Matching Product Architecture and Supply Chain Configuration

In this paper, we examine the suggested link between product architecture (i.e., the extent to which a product is modular vs. integral) and supply chain configuration (i.e., whether the product development is done internally by the manufacturer in an integrated supply chain or in collaboration with a supplier in a decentralized supply chain). Our model suggests that the choice of product architecture depends on firm, market, and product characteristics in addition to supply chain structure. In contrast to other studies, we find that the optimal mapping from architecture to supply chain structure is not always one‐to‐one. A decentralized supply chain may be associated with a more integral product when the technical collaboration penalty is not excessive and suppliers have significantly superior product development capabilities. Furthermore, in a decentralized supply chain, the nature of the relationship between the original equipment manufacturer and its supplier (adversarial or collaborative) plays a role in the choice of product architecture: modular architectures are more likely when the parties have adversarial relationships, while long‐term trust‐based relationships facilitate more integral product architectures.     

A Hierarchical Product Development Planning Framework

Uncertainty in new product development (NPD) planning embraces market, creative, technological, and process dimensions to a much greater extent than in non‐NPD project planning. Yet, NPD management is becoming increasingly decentralized, both within the firm and across the supply chain. Hence, planning for NPD uncertainty often results in path‐dependent scenarios cutting across the strategic, tactical, and operational levels of planning. To coordinate this resulting complexity, we propose a stochastic hierarchical product development planning framework with multiple recourses, i. e., corrective actions, to maximize performance across a firm's entire NPD program. We also argue the necessity for a fourth planning level, the infrastructural, that reestablishes norms for market projections, technological forecasts, scheduling, and requirements as latent uncertainty in the environment is continually revealed. An illustration from the automotive industry is presented to demonstrate a deployment of our framework. We additionally discuss the applicability of this framework for managing NPD capabilities over time.     

The Roles of Supply Chain Intelligence and Adaptability in New Product Launch Success

Many new product introductions continue to be unsuccessful, and while researchers have studied product development processes, relatively few studies directly address new product launch. We do so in the present research and posit that supply chain intelligence, defined as technological and competitive knowledge sourced and integrated from suppliers, customers, and competitors, plays an important role in explaining new product launch success. We further employ the knowledge‐based view to theorize that both supply chain adaptability and product innovation capability act as important mediators of the effects of supply chain intelligence on new product launch success and firm financial performance. While the former capability refers to a firm's ability to quickly adjust its supply chain to react to market and product design changes, the latter refers to the firm's proficiency in developing innovative new products. We test hypothesized relationships among these factors utilizing data collected in a survey of 229 U.S. manufacturing firms. Results point to the central role of supply chain adaptability in capturing the benefits of supplier technological intelligence for enhanced product innovation capability, new product launch success, and firm financial performance. In contrast, product innovation capability serves as the generative means by which customer and competitor intelligence is translated into more successful new product launches, which, in turn, produce superior firm financial performance. Overall, these findings contribute to a better understanding of factors that can explain why certain product launches are more successful than others, and offer practical insights for appropriate investments in the development of related knowledge resources.     

考虑服务流的产品服务供应链网络均衡模型

产品服务供应链在向客户制造高质量产品的同时，也提供了产品全生命周期的专业服务，服务的嵌入增加了供应链协调的复杂性。考虑产品服务的双重需求，在分析各主体的运作行为的基础上，构建了包括多个制造商和多个销售商的多主体供应链网络；运用变分不等式刻画了制造商层、销售服务集成商层和需求市场的最优运作行为及其达成均衡的条件；最后，通过修正投影算法对数值算例进行了仿真。研究结果表明：产品服务供应链网络中的产品与服务均衡流相互影响，其中，服务水平直接影响到了产品需求；降低产品的售价将有利于服务价格和效益的提升。研究结论进一步印证了在产品服务供应链网络中承载于产品的服务将逐渐成为价值创造的主体。     

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.     

Managing Slow‐Moving Perishables in the Grocery Industry

We address the value of information and value of centralized control in the context of a two‐echelon, serial supply chain with one retailer and one supplier that provide a single perishable product to consumers. Our analysis is relevant for managing slow‐moving perishable products with fixed lot sizes and expiration dates of a week or less. We evaluate two supply chain structures. In the first structure, referred to as decentralized information sharing, the retailer shares its demand, inventory, and ordering policy with the supplier, yet both facilities make their own profit‐maximizing replenishment decisions. In the second structure, centralized control, incentives are aligned and the replenishment decisions are coordinated. The latter supply chain structure corresponds to the industry practices of company‐owned stores or vendor‐managed inventory. We measure the value of information and value of centralized control as the marginal improvement in expected profits that a supply chain achieves relative to the case when no information is shared and decision making is decentralized. Key assumptions of our model include stochastic demand, lost sales, and fixed order quantities. We establish the importance of information sharing and centralized control in the supply chain and identify conditions under which benefits are realized. As opposed to previous work on the value of information, the major benefit in our setting is driven by the supplier's ability to provide the retailer with fresher product. By isolating the benefit by firm, we show that sharing information is not always Pareto‐improving for both supply chain partners in the decentralized setting.     

