基于GMCR的双渠道供应链价格冲突动态交互模型

在冲突分析图模型中,稳定性分析的均衡结果和决策者偏好信息之间存在一个动态反复的交互过程。为此,本文提出了基于GMCR的冲突分析动态交互理论,在偏好信息和均衡结果之间引入决策者的风险认知系统,以动态模拟冲突中决策者的风险认知、偏好信息与均衡解之间的交互关系。然后,构建了基于GMCR的双渠道供应链价格冲突动态交互模型,从冲突分析动态交互视角解释了价格战背后制造商和零售商的博弈行为,并有效预测了风险规避情况下双渠道供应链价格冲突的均衡结果,为供应链管理者提供了一套系统有效的冲突分析工具。     

Determining new possible weight values in PROMETHEE: a procedure based on data envelopment analysis

Operational research (OR) offers efficient tools to support managers in strategic decision-making processes. Data envelopment analysis (DEA) and multiple criteria decision aid (MCDA) are two important research areas in OR. These two domains are both based on the evaluation of “objects” according to multiple “points of views”. Within the MCDA framework, choosing appropriate weights for the different criteria often arises as a problem itself for decision makers. As a consequence, researchers have developed original methodologies to help them during this elicitation phase. In this work, we aim to investigate how DEA can be used to propose weights in the context of the PROMETHEE II method. More precisely, we suggest an extension of the so-called “decision maker brain” used in the GAIA plane (also known as PROMETHEE VI) based on DEA. The underlying idea is based on the computation of weights in PROMETHEE (GAIA brain) which are compatible with the DEA analysis. We end this paper with a numerical example.     

“公司+农户”型订单农业供应链“双向补贴”机制研究

基于订单农业特点,构建“公司+农户”型订单农业供应链决策模型。研究发现,订单农业传统价格机制:按“固定价格”收购、按“市场价格”收购、“随行就市,保底收购”,各具优缺点,但均未能很好地协调此类“公司+农户”型订单农业供应链,我国订单农业违约率也是居高不下。为此,提出一种 “双向补贴”价格机制来协调此类订单农业供应链。本研究结果表明,“双向补贴”价格机制能够很好地弥补了按“固定价格”,“市场价格”收购的缺陷,保证了农户和公司获得相对稳定的收入,提高了“公司+农户”型订单农业供应链的稳定性。同时,实施该协调机制后,改善了公司在“随行就市,保底收购”机制下要承担全部风险的缺陷,公司和农户实现了“收益共享,风险同担”。     

基于微分对策的绿色供应链生态研发策略与协调机制

综合考虑产品绿色度和价格对市场需求的多重影响,构建微分博弈模型,运用最优控制理论,先后考察并比较批发价契约、收益共享契约和集中式决策三种情形下绿色供应链最优生态研发努力和定价策略,进一步采用Rubinstein讨价还价模型设计合理的利润分配契约。研究发现:收益共享契约无法促使绿色供应链实现协调,但在一定条件下,能够有效消除批发价契约的“双重边际效应”;集中式决策下,合理的利润分配契约能够保证供应链成员分得的利润“帕累托最优”,实现供应链协调,且该契约与收益共享比例有关。     

考虑风险偏好的动态生产库存问题的鲁棒优化模型

不同阶段需求不确定情况下,决策者的风险偏好和生产过程中的废品处理影响着供应链生产库存管理和供应链整体效益。本文考虑决策者风险偏好下,构建了包含I个生产者企业,一个库存点和一个废物处理基地的T阶段动态供应链生产库存框架,建立了椭球型需求不确定集下,以追求整体收益最大化为目标的不确定优化模型,并应用鲁棒优化理论得到了数据确定性线性鲁棒对应模型,讨论了模型解的可靠性和有效性。最后的算例表明,只有当决策者风险偏好参数在一定范围内时,才会存在满足条件且具有较高可靠性的鲁棒决策,验证了该鲁棒优化模型的合理性。     

An integrated optimization model for managing the global value chain of a chemical commodities manufacturer

The realization of supply chain management concepts goes along with the introduction of comprehensive software systems for supporting decisions at the strategic, tactical, and operational planning level. Moreover, in industry the focus has shifted from a pure logistics-oriented view towards the integration of pricing and revenue issues into cross-functional value chain planning models. This paper presents a practical decision support tool for global value chain planning in the production of chemical commodities. The proposed linear optimization model consists of various modules that reflect sales, distribution, production, and procurement activities within a company-internal value chain. The objective of the model is to maximize profit by coordinating all activities within the supply chain. The model formulation is related to a real industry case. It is shown how the model can be used to support decision making from sales to procurement by volume and value.     

A possibilistic decision model for new product supply chain design

This paper models supply chain (SC) uncertainties by fuzzy sets and develops a possibilistic SC configuration model for new products with unreliable or unavailable SC statistical data. The supply chain is modeled as a network of stages. Each stage may have one or more options characterized by the cost and lead-time required to fulfill required functions and may hold safety stock to prevent an inventory shortage. The objective is to determine the option and inventory policy for each stage to minimize the total SC cost and maximize the possibility of fulfilling the target service level. A fuzzy SC model is developed to evaluate the performance of the entire SC and a genetic algorithm approach is applied to determine near-optimal solutions. The results obtained show that the proposed approach allows decision makers to perform trade-off analysis among customer service levels, product cost, and inventory investment depending on their risk attitude. It also provides an alternative tool to evaluate and improve SC configuration decisions in an uncertain SC environment.     

