大规模定制企业生产作业计划系统研究

生产计划系统是企业实现大规模定制生产的重要环节,仔细对大规模定制生产特征以及大规模定制物料特征进行了分析,主要基于成组技术和多智能体技术对大规模定制生产计划系统进行了研究,建立了一个由订单处理子系统、零件成组子系统和生产调度子系统组成的大规模定制生产作业计划系统.     

面向大规模定制的供应链驱动模型的研究与应用

大规模定制是在高效率的大规模生产的基础上,通过产品结构和制造过程的重组,运用现代信息技术,新材料技术、柔性技术等一系列高新技术,以大规模生产的成本和速度,为单个顾客或小批量多品种市场定制任意数量的产品的一种生产模式,本文提出了面向大规模定制的推拉型供应链驱动模式,构建了以装配为分离点的供应链模型,并进行了案例研究。     

大规模定制生产的系统协同思想及理论与方法

提出了大规模定制生产有效实施的系统集成和协同思想,强调系统整体规划下的产品设计(包括顾客和市场)、生产过程和供应链管理等多个领域的系统实施;讨论了大规模定制生产核心技术体系为主导的生产协同性,以及大规模定制生产实施技术的集成性.在此基础上,提出了相关的研究问题.     

大规模定制下的供应链优化研究

大规模定制是一种先进的生产模式和管理理念,供应链是将其变为现实的具体途径和手段,大规模定制下的供应链优化可以弥补由于提供定制服务而造成的成本的增加.本文在大系统的框架下,采用分解协调方法对大规模定制下的供应链系统进行优化.     

面向供应链的大规模定制时间阈值理论研究

针对目前大规模定制管理运作策略中存在的主要问题,以探索提升面向供应链环境下的大规模定制生产过程中的客户服务水平为主线,在对用户订单信息特征分析与合理分类的基础上,通过引入时间阈值概念及相关理论作为协调大规模定制中范围经济同客户定制化服务水平之间矛盾的基本解决思路,并分析了影响时间阈值的各主要因素,同时在时间阈值的前提下,提出了面向供应链的大规模定制管理运作多级优化策略的思想。     

交互设计型供应链动态CODP的定位模型及算法研究

与经典MC相比,基于动态CODP的MC,是通过为供应链设置多个CODP,并进行动态调整,实现大规模生产用户定制的产品。它是一种更具优势的供应链系统。其中按照定制形式,可以将其分为选择型供应链与交互设计型供应链。交互设计型供应链由于包含客户自主设计的成分,使得其成为一种更具有一般性与普遍性的生产模式。它的CODP具有产品、设计、生产的三维结构特征,因此定位方式也有了较大的差异。在针对选择型供应链CODP定位研究的基础上,通过分析交互型供应链动态CODP的特征,给出CODP的定位模型,并设计相应的算法。最后以某电动车供应链为例,验证模型及算法的可行性。     

大规模定制战略及我国企业的对策

大规模定制是一种基于顾客价值创新的战略思维，它是将大规模生产与定制生产有机统一，规模经济与范围经济有机统一，成本、产品歧异性和速度有机统一的组合竞争战略。本文认为实施大规模定制战略取决于产品需求状况、企业大规模定制能力、供应链及竞争对手的策略；大规模定制被认为是21世纪的主流生产方式和竞争焦点，我国企业应努力通过提高大规模定制能力来增强竞争力。     

基于供应链中不确定性的生产计划研究

针对供应链管理环境下企业信息的多源性、多态性和不确定性导致企业制定生产计划复杂性和难度的增加,本文以全球供应链为研究背景,分析供应链环境下生产计划信息不确定性的主要根源,从不同角度阐述了供应链信息不确定性对生产计划的影响,指出如何通过信息共享机制与弱化信息不确定性等提高生产计划动态响应性的方法.     

成组技术在水处理设备生产管理中的应用

随着市场对定制化设备需求的不断增加，以非标设计制造和单件多品种生产为代表的大规模定制生产模式逐渐被工厂接受，例如水处理设备、造船、核电装备制造业。由于产品设计不断根据客户需求调整，物料和装配方式不能按照流水线方式标准化，供应链长，品质要求高；交货期和成本管理难度大。国际高端水处理设备均被大型跨国公司如GE、西门子等跨国巨头垄断。     

中药产业的大规模定制模式研究

从实现中药产业现代化角度,运用大规模定制理论,以一个典型中药生产企业为例,探讨实施大规模定制对传统中药产业带来的变革和发展机遇,在此基础上提出中药生产企业大规模定制的实施方案。     

Modelling customer and technical requirements for sustainable supply chain planning

