具有遗憾值约束的鲁棒供应链网络设计模型研究

考虑不确定性环境,研究战略层次的供应链网络鲁棒设计问题,目标是设计参数发生摄动时,供应链性能能够保持稳健性。基于鲁棒解的定义,建立从上游供应商选择到下游设施选址-需求分配的供应链网络设计鲁棒优化模型;提出确定遗憾值限定系数上限和下限的方法,允许决策者调节鲁棒水平,选择多种供应链网络结构;通过模型分解与协调,设计了供应链节点配置的禁忌搜索算法。算例的计算结果表明了禁忌搜索算法具有良好的收敛特性,以及在处理大规模问题上的优越性;同时也反映了利用鲁棒优化模型进行供应链网络设计,可以有效规避投资风险。     

供应链中转节点物流能力计划问题研究

针对供应链中转节点的物流要素能力中的处理能力、流通量等决定因素进行了较为深入的理论分析;并且采用排队论的相关理论构建了具体的理论模型,得到了使得系统利润最大的中转节点的最优处理能力及最优流量。这一理论研究结果,为进一步研究供应链物流能力中连线的流通能力、各环节能力的匹配等决定因素奠定了理论基础,同时对于确定企业的物流要素能力指标中的处理能力以及流量等提供了一定的理论指导。     

Bounds of Relative Regret Limit in p‐Robust Supply Chain Network Design

This research studies the p‐robust supply chain network design with uncertain demand and cost scenarios. The optimal design integrates the supplier selection together with the facility location and capacity problem. We provide a new framework to obtain the relative regret limit, which is critical in the robust supply chain design but is assumed to be a known value in the existing literature. We obtain lower and upper bounds for relative regret limit and obtain a sequence of optimal solutions for series relative regret limits between the upper and lower bounds. An algorithm for p‐robust supply chain network design is provided. A series of numerical examples are designed to find the properties of the bottleneck scenarios. A scenario with low probability and a low optimal objective function value for the scenario has a greater chance of being a bottleneck. To focus only on the influence from the relative regret, we also introduce three separate new objective functions in p‐robust design. The proposed new theories and approaches provide a sequence of options for decision makers to reduce the marketing risks effectively in supply chain network design.     

具有时变运输时间的JIT系统批量决策

本文的研究对象是由制造商、配送中心和零售商组成的多级供应链系统,其中零售商要求制造商为其提供短时间间隔、小批量的JIT配送。研究内容为在时变运输时间影响下的供应链系统批量决策问题。在实际运输时间数据的基础上建立了时变运输时间的函数,并以此构建了系统的总成本函数,并在相关文献研究的基础上采用新的更为有效搜索规则进行了求解。根据求解规则,采用ActiveX自动化技术将Matlab的数值计算功能嵌入Visual Basic的集成开发环境中,开发了对应的决策支持系统。最后进行了敏感性分析并提供了低运作成本的决策支持方案。     

Greening the health care supply chain: Triggers of change,models for success

A historic agreement signed in July 1998 between the American Hospital Association (AHA) and the U.S. Environmental Protection Agency (EPA) signals changes in waste management in the health care industry. The agreement, which calls for a fifty percent reduction of hospital waste by 2010, will not only have an impact on hospital facility managers, but throughout the entire healthcare supply chain. As this article argues, improving the environmental impact of the health care industry should start with the health care delivery institutions themselves. The health care industry has a long way to go in addressing its environmental impacts, compared to the energy and chemical industries, for example. One reason is that these industries are raising their suppliers' environmental performance. Health care delivery institutions can effectively pull environmental performance requirements through the entire supply chain as well. This can be accomplished by examining supply chain strategies of leading industries and firms and considering the role of environmental management systems such as a ISO 14001 throughout the entire chain.     

