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.     

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.     

Inventory inaccuracies in the wholesale supply chain

The inventory level shown in the Information System contrary to popular belief and assumptions in most academic papers and in spite of the considerable amounts invested in information technology, is often inaccurate. The inventory inaccuracy occurs when the inventory shown in the Information System is not in agreement with the actually available inventory. In this paper, we first describe the major factors generating inventory inaccuracy. Then, we provide situations permitting to manage an inventory system subject to errors. We provide a general framework permitting to model the inventory inaccuracy issue. In particular, we link the inaccuracy issue with the well known random yield problem. The shown link permits us to derive the optimal ordering policy of an inventory framework where demand satisfaction is done based on the inventory records (which are subject to inaccuracies). We also propose an analysis permitting to show the added value of an advanced identification system such as the RFID technology.     

The role of e-marketplaces in supply chain management

Electronic marketplaces (e-marketplaces) have a profound influence on the way in which organizations manage their supply chains. Proponents of the e-marketplace concept suggest that web-based trading systems, such as World Wide Retail Exchange (WWRE) and GlobalNetXchange (GNX), would enable companies to more efficiently buy, sell, and manage their supply chain processes on a global scale. This study investigates the extent to which e-business tools of the e-marketplace are used by channel members in the retail sector for business-to-business supply chain management (SCM). The study is based on a survey involving food service companies, retailers, and wholesalers in the UK. It is shown that the e-marketplace supply chain applications enable the majority of companies to automate transaction-based activities and procurement-related processes rather than strategic supply chain activities. The results also indicate that full participation in e-marketplaces requires companies to integrate their internal and external supply chain activities and share strategic information.     

Influencing factors in the application of RFID technology in the supply chain

This article analyzes the obstacles in the application of the Internet of Things in the supply chain by means of evolutionary game theory. Through modeling, the game payoff matrix of core enterprises and suppliers as well as their replicator dynamic equations are obtained. Subsequently, an analysis of two populations that adopt the key technology of the Internet of Things, radio frequency identification (RFID), is conducted through replicator dynamics. The two populations achieve an evolutionarily stable strategy through continuous imitation and adjustment to the strategy. Furthermore, through the analysis of relevant parameters, the influence on the RFID application strategy selected by core enterprises and suppliers of factors such as implementation risk, tag cost, system cost, maintenance cost, compelling force of core enterprises, and expected return, among others, is verified.     

Relationship and quality management in the Chinese pork supply chain

This article attempts to integrate transactional and relational governance perspectives to investigate interfirm exchange relationships and quality management in the pork supply chain in China. Data from 229 pork processors from eastern China were used for analysis. Path analysis results reveal positive relationships between the degree of asset specificity and uncertainty and the degree of vertical coordination and between the degree of vertical coordination and quality management practices. However, insignificant positive relationships were found between asset specificity and relational governance in the upstream chain and between uncertainty and relational governance in the downstream chain. A discussion of the results and of the implications of the findings is provided.     

The paradoxes of food waste reduction in the horticultural supply chain

Research on on food waste is often reductionist, in that it attempts to measure food waste at single points within the supply chain. While this enables consideration of where food is being wasted within the supply chain, it does not necessarily answer why and how food is wasted across an entire supply chain. Using a paradox theory approach, the aim of this paper is to address these knowledge gaps by exploring the inherent paradoxes in resolving food waste across a supply chain. Drawing on in-depth qualitative research within the Australian horticulture industry, the findings reveal four macro-level paradoxes relating to policy, markets, responsibility, and marketing. This paper makes a novel contribution through consideration of a holistic, whole of chain perspective in relation to food waste. It also extends paradox theory into food waste scholarship. From a managerial perspective, the visibility of paradoxes highlights the need for organisations in the food supply chain to look beyond their own organisational boundaries and adopt a whole-of-chain approach in an attempt to address food waste.     

An improved algorithm and solution on an integrated production-inventory model in a three-layer supply chain

Ben-Daya et al. (2010) established a joint economic lot-sizing problem (JELP) for a three-layer supply chain with one supplier, one manufacturer, and multiple retailers, and then proposed a heuristic algorithm to obtain the integral values of four discrete variables in the JELP. In this paper, we first complement some shortcomings in Ben-Daya et al. (2010), and then propose a simpler improved alternative algorithm to obtain the four integral decision variables. The proposed algorithm provides not only less CPU time but also less total cost to operate than the algorithm by Ben-Daya et al. (2010). Furthermore, our proposed algorithm can solve certain problems, which cannot be solved by theirs. Finally, the solution obtained by the proposed algorithm is indeed a global optimal solution in each of all instances tested.     

