The intersection of strategic management and supply chain management

Strategic management and supply chain management (SCM) have overlapping interests, yet there has been little exchange between them. We examine areas of overlap and suggest how insights from each field can complement and support the other. Specifically, several of strategic management's theories and its emphasis on explaining firm profits should be useful to SCM. SCM offers to strategic management a new level of analysis and possibly a new type of organization. Overall, we argue that increased interaction between these important areas will benefit knowledge development in both and thereby enhance organizations' ability to meet their goals.     

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.     

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.     

Strategic Internet application trends in supply chain management

The Internet is evolving as a powerful force in the new marketplace where the nexus of competition has changed from individual firms to efficient supply chain networks both between firms and within industries. This study explores Internet adoption patterns and operational applications in US supply chain networks. The data reveal that the integration of the Internet into supply chain management applications has increased and has moved away from indiscriminate application of novel Internet technologies towards becoming a focused endeavor with precise expectations and measurable goals. Specifically, the study finds that Internet usage within supply chains is maturing as evidenced by enhanced and increased productivity, reduced costs and increased profit for participating firms.     

建筑企业供应链管理中的不确定性研究

对建筑企业供应链管理中的不确定性因素进行了详细的剖析，分析了它们对建筑企业供应链管理的影响，并深入探讨了降低建筑企业供应链管理中不确定性影响的措施。     

The effects of management inertia on the supply chain performance of produce-to-stock firms

This article examines the impact of inertia on the management of the firm's supply chain operations and the effects it can have on a produce-to-stock firm's ability to respond to external market pressure and develop corrective strategies. The research methodology used is based on earlier Catastrophe Modeling that looked at inertia in organizational design, competitive pressure, and competitive response. The model demonstrates how latent variables, such as customer pressure and supply chain inertia can influence a finished goods supply chain management's response under various conditions. The model was tested and validated using questionnaire data gathered from a sample of members of the Council of Logistics Management. The model was used to estimate individual finished goods firm inertia response estimates. We incorporate these estimates in a brief examination of three produce-to-stock firms from the sample to give readers an idea of the usefulness of the approach in examining supply chain inertia.     

Robust supply chain management

Faced with uncertainty, researchers have explored concepts such as robustness, flexibility, information structure, options, and market power for supply chain management. Despite many influential findings, such as the presence of the bullwhip effect and channel power, the literature in supply chain management is a bit confusing with regard to these concepts, including how they are related to each other. In light of this, we discuss the meaning of the terms in a supply chain management context. We indicate what questions are at stake and some pitfalls to be aware of if the phenomenon we are concerned about is affected by strategic players. This paper is modelling focused.     

Linking product modularity and innovativeness to supply chain management in the Italian furniture industry

Much of the literature on modularity assumes that firms with modular products adopt modular organization. In the realm of supply chain management, no consensus has been reached on the effects of product modularity on supply chains (SC). This paper investigates whether SC choices depend on product modularity and innovativeness, and how SC choices can be aligned to these product features to maximize performance. A medium scale survey has been performed in the Italian furniture industry. By means of factor and cluster analyses, the SC of firms that introduced products with different levels of modularity and innovativeness have been compared. The results show that both product features must be considered when designing the SC.     

Identifying risk issues and research advancements in supply chain risk management

The purpose of this paper is to investigate the research development in supply chain risk management (SCRM), which has shown an increasing global attention in recent years. Literature survey and citation/co-citation analysis are used to fulfil the research task. Literature survey has undertaken a thorough search of articles on selected journals relevant to supply chain operations management. Meanwhile, citation/co-citation analysis uses Web of Sciences database to disclose SCRM development between 1995 and 2009. Both the approaches show similar trends of rising publications over the past 15 years. This review has piloted us to identify and classify the potential risk associated with different flows, namely material, cash and information flows. Consequently, we identify some research gaps. Even though there is a pressing need and awareness of SCRM from industrial aspect, quantitative models in the field are relatively lacking and information flow risk has received less attention. It is also interesting to observe the evolutions and advancements of SCRM discipline. One finding is that the intellectual structure of the field made statistically significant increase during 2000-2005 and evolved from passively reacting to vague general issues of disruptions towards more proactively managing supply chain risk from system perspectives.     

Supply management and e-procurement: creating value added in the supply chain

The increasing emphasis on supply chain management is creating a greater focus on the supply management link in the supply chain. This focus will become even more intense as firms continue to adopt e-procurement strategies to leverage the competitive advantages of the Internet. Supply managers need to understand the impact of technology and gain competency in making a business case for e-procurement. The implications are profound for the industrial marketer.     

