Strategic marketing in global supply chains: Four challenges

Supply chain management has emerged as a critical arena in which firms can find significant cost reduction opportunities, giving them a cost advantage over competitors. When supply chain management orientations are adopted by several firms in a supply chain, together they can significantly reduce supply chain costs pitting supply chain against supply chain. However, the pursuit of cost savings opportunities is not the only objective of supply chain management. Superior supply chain management can facilitate marketing strategy and lead to the creation of superior customer value, satisfaction, and loyalty, which in turn lead to improved product profit margins, overall firm profitability, and overall corporate growth. However, marketing strategy is problematic in global supply chains. Specifically, four significant strategic marketing challenges exist that relate to the development and execution of marketing strategy in global supply chains. This article draws attention to these challenges to stimulate managerial and research efforts that will move marketing strategy through the 21st century.     

An institutional analysis of supply chain innovations in global marketing channels

The adoption of sophisticated supply chain innovations by trading partners in global channels of distribution is often limited by the institutional context of the international transaction. In particular, the regulatory, normative, and cultural-cognitive elements of institutional environments around the world can enhance or inhibit the ability of trading partners to craft the contractual, ownership, and social elements of institutional arrangements required by an innovation. Because supply chain innovations often require costly, new investments and activity sets, firms may be reluctant to participate in an innovation unless a new institutional arrangement can be crafted to provide adequate safeguards and guarantees. A conceptual model is developed to explain the role of institutions in the successful deployment of supply chain innovations in global marketing channels.     

Sourcing in the global aerospace supply chain using online reverse auctions

This article discusses the use of online reverse auctions to source engineered components in global aerospace supply chains using online reverse auctions and examines the specific case where a long-established U.S. economic cluster supporting large tier-one aerospace companies must compete against globally distributed sources of supply favored by their customers due to unit price savings, principally the result of lower wages. The article also examines if global sourcing practices based on power-based bargaining is an intelligent or effective solution to market pressure demanding lower prices, or whether collaborative problem solving and the creation of knowledge-sharing networks offers greater potential for cost savings and improved long-term supply chain competitiveness. Key factors that contributed to the recent failure of global sourcing initiatives using online reverse auctions are presented. Findings can be generalized to other industries that use online reverse auctions for globally sourcing engineered components that rely on networks of supporting service suppliers to create finished goods.     

Decision models in global supply chain management

Integrative decision making is key to effective supply chain management (SCM). This article examines five illustrative supply chain decision models that demonstrate the importance of integrating the decisions across the supply chain. The models that are discussed illustrate the diversity of analytical approaches and their usefulness in managing global supply chain issues. The paper identifies potential areas of additional research where analytical modeling can generate useful insights. The paper also presents a short categorization of decision models from literature.     

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.     

Short-term financing in a cash-constrained supply chain

In this paper we consider a two-level supply chain with a single retailer and a manufacturer, where both the firms are facing financial constraints and can not produce/order their optimal quantity. Our work shows that a lender who finances the manufacturer has a motivation to finance the retailer as well. Motivated by this, we investigate lender's problem of financing both the firms by making a joint decision on the loan amount and comparing it with the case when lender makes independent decision on loan amount for both the firms. Our numerical study indicates that if one of the firms in the supply chain has sufficiently low cash, joint decision (we refer to it as supply chain financing) may be better not only for the lender but for the retailer and manufacturer as well.     

Agility index in the supply chain

To achieve a competitive edge in the rapidly changing business environment, companies must align with suppliers and customers to streamline operations, as well as working together to achieve a level of agility beyond individual companies. Consequently, agile supply chains are the dominant competitive vehicles. Embracing agile supply chain requires asking some important questions, namely: what exactly is agility and how can it be measured? Moreover, how can agility be effectively achieved and enhanced? Due to the ambiguity of agility assessment, most measures are described subjectively using linguistic terms. Thus, this study develops a fuzzy agility index (FAI) based on agility providers using fuzzy logic. The FAI comprises attribute’ ratings and corresponding weights, and is aggregated by a fuzzy weighted average. To illustrate the efficacy of the method, this study also evaluates the supply chain agility of a Taiwanese company. This evaluation demonstrates that the method can provide analysts with more informative and reliable information for decision.     

