Distribution contracts to support optimal inventory holdings under demand uncertainty

When suppliers produce products for which demand is uncertain, they face a problem of inducing downstream distributors to stock inventory levels that the suppliers prefer. This paper considers a wide array of alternative supply contracts, each of which consists of a mixture of constant per-unit wholesale prices, buy-back arrangements, and post sale payments contingent on sales made, such as revenue sharing or buybacks. We show that linear supply contracts specifying any combination of two of these three instruments can implement the vertical integrated outcome for a monopoly, thereby generating the supplier's preferred inventory configuration and price distribution. We extend our results to differentiated product oligopoly, demonstrating that each supplier obtains its preferred inventory configuration and price distribution, given the choices of its rival. Distributors choose optimal inventories from the suppliers' standpoint, even if suppliers do not know the distribution of demand uncertainty, and, given the perfect competition among distributors, all profits in the supply chain are captured by suppliers. Thus, suppliers are able to deal with demand uncertainty with remarkably little information about demand, and without the need to control dealer actions in detail. In particular, suppliers need not specify either dealer inventories or resale prices, but instead encourage distributors to order based on information in their possession and to set prices that generate desirable resale price dispersion.     

Incorporating uncertainty into a supplier selection problem

Supplier selection is an important strategic supply chain design decision. Incorporating uncertainty of demand and supplier capacity into the optimization model results in a robust selection of suppliers. A two-stage stochastic programming (SP) model and a chance-constrained programming (CCP) model are developed to determine a minimal set of suppliers and optimal order quantities with consideration of business volume discounts. Both models include several objectives and strive to balance a small number of suppliers with the risk of not being able to meet demand. The SP model is scenario-based and uses penalty coefficients whereas the CCP model assumes a probability distribution and constrains the probability of not meeting demand. Both formulations improve on a deterministic mixed integer linear program and give the decision maker a more complete picture of tradeoffs between cost, system reliability and other factors. We present Pareto-optimal solutions for a sample problem to demonstrate the benefits of the SP and CCP models. In order to describe the tradeoffs between costs and risks in an analytical form, we use multi-parametric programming techniques to more completely analyze the alternative Pareto-optimal supplier selection solutions in the CCP model. This analysis gives insights into the robustness of the solutions with respect to number of suppliers, costs and probability of not meeting demand.     

Structuring and contracting in competing supply chains

This paper considers two competing supply chains, each with multiple upstream suppliers producing complementary products and selling to a single buyer (e.g., assembler or retailer), who then sells the finished assembled product to a market that involves both demand uncertainty and competition. Our main research questions focus on what supply chain structure (integration vs. decentralization) and which contracting strategy a business should choose. We find that supply chains that decentralize perform better under strong market competition (i.e., high degree of product substitution between supply chains). However, when a large number of suppliers exist, supply chains that integrate perform better. When decentralized structures are used for both supply chains, a consignment with revenue sharing contract generally outperforms a wholesale price contract from the downstream retailer's point of view. Interestingly, for a supplier, a wholesale price contract, which pushes all demand risks to the downstream retailer, might not be preferred. For the entire supply chain, one contract strategy can outperform another depending on the degree of competition, the cost share of the buyer, and the number of suppliers.     

Supply Adjustments to Demand Shocks in the Commercial Real Estate Market

This paper contributes a theoretical investigation of real estate supply adjustments in the commercial real estate market. Simple theoretical linkages between the goods market (the demand side) and the space market (the supply side) are developed and then used to explain the optimal supply decisions of space producers. Propositions relating to how space production decisions are made under conditions of demand certainty, demand uncertainty and free entry are derived from optimization models. Under demand certainty, the adjustment of space supply is shown to be affected by whether an exogenous shock is perceived as mild or disastrous. Under demand uncertainty, construction based on pent-up demand is shown to be suboptimal.     

基于供应链的煤炭企业供应商管理研究

煤炭企业的生产特点和物资需求特性,决定了煤炭企业应该进一步改革物资采购模式,完善供应商管理工作。为有效跟踪供应商绩效表现,降低供应链风险,基于供应链管理理论提出目前中国煤炭企业应实施供应商全生命周期管理,并将供应商分类、供应商评价体系和关系管理纳入企业信息化系统建设中,有助于企业实现全方位的供应商关系管理。     

The relationship between network governance and unilateral governance in dynamic consumer demand

An important question for retailers is the extent to which control over suppliers should be maintained when there is uncertain consumer demand. This paper proposes that the level of network governance (high or low) affects retailers' level of unilateral control in uncertain consumer demands. The empirical results indicate that when there is a low level of network governance, retailers tend to increase the level of unilateral control over suppliers as consumer demand uncertainty increases. On the other hand, retailers who feel a high level of network governance may rely on unilateral governance to a lesser extent regardless of consumer demand uncertainty.     