Introduction to Innovation WITHIN and ACROSS Borders: A Review and Future Directions

Innovation is an integral part of every firm's ongoing operations. While new product and service creation is an essential task to ensure a firm's immediate success in the marketplace, process and supply chain innovations can also create a unique source of competitive advantage for the future. Encouraging innovative thinking, developing new innovations, and managing the processes by which those innovations are developed are critical aspects of today's firm. Consequently, research which aids in the creation and maintenance of innovative firms is an important topic of inquiry for research communities on innovation management, including the operations management and information systems communities. We review the literature in this important area and offer suggestions for future research on the following topics: innovation within a firm and across the supply chain, technology management, and new product and service development.     

Supply Chain Strategies for Perishable Products: The Case of Fresh Produce

This paper examines supply chain design strategies for a specific type of perishable product—fresh produce—using melons and sweet corn as examples. Melons and other types of produce reach their peak value at the time of harvest; product value deteriorates exponentially post‐harvest until the product is cooled to dampen the deterioration. Using the product's marginal value of time (MVT), the rate at which the product loses value over time in the supply chain, we show that the appropriate model to minimize lost value in the supply chain is a hybrid of a responsive model from post‐harvest to cooling, followed by an efficient model in the remainder of the chain. We also show that these two segments of the supply chain are only loosely linked, implying that little coordination is required across the chain to achieve value maximization. The models we develop also provide insights into the use of a product's MVT to develop supply chain strategies for other perishable products.     

Information systems,inter-functional collaboration and innovation in Taiwanese high-tech manufacturing firms

This article investigates whether (1) cross-functional integration within a firm and the use of information systems (IS) that support information sharing with external parties can enhance integration across the supply chain and wider networks and (2) whether collaboration with customers, suppliers and other external parties leads to increased supply chain performance in terms of new product development and introduction of new processes. Data from a high-quality survey carried out in Taiwan in 2009 were used, and appropriate econometric models were applied. Results show that the adoption of IS that enhance information sharing is vital not only for the effective communication with suppliers and with wider network members, but their adoption also has a direct effect across a firm's innovative effort. Cross-functional integration appears to matter only for the introduction of an innovative process. Collaboration with customers and suppliers affected a product's design and its overall features and functionality, respectively.     

Critical success factors in managing modular production design: Six company case studies in Hong Kong, China, and Singapore

Many researchers have explored the advantages of modular product design, its design methods and its effects on product performance. Modular design is, for example, required for product platform, mass customization and postponement in order to achieve greater product variety and differentiation. However, a few empirical studies explicitly examine how to coordinate modular product design in a managerial way. This paper addresses it by conducting multiple case studies with six companies which have successfully adopted modular product design for five years. Seven critical factors are explored in the management of modular product design. These are pre-defined product advantage, selectively used design rules, module definition, system integration, technological newness, internal communication, and supplier and customer involvement. While most of the literature studies the technical dimension of modular design within a firm, this study focuses on the managerial side across the supply chain. It gives new insights on how to manage modular product design and proposes future research opportunities.     

Impacts of Power Structure on Supply Chains with Uncertain Demand

In this study, we use a game‐theory‐based framework to model power in a supply chain with random and price‐dependent demand and examine how power structure and demand models (expected demand and demand shock) affect supply chain members' performance. We demonstrate that whether a firm benefits from its power depends on the expected demand model but not on demand shock model. A firm benefits from its power only for linear but not for constant elasticity expected demand. The impact of power structure on supply chain efficiency depends on the models of both expected demand and demand shock. With additive shock, supply chain efficiency is highest (lowest) when neither firm dominates for linear (constant elasticity) expected demand. With multiplicative shock, the supply chain efficiency is highest with a power retailer (manufacturer) for linear (constant elasticity) expected demand. The manufacturer always benefits from a reduction in demand uncertainty. However, the retailer loses (benefits) from demand uncertainty reduction for linear (constant elasticity) expected demand. With a power retailer, the retail price is always on the higher end for linear expected demand, and the customer service level is the lowest for constant elasticity expected demand. Consequently, consumers do not necessarily benefit from a power retailer.     

