In the competitive business environment, there exist high levels of interactions between components/agents of a supply chain. However, these interactions are further amplified by uncertain events caused by natural and man-made actions. The two common modes of disruptions are supply and demand disruption in practice. The supply chain of an enterprise is highly sensitive to supply and demand disruption. In this work, we thus integrate supply and demand disruptions and a mathematical optimization approach is proposed to formulate a scenario-based supply chain disruptions management framework. The model presented in this paper makes an attempt to determine the ordering portfolio to the selected set of suppliers in a pre-disruption and post-disruption situation using a scenario-based approach. However, the model tries to capture quality performance of the suppliers, along with delivery performance of the outside suppliers an enterprise asks for as a whole. We minimize the sum of purchasing cost from local supplier and the expected cost in the event of disruptions. The demand and the fraction of order supplied by the outside suppliers are assumed to be normal probability distribution with mean value and associated standard deviation. In a disruption scenario, the discrete values of demand and order fraction are taken from random number generation. GAMS-CPLEX 24.1.3 software is used to solve the model. The proposed model could provide an effective tool to actively react to disruptions that could happen in the supply chain of an enterprise. The application of the proposed framework is illustrated through a hypothetical case study.

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Brand research has been primarily focused on accounting issues such as estimating brand value (ex. Japan's Ministry of Economy, Trade, and Industry, 2002) and value relevance since the 1980s. However, estimated brand values are not necessarily useful information when creating strategies for competitive advantage in brand management. In this paper, we do components analysis of the competitive advantage of brands, using a case study of Fast Retailing, a leading company in Japan's apparel industry. We analyze each component of Fast Retailing's strategies using the three aspects of competitive advantage as proposed by the METI model. In doing so, we will show that a components analysis of competitive advantage can provide useful information in brand strategy management.

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In this paper we deal with a model for optimizing the costs of an integrated production, distribution and package reprocessing problem. As a contribution to integrated production and distribution model, a reverse material Žow of returnable packages material (RPM) Žow and a retreating process of the RPM are incorporated into the model and extended to a closed-loop supply chain. A linear programming mathematical model is constructed for the beverage industry, although the model could also be applied to other industry that includes a RPM feedback Žow. The optimization model provides a number of decision variables such as production quantity and time, RPM ratio, production line allocation transportation routing, RPM retreating scheduling. The proposed model allows to introduce and change multiple parameters in each of the different parts of the closed loop supply chain. Finally, a numerical example involving a bottling industry of standardized packaging is solved utilizing the optimization software Gurobi, and a minimal cost solution is presented.

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When the new era of knowledge has came stealthily, economy development “restructure” emerged, that means some industries such as cultural have became the dominant forces with its have been solidly established to promote economic growth in the contemporary economic development agenda. At the same time, the innovative development model for industrial agglomeration has replaced the traditional mode of economy in the past. In this work we try to draw an interdisciplinary framework aimed to integrate a social cognitive approach with organizational research about cultural industrial clusters in order to investigate whether and how social environment may affect clusters' dynamics. In particular,taking the case of national culture industry park in Qujiang of Xi'an from 2003 to 2012. This analysis is conducted based on selected variables that reŽect the natural endowment, government contributions, enterprise performance of industrial agglomeration sector. Using the system dynamics to constitute innovation support system model on regional cultural industry cluster. We demonstrate that government planning policy practical features and potential inŽuences on cultural industry sustainable development. Finally, the analysis yields a model with a tool to build “dynamic monitoring” mode instead of merely focus on the static target “blueprint” mode in an increasingly competitive culture industrial market.

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The purpose of this paper is to investigate a supplier-retailer supply chain that experiences disruptions in supplier during the planning horizon. There are multiple options to supply a raw material, to manufacture or assemble the product, and to transport the product to the customer. While determine what suppliers, parts, processes, and transportation modes to select at each stage in the supply chain, options disruption must be considered. In this paper, we show that changes to the original plan induced by a disruption may impose considerable deviation costs throughout the system. When the production plan and the supply chain coordination scheme are designed in a static manner, as is most often the case, both will have to be adjusted under a disruption scenario. Using dynamic policies, we derive conditions under which the supply chain can be coordinated so that the maximum potential profit is realized.

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