Product Specification Analysis for Modular Product Design Using Big Sales Data

Big data on product sales are an emerging resource for supporting modular product design to meet diversified customers’requirements of product specification combinations.To better facilitate decision-making of modular product design,correlations among specifications and components originated from customers’conscious and subconscious preferences can be investigated by using big data on product sales.This study proposes a framework and the associated methods for supporting modular product design decisions based on correlation analysis of product specifications and components using big sales data.The correlations of the product specifications are determined by analyzing the collected product sales data.By building the relations between the product components and specifications,a matrix for measuring the correlation among product components is formed for component clustering.Six rules for supporting the decision making of modular product design are proposed based on the frequency analysis of the specification values per component cluster.A case study of electric vehicles illustrates the application of the proposed method.

Customer-oriented Configuration Model for Modular MechatronicProducts: Application in Industrial Robot Design

The contradiction between manufacturing costs and customer demand of mechatronic products can be balanced by configuration design. The article proposes a customer-oriented configuration model for modular mechatronic products which makes up the shortfall in meeting customer needs for the traditional configuration de- sign mode. The elements of the modular mechatronic products configuration model including module, module connection and configuration knowledge are analyzed. And a formal representation method for configuration model elements combining with their characteristics is given. Based on the above research, an abstract configuration model of modular mechatronic products is designed. Finally, an industrial robot is used as an application exam- ple to build a customer-oriented industrial robot configuration model.

基于MakeReal3D的MPS虚拟仿真实验系统设计

为解决传统模块化生产系统(Modular Production System,MPS)教学实验设备投入费用高、可拆装性差、实验时间受限等问题,本研究以UG软件为建模工具,基于MakeReal3D平台设计并开发了MPS虚拟仿真实验系统。该系统具有设备认知、模块化系统搭建、虚拟拆装、生产工艺仿真等多种功能,完整再现MPS实验过程。MPS虚拟仿真实验系统3D沉浸式的交互模式,激发了学生的学习兴趣,加强了学生对专业知识的理解,培养了学生的动手能力和实践能力。

五站式MPS触摸屏的研究和应用

在介绍了模块化生产加工系统MPS结构和功能的基础上,着重研究了运用EV触摸屏组态与PROFIBUS-DP现场总线对MPS系统的改造。S7-300PLC作为主站通过总线与S7-200PLC通信,触摸屏通过MPI适配器与S7-300PLC通信,构成控制网络;通过EV5000组态软件实现触摸屏组态,完成对MPS系统现场单元的动态过程监控。

基于KingView的MPS组态监控系统设计

以德国FESTO公司的MPS模块化生产加工系统为基础,设计了一种基于Kingview组态王的自动化生产线实时在线监控系统.系统采用西门子S7-300系列PLC作为主要控制设备,完成自动控制系统的硬件和软件设计,实现PLC与上位机之间的通信,并利用工业组态软件KingView完成监控程序的开发,实现对该系统的实时在线监控.

基于MPS的自动加工线在线监控系统的设计

以德国F esto公司的M PS模块加工系统为基础,设计了一种基于M PS(内含送料、检测、加工、取件及分拣5个单元)的零件自动加工控制实验系统。系统采用华光PLC作为主要控制设备,完成自动控制系统的硬件和软件设计,实现PLC与上位机之间的通信,并且利用工业组态软件完成了监控程序的开发,实现了对该系统的在线监控。

基于PLC控制的MPS系统加工站设计

MPS系统是一种实现自动化生产加工单元的上料、搬运、加工、安装、分类等功能的模拟操作平台。对MPS的加工站单元进行总体结构及硬件和软件设计。运用PLC技术设计MPS系统加工站,采用西门子S7-200CPU-224PLC和EM223扩展模块实现旋转工作台的精确定位、钻孔模块加工模拟、检测模块质检、工作台物流传送。实际应用表明,所设计的加工站能够满足模块化生产系统的实用化要求。

谈创新型MPS在机电一体化专业教学中的作用

为了提高高职机电一体化专业学生的专业技术能力和职业综合素质,针对学生不能经常在实际生产线上进行实训的问题,辽宁轨道交通职业学院教师自主研发了一套模拟自动化生产线的创新型MPS(Modular Production System),为机电一体化专业开展项目教学和综合实训提供了一个理想的平台。学生通过模拟实际生产线上复杂的生产加工过程,能够获得包括电气控制原理、机械构造、气动控制、PLC程序设计及调试等多方面的综合训练,大大提高了学生对专业知识的综合运用能力和企业适应能力。

基于组态王的MPS监控系统设计

介绍了一个基于苏州工业职业技术学院模块化生产实验装置的组态监控系统。阐述了该系统的通讯设计、PLC控制设计、组态监控画面及动作设计的思路及设计经验。利用国产组态软件"组态王"开发,人机界面友好,操作简单方便,便于实验实训教学。

