基于Agent的供应链运作仿真技术的研究

在给多个智能代理分别赋予生产运作的各种知识，如库存管理、生产计划等之后．通过多个智能代理协同合作，对供应链中企业的生产运作过程进行仿真。在研究该仿真系统的智能代理的内部任务、结构、多代理通讯机制等实现技术基础上，实现了该系统，并给出了一个供应链仿真的结果。     

基于供应链视域下的生产运营计划制订和管控研究

本文分析了当前企业生产运营计划与控制的状况,指出其在交货期控制、信息集成等方面存在的诸多问题,提出了构建基于供应链环境下的生产运营计划系统和信息平台模型。通过统一上下游资源、优化供应链流程,快速应对市场的变化;通过生产同步化,提高生产运营计划系统的柔性和灵敏性,有效降低过程运营成本,使供应链效能最大化。     

基于自组织理论的供应链系统演化机制研究

基于供应链系统的复杂性特征及其自组织行为模式,利用组织动力学模型和仿真技术,对供应链系统的演化机制进行了分析.研究发现,供应链系统的演化与系统的流量、厂商的依赖度和外部环境因素有关;通过仿真研究发现,供应链系统在适当的环境下可以获得稳定态并且存在从稳态向非稳态的临界(流量)值.研究结果表明,供应链系统内厂商通过协同运作,可以达到和谐稳定的合作关系.     

现代化石油企业的资源及实现方法研究

本文针对现代企业生产结构环境的特点,充分考虑在网络化协同制造环境下,网络技术,供应链管理,生产模式之间的协调．本文研究企业资源计划特点,建立协同制造环境下的企业资源计划模型：基于网格技术,研究、建立企业资源计划实现模型,探讨网格技术环境下的企业资源计划的实现方法．并提出在网络协同制造环境下企业资源计划研究存在的不足和具有的意义。     

基于Petri网的供应链协同需求预测流程模型

提出了一个集成化的供应链协同需求预测模型,该模型包括数据、组织、环境与例外、决策与方法、运作与计划以及协作与调整等6个部分,其特点是将不同成员的意见根据不同的重要性融合到预测中,且突出了多源信息的应用.通过基于有色Petri网对本模型的     

面向供应链的MC计划调度功能模块运作研究

指出了面向供应链的MC生产计划调度过程是由若干协同化的主导子过程共同实现的;同时,每一主导子过程的实现对应于一个主导功能模块的合理设计与运作.分析了各主导功能模块的基本特征及其模式框架;阐述了基于各主导功能模块协同运作的面向供应链的MC计划调度过程实施模式.将对该计划调度问题在理论探索与实践运用方面提供了基础框架,起到了导向性作用.     

面向SCM的生产计划与控制系统总体模型

研究供应链管理环境下企业生产计划与控制方法 ,分析了供应链环境下生产计划与控制系统的几个概念扩展 ,提出了生产组织新模式。探讨了新生产模式的计划信息组织与决策过程的几个特特征 ,提出生产计划与控制的总体模型 ,分析了模型的特点     

面SCM生产计划与控制系统总体模型

研究供应链管理环境下企业生产计划与控制方法,分析了供应链环境下生产计划与控制系统的几个概念扩展,提出了生产组织新模式,探讨了新生产模式的计划信息组织与决策过程的几个特征,提出生产计划与控制总体模型,分析了模型的特点。     

基于多代理和遗传算法的协同生产调度研究

针对经典作业车间调度(Job-Shop Scheduling)问题的局限性,结合实际生产情况,提出了基于多代理机制的供应链环境下的企业间的协同生产调度(Cooperated production scheduling)系统的体系结构,结合多代理的灵活性和遗传算法的全局优化性,阐述了一种基于多代理和遗传算法的协同调度系统,并寻求适合于这种供应链环境的优化调度方案.     

BTO供应商的交货期承诺问题研究

以BTO供应链生产环境为研究背景,在供应商生产能力有限的前提下,对一个由制造商和其上游供应商组成的BTO供应链生产运作系统进行建模,假设该供应链运作系统中各环节均对时间敏感,建立了一个供应商的交货期承诺模型,分析了供应商的服务水平、订单到达率、承诺交货期和总成本之间的关系,得出供应商对制造商的最优承诺交货期,力求最终实现供应链整体成本最小化.     