Channel relationship and business uncertainty: Evidence from the Hong Kong market

This study examines the dynamics of channel relationships between an end user and multiple suppliers in Hong Kong, a major international logistics hub in Asia. Drawing on the literature on channel relationships, we examine the links between different channel relationship variables and the contingent effect of business uncertainty on the links between these variables and supplier commitment. The results of the study indicate that expected relationship continuity mediates the effects of trust and relationship quality on commitment. Furthermore, the positive effect of trust on commitment is found to be stronger when business uncertainty is high than when business uncertainty is low. As supply chain management is becoming essential for firms to succeed in today's business, industrial marketing managers need to be aware of the dynamics in channel relationships and to better manage their supply chains. The implications of our findings for research and for the practice of channel relationship management are provided.     

A multi-objective robust optimization model for multi-product multi-site aggregate production planning in a supply chain under uncertainty

Manufacturers need to satisfy consumer demands in order to compete in the real world. This requires the efficient operation of a supply chain planning. In this research we consider a supply chain including multiple suppliers, multiple manufacturers and multiple customers, addressing a multi-site, multi-period, multi-product aggregate production planning (APP) problem under uncertainty. First a new robust multi-objective mixed integer nonlinear programming model is proposed to deal with APP considering two conflicting objectives simultaneously, as well as the uncertain nature of the supply chain. Cost parameters of the supply chain and demand fluctuations are subject to uncertainty. Then the problem transformed into a multi-objective linear one. The first objective function aims to minimize total losses of supply chain including production cost, hiring, firing and training cost, raw material and end product inventory holding cost, transportation and shortage cost. The second objective function considers customer satisfaction through minimizing sum of the maximum amount of shortages among the customers’ zones in all periods. Working levels, workers productivity, overtime, subcontracting, storage capacity and lead time are also considered. Finally, the proposed model is solved as a single-objective mixed integer programming model applying the LP-metrics method. The practicability of the proposed model is demonstrated through its application in solving an APP problem in an industrial case study. The results indicate that the proposed model can provide a promising approach to fulfill an efficient production planning in a supply chain.     

Impact of demand uncertainty on supply chain cooperation of single-period products

Cooperation is an approach of improving competitive advantages of a supply chain. A two-echelon supply chain consisting of a manufacturer and a retailer for a single-period product is studied, and retail-market demand uncertainty is described by coefficient of variation. We develop a cooperation mechanism to address the cooperation and its implementation between the manufacturer and the retailer, two market situations are considered: (i) the wholesale price and the order quantity are decision variables, (ii) the wholesale and the retail prices as well as the order quantity are decision variables. In both market situations, our research shows that: (1) the cooperation mechanism can improve the overall channel profits and the supply chain members’ allocated profits, (2) the described cooperation is conditional on retail-market demand uncertainty: it can be implemented if, and only if, the fluctuation of retail-market demand is relatively small and coefficient of variation of retail-market demand does not exceed an upper bound. Impacts of retail-market demand uncertainty on wholesale price, order quantity and/or retail price have also been investigated through analytical and numerical analyses. Although our research is based on the assumption that the manufacturer dominates the supply chain in the non-cooperative situation, which is not the case for most retailer-driven supply chains, this research is still significant on providing guidelines for practitioners in current China mid-level car market that is similar to situations described in the paper.     

Interfirm Innovation under Uncertainty: Empirical Evidence for Strategic Knowledge Partitioning*