物联网环境下基于触摸屏的微小型农业机械MPS研究

触摸屏是应用于工业现场的一种监控设备,在工业控制中的应用越来越广泛。本文首先提出与构建了MPS物联网架构,其次分析了模块化生产加工系统MPS流程,通过EV5000组态软件实现触摸屏组态,完成对MPS系统现场单元的动态过程监控。

Neighborhood Modularization‑based Artificial Bee Colony Algorithm for Disassembly Planning with Operation Attributes

The recycling and remanufacturing of end-of-life products are significant for environmental protection and resource conservation.Disassembly is an essential process of remanufacturing end-of-life products.Effective disassembly plans help improve disassembly efficiency and reduce disassembly costs.This paper studies a disassembly planning problem with operation attributes,in which an integrated decision of the disassembly sequence,disassembly directions,and disassembly tools are made.Besides,a mathematical model is formulated with the objective of minimizing the penalty cost caused by the changing of operation attributes.Then,a neighborhood modularization-based artificial bee colony algorithm is developed,which contains a modular optimized design.Finally,two case studies with different scales and complexities are used to verify the performance of the proposed approach,and experimental results show that the proposed algorithm outperforms the two existing methods within an acceptable computational time.

结构化三层次Petri网及在MPS监控系统中的应用

基于模块化制造系统(MPS)的监控问题,提出了一种扩展的结构化三层次Petri网建模方法,把MPS系统从整体、局部再到细节进行不同层次的描述;使用消息库所来解决Petri子网间的通信问题。该建模方法,有效地降低了系统建模的复杂度,增强了开发的相应监控系统可靠性与可重用性。根据此模型开发MPS监控软件,验证了该建模方法的有效性。

Optimal Threshold Determination for the Maximum Product of Spacing Methodology with Ties for Extreme Events

Extreme events are defined as values of the event below or above a certain value called threshold. A well chosen threshold helps to identify the extreme levels. Several methods have been used to determine threshold so as to analyze and model extreme events. One of the most successful methods is the maximum product of spacing (MPS). However, there is a problem encountered while modeling data through this method in that the method breaks down when there is a tie in the exceedances. This study offers a solution to model data even if it contains ties. To do so, an optimal threshold that gives more optimal parameters for extreme events, was determined. The study achieved its main objective by deriving a method that improved MPS method for determining an optimal threshold for extreme values in a data set containing ties, estimated the Generalized Pareto Distribution (GPD) parameters for the optimal threshold derived and compared these GPD parameters with GPD parameters determined through the standard MPS model. The study improved maximum product of spacing method and used Generalized Pareto Distribution (GPD) and Peak over threshold (POT) methods as the basis of identifying extreme values. This study will help the statisticians in different sectors of our economy to model extreme events involving ties. To statisticians, the structure of the extreme levels which exist in the tails of the ordinary distributions is very important in analyzing, predicting and forecasting the likelihood of an occurrence of the extreme event.

A STUDY ON THE METHOD FOR PRODUCTION PLANNING OF SIMILAR SINGLE-PIECE MAKE TO ORDER

In this article, a kind of new method for production planning was put forward on the basis of traditional planning method by analyzing the characteristics of similar single-piece make to order(abbreviated as SSMO). Three points are important here: weakening the master production scheduling(MPS), stressing the rough scheduling(RS) and approving the components and parts scheduling(CPS).

Optimal Threshold Determination for Securities Exchange Volumes Using Improved Maximum Product of Spacing Methodology

To Statisticians, the structure of the extreme levels which exist in the tails of the ordinary distributions is very important in analyzing, predicting and forecasting the likelihood of an occurrence of extreme event. Extreme events are defined as values of the event below or above a certain value called threshold. A well chosen threshold helps to identify the extreme levels. Several methods have been used to determine threshold so as to analyze and model extreme events. One of the most successful methods is the maximum product of spacing (MPS). However, there is a problem encountered while modeling data through this method in that the method breaks down when there is a tie in the exceedances. This study offers a solution to model data even when it contains ties. In the study, a method that improved MPS method for determining an optimal threshold for extreme values in a data set containing ties was derived. The Generalized Pareto Distribution (GPD) parameters for the optimal threshold were derived and compared to GPD parameters determined through the standard MPS model. The study improved the standard MPS methodology by introducing the concept of frequency and used Generalized Pareto Distribution (GPD) and Peak over threshold (POT) methods as the basis of identifying extreme values. The improved MPS models and the standard models were applied to Nairobi Securities Exchange (NSE) trading volume data to determine the GPD parameters for different sectors registered in NSE market and their performance compared. It was realized that the improved MPS model performed better than the standard models. This study will help the Statisticians in different sectors of our economy to model extreme events involving ties.

