需求不确定下的补偿策略理论模型

在需求不确定的前提条件下就供应商对销售商的补偿策略进行了深入研究,建立了包 含风险偏好的补偿策略理论模型. 在该理论模型的基础上,运用数值分析的手段分析了风险偏 好对供应链中参与者决策行为的影响,为供应链决策者制定合理的决策提供了科学依据. 最 后,结合我国国情,重点讨论如何在我国正确实施补偿策略.     

A critical review on supply chain risk – Definition,measure and modeling

Economic systems are increasingly prone to complexity and uncertainty. Therefore, making well-informed decisions requires risk analysis, control and mitigation. In some areas such as finance, insurance, crisis management and health care, the importance of considering risk is largely acknowledged and well-elaborated, yet rather heterogeneous concepts and approaches for risk management have been developed. The increased frequency and the severe consequences of past supply chain disruptions have resulted in an increasing interest in risk. This development has led to the adoption of the risk concepts, terminologies and methods from related fields. In this paper, existing approaches for quantitative supply chain risk management are reviewed by setting the focus on the definition of supply chain risk and related concepts.     

A hybrid approach to configure eco-efficient supply chains under consideration of performance and risk aspects

Formal models that support multi-criteria decision making represent a strongly growing area in sustainable supply chain management research. However, uncertainties and risks are seldom considered in quantitative models for green supply chain (SC) design. The paper at hand suggests a hybrid approach to configure an eco-efficient SC for a new product under consideration of economic and environmental risks. Discrete-event simulation is applied to assess the financial, operational and environmental performance of different SC configuration options while the value-at-risk concept is adapted to evaluate related SC risks. The analytic hierarchy process is employed to solve the resulting multi-criteria decision problem of choosing the best option. The approach is illustrated at a case example of a fast moving consumer goods manufacturer.     

Scrutinising the interplay between governance and resilience in supply chain management: A systems thinking framework

Supply chain disruptions recurrently challenge end-to-end operations owing to the ambiguous understanding of the role of governance in impacting supply network resilience. This paper scrutinises the relevant literature to understand the plethora of interpretations in supply chain governance and resilience while further providing a new perspective on the representation of the interplay between governance and resilience in supply chains. In this regard, the Systems Thinking lens is adopted to pull together the typologies and constructs of supply chain governance and resilience from the literature. Methodologically, System Dynamics modelling principles are leveraged to capture the underpinning structural interdependencies in a causal loop diagram. The study reveals that endogenous and exogenous supply chain governance processes and mechanisms support the intrinsic and extrinsic resilience in networks. Overall, this research contributes to the supply chain risk management domain by synthesising the interplay between governance and resilience, identifying pertinent typologies, and articulating research propositions that can inform decision-making at policy and management levels.     

Buffer stock under the effect of fluctuating demand

This paper deals with an inventory situation where the rate of demand for units stocked is known, but fluctuating over time. The focus of attention is on reserve stock. In an ideal world, where demand is known well in advance and where suppliers maintain scheduled shipping dates, there would be little need to hold any form of inventory other than a limited in-process stock. In practice however, supply interruptions are likely to occur. In this case an inventory acts as buffer to withstand variations between supply and demand. A mathematical model to determine the optimum reserve stock needed to minimize the expected total inventory cost of carrying the reserve inventory and cost of stockouts is developed.     

Optimal design of supply chain networks under uncertain transient demand variations

We consider a detailed mathematical formulation for the problem of designing supply chain networks comprising multiproduct production facilities with shared production resources, warehouses, distribution centers and customer zones and operating under time varying demand uncertainty. Uncertainty is captured in terms of a number of likely scenarios possible to materialize during the lifetime of the network. The problem is formulated as a mixed-integer linear programming problem and solved to global optimality using standard branch-and-bound techniques. A case study concerned with the establishment of Europe-wide supply chain is used to illustrate the applicability and efficiency of the proposed approach. The results obtained provide a good indication of the value of having a model that takes into account the complex interactions that exist in such networks and the effect of inventory levels to the design and operation.     

Impacts of demand uncertainty on retailer's dominance and manufacturer-retailer supply chain cooperation

Recent studies in marketing and distribution channels have shown that the balance of power between manufacturers and retailers is shifting. Based on this observation, we investigate a two-echelon supply chain with a manufacturer and a retailer in this paper. We first develop retailer-dominant non-cooperative game models by introducing a sensitivity of retailer's order quantity to manufacturer's wholesale price; then we analyze two cooperative scenarios, in which the Nash bargaining model is utilized to implement profit sharing between the manufacturer and the retailer. Under the assumption that the manufacturer and the retailer are risk-neutral, we find that the manufacturer and the retailer can bargain to cooperate at any level of retail-market demand uncertainty with exogenous retail price. However, the cooperation is conditional on retail-market demand uncertainty with endogenous retail price: it can be implemented if the fluctuation of retail-market demand is relatively small, and the measure of retail-market demand uncertainty does not exceed an upper bound. Theoretical and numerical analyses show that the retailer's dominance over the manufacturer increases with the increase in the sensitivity of retailer's order quantity to manufacturer's wholesale price under a limitation of retail-market demand uncertainty. Numerical analyses also show that the retailer's dominance decreases with the increase in retail-market demand uncertainty.     