This paper analyzes how uncertainty and life‐cycle effects condition the knowledge boundary between assemblers and suppliers in interfirm product development. Patents associated with automotive emission control technologies for both assemblers and suppliers are categorized as architectural or component innovations, and technology‐forcing regulations imposed by the government on the auto industry from 1970 to 1998 are used to define periods of high and low uncertainty. Results confirm that suppliers dominate component innovation whereas assemblers lead on architectural innovation. More importantly, when facing uncertainty firms adjust their knowledge boundary by increasing the knowledge overlap with their supply‐chain collaborators. Suppliers clearly expand their knowledge base relatively more into architectural knowledge during such periods. But assemblers' greater emphasis on component innovation in periods of greater uncertainty is only true as a relative deviation from an overall trend toward increasing component innovation over time. This trend results from an observed life‐cycle effect, whereby architectural innovation dominates before the emergence of a dominant design, with component innovation taking the lead afterward. Thus, for assemblers life‐cycle effects may dominate over task uncertainty in determining relative effort in component versus architectural innovation. This work extends research on strategic interfirm knowledge partitioning as well as on the information‐processing view of product development. First, it provides a large‐scale empirical justification for the claim that firms' knowledge boundaries need to extend beyond their task boundaries. Further, it implies that overlaps in knowledge domains between an assembler and suppliers are particularly important for projects involving new technologies. Second, it offers a dynamic view of knowledge partitioning, showing how architectural knowledge prevails in the early phase of the product life cycle whereas component knowledge dominates the later stages. Yet the importance of life‐cycle effects versus task uncertainty in conditioning knowledge boundaries is different for assemblers and suppliers, with the former dominating for assemblers and the latter more influential for suppliers. Finally, it supports the idea that architectural and component knowledge are critical elements in the alignment of cognitive frameworks between assemblers and suppliers and thus are key for information‐exchange effectiveness and resolution of task uncertainties in interfirm innovation.     

Capacity reservation under spot market price uncertainty

Capacity reservation contracts and spot markets are two alternative purchasing practices. We focus on the cost-effective management of the combined use of these two procurement sources. Due to the variability of the spot market prices and demand uncertainty, the flexibility of combined sourcing can be advantageous. Spot market purchasing is a benefit in case of low spot market prices or insufficient reserved capacity, and the capacity reservation contract is an operational risk hedging for high spot market price incidents. The structure of the optimal combined purchasing policy is complex. In this paper we consider a simple and easy-to-implement capacity reservation—base stock policy and compare it to single sourcing options. We examine the joint effect of demand and spot market price uncertainty. Our analysis shows that in the case of large spot market price variability the combined sourcing is superior over spot market sourcing even in the case of low average spot price. The combined sourcing is also superior over long-term sourcing even in the case of high average spot price if there is large spot market price variability. Analytical and simulation results are presented to show the effect of the different price, cost, and uncertainty parameters on the optimal capacity reservation—base stock policy and on the expected percentage gain over single sourcing.     

Aligning the sustainable supply chain to green marketing needs: A case study

The research explores the challenges facing organisations in aligning sustainable procurement requirements and marketing needs and the attendant shifts in supply chain management practices. Whilst external influences are readily understood (e.g. regulation and customer demand), less is understood about the implications for suppliers trying to meet sustainable procurement requirements and the organisational challenges of aligning marketing with sustainable supply chain management. An exploratory case study of a UK University catering department has been undertaken, to explore the strategies, processes and relationships associated with synthesising sustainable supply chain and green marketing needs. The empirical findings illustrate the divergence between organisational perspectives on sustainability and procuring sustainable products with marketing demands. Thus, the findings extend the theoretical discussion on sustainable supply chains by providing empirical data based on real-life implementation and from this an emergent aligned supply chain model is proposed, which confirms two drivers for alignment, ‘lean and resource efficient’ and ‘local and seasonal’ — contingent on market demand. The findings emphasise the benefits of a reverse information flow, the importance of intermediaries, and relationships in its fulfilment, while indicating the resurgence of a supply ‘push’ of sustainable products into core markets. Future research directions are also posited.     

Enhancing the business-to-business supply chain: Insights from partitioning the supply-side

A market orientation has long been established as the key to success in supply chain management. A central concept of this orientation is market segmentation. The concept of market segmentation, however, has primarily been focused on the demand side of the supply chain; its potential application on the supply side has not thoroughly been addressed. This paper extends the purview of the concept behind segmentation by presenting the concept of “supply-side partitioning” to refer to the management of heterogeneities on the supplier side of the supply chain. Further, the concept of “transvectional alignment” is proposed for the purpose of simultaneously aligning market segments with appropriate suppliers at all levels of the supply chain by identifying, evaluating, and selecting supply groups that satisfy the demand function(s) of each segment. This paper discusses supply-side partitioning, includes a model for the supply chain utilizing transvectional alignment, and offers implications for the application of supply-side partitioning in the business-to-business marketspace.     