A Conceptual Model for Researching the Creation and Operation of Supply Networks1

This paper presents a conceptual model for the creation and operation of supply networks. Existing conceptual research relating to interorganizational relationships and networks is reviewed in terms of its relevance to understanding supply networks; this research is drawn from the fields of strategic management, channel management, industrial marketing and purchasing, organizational behaviour and supply‐chain management. The different perspectives each field has on networks are highlighted. Contributions made by each in assisting to understand supply networks are discussed and synthesized. Findings from an exploratory survey are used to structure the design of a conceptual model for analysing the processes involved in the creation and operation of supply networks. The authors identify nine different types of networking activities and discuss the nature of these activities in the context of supply. Four different types of contextual factors relating to supply networks are identified. The model is tested in eight in‐depth case studies and a validating survey of 58 focal firm networks. It is concluded that it provides a robust structure that enabled complex, cross‐case analysis of multi‐variable, multi‐disciplinary data from interorganization product/service supply networks, but that further testing by other researchers is required.     

Towards contract based coordination of distributed product development processes with complete substitution

In distributed product development processes system integrators collaborate with suppliers to provide marketable products. We analyze contract structures in their ability to coordinate such processes. A converging supply chain with two suppliers and one system integrator is considered. Each supplier develops one component and faces uncertainty with regard to development results. For the system integrator the specifications of both components are substitutive in terms of the specification of the final product (e.g., recycling quotas). Depending on the resulting specification of the final product, the system integrator generates revenues under a maximum price clause. We apply a game-theoretic framework: the system integrator is the Stackelberg leader and the suppliers are Stackelberg followers. Assuming uniformly distributed development results, we analyze two typical development contracts: a wholesale price contract and a penalty contract. We present numerical illustrations of centralized and decentralized solutions to gain qualitative insights about the optimal decisions and the coordination ability of the two contracts. Accordingly, both contracts coordinate the supply chain only under forced compliance.     

Structuring Work Distribution for Global Product Development Organizations

This study describes (through an application) a novel approach toward organizing work distribution across globally distributed design and development centers of a product development (PD) organization. While there exist several studies (and modeling applications) for work distribution and allocation for manufacturing and supply chain networks, those related to product development organizations are limited to qualitative suggestions such as offshoring of modular tasks. However, most PD efforts are characterized by significant complexity in information sharing and information dependency among PD tasks (represented by coupling in the system architecture of the firm), thus preventing the identification of modular tasks. Also, redesigning the architecture to introduce modularity has associated risks of costs and product integrity. We demonstrate a methodology to organize work distribution globally in an industrial setting, utilizing the design structure matrix to quantify the system architecture of the firm. Our optimization results show significant cost savings through a restructured PD organization. On analysis of the results, we make two significant observations: (a) while offshoring based on modularity is generally appropriate, it is not the whole answer, as there exists a trade‐off between the efficiency of performing specific PD tasks at the offshore location and the modularity of the task; and (b) firms should successively increase work allocation to the offshore location, benefiting from capability improvements through learning effects.     

Stockout Recovery under Consignment: The Role of Inventory Ownership in Supply Chains

We examine how a supply chain firm may implement an incentive contract under inventory consignment to recover stockouts and to retain customers. Inventory consignment allows an upstream firm (e.g., a manufacturer) to own and control inventory at a downstream firm (e.g., a retailer), representing a structural change in supply chain governance. Motivated by cases in pet toy and electronics component industries, we formulate principal–agent models based on the newsvendor framework to capture the strategic interactions in a supply chain. We find that consignment can be effective in reducing stockouts because the ownership and control of the product by the manufacturer allows better prevention of stockouts, which complements stockout recovery and leads to fewer stockouts. However, the lower level of stockout under consignment does not necessarily translate into profitability—when the manufacturer is highly opportunistic, that is, readily exploring outside opportunities for its product, consignment may lead to lower profitability for both the manufacturer and the supply chain. On the other hand, consignment will improve profitability for the manufacturer and the supply chain, if both the manufacturer opportunism and the retailer opportunism are moderate.      

Dynamic Pricing and Inventory Management with Regular and Expedited Supplies

We consider a periodic‐review inventory system with regular and expedited supply modes. The expedited supply is faster than the regular supply but incurs a higher cost. Demand for the product in each period is random and sensitive to its selling price. The firm determines its order quantity from each supply in each period as well as its selling price to maximize the expected total discounted profit over a finite or an infinite planning horizon. We show that, in each period if it is optimal to order from both supplies, the optimal inventory policy is determined by two state‐independent thresholds, one for each supply mode, and a list price is set for the product; if only the regular supply is used, the optimal policy is a state‐dependent base‐stock policy, that is, the optimal base‐stock level depends on the starting inventory level, and the optimal selling price is a markdown price that decreases with the starting inventory level. We further study the operational impact of such supply diversification and show that it increases the firm's expected profit, reduces the optimal safety‐stock levels, and lowers the optimal selling price. Thus that diversification is beneficial to both the firm and its customers. Building upon these results, we conduct a numerical study to assess and compare the respective benefit of dynamic pricing and supply diversification.     

