Suchergebnisse

In the background of global tobacco control smoking, tobacco technology as a technology with a clear negative effect, has not disappeared from time to time in the world, but has gradually narrowed down the scale and social impact in the efforts of governments, Which in addition to economic, institutional, technical factors, but also contains a profound cultural roots. From the perspective of Social science and technology, taking the tobacco industry technology in China as an example, the tobacco culture has emphasized the traditional culture of Chinese culture, the spread of tobacco standards to traditional Chinese culture, the inheritance of tobacco to traditional hierarchical concepts. The cultural characteristics of smoking behavior in the field of social life, and the systematic analysis of the social function of the decision-making of China's tobacco technology development, the humanization of technological products and the huge technical premium, and the deep cultural connotation of the tobacco industry and the long-term impact of technology on social culture, from the perspective of social and cultural barriers to smoke control has a certain significance.

本书根据人民出版社1996年3月第一版北京第一次印刷版本翻译出版

Marxism is the science of universal standard. The truth, practicality, scientific of Marxism has been proved by history. But with the development of practice, the development of Marxist theory itself is facing a new opportunity, also faced with unprecedented challenges. How to effectively cope with the challenges?Such as: Is communism a utopia? The labor theory of value is effective? Socialist country is democracy? And so on. All these problems are the socialist system and Marxist must think and answer.

As a Marxist, how to truly stand in the position of Marxism, using the Marxist method and point of view to observe the social and economic development and the progress of human civilization and world history, is the problem of contemporary Marxists has to think about. Or it will lose vitality, and will be out of date, and possible failure. The most familiar example is the socialist power caused by the collapse of the Soviet Union and its consequences.

As important heritage and development of Marxist theory, the Communist Party of China has always been guided by the Marxism theory, whether in revolution, construction and reform, or the governing principle politics today. Can say, not only accumulated a very valuable historical experience, but also enriched and developed Marxism, the Communist Party of China have a say in the history of Marxist development.

So, we need to discuss three questions, the effectiveness of the Marxist theory, and understanding of Marxist trajectory of the Communist Party of China, the challenge for the Marxism theory and how to deal with.

With the increasing complexity of supply chains led by economic globalization, integrated supply chain management has become an important strategy utilized by the firms to reduce the overall cost while meeting the customer service. This change has made academic researchers and industrial practitioners pay more and more attention to multi-echelon inventory management over the last two decades. In this thesis, we study multi-echelon inventory systems with fixed order costs at each stock. Because of the existence of fixed order costs, the optimization of such system becomes very complicated. Recently, Guaranteed Service Approach (GSA) was used to set safety stock for multi-echelon inventory systems, but without fixed order costs. We extend the GSA to optimize (R, Q) inventory policies for multi-echelon inventory systems with Poisson demand and fixed order costs. Our objective is to find optimal (R, Q) policy for such a system so that its total cost is minimized while achieving a service level to customer. Three types of multi-echelon inventory systems, serial systems, assembly systems and two-level distribution systems are considered. For each type, we first establish a mathematical model for the optimization problem. Then, the model is solved by an iterative procedure based on two dynamic programming (DP) algorithms. One DP algorithm is used to solve the order size decision subproblem and the other is used to solve the reorder point decision subproblem of the model. Numerical experiments demonstrate the efficiency of the algorithms and the procedure ; Face à une concurrence féroce par suite de la modélisation économique, les entreprises doivent bien gérer leurs chaînes logistiques afin de réduire leurs coûts d'exploitation tout en améliorant leurs services au client. Un enjeu majeur de cette gestion et la gestion efficace des stocks multi-échelons. Dans cette thèse, nous étudions des systèmes de stocks multi-échelons avec des coûts de passation de commande à chaque stock. En raison de l'existence des coûts de passation de commande, l'optimisation d'un tel système devient très compliquée. Récemment, l'approche de service garanti (GSA) a été utilisée pour déterminer les stocks de sécurité pour les systèmes de stocks multi-échelons, mais sans coûts fixes de passation de commande. Nous généralisons la GSA pour optimiser la politique de stockage (R, Q) d'un système de stocks multi-échelons avec la demande suivant un processus de Poisson et coûts fixes de passation de commande à chaque stock. Nous considérons trois types de systèmes de stocks multi-échelons, et pour chaque type, nous d'abord établissons un modèle mathématique pour le problème d'optimisation. Ensuite, le modèle est résolu par une procédure itérative fondée sur deux algorithmes de programmation dynamique (DP). Un algorithme DP est utilisé pour résoudre le sous-problème de détermination de quantités de commande et l'autre est utilisé pour résoudre le sous-problème de détermination de points de recommande du modèle. Les résultats numériques démontrent l'efficacité des algorithmes et de la procédure

With the increasing complexity of supply chains led by economic globalization, integrated supply chain management has become an important strategy utilized by the firms to reduce the overall cost while meeting the customer service. This change has made academic researchers and industrial practitioners pay more and more attention to multi-echelon inventory management over the last two decades. In this thesis, we study multi-echelon inventory systems with fixed order costs at each stock. Because of the existence of fixed order costs, the optimization of such system becomes very complicated. Recently, Guaranteed Service Approach (GSA) was used to set safety stock for multi-echelon inventory systems, but without fixed order costs. We extend the GSA to optimize (R, Q) inventory policies for multi-echelon inventory systems with Poisson demand and fixed order costs. Our objective is to find optimal (R, Q) policy for such a system so that its total cost is minimized while achieving a service level to customer. Three types of multi-echelon inventory systems, serial systems, assembly systems and two-level distribution systems are considered. For each type, we first establish a mathematical model for the optimization problem. Then, the model is solved by an iterative procedure based on two dynamic programming (DP) algorithms. One DP algorithm is used to solve the order size decision subproblem and the other is used to solve the reorder point decision subproblem of the model. Numerical experiments demonstrate the efficiency of the algorithms and the procedure ; Face à une concurrence féroce par suite de la modélisation économique, les entreprises doivent bien gérer leurs chaînes logistiques afin de réduire leurs coûts d'exploitation tout en améliorant leurs services au client. Un enjeu majeur de cette gestion et la gestion efficace des stocks multi-échelons. Dans cette thèse, nous étudions des systèmes de stocks multi-échelons avec des coûts de passation de commande à chaque stock. En raison de l'existence des coûts de ...

Tätigkeitsbericht