Moderating the impact of global sourcing on inventories through supply chain management

In recent years, companies have paid growing attention to supply chain management at a global level. With regard to the upstream part of the supply chain, the need for better suppliers, the research into specific competences and concerns related to international competition have forced companies to improve their ability to cope with suppliers located in different countries around the world. The literature suggests that the geographical distance of suppliers should create higher inventory levels primarily because of longer and more uncertain lead times. However, as this paper aims to demonstrate, companies can limit this effect by means of specific investments in the supply chain and in their relationships with suppliers. The empirical analysis is based on data from the last edition of the International Manufacturing Strategy Survey (IMSS). The results show that companies performing global sourcing have invested in supply chain management (SCM) and that this has been helpful in keeping their inventories under control.     

回收数量受价格和随机因素影响的定价模型

假设在再制造闭环供应链中，集中决策者、第三方和制造商分别从最终客户那里回收废旧品，其回收数量受回收价格和随机因素影响，制造商对获得的旧部件进行再制造，如果旧部件不能满足生产需求，制造商将从新部件供应商那里以高价格采购新部件来补充短缺。本文按照废旧品回收的供应链成员不同，建立了3个定价决策模型，证明了每个模型最优解的存在性和唯一性，然后在特殊情形下进一步求得各模型最优解的解析式，最后用具体算例对模型进行了验证。     

EPC 总承包项目采购管理中信息沟通问题研究

总承包商做好采购管理的关键在于，如何更好地进行采购中信息沟通。分析了EPC总承包项目中总承包商与业主、供应商之间信息沟通，以及采购与设计、施工和试运行各阶段之问信息沟通。在此基础上提出了EPC总承包项目中提高采购信息沟通的措施。     

生产服务型企业差异化服务能力对竞争优势的影响：以钢铁行业为例

随着市场复杂性和竞争强度的日益加剧,传统的工业贸易企业逐渐向生产服务型企业转型,从而使得原来以产品传递为特点的运作,变成了以与客户互动为基础的集成服务运作。然而,以往的研究对与不同客户需求之间的互动如何影响生产服务型企业战略分析较少。文章以中国钢铁行业的调研数据和资料为基础,运用实证方法。分析了生产型服务企业的服务能力,即资源供应、需求管理以及客户战略匹配等三种形态。研究发现对不同的下游客户,差异化的服务能力对竞争优势的形成产生了不同的影响,对于大型企业,资源的供应能力和战略匹配是决定生产服务型企业竞争力的主要来源,而对于中小型企业,资源供应能力和需求管理是形成竞争力的源泉。     

Integration of financial statement analysis in the optimal design of supply chain networks under demand uncertainty

Models that aim to optimize the design of supply chain networks have become a mainstream in the supply chain literature. This paper aims to fill a gap in the literature by introducing a mathematical model that integrates financial considerations with supply chain design decisions under demand uncertainty. The proposed Mixed-Integer Linear Programming (MILP) problem enchases financial statement analysis through financial ratios and demand uncertainty through scenario analysis. The applicability of the model is illustrated by using a case study along with a sensitivity analysis on financial parameters expressing the business environment. The model could be used as an effective and convenient strategic decision tool by supply chain managers.     

Managing inventory with two suppliers under yield uncertainty and risk aversion

In this paper, we consider a single-product single-period inventory model in which the retailer can source from two suppliers. The primary supplier is cheaper but unreliable in the sense that it generates supply yield uncertainty, whereas the secondary supplier is perfectly reliable but more expensive. The reliable supplier's capacity is fixed and the retailer cannot order more than the quantity reserved in advance. We study the problem in the context of a risk-averse retailer who has to determine the optimal order quantity from the primary supplier and the optimal reserved quantity from the secondary supplier. We develop the model in the perspective of a low risk averse retailer and quantify the risk via an exponential utility function. We show by numerical experiments how the resulting dual sourcing strategies differ from those obtained in the risk-neutral analysis. We also examine the sensitivity of some model-parameters on the optimal decisions.     

A dynamic model for the optimization of decoupling point and production planning in a supply chain

In this paper, we propose a dynamic model to simultaneously determine the optimal position of the decoupling point and production-inventory plan in a supply chain such that the total cost of the deviation from the target production rate and the target inventory level is minimized. Using the optimal control theory, we derive the closed form of the optimal solution when the production smoothing policy and the zero-inventory policy are applied. The result indicates that under the production smoothing policy, the overestimation of demand rate during the pre-decoupling stage guarantees the existence of the optimal decoupling point; meanwhile the optimal decoupling point exists under zero-inventory policy when the demand rate is underestimated. Also we perform mathematical analysis on the behavior of the optimal production rate and the inventory level and the effect of problem parameters such as the length of the product life cycle and the forecast error on the performance.