供应链中物流及信息流管理

供应链管理使企业在变化的市场环境中有效地与其它企业合作,取得集体竞争优势。本文首先讨论了后勤学与供应链管理的定义和之间的关系。本文认为供应链管理的核心是物流与信息流的控制。物流控制决策主要包括操作层次的库存补充和运输路径规划,以及战略层次的设施地点规划。信息流管理跨越部门与企业的界限将相关的应用集成起来。动态联盟协调各企业内部的生产经营活动,战略性地决定物流与信息流的构形。     

An approximation algorithm for the <Emphasis Type="Italic">k</Emphasis>-level capacitated facility location problem

We consider the k-level capacitated facility location problem (k-CFLP), which is a natural variant of the classical facility location problem and has applications in supply chain management. We obtain the first (combinatorial) approximation algorithm with a performance factor of \(k+2+\sqrt{k^{2}+2k+5}+\varepsilon\) (ε>0) for this problem.     

基于信任的供应预测信息共享策略

现实中供应不确定是比较普遍的现象，供应预测信息共享对改善供应链绩效起着重要作用。针对由一个制造商和一个零售商组成的单周期供应链，利用斯坦克尔伯格博弈方法研究信任对供应预测信息共享的影响以及回购契约对该供应链的协调作用。研究表明：零售商对制造商的信任影响供应预测信息共享效果，进而影响供应链绩效；制造商说谎的心理负效用系数越大，越倾向于说真话；回购契约可以促进制造商共享真实供应预测信息；当制造商说谎的心理负效用系数较大时，存在一个最佳的回购价格，使供应链实现完美协调。     

Quantitative risk assessment-epidemic curve prediction model for leafy green outbreak investigation

The objective of this study was to leverage quantitative risk assessment to investigate possible root cause(s) of foodborne illness outbreaks related to Shiga toxin-producing Escherichia coli O157:H7 (STEC O157) infections in leafy greens in the United States. To this end, we developed the FDA leafy green quantitative risk assessment epidemic curve prediction model (FDA-LG QRA-EC) that simulated the lettuce supply chain. The model was used to predict the number of reported illnesses and the epidemic curve associated with lettuce contaminated with STEC O157 for a wide range of scenarios representing various contamination conditions and facility processing/sanitation practices. Model predictions were generated for fresh-cut and whole lettuce, quantifying the differing impacts of facility processing and home preparation on predicted illnesses. Our model revealed that the timespan (i.e., number of days with at least one reported illness) and the peak (i.e., day with the most predicted number of reported illnesses) of the epidemic curve of a STEC O157-lettuce outbreak were not strongly influenced by facility processing/sanitation practices and were indications of contamination pattern among incoming lettuce batches received by the facility or distribution center. Through comparisons with observed number of illnesses from recent STEC O157-lettuce outbreaks, the model identified contamination conditions on incoming lettuce heads that could result in an outbreak of similar size, which can be used to narrow down potential root cause hypotheses.     

Managing Production and Distribution for Supply Chains in the Processed Food Industry

We develop and evaluate a modeling approach for making periodic review production and distribution decisions for a supply chain in the processed food industry. The supply chain faces several factors, including multiple products, multiple warehouses, production constraints, high transportation costs, and limited storage at the production facility. This problem is motivated by the supply chain structure at Amy's Kitchen, one of the leading producers of natural and organic foods in the United States. We develop an enhanced myopic two‐stage approach for this problem. The first stage determines the production plan and uses a heuristic, and the second stage determines the warehouse allocation plan and uses a non‐linear optimization model. This two‐stage approach is repeated every period and incorporates look‐ahead features to improve its performance in future periods. We validate our model using actual data from one factory at Amy's Kitchen and compare the performance of our model to that of the actual operation. We find that our model significantly reduces both inventory levels and stockouts relative to those of the actual operation. In addition, we identify a lower bound on the total costs for all feasible solutions to the problem and measure the effectiveness of our model against this lower bound. We perform sensitivity analysis on some key parameters and assumptions of our modeling approach.     