A conceptual framework for evaluating the most cost-effective intervention along the supply chain to improve food safety

This paper develops a conceptual framework for choosing the most cost-effective intervention along the supply chain to improve food safety. This framework identifies both the initial level of on-farm infection and the potential for new infection post farm-gate as key parameters influencing the relative effectiveness of on-farm and abattoir interventions. In addition, the potential for cost economies of scale in implementing interventions at abattoir compared to on-farm is shown to be a further factor determining the relative cost-effectiveness of these interventions. Overall, it is suggested by the analysis in this paper that successful abattoir interventions will typically be more cost-effective than successful on-farm interventions. These findings are consistent with existing case study evidence.     

SCOR template—A simulation based dynamic supply chain analysis tool

The supply chain operations reference model model (SCOR) is developed and maintained by the Supply Chain Council (SCC). The SCOR model is a reference model that can be used to map, benchmark, and improve supply chain operations. SCOR template is a simulation based analysis tool, developed to capture the dynamics of supply chain operations. The first version of the SCOR template was presented in a previous article by Persson and Araldi (2009). Since the finalisation of the first article concerning the SCOR template, a second version of the SCOR template has been constructed and tested in at a case company; Alfa Laval at Ronneby, Sweden—a manufacturer of heat exchangers. Version 2 of the SCOR template is more complete than the previous version. More metrics were introduced and the return processes included. Emphasis has been on making supply chain analysis simple with the introduction of a new building block—the metric module. The case study at Alfa Laval has been based on data from a value stream mapping (VSM) and aimed at comparing different scenarios in the production networks for one specific product. The results of the comparison are one of the pieces of data that the company managers will use when deciding where to allocate production resources in the international production network.     

On supply chain coordination for false failure returns: A quantity discount contract approach

A large proportion of consumer returns fall into the category of false failure returns, which refer to returns without functional defects. In this paper, we consider profits resulting from exerting costly effort to reduce false failure returns in a reverse supply chain. The supply chain as a whole has a strong incentive to reduce such returns for cost saving. However, retailers typically enjoy a full credit provided by suppliers for returns, so they may not have sufficient incentives to exert enough effort for supply chain profit maximization. In some scenarios retailers may even have the motivation to encourage such returns. We suggest using a coordination contract to resolve this profit conflict. We introduce a quantity discount contract which specifies a payment to the retailer with an amount exponentially decreasing in the number of returns. We present explicit forms of such contracts given different assumptions about the distribution of the number of returns. We also prove that the contract is Pareto improving. Besides, it is shown that when the contract is applied in a closed-loop supply chain, it can deter retailer's potential incentive to encourage returns. Moreover, some modifications of the contract can lead to easy allocation of supply chain profit.     

Modeling agility of supply chain

Agility is the fundamental characteristic of a supply chain needed for survival in turbulent and volatile markets, which are becoming norms as product life cycles shorten and environmental forces create additional uncertainty resulting in higher risk in the supply chain management. Agility further helps in providing the right product, at the right time to the consumer, which is the main objective of any supply chain. In the present paper, using interpretive structural modeling, interrelationships of the variables, influencing supply chain agility, have been derived. These variables have been categorized according to their driving power and dependence. This methodology provides a means by which order can be imposed on the complexity of such variables. The insight from model would help supply chain managers in strategic planning for improving supply chain agility.     

The US fashion industry: A supply chain review

The fashion industry has short product life cycles, tremendous product variety, volatile and unpredictable demand, and long and inflexible supply processes. These characteristics, a complex supply chain and wide availability of data make the industry a suitable avenue for efficient supply chain management practices. The industry has also been in a transition over the last 20 years: significant consolidation in retail, majority of apparel manufacturing operations moving overseas and, more recently, increasing use of electronic commerce in retail and wholesale trade. This paper aims to review the current state of operations and recent trends across the fashion supply chain in the US. We use industry-wide data, articles from business journals, industry reviews and extensive interviews with an apparel manufacturer in California, and a major US department store chain to describe the current operational practices and how the industry is restructuring itself during the transition, focusing at the apparel manufacture and retail segments of the supply chain.     