Quality Management in Multi‐Level Supply Chains with Outsourced Manufacturing

Outsourcing stretches supply chains longer with added contract manufacturers responsible for the manufacturing of parts and final products. Should a firm change its quality management approach as its supply chain becomes longer with outsourced manufacturing? This paper studies a brand owner's optimal choice between two commonly used quality management approaches: an inspection‐based approach and an external failure‐based approach, in two supply chains – a dyadic supply chain and a multi‐level supply chain where the brand owner outsources manufacturing to an independent contract manufacturer. Our study finds that the brand owner's optimal choice between the two quality management approaches could be opposite in the two supply chains. Specifically, we show that if agency costs exist between the contract manufacturer and the brand owner, the brand owner may prefer an inspection‐based approach in the multi‐level supply chain in contrast to preferring an external failure‐based approach in the dyadic supply chain. In particular, inspections can be effective for the brand owner to limit the manufacturer's profit by excluding defective finished products and components, which in turn reduce agency costs in the multi‐level supply chain. Hence, the efficiency of an inspection‐based approach relative to an external failure‐based approach can be higher in the multi‐level supply chain as compared to the dyadic one. Our findings suggest that firms should adjust to changes in supply chain structures and re‐evaluate the efficiencies of different quality management approaches accordingly.     

Competitive and Collaborative Quality and Warranty Management in Supply Chains

Product quality and product warranty coverage are two important and closely related operational decisions. A longer warranty protection period can boost sales, but it may also result in dramatically increased warranty cost, if product quality is poor. To investigate how these two decisions interact with each other and influence supply chain performance, we develop a single‐period model with a supplier that provides a product to an original equipment manufacturer, which in turn sells it to customers. Customer demand is random and affected by the length of the product warranty period. Warranty costs are incurred by both the supplier and the manufacturer. We analyze two different scenarios based on which party sets the warranty period: manufacturer warranty and supplier warranty. Product quality is controlled by the supplier, and the manufacturer determines the ordering quantity. We analyze these decentralized systems and provide the structural properties of the equilibrium strategies. We also compare the results of centralized and decentralized systems and identify the conditions under which one system provides a longer warranty and better product quality than the other. Our numerical study further shows that, in decentralized settings, when the warranty period is determined by the firm sharing the larger proportion of total warranty costs, the supply chain can achieve greater system‐wide profit. Both parties can therefore benefit from properly delegating the warranty decision and sharing the resulting additional profit. We further design a supplier‐development and buy‐back contract for coordinating decentralized supply chains. Several extensions are also discussed.     

基于智能电网技术的能源网络供应链买电策略研究

智能电网的提出不仅是电网技术本身发展的需要，更是各国能源和经济发展战略层面的需要。可再生能源作为清洁能源的突出代表，其分布式发电系统是智能电网发展的必然趋势。但是，由于天气等因素导致的可再生能源高度不确定性和间歇性却给智能电网系统的稳定带来很大挑战。为了应对这一挑战，并发挥可再生能源的成本优势，本文从微观运营的角度，研究带有可再生能源供给的"多对多"能源网络供应链的买电决策问题，求得能源集成商的最优买电量，以及能源短缺成本、发电厂产能、可再生能源不确定性等参数对最优解的影响。本文发现，发电厂产能对能源集成商使用可再生能源的策略有直接影响。并且，可再生能源产能较大的能源集成商因为规避不确定性风险反而会提高买电量。本文的结论能帮助智能电网节省用电成本，为实现节约型、可靠型和稳定型电网系统提供一定参考。     

Strategic Sourcing in the Presence of Uncertain Supply and Retail Competition

This study develops an analytical model to evaluate competing retail firms' sourcing strategies in the presence of supply uncertainty. We consider a common supplier that sells its uncertain supply to two downstream retail firms engaging in price competition in a horizontally differentiated product market. The focal firm has a dual‐sourcing option, while the rival firm can only source from the common supplier. We assess the system‐wide effects of supply uncertainty on the focal firm's incentive to pursue the dual‐sourcing strategy. We find that the focal firm's dual‐sourcing strategy can create a win–win situation that leads to increased retail prices and expected profits for both firms. Furthermore, under certain conditions, we show that it is beneficial for the focal firm to strategically source from the common supplier, even if its alternative supplier offers a lower wholesale price. Overall, we identify two types of incentives for adopting the dual‐sourcing strategy: the incentive of mitigating supply risk through supplier diversification and the incentive of strategic sourcing for more effective retail competition.