Global supply chain management: The selection of globally competent managers

The ability of organizations to effectively compete in the global marketplace is contingent on identifying and selecting an adequate number of qualified global managers. Nowhere is the shortage of managerial talent more evident than in the management of global supply chains. The complex and vexing set of problems facing global supply chain managers makes the task of selecting an adequate supply of managers much more daunting. Given the historic perspective of manning supply chain positions (i.e., managers with a operation and functional orientation), human resource managers are modifying and updating the profile of the global supply chain manager's position to encompass political, cultural/social, network, and an awareness of the significant differences to be found in global markets. In an effort to develop a criteria for the selection of global supply chain managers, a competency-based theoretical perspective is used and eight intelligences are examined that can be used in the selection of global supply chain managers.     

Development and validation of a lean supply chain management measurement instrument

It is widely argued that to be competitive, a company not only needs to focus on internal aspects but on the entire supply chain. Lean supply chain management has become a means of enhancing competitiveness by improving efficiency and increasing flexibility at all stages of the supply chain. This research develops and validates a lean supply chain management measurement instrument. A two-phase approach is used for scale development and refinement. In the first phase, a literature review is conducted to identify definitions of lean supply chain management and agile supply chain management and their corresponding measurement items. In the second phase, the lean supply chain management measurement instrument is validated using survey data based on scales developed in the first phase by 59 scholars with experience in lean management and/or supply chain management. The results provide a structured and comprehensive measure of lean supply chain management indicating that there are two differentiated dimensions in the measurement instrument: one related to the operational aspects of lean supply chain strategy implementation and the second related to lean supply chain planning.     

具有灰色随机动态特征的供应链牛鞭效应的鲁棒性分析

供应链的随机动态性和牛鞭效应加大了供应链系统建模鲁棒性的难度,供应链的平稳运行是供应链管理的重要基础。针对具有区间灰色特征的随机动态供应链系统,以线性时不变系统作为研究基础,提出使用Markov算法解决供应链系统随机线性跳变的鲁棒性问题,获取了判定随机动态供应链系统鲁棒性的一个有效度量指标。算例结果表明:随机动态供应链系统的牛鞭放大效应与节点间的变化幅度和长期概率的平均值均无关;Markovian跳变线性供应链系统的整体性能不能仅凭单个节点的性能来预测;供应链运作的不确定性将会导致系统整体性能的降低。     

A combined optimization and agent-based approach to supply chain modelling and performance assessment

The main objective of this paper is to give an example of how expert systems techniques for distributed decision-making can be combined with contemporary numerical optimization techniques for the purposes of supply chain optimization and to describe the resulting software implementation. In this paper, multi-agent modelling techniques are applied to simulate and control a simple demand-driven supply chain network system, with the manufacturing component being optimized through mathematical programming. The system measures supply chain performance and the effect of different parameters in the replenishment control system, and can be used to simulate the behaviour of a system that uses optimization for part of its decision-making. The objective of this supply chain network system is to reduce operating cost, while maintaining a high level of customer order fulfilment.     

不公平厌恶下VMI供应链的批发价格契约与协调

供应链契约是影响VMI供应链整体绩效的重要因素,这是近年来关注的重要研究课题。本文着重研究了由供应商与零售商组成的二级VMI供应链协调问题,在供应商存在不公平厌恶的假设下,依据Cui等提出的不公平厌恶模型刻画了供应商的不利与有利不公平厌恶,通过分析得到了分散VMI供应链情形下供应商的最优策略,同时分析了二级VMI供应链在批发价格契约下的协调情况。通过分析得到的主要结论是:在供应商存在不利不公平厌恶的情形下,供应商存在唯一的最优产品生产量,其不高于传统供应商的最优产品生产量且为不利不公平厌恶系数或零售商势力外生参数的严格减函数或减函数,批发价格契约无法使二级VMI供应链达到协调;在供应商存在有利不公平厌恶的情形下,供应商存在唯一的最优产品生产量,其不低于传统供应商的最优产品生产量且为有利不公平厌恶系数或零售商势力外生参数的严格增函数或增函数,批发价格契约在一定条件下可使二级VMI供应链达到协调。最后,通过数值实验分析验证了本文得出的结论。     