An autonomous multi-agent approach to supply chain event management

Organizations have made a significant effort to implement software for planning and scheduling, but disruptive event management is still a problem to be solved. Since a disruptive event can affect the overall performance of the supply chain, SCEM (Supply Chain Event Management) systems presenting different automation levels such as monitoring, alarm and decision support have been proposed. However, the management of disruptive events, taking into account the distributed nature of the supply chain, the members' autonomy and the ability to exert corrective control actions, has been identified as a problem that requires further research. This work presents an agent-based approach for the SCEM problem, which can perform autonomous corrective control actions to minimize the effect of deviations in the plan that is currently being executed. These control actions consist of a distribution of the variation between supply chain members, using the plan's slack in a collaborative way. An innovative feature of this approach is its focus on resources, which are affected by disruptive events in a direct way. Based on this approach, a SCEM system is designed as a net of control points defined on resources connected through supply process orders. Two novel aspects are the distributed collaborative inter-organizational architecture of the SCEM system and a Double Contract Net Protocol. This protocol allows a set of resource:representing agents to interact through an agent, representing a supply process order as a mediator. An application to a case study of the Multi-Agent SCEM system implemented with JADE is provided.     

An empirical analysis of supply chain risk management in the German automotive industry

The purpose of this paper is the empirical analysis of supply chain risk management practices. The analysis is based on a survey with 67 manufacturing plants conducted in the German automotive industry. After investigating the vulnerability of supply chains in general and examining key drivers of supply chain risks, the paper identifies supply chain risks by analyzing their likelihood to occur and their potential impact on the supply chain. The results are visualized in the probability-impact-matrix distinguishing between internal and external supply chain risks. Furthermore, instruments for dealing with supply chain risks are investigated. Therefore, the impact of supply chain risk management on performance is tested. In order to distinguish between companies with a high degree of supply chain risk management and those with no or only limited implementation the plants are grouped by means of a cluster analysis based on factors reflecting the instruments of supply chain risk management. In particular, groups are created representing two different approaches to deal with supply chain risks, i.e. reactive and preventive supply chain risk management. The clusters are investigated concerning differences in terms of performance criteria. The analyses reveal that companies with a high implementation degree show a better supply chain performance. Furthermore, the results show that the group using reactive supply chain risk management has higher average value in terms of disruptions resilience or the reduction of the bullwhip effect, whereas the group pursuing preventive supply chain risk management has better values concerning flexibility or safety stocks.     

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.     

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.     

Logistics and supply chain management in luxury fashion retail: Empirical investigation of Italian firms

The Italian industry of fashion goods is a business worth 67.6€ billion in 2006 (Il Sole 24ore, January 10, 2007), of which about 26€ billion is due to the luxury segment. Marketing gurus state that “consumers everywhere at every income level want more luxury” [Danziger, P.N., 2005. Let them Eat the Cake: Marketing Luxury to the Masses as well as the Classes. Dearborn Trade Publishing, Chicago]: therefore, companies should move brands towards a higher positioning and add more valuable features to products and services, but this cannot be obtained only by means of marketing efforts. Which is the role of operations and supply chain management in luxury fashion companies’ success? This paper presents the results of the exploratory stage of a research project ongoing at Politecnico di Milano and dealing with supply chain management in the luxury fashion industry. In total, 12 Italian luxury fashion retailers have been studied in order to describe the main features of operations and supply chain strategies in the luxury fashion segment and to identify their role with respect to the relevant critical success factors.     

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.     

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.     

Decision support for build-to-order supply chain management through multiobjective optimization

This paper aims to identify the gaps in decision-making support based on multiobjective optimization (MOO) for build-to-order supply chain management (BTO-SCM). To this end, it reviews the literature available on modelling build-to-order supply chains (BTO-SC) with the focus on adopting MOO techniques as a decision support tool. The literature has been classified based on the nature of the decisions in different part of the supply chain, and the key decision areas across a typical BTO-SC are discussed in detail. Available software packages suitable for supporting decision making in BTO supply chains are also identified and their related solutions are outlined. The gap between the modelling and optimization techniques developed in the literature and the decision support needed in practice are highlighted. Future research directions to better exploit the decision support capabilities of MOO are proposed. These include: reformulation of the extant optimization models with a MOO perspective, development of decision supports for interfaces not involving manufacturers, development of scenarios around service-based objectives, development of efficient solution tools, considering the interests of each supply chain party as a separate objective to account for fair treatment of their requirements, and applying the existing methodologies on real-life data sets.