Sustainable supply chains are the need of modern times. In order to make them successful, listening to voice of the customer and integrating them in the design and development phases of supply chains are very important. In this paper, we propose a technique called sustainability function deployment (SFD) developed on the concept of quality function deployment (QFD) to model customer and technical requirements, establish relationship between them and prioritise them for developing sustainable supply chains. SFD gathers customer and technical requirements for sustainable supply chain planning using C-REQ and T-REQ surveys, generates priority of customer requirements using Priority Matrix, performs screening of technical requirements using gap analysis, and generates requirements weights using QFD, thereby providing a structured approach to the decision-makers to select the right areas of improvement. Both the customer and technical requirements are captured from a socio-economic-environmental perspective. Results of application of the proposed technique are provided. The strength of the proposed approach is its novelty in integration of priority matrix and gap analysis in prioritising requirements based on their importance and performance in SFD. Besides, SFD facilitates modelling of complex, interrelated requirements in sustainable supply chain planning.     

第三方物流参与的集群式供应链库存协同控制

将VMI-APIOBPCS模型应用于集群式供应链,构建库存控制模型VMI-APIOBPCS Ⅰ;然后考虑零售商跨链双向补货库存协作,将VMI-APIOBPCS Ⅰ模型扩展为VMI-APIOBPCS Ⅱ模型;进一步引入第三方物流,考虑其跨链双向补货库存协作,构建VMI & TPL-APIOBPCS模型,并利用Vensim...     

Modelling of cluster supply network with cascading failure spread and its vulnerability analysis

In this paper, a new entropy approach is developed to study the vulnerability of cluster supply chain network during the cascading failure spread from a holistic point of view. We use the tools of complex network theory and social network analysis to obtain the network representation of cluster supply chain system and explain its cascading phenomenon. Then we build a new cascading model for cluster supply chain network, and further introduce the concept of network load entropy, to analyse and predict the dynamic behaviours of the vulnerability during the process of failure spreading. Using a cluster supply chain network in an industrial district as a case study, we employ the modelling approach to explore its vulnerability. The simulation results demonstrate that the vulnerability of cluster supply chain network with cascading failures can be identified and predicted efficiently by using the modelling approach. In addition, this work may have practical implications for reducing the cluster supply chain network vulnerability in the cascade control and defence, then obtaining its healthy evolution.     

Structure dynamics control approach to supply chain planning and adaptation

Many of the existing methods and models of supply chain planning and control consider only one supply chain structure and assume it's more or less static in nature. In practice, supply chains have a multi-structural semantics and those multiple interrelated structures (organisational, functional, informational, financial, topological, technological, product, and energy structures) are dynamic and subject to many planned and disturbance-based changes. These changes are tackled by control activities which make planning an adaptive process. Although the supply chain optimal planning domain for static structures has been extensively investigated, the domain of planning and control of supply chains with structure dynamics merits more systematic and critical attention. In this study, an original form of supply chain representation as a dynamic system with changing multi-structural characteristics is developed. The structure dynamics control is a dynamic interpretation of the supply chain (re)synthesis process and aims at both advancing the supply chain (re)planning domain and enlarging the scope of the supply chain analysis domain that is currently rather limited. The developed approach is based on an optimal program control theory, active modelling objects, and structural–mathematical concept blended with mathematical programming. In this paper, we describe its basic features and exemplify possible applications and extensions regarding real planning and control problems faced by international supply chains in recent years.     

An adaptive framework for aligning (re)planning decisions on supply chain strategy,design, tactics,and operations

Over the last decade, a wealth of valuable approaches to supply chain strategic, tactical, and operational planning has been extensively developed. However, conventionally the planning decisions at each of these levels have been considered in isolation from the other levels. Moreover, decisions on supply chain strategy, design, tactics, and operations are interlinked and dispersed over different supply chain structures (functional, organisational, informational, financial, etc.). This study develops a framework to increase the efficiency, consistency, implacability, and sustainability of decisions on how to design, plan, and run supply chains. In this paper it is proposed that comprehensive planning as an adaptive process encapsulates the planning decisions to be interrelated at all the decision-making levels. A conceptual model is described interlinking the supply chain strategy, design, planning, and operations on adaptation principles. Subsequently, a mathematical modelling complex and its realisation in a software environment is presented. This study contributes to developing methodical basics and practical tools to transit from simple open time slots incremental planning to dynamic, feedback-based adaptive supply chain planning. The elaborated framework serves to increase the efficiency, consistency, implacability, and sustainability of decisions on supply chain strategy, design, tactics, and operations. Decisions alignment can help to increase the wealth of organisations by producing demand-corresponding products in the most cost-effective manner through increasing agility, responsiveness, reaction speed to market changes, and continuous comprehensive improvements/adaptation of supply chains.     