Supply Chain Integration,Product Modularity,and Market Valuation: Evidence from the Solar Energy Industry

Supply chain integration is increasingly seen as a method to obtain flexibility and, consequently, to provide competitive advantage for firms within a supply chain. Product modularity, either in concert with or independent of such integration, can also produce flexibility for firms within a supply chain. In this proof‐of‐concept research, we explore whether the supply chain network affects each constituent firm's market valuation and how decisions regarding the level of supply chain integration and the usage of product modularity are associated with the value of the supply chain. We develop a method to identify and measure the supply chain's effect on each constituent firm's market valuation. Results indicate that greater integration is associated with a higher supply chain valuation, whereas increasing aggregated product modularity across the supply chain relates to a lower supply chain value. However, when combined, the interaction of aggregated product modularity and supply chain integration is positively associated with the supply chain's valuation.     

Supply chain strategies for speciality foods: a Norwegian case study

Despite strong market interest in speciality foods, producers find market access and distribution challenging. This exploratory research includes a literature review and five case studies of supply chains relating to shellfish, cheese, meat, potato and miscellaneous speciality foods in the mid-Norway region. The study identifies key supply chain configuration parameters from the extant literature, and these are used to analyse the cases. The study makes three main contributions to the literature: an analytical framework for analysing the supply chain characteristics of speciality foods; important supply chain factors for accessing the conventional food supply chain; and five propositions for improving market access. We argue that the speciality foods supply chain should be configured according to these propositions to ensure responsiveness to customer needs and to strengthen market access.     

产需不确定下基于零售商风险规避的三级供应链组合契约模型

针对产需不确定下单一供应商、制造商和风险规避的零售商组成的三级供应链系统,建立了分散和集中情况下的最优决策模型。通过设计风险共担和GL组合契约实现了三级供应链的协调。讨论了风险规避零售商的最优订购决策,分析了风险规避对供应链期望效益的影响。比较了风险规避和风险中性两种情况下零售商的最优决策。探讨了组合契约的协调问题及契约参数之间的关系。研究表明供应链的期望利润随着产需不确定的增加而减少,风险规避下零售商的期望利润低于风险中性时的期望利润,零售商的期望利润随着风险规避程度的加大而减少,零售商最优订购量随风险规避程度的增加而变化。最后数值算例验证了模型和契约协调的有效性。     

需求和零售商购买成本同时扰动的供应链应急协调

供应链的契约协调机制是供应链管理的重要内容,突发事件下的供应链协调机制是近年来的研究热点。 研究了在单制造商单零售商组成的供应链中,假设生产成本是其生产数量的凸函数下,当市场需求为零售价格的非线性函数,突发事件造成需求和零售商购买成本同时发生扰动时,集权、分权供应链应对突发事件的最优策略。 首先证明了稳定环境下的数量折扣契约可以实现该供应链的协调,在集权式决策下,供应链的原有生产计划对突发事件具有一定的鲁棒性,但是当突发事件造成的扰动超过一定幅度时,供应链的协调将会被打破,供应链系统必须改变生产计划才能实现其利润最大化。 在分权式决策下,供应链的原数量折扣契约不能使扰动后的供应链达到协调,因此,设计了新的数量折扣契约来使扰动后的供应链达到协调。最后给出一个算例验证了相关结论。     

Outsourcing vs. in-house production: a comparison of supply chain contracts with effort dependent demand

We analyze the effort and pricing decisions in a two facility supply chain in which one of the parties can exert costly effort to increase demand. We consider an outsourcing model in which the supplier makes the effort decision and an in-house production model in which the manufacturer decides on the effort level and we compare these two models with each other. We analyze and compare several contracts for decentralized supply chain models and we aim to find which contracts are best to use in different cases. We find the optimal contract parameters in each case and perform extensive computational testing to compare the efficiencies of these contracts. We also analyze the effect of the powers of the parties in the system and the effect of system parameters on the performances of the contracts and on the optimal values of the model variables such as price, effort and demand.