are used to standardize the staff operation and improve the disagreement. In order to improve the efficiency of the workers and reduce the amount of hoarding, the 5S method is used to solve the problems of improper arrangement of items and the poor environment of the workshop, and the waste of work time is reduced. The productivity of the pie packing workshop is greatly improved by comparing the simulation results before and after the optimization, which proves the effectiveness of the optimization method. On the basis of the stable production process, the simulation based genetic algorithm (GA) is used to solve the problem that the production cycle is long due to the unreasonable production plan of the workshop order. The characteristics of the order production are analyzed, and the scheduling problem is defined as the scheduling problem of multi order, multi production line and multi constraint non equivalent parallel production line. In order to minimize the production cycle of the order, the simulation model of the parallel cake production line is constructed with eM-plant, the order production information is introduced, and the near optimal order scheduling scheme is obtained by genetic algorithm. The result shows that the simulation based GA method is superior to the artificial experience and the priority rules. The method of order scheduling helps to quickly get order scheduling and reduce the production time of order production. The simulation model of cake production line is constructed by object oriented method, and the operation effect of the cake production is evaluated through the simulation results. IE and GA methods are used to solve the problem of the shortage of production capacity and the unreasonable problem of order scheduling. It is of theoretical and practical significance to improve production capacity and reduce costs in food production enterprises.

【學位授予單位】：江西理工大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：F426.82;F273

【參考文獻】

相關(guān)期刊論文 前10條

1 潘春榮;蔣建曉;;變壓器生產(chǎn)線的仿真與優(yōu)化研究[J];機械設計與制造;2017年03期

2 廖忠情;鄭華棟;叢明;劉冬;劉云飛;;基于Witness發(fā)動機測試線布局優(yōu)化和仿真分析[J];組合機床與自動化加工技術(shù);2016年09期

3 潘春榮;王際鵬;;具有多品種晶圓混合加工的單臂組合設備調(diào)度[J];控制理論與應用;2016年09期

4 徐婧婷;劉賀;郭順堂;;我國方便面食品的發(fā)展方向與技術(shù)需求分析[J];保鮮與加工;2016年05期

5 張國輝;張凌杰;;基于Flexsim仿真技術(shù)的混合裝配線平衡優(yōu)化[J];組合機床與自動化加工技術(shù);2016年06期

6 劉蘭蘭;張曦煌;陳志國;;確定型流水車間調(diào)度的遺傳算法研究[J];計算機工程與應用;2016年12期

7 孟巧鳳;張林搚;董杰濤;鄭宅基;;基于Flexsim仿真的裝配線平衡方法研究[J];計算機仿真;2016年06期

8 張騰飛;馬躍;胡毅;安濤;王帥;郭安;;基于遺傳算法的多目標車間調(diào)度問題的研究[J];組合機床與自動化加工技術(shù);2016年05期

9 周波;;我國非油炸方便面的發(fā)展現(xiàn)狀及前景[J];現(xiàn)代食品;2016年09期

10 王輝;;基于Flexsim仿真的生產(chǎn)線精益優(yōu)化[J];汽車零部件;2015年12期

相關(guān)碩士學位論文 前4條

1 肖碩;結(jié)構(gòu)板生產(chǎn)線產(chǎn)能預測仿真研究[D];北華航天工業(yè)學院;2015年

2 邱伊健;汽車后橋混流裝配線建模與仿真研究[D];南昌大學;2015年

3 王緒涵;液壓支架活塞桿生產(chǎn)線的仿真建模與分析[D];西安科技大學;2014年

4 顧曉芬;基于智能算法的車間生產(chǎn)調(diào)度研究[D];沈陽理工大學;2009年

，

本文編號：1819714