Value chain management for commodities: a case study from the chemical industry

We present a planning model for chemical commodities related to an industry case. Commodities are standard chemicals characterized by sales and supply volatility in volume and value. Increasing and volatile prices of crude oil-dependent raw materials require coordination of sales and supply decisions by volume and value throughout the value chain to ensure profitability. Contract and spot demand differentiation with volatile and uncertain spot prices, spot sales quantity flexibility, spot sales price–quantity functions and variable raw material consumption rates in production are problem specifics to be considered. Existing chemical industry planning models are limited to production and distribution decisions to minimize costs or makespan. Demand-oriented models focus on uncertainty in demand quantities not in prices. We develop an integrated model to optimize profit by coordinating sales quantity, price and supply decisions throughout the value chain. A two-phase optimization approach supports robust planning ensuring minimum profitability even in case of worst-case spot sales price scenarios. Model evaluations with industry case data demonstrate the impact of elasticities, variable raw material consumption rates and price uncertainties on planned profit and volumes.     

制造商竞争环境下供应链CSR投入模式选择研究

基于当前大多数企业均将社会责任(cooperate social responsibility, CSR)投入纳入到战略规划的背景,研究制造商CSR投入模式对供应链成员及系统利润的影响。考虑3种投入模式：无制造商投入CSR(模型NN)、单个制造商投入CSR(模型NY)和制造商同时投入CSR(模型YY)。通过建立两制造商−单零售商的二级供应链模型,求解出均衡价格与利润。研究表明,制造商利润始终与价格敏感系数成反比,但仅在模型YY中零售商的利润与价格敏感系数成正比;在制造商双方均投入CSR时三方成员可实现利润最大化,且供应链决策效率达到最优。通过数值算例分析模型中部分参数对供应链成员利润的影响。     

Revisiting local TOC measures in an internal supply chain: a note

While the global theory of constraints (TOC)-based measures of throughput, inventory and operating expense are well known, the literature on local measures of throughput dollar-days and inventory dollar-days (TDDs/IDDs) is sparse and inconclusive. This paper shows how adherence to these measures naturally puts a non-TOC company on a continuous improvement path by assisting in identification of the constraint and implementation of a drum–buffer–rope (DBR)-like system. Thus, by simulating a small company, this note highlights the relationship between TDD/IDD measures and a DBR system, which further promotes TOC principles. Ultimately, we provide future research avenues into the role these measures can play in the development of a holistic incentive system and the implementation of a DBR-like system across the supply chain network.     

Comparisons between drum–buffer–rope and material requirements planning: a case study

Drum–Buffer–Rope (DBR) is an alternative approach to manufacturing planning and control that is not as formally tested as Material Requirements Planning (MRP) systems which have traditionally been around for years. Yet, some reports indicate very good performance for DBR and the associated use of synchronous manufacturing principles. But how do these systems compare and relate to one another? Based on our experiences of studying a Bearing Manufacturing Company that actually made the transition from an MRP system to a DBR system, we conduct simulation-based experiments in this paper with the objective of providing a more formal comparison between these two systems than what has been offered in prior literature. To our knowledge, this is the only study of its kind that uses a real-world setting to evaluate key differences and convergence points between comprehensive MRP and DBR systems. Our results show that even though the MRP and DBR systems position inventory differently and provide different dynamic responses to customer demand, there are several operating policies that can be implemented in either system. While the DBR performance in our simulation model was clearly superior to a nominal MRP implementation, we show that even within the constraints of the structural design of MRP system, policy modification based on DBR principles can significantly reduce these performance differences. This finding has an important implication for practising managers who need not necessarily switch from a MRP system to a DBR type of a system (as was done by our case-study firm) in order to take advantage of attractive features of the DBR system. Future researchers can use our study to understand more fully how these Structural Design and Operating Policy differences can be further exploited to implement unique systems that combine the best features of both DBR and MRP systems.     

The Integration Model of Closed-Loop Supply Chain Resource Allocation Considering Remanufacturing

Logistics resource planning is an integration model of materials requirement planning and distribution resource planning which is a resource allocation technology. It is a technology of satisfying both production material supply and resource allocation optimization which is based on inventory management. For the remanufacturing supply chain, recycling and rebuilding of products form a reverse materials movement loop which challenges the traditional logistics resource planning system. For the characteristics of reverse logistics of remanufacturing supply chain, we propose a closed-loop supply chain resource allocation model based on autonomous multi-entity. We focus on integration resource allocation model of materials requirement planning and distribution resource planning considering remanufacturing.     

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.     

供应链信息不确定性对生产计划的影响及改善方法研究

分析了供应链上信息不确定性的主要根源,从需求与供应两个角度分析供应链信息不确定性对生产计划的影响;探讨如何通过信息共享、弱化信息不确定性等提高生产计划动态响应性的技术方法．     

基于敏捷供应链管理的生产计划信息结构特征分析

在分析了敏捷供应链特点的基础上概括了基于敏捷供应链管理的生产计划的特点,即信息集成、资源共享、动态响应和周期缩短等.系统地分析了制定生产计划时为保证其敏捷性,需要收集并处理的各种信息来源,按照信息周期与信息不确定性两维结构对这些信息进一步归类分析,探讨了其特征及信息集成的技术支撑环境.