30,294 research outputs found

    Scor Quality Model Affecting Manufacturing Firm’s Supply Chain Quality Performance And The Moderating Effect Of Qms

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    The main objective of this study is hypothesis testing to explain the nature of the relationship between the independent variables (The SCOR quality model) and the dependent variable (Supply Chain Quality Performance) and moderated by (QMS). Objektif utama kajian ini adalah untuk menerangkan hubungan antara model SCOR kualiti dengan prestasi kualiti rantaian bekalan sesebuah firma dan QMS memoderasikan huungan model SCOR kualiti dengan prestasi kuality rantaian bekalan

    Supply chain management and the Romanian transition

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    The purpose of this paper is to perform a systemic analysis of the Supply Chain Management, and to show what are the essential aspects of such a complex process. Actually, it is an integral perspective of intra- and interorganizational management activities aiming at the optimization of all important tangible and intangible fluxes and forces acting in a multifield framework. In the same time, we are looking at the Romanian transition and show how such a new perspective can be applied to the business environment. The analysis is challenging, since Romania is in a deep change process from a centrally planned economy toward a free market economy.management, supply chain management, system analysis, transition economy.

    Inventory drivers in a pharmaceutical supply chain

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    In recent years, inventory reduction has been a key objective of pharmaceutical companies, especially within cost optimization initiatives. Pharmaceutical supply chains are characterized by volatile and unpredictable demands –especially in emergent markets-, high service levels, and complex, perishable finished-good portfolios, which makes keeping reasonable amounts of stock a true challenge. However, a one-way strategy towards zero-inventory is in reality inapplicable, due to the strategic nature and importance of the products being commercialised. Therefore, pharmaceutical supply chains are in need of new inventory strategies in order to remain competitive. Finished-goods inventory management in the pharmaceutical industry is closely related to the manufacturing systems and supply chain configurations that companies adopt. The factors considered in inventory management policies, however, do not always cover the full supply chain spectrum in which companies operate. This paper works under the pre-assumption that, in fact, there is a complex relationship between the inventory configurations that companies adopt and the factors behind them. The intention of this paper is to understand the factors driving high finished-goods inventory levels in pharmaceutical supply chains and assist supply chain managers in determining which of them can be influenced in order to reduce inventories to an optimal degree. Reasons for reducing inventory levels are found in high inventory holding and scrap related costs; in addition to lost sales for not being able to serve the customers with the adequate shelf life requirements. The thesis conducts a single case study research in a multi-national pharmaceutical company, which is used to examine typical inventory configurations and the factors affecting these configurations. This paper presents a framework that can assist supply chain managers in determining the most important inventory drivers in pharmaceutical supply chains. The findings in this study suggest that while external and downstream supply chain factors are recognized as being critical to pursue inventory optimization initiatives, pharmaceutical companies are oriented towards optimizing production processes and meeting regulatory requirements while still complying with high service levels, being internal factors the ones prevailing when making inventory management decisions. Furthermore, this paper investigates, through predictive modelling techniques, how various intrinsic and extrinsic factors influence the inventory configurations of the case study company. The study shows that inventory configurations are relatively unstable over time, especially in configurations that present high safety stock levels; and that production features and product characteristics are important explanatory factors behind high inventory levels. Regulatory requirements also play an important role in explaining the high strategic inventory levels that pharmaceutical companies hold

    Dynamic Inventory Control with Satisfaction-Dependent Demand

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    In this paper, we consider the discrete multiperiod newsvendor dynamic inventory control problem where customers follow a simple satisfaction-based demand process, where their probability of demand depends on whether their demand was satised the last time they demanded a product, and observe the differences between optimal policies and myopic policies which do not directly consider how inventory policies can affect future demand. We conrm the intuitive result that inventory managers should tend to order more than the myopic policy when satised customers are more likely to demand product, and less than the myopic policy when satised customers are less likely to demand. Moreover, we and that, when choosing a fixed order policy, even an empirically myopic solution with perfect demand distribution information will move away from the optimum towards a suboptimal solution.

    Analysing divergent logistic networks with local (R, S) inventory control

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    This paper deals with divergent logistic networks where the inventory at each node is controlled using a periodic review strategy with order-up-to level. An approximate method is presented to analyse the network performance (service levels, mean physical stock). The method is tested on a range of 2-echelon and 3-echelon networks by comparison to results from Monte Carlo simulation. We conclude that the approximation accuracy is sufficient for global network design in many practical situation

    The Lean Concept in the Food Industry: A Case Study of Contract a Manufacturer

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    The paper discusses how the lean concept could be applied to a food-manufacturing company. The paper first presents the lean concept and value-stream mapping tools. The empirical section discusses how a case company, operating as a contract manufacturer in the food industry, has applied the lean production concept and tools. In the case study, three analysis tools are examined and the structures of demand chains of different customers are presented. The delivery times will decrease and more flexibility will be needed from the contract manufacturer. The case study shows that much movement is possible toward the lean supply chain and partnership-based cooperation. By implementing the lean concept, food companies can increase customer value through cost reduction or through provision of additional value-enhanced services.Agribusiness,

    Developing supply chain maturity

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    This study introduces an empirical model of supply chain maturity and assesses its impact upon performance. Findings suggest that supply chain maturity is multi-dimensional including the areas of planning, sourcing, making, delivering, new product development, and returning. Valid and reliable measures, scales and supply chain maturity constructs were formulated and significant positive links found with multiple objective performance measures. The supply chain maturity framework is thus concluded to be robust for answering questions relating to where a supply chain is in developmental terms and what may be done to continue improving upon the design. Possible areas for further research and implications for managers are also raised.Supply Chain Design; Supply Chain Coordination;
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