A study on investments in the big data-driven supply chain,performance measures and organisational performance in Indian retail 4.0 context

The use of digital technologies such as ‘internet of things’ and ‘big data analytics’ have transformed the traditional retail supply chains into data-driven retail supply chains referred to as ‘Retail 4.0.’ These big data-driven retail supply chains have the advantage of providing superior products and services and enhance the customers shopping experience. The retailing industry in India is highly competitive and eager to transform into the environment of retail 4.0. The literature on big data in the supply chain has mainly focused on the applications in manufacturing industries and therefore needs to be further investigated on how the big data-driven retail supply chains influence the supply chain performance. Therefore, this study investigates how the retailing 4.0 context in India is influencing the existing supply chain performance measures and what effect it has on the organisational performance. The findings of the study provide valuable insights for retail supply chain practitioners on planning BDA investments. Based on a survey of 380 respondents selected from retail organisations in India, this study uses governance structure as the moderating variable. Implications for managers and future research possibilities are presented.     

基于TBC的产业集群与供应链系统集成效应框架模型

以TBC战略为基础,分析了产业集群与供应链系统的集成在战略目标、组织运作、市场整合、知识集成与扩散等方面所产生的效应,构建了一个集成效应框架模型,为产业集群与供应链系统的集成研究提供理论支持和预先分析支持.     

The impact of supply chain analytics on operational performance: a resource-based view

This study seeks to better understand the role of supply chain analytics (SCA) on supply chain planning satisfaction and operational performance. We define the architecture of SCA as the integration of three sets of resources, data management resources (DMR), IT-enabled planning resources and performance management resources (PMR), from the perspective of a resource-based view. Based on the data collected from 537 manufacturing plants, we test hypotheses exploring the relationships among these resources, supply chain planning satisfaction, and operational performance. Our analysis supports that DMR should be considered a key building block of manufacturers’ business analytics initiatives for supply chains. The value of data is transmitted to outcome values through increasing supply chain planning and performance capabilities. Additionally, the deployment of advanced IT-enabled planning resources occurs after acquisition of DMR. Manufacturers with sophisticated planning technologies are likely to take advantage of data-driven processes and quality control practices. DMR are found to be a stronger predictor of PMR than IT planning resources. All three sets of resources are related to supply chain planning satisfaction and operational performance. The paper concludes by reviewing research limitations and suggesting further SCA research issues.     

Integration of manufacturing and distribution networks in a global car company – network models and numerical simulation

Global supply chain practices and their effects have received considerable attention over the last two decades. In the recent past, the need for integration across supply chains has been identified as a key for effective and efficient operations of supply chains. This is observed with the increasing trend of collaborative partnerships among supply chain partners. This paper presents an integrated approach for manufacturing and distribution networks within the supply chain system of a global car company. The paper shows that the integration of manufacturing and distribution networks creates the environment for effective planning of many components and execution/follow-up of those plans. These components include materials, resources, operations/activities, suppliers and customers. The main features of the integration include component integration at individual networks via use of a central warehouse. This integration reduces various interfacing steps between partners and enables representations of relationships (component precedence, parent-component and component-component). The proposed integrated model is numerically tested using past data from one of Japan's auto-makers, based in the emerging economy of Thailand. The paper concludes that the integrated supply network eliminates the need for interfacing of individual networks and enables simultaneous planning of many components as well as forward planning of supply components in global supply chain operations. It also shows that the integrated approach is capable of providing visibility, flexibility, and maintainability for further improvement in the supply network environment.     

What modelling research on supply chain collaboration informs us? Identifying key themes and future directions through a literature review

Although research regarding supply chain collaboration has been increasing, studies reviewing supply chain collaboration remains limited. This review paper categorises supply chain collaboration and identifies different themes in this research field. Articles were collected based on a designed keywords list and specific subject restrictions in citation databases. Text-mining technology and conceptual criteria were used to categorise and screen articles into different categories. Finally, cluster analysis was used to group articles and identify emerging themes. From the year 1999 to 2017, a total of 678 articles regarding supply chain collaboration were found. These were sorted into six categories: levels of collaboration, industries, supply chain stages, company scales, forms/methods of collaboration and typology of article, and into corresponding sub-categories. 380 articles employing modelling approach where collaboration forms the core of analysis were screened for hierarchical cluster analysis, resulting in four clusters: information sharing paradigm, joint decision-making paradigm, resource sharing paradigm and coordinating contract paradigm. Eleven themes were finally identified based on the four clusters. The number of articles in the field of supply chain collaboration shows an increasing trend by year. However, most of the collaborations discussed were still at a low level. It is expected to explore a higher level of collaborations and related themes in future research.