Internet-enabled coordination in the supply chain

The Internet fosters the integration of business processes across the supply chain by facilitating the information flows necessary for coordinating business activities. However, the Internet also supports the use of market mechanisms, such as auctions, that foster price competition. Using market mechanisms is less likely to generate a sustainable competitive advantage, but they might offer the opportunity to purchase some items at a lower price. Managers have the challenge of selecting the Internet-enabled coordination mechanism that best fits the needs of a variety of business situations in the supply chain. The authors present a framework to assist managers with this decision.     

Electronic marketplaces and supply chain relationships

Electronic marketplaces and supply chain management (SCM) are two notions, which have attracted much attention among both academicians and practitioners during the last 5 years. However, the discussion of the relationship between the two notions has been limited and fragmented. In this paper, we will present a critical summary of the discussion of Internet-driven electronic marketplaces (IEMPs) based on an extensive literature review. Then, we will discuss the interrelation between IEMP and SCM from a procurement portfolio perspective. Our proposition is that different types of buyer-supplier relationships require different types of IEMPs. We propose a relationship/IEMP-grid that should help to identify the right selection strategy for IEMP in various procurement situations. Finally, we present proposals for future research within this area.     

Modeling defaults of companies in multi-stage supply chain networks

The interest in supply chain networks and their analysis as complex systems is rapidly growing. The physical approach to the topic draws on the concept of heterogenous interacting agents. The interaction among agents is considered as a repeated process of orders and production. The dynamics of production in the supply chain network which we observe is nonlinear due to the random failures in processes of orders and production. We introduce an agent-based model of a supply chain network which represents in more detail the real economic environment in which firms operate. We focus on the influence of local processes on the global economic behavior of the system and study how the proposed modifications change the general properties of the model. We observe collective bankruptcies of firms, which lead to self-emerging network structures. Our results give insight into the dynamics of default processes in supply chain networks, which have important implications both for risk managers and policy makers. Based on the simulations we show that agent-based modeling is a powerful tool for optimization of supply chain networks.     

Internet impacts on supply chain management

The traditional way of managing supply chains has changed dramatically over the last 5 years. Face-to-face management, manual tracking systems, paper-dominated order processing systems, and wired communication links were the primary management tools available to logistics managers. Today, they are obsolete. The article provides an overview of some of the new tools and trends discussed in this issue, including website structure, e-purchasing, electronic marketplaces, building vendor relationships, and the use of the Internet in managing supply chains in China.     

A model for supply management of agile manufacturing supply chains

This paper addresses the configuration problem of Manufacturing Supply Chains (MSC) with reference to the supply planning issue. Assuming that the manufacturing system is composed of different stages, we present a technique for the strategic management of the chain addressing supply planning and allowing the improvement of the MSC agility in terms of ability in reconfiguration to meet performance. More in detail, we enhance a previous design method by some of the authors that employs digraph modeling and integer linear programming to optimally design the MSC. The original approach avoids supply chain disruption and stock out and, at the same time, can manage spare parts distribution. In order to take into account the level of demands and maximum production capacities with single/multiple sourcing, in this new formulation we introduce supplier capacity constraints. A case study is presented describing the optimal MSC configuration of an Italian manufacturing firm. The obtained results show that the design method provides managers with key answers to issues related to the supply chain strategic configuration and agility, e.g., choosing the right location for distributors and retailers for enhanced MSC flexibility and performance.     

A two-stage model for the design of supply chain networks

This research aims to develop an analytical model of the supplier selection process in designing a supply chain network. The constraints on the capacity of each potential supplier are considered in the process. The assumed objective of the supply chain is to minimize the level of customer dissatisfaction, which is evaluated by two performance criteria: (i) price and (ii) delivery lead time. The overall model operates at two levels of decision-making: the operational level and the chain level. The operational level concerns decisions related to optimizing the manufacturing and logistical activities of each potential supplier in order to meet the customer's requirements. At the chain level, all the bids from potential suppliers are evaluated and the final configuration of the supply chain is determined. The structure of the chain depends on the product specifications and on the customer's order size. An optimal solution in terms of the models for the two levels can be obtained by using a mixed-integer programming technique.