选择与评价新产品开发的风险决策研究

本文针对企业投资决策者在新产品开发中的风险决策,基于贝叶斯决策理论及其相关研究建立了评估外部情报信息价值的数学模型,探讨投资决策者风险倾向、新产品开发风险投资未来市场需求以及情报费用对投资决策的影响机制,并用于评估新产品开发决策。研究结果有助于理解企业决策者进行新产品开发决策时应考虑的因素和情境,并能够辅助决策。最后,将这一数学模型应用到一家大型高科技企业的案例中。应用案例分析结果表明:本文的研究结论能够为企业开发新产品提供相关的决策依据。     

Coordination mechanisms of supply chain systems

Supply chain management (SCM) has become an important management paradigm. As supply chain members are often separate and independent economic entities, a key issue in SCM is to develop mechanisms that can align their objectives and coordinate their activities so as to optimize system performance. In this paper, we provide a review of coordination mechanisms of supply chain systems in a framework that is based on supply chain decision structure and nature of demand. This framework highlights the behavioral aspects and information need in the coordination of a supply chain. The identification of these issues points out several directions of future research in this area.     

考虑参考质量效应的“农超对接”供应链动态质量改进策略

在“农超对接”背景下,以“农村合作社+超市”组成的二级供应链为研究对象,考虑消费者参考质量效应对需求的影响,利用微分博弈理论分别求得了成本分担契约、非合作以及集中决策三种情形下供应链双方的最优均衡策略及利润。研究发现:消费者参考质量效应能够激励农村合作社提高农产品质量水平,同时缓解了超市的广告宣传压力,使得超市的广告宣传水平降低;当商誉-参考质量转换程度较大时,决策者会选择以低商誉战略来维持消费者合理的农产品质量期望值,形成了农产品质量低,成员收入少的不良经营环境;成本分担契约不仅提升了农产品质量水平,同时也实现了超市和农村合作社双方利润的帕累托改善,能够缓解超市面对劣质农产品束手无策的不良局面。     

政府补贴下闭环供应链回收渠道的选择策略

本文考虑由单一制造商、单一零售商以及单一第三方构成的闭环供应链系统,主要研究其回收渠道的选择问题,并综合分析政府补贴政策对不同主体回收策略选择的影响。本文建立了不同主体回收的决策模型,对集中决策和分散决策下的最优策略进行了理论分析,并通过数值实验验证了如下理论结果:在政府补贴的不同区间内,决策者(政府、消费者和政策制定者等)所选择的回收渠道可能会截然不同;政府补贴越少,决策者越倾向于选择零售商回收;政府补贴越多,决策者则越倾向于选择第三方回收。     

供应链管理中加工/外包决策问题的模型

供应链管理中的一个核心问题是零部件的加工/外包决策。本在献[1]的两部门一种原材料，一种零部件的产量优化模型的基础上，提出了两部分和三部分多种原材料、多种零部件的产量优化模型，并在此基础上发展了企业的加工/外包决策模型。本的结果可为供应链管理中加工/外包决策问题提供科学的依据。     

Time traps in supply chains: Is optimal still good enough?

Operations Researchers support Supply Chain Management and Supply Chain Planning by developing adequate mathematical optimization models and providing suitable solution procedures. In this paper we discuss what adequate could mean. Therefore, we may ask several questions concerning “optimality” in Supply Chain Planning under causal and temporal uncertainty: What is an optimal solution? When is it optimal? For how long is it optimal? How should the design of a supply chain be changed when conditions and requirements ask for new structures? In particular, we discuss new approaches to Supply Chain Planning in order to give an optimal transformation from an initial solution over multiple periods to a desired one rather than just specifying an optimal snapshot solution. Time and uncertainty are the factors triggering the whole discussion. In particular, several flaws often found when dealing with these factors result in so-called “time traps”. We look at the impact of recent technological developments like the Internet of Things or Industry 4.0 on operational supply chain planning and control, and we show how online optimization can help to cope with real-time challenges. Moreover, we re-coin the concept of risk in the realm of Supply Chain Planning. Here the question is how to measure supply chain specific risks and how to incorporate them “adequately” into mathematical models.     

4PL模式下供应链资源整合的多回合博弈决策分析

为了对4PL模式下供应链资源整合的收益与风险关系进行系统量化研究,本文从整合成本输入及整合收益输出关系入手,在整合运作框架基础上,从参与整合活动主、客体双方的整合收益与风险的系统性权衡与量化角度对资源整合的多回合博弈决策问题进行了分析。通过将博弈过程合理分段,并采用模糊隶属函数分别描述博弈子过程特征和资源个体的整合收益与风险指标变动特征,提出了以多回合博弈过程为变量的综合评价决策方法,真实地在柔性整合决策过程中反映了博弈双方的主、客观状况及其在不同谈判阶段的获利与风险心理。最后,通过算例验证,决策方法可行、有效。     

Can hazardous waste supply chain ‘hotspots’ be identified using an input–output framework?