A Structural model for the impact of supply chain relationship traits on project performance in construction

The objectives of this study are to discover the supply chain relationship traits in construction and their impact on the project performance. Using factor analysis technique, the supply chain relationship traits were determined to be collaboration in the supply chain, support and commitment to the supply chain, and sharing the benefits and risks. A two-step SEM model was then established to test the hypothesised relationship between the supply chain relationship traits and the project performance. The findings indicated that the supply chain relationship traits have a significant positive impact on the project performance. This study contributes to the body of knowledge relating to the construction supply chain management. The findings may help the parties to identify the attributes that may improve the relationships among them and result in better project performance.     

Strategic supply network planning with vendor selection under consideration of risk and demand uncertainty

We present a stochastic version of a three-layer supply network planning problem that includes the selection of vendors that must be equipped with company-specific tools. The configuration of a supply network must be determined by using demand forecasts for a long planning horizon to meet a given service level. The risk induced by the uncertain demand is explicitly considered by incorporating the conditional value at risk. The objective is to maximize the weighted sum of the expected net present value of discounted cash flows and the conditional value at risk. This would lead to a non-linear model formulation that is approximated by a mixed-integer linear model. This approximation is realized by a piecewise linearization of the expected backlogs and physical inventory as non-linear functions of cumulative production quantities. A two-stage stochastic programming approach is proposed. Our numerical analysis of generic test instances indicates that solving the linearized model formulation yields a robust and stable supply network configuration when demand is uncertain.     

Role of flexibility in supply chain design and modeling—Introduction to the special issue

In this introductory note, we describe the motivation behind this special issue on supply chain design and modeling. We begin by noting the potential opportunities offered by flexibility of a system in enhancing its functionalities and capabilities. After defining the nature of flexibility, we briefly describe flexibility in a supply chain, pertinent issues, and potential tools and techniques utilized for designing and modeling flexibility in it. We close out with a brief review of the articles in this issue and their relevance to the interests of decision makers.     

Price competition,cost and demand disruptions and coordination of a supply chain with one manufacturer and two competing retailers

This paper studies the coordination of a supply chain with one manufacturer and two competing retailers after the production cost of the manufacturer was disrupted. We consider two coordination mechanisms: an all-unit quantity discount and an incremental quantity discount. For each mechanism, we develop the conditions under which the supply chain is coordinated and discuss how the cost disruption may affect the coordination mechanisms. For the all-unit quantity discount scheme, we find that the manufacturer charges the lower-cost retailer for a lower unit wholesale price in order to induce him to order more products. If the costs of two retailers have a remarkable difference, then the all-unit quantity discount scheme cannot coordinate the supply chain with disruptions. While the cost disruption may affect the wholesale prices, order quantities as well as retail prices, it is optimal for the supply chain to keep the original coordination mechanism if the production cost change is sufficiently small. The model is also extended to the case with both cost and demand disruptions. The equilibrium strategies of the retailers are investigated when the manufacturer cannot timely react to the disruptions such that she has to keep the original mechanism. We illustrate the results by numerical examples.     

Improving innovation performance through environmental practices in the fashion industry: the moderating effect of internationalisation and the influence of collaboration

In recent years, the scientific literature on supply chain management has increasingly debated on environmental sustainability as well as collaboration, presenting these issues as an important source of innovation along the supply chain. By combining literature streams on environmental sustainability, supply chain collaboration and innovation at the supply chain level, this paper aims to analyse whether the adoption of environmental sustainability practices and collaboration along the supply chain implies better innovation performance, in terms of differentiation from the competitors for higher quality, product or process. The paper also investigates whether the internationalisation, in terms of both production and distribution activities, negatively moderates this relationship. The study focuses on the fashion industry, and a survey of major Italian fashion companies was conducted. The main results of the research clearly show the positive impact of these practices on innovation performance. The paper also proves the existence of a moderating effect exerted by internationalisation on the relationship between environmental sustainability and innovation performance.     

Location-boundedness,investment irreversibility,and divestment of international joint ventures under host market demand uncertainty

We employ the real options perspective to examine how the irreversibility of location-bound assets and resources affects the divestment of international joint ventures (IJVs) under exogenous uncertainty in host countries. Utilizing a large sample of Korean IJVs and addressing a sample selection of IJVs and the endogeneity of firms’ choice of location-bound investments, we find that high host market demand uncertainty interacts with localized products or local sales forces and reduces divestment rates of IJVs. We also find that the deterrent effects of these two country-specific investments are more salient for IJVs with local sourcing and sales. These findings imply that the deterrent effect of location-boundedness is congruent with the uncertainty-based real options theory when explaining IJV divestment.     

