Facilities Loction Study For Supply Chain System

The competition among supply chains substitutes for the competition among corporations under the surroundings of global economy, increasingly intense competition of marketing and decreasing response time from customers sending out demand to meeting their demand. The network framework of supply chain system that consist of facilities is playing an import work for the supply chain operation such as clipping response coming from customs'demand, improving service, decreasing cost, upgrading work efficiency, and smoothing manipulate in the integrated supply chain. Thus an excellent design of supply chain network is basic guarantee for the scientific and economic operation of the supply chain system.In this paper, several supply chains facilities location models and efficient algorithms for solving these models are developed by the facilities'characteristic and function at the special sites in the supply chain, which large numbers of existing location articles are studied and some out of line for supply chain facilities location are analyzed before writing this paper. Supply chain management theory, optimization and decision-making science are basic tools for these researches. Firstly, the limitation of decided capacity for production and logistics facilities in location research is analyzed and then the problems of facilities locations and capacity decision-marking are studied for supply chain system for certain and uncertain surroundings. Two mixed-integer programming models which the capacities are also decision-making variable are built for certain and uncertain surroundings, Benders decomposed algorithms are developed, and a set of examples are solved for testing these algorithms. Secondly, the dynamically changing trait of supply chain systems for the effect of terminal facilities is analyzed. There are considerable difference about demand and running cost at different stages so multistage competitive facilities locations problem in supply chain terminal is researched. A criterion system for facilities'attraction is designed, a measure for facilities attraction is proposed, and an extended utility function is developed. Based on these studies, a multistage competitive facilities locations model is developed, an effective scatter search heuristic algorithm is devised according to the model property, and also compares the results of scatter search heuristic algorithm solving examples for Lingo solving to same examples so that can show the solving speed and convergence for the provided algorithm. Thirdly, detailed study the time function in the competitive supply chains. The problems of logistics facilities locations and integrated logistics and plants facilities locations based on time restriction for multilayer supply chain system are studied. Two mixed-integer programming models with time restriction are proposed. These researches take into account integrating supply chain system resource, closing logistics facilities cost, transform the model to no time restriction by introducing parameters so that reducing the complicacy of solving models and examples give costs and each cost proportion in the total cost for different time restriction. Fourthly, with extended producer responsibility implementing, supply chain system not only want to produce, store, transport, allot products to customers, but also want to take back used products from customers. The problem for single plant taking-back is analyzed. According to consortium of manufactures takeback used products together; the disposal sites locations and flows distribution problem for used productions are researched. Two models which have multiple initial collection sites, multi-manufacturer, multi-used-product and multi-disposal-site are developed for only involving upper bound of disposing capacity as well as involving lowest and the utmost disposing capacity for each disposal facility at every disposal site. Due to the complexity of models, the heuristic algorithms based on Lagrangean relaxation for these problems are elaborated.The developed models and algorithms in the dissertation succeed and improve the existing researches about facilities location so that these results can be put into facilities locations practice in supply chain system. These works support optimization of facilities locations and relocations in supply chain system and can urge the equilibriums between customers'demand distributing and facilities sites, improve the answer for customers demand, decrease logistics cost and strengthen competition for total corporations in the supply chain system.