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.     

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.     

The competition among mobile network operators in the telecommunication supply chain

In the mobile telecommunication sector, the high competitiveness has increased the complexity of strategic interactions among operators. As the vertical integration has become anything but a choice and not a compelling technical solution, the contest takes place at different levels of the components of the operator value chain: the network infrastructure, the service development and supply, and the relationship with consumers.Mobile virtual network operators act as retailers and concentrate on the last segment of the value chain by establishing commercial agreements with hosting network operators, which act as manufacturers, to get access to radio communications infrastructure. Productive processes of mobile services offered by operators are different and this difference is imperceptible to customers. Processes difference mainly consists in the infrastructural diversity of the operators and implies different consequences on each network service element.A model has been defined to analyze the consequences of such diversity in the competition among HNOs, MNOs, and MVNOs by focusing the attention on the characteristics of the call path, in dependence of the types of operators. In fact, many variables interact to define the call path, such as marginal costs and revenues, infrastructural investments, and interconnection charges among operators. The analysis of the results, obtained by the model, gives information on variations of retail prices, market shares, and profit allotment, to adopt the proper strategies. In particular, the model results shed light on how certain MVNOs should enter the markets and adopt a collaborative strategy with HNOs. The model owns the capability of being applied to different contexts, thus representing for the regulator a potential instrument of relevant usefulness.     

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.     

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 analysis of bullwhip effect in a HMMS-type supply chain

The aim of the paper is to investigate the well-known bullwhip effect of supply chains. Control theoretic analysis of bullwhip effect is extensively analyzed in the literature with the Laplace transform. This paper tries to examine the effect for an extended Holt-Modigliani-Muth-Simon model. A two-stage supply chain (supplier-manufacturer) is studied with quadratic costs functional. It is assumed that both firms minimize the relevant costs. The order of the manufacturer is delayed with a known constant. Two cases are examined: supplier and manufacturer minimize the relevant costs decentralized, and a centralized decision rule. The question is answered, how to decrease the bullwhip effect.     

Assessing the influence of the organization in the supply chain management using NK simulation

Supply chain management advocates that the whole supply chain (SC) from the material suppliers to the end customers must be managed by adopting an integrated approach. However, different forms of governance can be adopted to pursue integration, ranging from the pure market to the hierarchy. While integration has been extensively investigated in the literature by adopting an operative perspective, the organizational perspective has been less used. However, the way the SC is organized influences the SC performance. This topic is investigated by using a recent tool offered by complexity science, namely the NK simulation model. In the proposed NK model, N represents the decisions that SC firms should make and K the interdependencies among the SC decisions calling for integration. The model reproduces how the different SC forms of governance evolve and adapt to the landscape corresponding to a SC specific integration problem. A simulation analysis is carried out to identify the SC forms of governance appropriate to the SC integration problems.     

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.     

Assessing the relational benefits of logistics services perceived by manufacturers in supply chain

The growing importance of logistics activities that span the boundaries of supply chain firms has put an emphasis on supply chain relationship management. Based on the existing marketing concept on relational benefits and the supply chain management literature on consumer satisfaction, this research evaluates logistics service performance from the eyes of manufacturers. Using data collected from US manufacturing firms, the study has identified the factors that influence manufacturer's satisfaction, as well as the key to understanding the benefits-satisfaction-loyalty triads in supply chain relationships. The contribution of the paper includes developing a conceptual model, adding new theoretical insights into benefits-satisfaction-loyalty triad that has been applied by manufacturers and LSPs, and providing some meaningful perspective on how to strategically assess the use of logistics providers so as to transform a logistics firm from a tactical service provider to a hand-in-glove strategic partner.     

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.     

Evaluation of postponement in the soluble coffee supply chain: A case study

This paper, through a case study, evaluates postponement as an option to improve supply chain performances in a soluble coffee manufacturer. The main focus of the paper is on the development of a numerical data-driven methodology for quantifying the benefits of postponement obtained from the total inventory reduction. Our study shows that significant cost savings are achievable by delaying the labelling and packaging processes until actual orders from retailers are known. These savings include the reduction of the cycle stock, safety stock, and obsolete stock unsold from promotional events. We also discuss the cost implications of the proposed configuration that may offset the estimated potential benefits. The methodology presented in this paper can also be used in many other supply chains, particularly in the food industry with similar environments. This paper contributes to the literature in extending the very short list of published work presenting a systematic methodology of characterising the postponement benefits in real world settings and driven by numerical data.