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Large scale human genome projects have created tremendous human genome databases for some well‐studied populations. Vietnam has about 95 million people (the 14th largest country by population in the world) of which more than 86% are Kinh people. To date, genetic studies for Vietnamese people mostly rely on genetic information from other populations. Building a Vietnamese human genetic variation database...
Background Neonatal tetanus continues to occur in many resource-limited settings but there are few data regarding long-term neurological outcome from the disease, especially in settings with critical care facilities. Methods We assessed long-term outcome following neonatal tetanus in infants treated in a pediatric intensive care unit in southern Vietnam. Neurological and neurodevelopmental testing...
This paper aims at presenting the new 2-stage framework of Robust Optimization for Lean Supply Chain design under uncertainty by using the so-called Dual Lean Filter. First, we formulate one quantitative model of Fat Supply Chain in stable circumstance based on the six-performance drivers of Chopra and Meindl, (2013). Then, we propose one novel procedure called Forward Lean Filter in order to transform...
This article proposes a new approach to optimize a milk-run delivery in supply chain (SC) which was introduced by Zhou and Kelin (2011). These authors particularly formulated the mathematical model of SC total cost at operational level for milk-run delivery and used Ant Colony Optimization (ACO) to find out the results in one specific case study. Yet, the solution found by this Meta- Heuristics did...
Forest vehicle routing is an important step in optimization of forest transportation system to minimize the total cost. To perform this work, we propose a mathematical model and use a reactive tabu search metaheuristic approach. The objective is to minimize the total cost by respecting the time window of all customers which is sometimes important in this field. Finally, the experimental results obtained...
Cellular Systems Design Problems (CSDP) constitute an important issue in the design of Cellular Manufacturing Systems (CMS). A few years back, it emerged as the best alternative in manufacturing systems, representing a compromise between the efficiency of serial and the flexibility of batch production systems. In this paper, we propose a hybrid approach for solving the CSDP for large industrial data...
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