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.     

The impact of timely information on organisational performance in a supply chain

Information produced by ERP systems is termed JIT-information, since it is provided at the right time in the right place with a minimum of waste. The JIT-information construct is defined and described and a measurement scale is developed. A JIT-information performance model is proposed and assessed using a structural equation modelling methodology. The results indicate that the model fits the data well: (1) supply chain management strategy positively impacts JIT-information, (2) JIT-information directly impacts both logistics and organisational performance, and (3) logistics performance directly impacts organisational performance.     

Reference model for collaborative management in the automotive industry

Changes in the competitive environment require corporate restructuring, strengthening the relationship between the participants in a supply chain, implementing inter-organisational collaborative actions. Different strategies for collaborative actions render the subject relevant to researchers and managers. Integration, cooperation and partnership are essential to the success of this restructuring; the practices in this subject will be treated as Collaborative Management. The main objective is to analyse and synthesise the requirements of Collaborative Management in the automotive industry. The multicase study begins with an exploratory study to identify the theoretical elements that involve collaborative activity between companies, followed by a multiple case study in order to analyse the collaborative strategies used by companies. With the data collected a reference model will be produced using the Enterprise Knowledge Development methodology under a collaborative management approach. The data will enable the systematic and consistent representation of the collaboration between companies, helping to clarify the Collaborative role, and the integration relationship with the inter-organisational managing strategies.     

Antecedents and performance outcomes of global competence: An empirical investigation

We examine the role of commitment to supply chain management (CSCM) and information technology (IT) in the achievement of global competence (GC). Through an empirical examination of 667 manufacturing business units in the U.S., we confirm the importance of global competence using two objective measures of firm performance. We investigate the direct effects of CSCM and experience with IT on performance, in addition to their indirect effects through global competence. We show global competence to be linked directly to objective measures of sales, and indirectly to return on assets (ROA). Despite manufacturers’ hefty investments in IT, we find that experience with IT does not drive ROA directly, but only indirectly through global competence and sales.     

The impact of supply chain management practices on competitive advantage and organizational performance

Effective supply chain management (SCM) has become a potentially valuable way of securing competitive advantage and improving organizational performance since competition is no longer between organizations, but among supply chains. This research conceptualizes and develops five dimensions of SCM practice (strategic supplier partnership, customer relationship, level of information sharing, quality of information sharing, and postponement) and tests the relationships between SCM practices, competitive advantage, and organizational performance. Data for the study were collected from 196 organizations and the relationships proposed in the framework were tested using structural equation modeling. The results indicate that higher levels of SCM practice can lead to enhanced competitive advantage and improved organizational performance. Also, competitive advantage can have a direct, positive impact on organizational performance.     

低碳努力下资金约束供应链的融资选择策略研究

本文研究低碳环境下资金约束制造商的供应链中成员决策策略及融资模式选择问题,建立了由供应商主导,制造商跟随的Stacklberg模型。考虑市场需求受制造商低碳努力的影响,并设计银行信贷和贸易信贷两种融资方式,从供应链中成员各自利益最大化和低碳努力水平最大化出发,给出了两种融资模式下的均衡解并进行了模式比较分析。研究表明当制造商的低碳投资成本系数和供应商的生产成本均较低时,制造商应选择BCF模式融资,当低碳投资成本系数较低,而生产成本较高时,TCF模式是制造商的融资均衡策略。当低碳投资成本系数较高时,无论生产成本如何变化,此时BCF模式始终是制造商的最佳融资策略。同时存在供应商生产成本的阈值,使得当生产成本低于该阈值时,BCF模式对供应商更佳,其他情况下TCF模式是供应商的融资策略均衡。     

A note on the random yield from the perspective of the supply chain

Keren [The single-period inventory problem: extension to random yield from the perspective of the supply chain. Omega 2009;37:801-10] considers a supply chain in which the distributor faces a known demand and orders from the producer subject to a random production yield, and shows that the distributor may find it optimal to order more than what is needed due to supply uncertainty under a uniform distribution. However, Keren (2009) does not address the questions whether it is always optimal for the distributor to order more, or when to order more. In this note, we point out that ordering more is not always an optimal strategy and specify the condition under which this strategy becomes optimal. We also examine the profit losses of the supply chain members resulting from the random yield supply, which is another question not considered in Keren (2009). The producer is found to possibly benefit from this production yield uncertainty, although the performances of the distributor and of the entire supply chain are always undermined. Our results are obtained under a more generalized yield distribution, and can thus be applied to wider industrial domains.