The paper examines a method to attribute hazardous waste streams to regional production and consumption activity, and to connect these same waste streams through to different management options. We argue that a method using an input–output framework provides useful intelligence for decision makers seeking to connect elements of the management of the hazardous waste hierarchy to production and to different patterns and types of final consumption (of which domestic household consumption is one). This paper extends application of conventional demand driven input–output attribution methods to identify hazardous waste ‘hotspots’ in the supply chains of different final consumption goods and consumption groups. Using a regional case study to exposit the framework and its use, we find that domestic government final consumption of public administration production indirectly drives hazardous waste generation that goes to landfill, particularly in the domestic construction and sanitary services sectors, but also in the manufacture of wood products.     

渠道整合背景下生鲜供应链协调策略研究

针对生鲜供应链中线上线下商家开展物流合作以及在此基础上的价格整合,采用线性补偿与收益共享进行供应链内协调.从渠道相互竞争与合作、消费者购买行为的角度,建立渠道整合前后供应商与零售商的定价和补偿模型,求解得到相应的供应链最优协调策略,并通过数值模拟对比分析两种情形下供应链的总利润水平.研究发现:对于给定规模的垄断市场,价格整合降低渠道利润.建议商家在进行渠道整合的同时,进一步拓展市场份额.     

Multi-echelon multi-company inventory planning with limited information exchange

Supply chain planning concepts from multi-echelon inventory theory are generally based on some form of centralised planning of supply chains. Those multi-echelon models that do consider decentralised planning, assume complete information and/or a specific single objective function. This paper investigates how multi-echelon inventory theory can accommodate a setting with decentralised decision makers (a supplier and a number of retail groups) without complete information. We present a coordination procedure that does not require the retail groups to exchange demand information, but does allow using opportunities for demand pooling between them. We illustrate our ideas by way of a quantitative analysis of a two-echelon divergent supply chain, with both cooperative and non cooperative retail groups. We conclude that coordination across a supply chain with decentralised control and limited centralised information is feasible by using available algorithms with satisfactory service level and cost performance.     

高校公共就业服务个人自愿供给对就业水平影响机理的实证研究

“多中心治理”框架下完善的公共就业服务体系应该是政府供给、市场供给和自愿供给的有效融合,公共就业服务自愿供给机制能否有效弥补政府供给和市场供给的相对不足。文章构建了公共就业服务个人自愿供给影响就业的逻辑回归模型,基于4所高校3336份问卷调查的实际数据进行了实证检验,实证结果表明,无论是基于个体自选择信息还是利用个体志愿者多维行为特征的整合来确定个体志愿者的身份,大学生公共就业服务自愿供给均对就业产生显著正向影响,而且不同类型的公共就业服务自愿供给对就业影响存在显著差异,提供就业信息、传授求职经验、介绍面试技巧3类自愿供给服务对就业影响最显著,而介绍简历制作技巧类自愿供给对提升就业无影响。     

A multi-objective approach to supply chain visibility and risk

This paper investigates the twin effects of supply chain visibility (SCV) and supply chain risk (SCR) on supply chain performance. Operationally, SCV has been linked to the capability of sharing timely and accurate information on exogenous demand, quantity and location of inventory, transport related cost, and other logistics activities throughout an entire supply chain. Similarly, SCR can be viewed as the likelihood that an adverse event has occurred during a certain epoch within a supply chain and the associated consequences of that event which affects supply chain performance. Given the multi-faceted attributes of the decision making process which involves many stages, objectives, and stakeholders, it beckons research into this aspect of the supply chain to utilize a fuzzy multi-objective decision making approach to model SCV and SCR from an operational perspective. Hence, our model incorporates the objectives of SCV maximization, SCR minimization, and cost minimization under the constraints of budget, customer demand, production capacity, and supply availability. A numerical example is used to demonstrate the applicability of the model. Our results suggest that decision makers tend to mitigate SCR first then enhance SCV.     

Complex behaviour in a production–distribution model

The purpose of this paper is to show how the cascaded structure of a production–distribution chain can produce a wide variety of dynamic behaviours. Despite the apparent simplicity of the chain, the bounded rationality of human decision making interferes with the information feedbacks, nonlinearities and time delays of the system to produce exceedingly complex behaviour. When simulated with realistic parameter values, the model can exhibit stationary periodic, quasiperiodic as well as chaotic and hyperchaotic motions. Lyapunov exponents are used to characterize the different types of behaviour. Repeated simulation reveals how the profile of operating cost is related to the modes of behaviour and to the conditions that generate chaos. Detailed maps of parameter space graphically show the influence of inventory control policies upon dynamics and costs. The analyses illustrate why it is so difficult for decision makers to “navigate” in low-cost policy parameter regions. Suggestions are made for decision heuristics that avoid high-cost, unstable solutions.