基于数字孪生的模块化生产系统实践教学平台设计与实现

该文将数字孪生技术应用于模块化生产系统(modular production system,MPS)的智能化改造中,构建了基于数字孪生的MPS实践教学平台。依托监控系统和虚实交互等关键技术,增加了MPS数字孪生体的虚拟建模、虚实联调和PLC程序软件在环/硬件在环调试等实训环节;验证了MPS实践教学平台设计方案的可行性;制定了新的教学框架及详细的实训内容和考核方案。最后,将实训内容与大学生竞赛相结合,提高了学生对智能制造、工业生产的认知能力和实践动手能力。

模块化视角下关键核心技术创新模式研究——基于S企业的案例分析

模块化的核心效能在于降低复杂度,而关键核心技术攻关在本质上也是一种复杂系统。因此,基于模块化视角,根据“动因—过程—结果”的研究框架,以从传统研发模式转变为模块化创新模式的S企业为研究对象,采用探索性单案例研究方法,沿着“产品—组织模块化”的脉络,通过技术、组织、环境层面探究其实施关键核心技术创新的动因、过程及结果。结果发现:模块化赋能S企业关键核心技术创新,成果主要体现在技术创新、产品创新及商业模式创新三方面;技术能力多样化、信息技术发展、合作创新网络、国家发展需要及市场需求推动企业通过模块化实现关键核心技术创新;产品模块化通过联结用户需求和产品特征、灵活组合和集成、独立生产和质量控制、可持续维护和升级赋能企业关键核心技术创新;组织模块化通过整合创新资源,促进企业内、外部组织模块化赋能创新;创新过程中,产品模块化推动组织模块化,模块化组织渗透于模块化产品全生命生产周期。由此建议,企业要敢于将复杂产品进行分解与重新组合,采用独特的技术创新模式推陈出新。

如何创新以规避不正当竞争侵害:模块创新还是架构创新

创新获益不足制约着转型经济企业核心技术长远发展,不正当竞争侵害是创新获益的主要障碍。基于创新获益框架和战略三脚架视角,探讨模块创新和架构创新策略对创新者遭遇不正当竞争侵害的影响以及环境特征的调节作用。采用问卷调研法,通过分析238家企业的实地调研数据发现:①转型情境下模块创新容易遭受不正当竞争侵害,架构创新不容易遭受不正当竞争侵害;②竞争强度有助于增强模块创新和架构创新与不正当竞争侵害的关系,制度空缺会削弱模块创新和架构创新与不正当竞争侵害的关系;③行业地位会削弱架构创新与不正当竞争侵害的关系,对模块创新与不正当竞争侵害关系的影响作用不显著。据此,提出创新企业应根据自身所处情境特征选择合适的创新策略,以规避不正当竞争侵害,提高创新获益。

数字经济背景下基于岗课赛证综合育人视域的模块化课程建设——以《数字旅游运营与管理》为例

按照国务院印发的《关于深化现代职业教育体系建设改革的意见》精神,课程建设要以学生全面发展为中心、以经济社会发展为基础。本文以《数字旅游运营与管理》课程为例,探究数字经济背景下基于岗课赛证综合育人视域的模块化课程建设。学生端与产业端融通,构成“依岗引流,理实一体;课程提质,内外相通;竞赛赋能,动静结合;证书培优,识探共生”的岗课赛证综合育人逻辑,进而形成“引领岗位种群,确立课程体系;精益课程标准,整合课程要素;改革竞赛形式,完善课程资源;优化证书结构,丰富课程方法”的模块化课程建设路径。

基于工段模块化的真丝丝巾产品碳足迹核算与评价

为帮助丝绸企业快速、清晰地了解产品的减排空间,并推动全产业链绿色低碳发展,基于工段模块化碳足迹核算方法,对两款丝巾产品(斜纹绸和素绉缎)在两种缫丝工艺下的工业碳足迹进行核算与评价,并分析产品款式和加工工艺对碳足迹结果的影响。结果表明:真丝斜纹绸丝巾产品碳足迹为12.02 kgCO_(2)e/条(缫丝工艺1)和11.58 kgCO_(2)e/条(缫丝工艺2),真丝素绉缎丝巾产品碳足迹为5.43 kgCO_(2)e/条(缫丝工艺1)和5.28 kgCO_(2)e/条(缫丝工艺2)。采用缫丝工艺2的产品碳足迹结果为采用缫丝工艺1的96.31%~97.27%,其差异源于原料消耗量以及供应商能源结构的不同。两款丝巾产品的印花工段碳足迹贡献最大,约为产品碳足迹的43.76%~54.87%;真丝素绉缎丝巾产品包装工段碳足迹贡献超过缫丝工段,仅次于印花工段,原因是素绉缎丝巾尺寸规格更小,同重量下比真丝斜纹绸丝巾消耗更多包装材料。基于工段模块化的真丝丝巾产品碳足迹核算方法可用于快速核算类似产品的碳足迹,分析款式和工艺差异对产品碳足迹的影响,为产品设计阶段降碳和供应链减排提供参考。