Inventory control in a two-level supply chain with risk pooling effect

We consider an inventory control problem in a supply chain consisting of a single supplier, with a central distribution center (CDC) and multiple regional warehouses, and multiple retailers. We focus on the problem of selecting warehouses to be used among a set of candidate warehouses, assigning each retailer to one of the selected warehouses and determining replenishment plans for the warehouses and the retailers. For the problem with the objective of minimizing the sum of warehouse operation costs, inventory holding costs at the warehouses and the retailers, and transportation costs from the CDC to warehouses as well as from warehouses to retailers, we present a non-linear mixed integer programming model and develop a heuristic algorithm based on Lagrangian relaxation and subgradient optimization methods. A series of computational experiments on randomly generated test problems shows that the heuristic algorithm gives relatively good solutions in a reasonable computation time.     

Inventory control in a two-echelon dual-channel supply chain with setup of production and delivery

This paper considers a two-echelon dual-channel supply chain model with setup of production and delivery and develops a new inventory control policy for the supply chain. Previously, a two-echelon supply chain model without setup of production and delivery is considered and a one-for-one inventory control policy is applied to the supply chain. In the inventory control policy, production is stopped when the warehouse inventory reaches the upper limit and is started again immediately after the inventory drops below the limit. Moreover, delivery to the retailer is stopped when the store inventory reaches the upper limit and is started again immediately after the inventory drops below the limit. The total cost that consists of inventory holding costs and lost sales cost is considered, and setup costs are not considered in the total cost. Once setup costs are introduced, the one-for-one inventory control policy is no longer appropriate. Then, this paper develops a new control policy for the two-echelon dual-channel supply chain with setup of production and delivery. As performance measure, the total cost that consists of inventory holding costs, lost sales cost, and production and delivery setup costs is considered, and the total cost calculated on the basis of Markov analysis demonstrates the effectiveness of the proposed control policy.     

Impact of RFID information-sharing strategies on a decentralized supply chain with reverse logistics operations

The integration of environmental practices in a supply chain has been study for the past few decades. However, most of the work relies on centralized decisions made by one player. Few papers address the complex dynamics of environmental decentralized supply chains and how these dynamics can affect environmental and economic outcomes. To study this problem, we consider a supply chain with a manufacturer and two different suppliers: a recycled-material and a raw-material supplier. The players make individual inventory decisions to satisfy demand and reduce cost. Further, this supply chain encompasses stochastic elements such as in demands, returns, and collection leadtimes. These decentralized decisions and random factors can cause underperforming results; therefore, new inventory models and technologies are needed to help companies increase coordination within these systems. We model the implementation of Radio Frequency Identification (RFID) in the supply chain to determine if real-time inventory monitoring and information sharing can help the system attain higher environmental benefits (more returns) and higher economic benefits (less cost). We study two scenarios through a simulation-based analysis: No RFID and RFID. Numerical studies show that environmental benefits are significantly increased with the attainment of more returns. However, although economic benefits are realized, they are less significant than the environmental benefits. Further regression and sensitivity analyses on the cost performance measures reveal that economic benefits depend on several drivers inside the system. We present managerial insights that illustrate what configurations within this complex system can lead to the achieving of environmental as well as economic benefits.     

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.     

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.     

The joint replenishment and freight consolidation of a warehouse in a supply chain

We have developed joint replenishment and consolidated freight delivery policies for a third party warehouse that handles multiple items, which have deterministic demand rates in a supply chain. Two policies are proposed and mathematical models are developed to obtain the optimal parameters for the proposed policies. Four efficient algorithms are presented to solve the mathematical models for the two policies. The performances of the two policies with the parameters obtained from the proposed algorithms are then compared with the common cycle approach for 1600 randomly generated problems. The results show the robust performance of the proposed algorithm for both policies.     

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.     

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.     

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.     

Developing an organizational typology of criminals in the meat supply chain

The European Horsemeat Scandal of 2013 highlighted the increasing organization and sophistication of the contemporary food criminal. This study aims to develop a more sophisticated understanding of the typology of the food criminal in terms of their modus operandi and how individuals and organized crime groups develop criminal business models and networks in the context of meat supply. This research initiates a synthesized literature review across the seemingly disparate academic disciplines of food and agricultural policy, business theory and criminology in order to characterize the modes of operation at work in such networks. A conceptual framework is developed that considers the actors and drivers involved in criminal activity using the meat supply chain as an example.     

Joint pricing and procurement of fashion products in the existence of clearance markets

This paper focuses on the joint pricing and procurement of fashion products in the existence of clearance markets. It is assumed that the expected regular season demand is a linear decreasing function of the price and the end of period excess inventory is sold at a known discounted price in a clearance market where the demand is a random variable that follows a general distribution. It is shown that the expected profit function is unimodal and the optimal procurement quantity and price can be found from the first order conditions. Existence of a clearance market increases the profit, price, and the procurement quantity. In order to prove this, the optimal procurement and pricing policy of a price-setting retailer who does not have a clearance market is provided. As opposed to the literature, it is shown that the expected profit function of this problem is unimodal as well. A numerical study demonstrating the magnitude of the increase in profit, procurement quantity, and price is reported.     

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 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.     

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.     

Examining sustainability performance in the supply chain: The case of the Greek dairy sector

This paper evaluates the sustainability performance of the Greek dairy chain and the performance of its individual members by using key indicators in relation to efficiency, flexibility, responsiveness and product quality. We assessed the importance of these indicators based on the relevant perceptions of key members of this chain. A structured questionnaire was developed where nineteen sustainability-related issues were examined. Two hundred and fifty three members of the Greek dairy supply chain responded including breeders, manufacturers, wholesalers, retailers and catering companies. Our findings illustrate the immediate need for improvement in many key sustainability performance indicators. They also show the critical role of large dairy manufacturers who are the “sustainability performance champions” in this chain and are the driving force for the implementation of many sustainability initiatives.     

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.