Coordinated Procedure Of Transportation-Inventory In The Presence Of Uncertain Information

As the most importation links of logistics system in the real world, there is often a tradeoff relationship between transportation and inventory. Transportation and inventory not only create the space value and the time value respectively, they also incur a substantial amount of cost of the entire system. The significant system cost saving can be realized if the transportation policy and inventory policy was integrated, the profit and the competitiveness of enterprises can also be improved and enhanced.At present, the optimization of transportation-inventory problem in uncertain environment has drawn remarkable interest, and most papers focused on using the probability theory to deal with the uncertainty, and most of them focused on finding joint optimal transportation policy and inventory policy that minimize the total cost of the logistics system. Based on the fact that the essence of the optimization of transportation-inventory problem is to coordinate transportation policy and inventory policy according to different optimization criteria, this paper studies the coordination of transportation-inventory problem in uncertain environment. Several models that the theory of manage uncertain information and the theory of global optimization are applied in it are established, and the coordination mechanisms based on different optimization criteria are advanced. The main contents of the paper include:For the coordinated control of production, transportation and inventory with lead time and customer demand are both random variables, from the point of optimizing system costs, the coordinated optimal of transportation-inventory model under direct shipping policy is established, and the effect of limited capacity of a single vehicle on system costs is involved explicitly. Based on relationship of limited capacity of a single vehicle, the required number of vehicles and the optimal shipment lot size, we develop the search procedure for solving the integrated model. In the end, the numerical examples are presented to show that savings can be realized when the capacity of a single vehicle is considered explicitly in the model.For the system coordination of transportation-inventory problem in the presence of uncertainty in customer demand, inventory cost, and lead time, the optimization cost model of transportation-inventory system is established, and transportation cost in the model is taken as a step function of shipment lot size. Based on the fact that the model’s optimal solution that can minimize system cost is not always viable in the real world, a coordination mechanism that can embody the purpose of decision-makers and improve the feasibility of model is advanced. In the end, the numerical examples are applied to show the effectiveness of the coordination mechanism:not only can the experience judgment of decision-makers be embodied, but the system cost obtained by the coordination mechanism is smaller than the cost under optimal transportation policy and optimal inventory policy.Lattice implication algebra is a logic algebra that has been widely used for dealing with uncertainty information. Starting from the practical problems, the common linguistic values are selected, and the concrete lattice implication algebra on the finite chain is established. Then some arithmetic operations and the corresponding rules through the definitions of binary operations on the lattice implication algebra are given, so that, uncertainty information can be made directly computing. Further, the established lattice implication algebra can be applied in transportation-inventory problem with uncertainty information and the corresponding transportation-inventory model can be also established. In order to solve the optimal problem, the economic order quantities were obtained by using the operation rules above.For the coordination control problem of production, transportation and inventory in the presence of fuzzy random demand, fuzzy transportation time and fuzzy inventory costs, a coordinated optimal of transportation-inventory model under the control policy of shipping point is established. The possibilistic mean value concept and function principle of fuzzy number are used here to solve the problem. In the end, a numerical example is applied to illustrate the proposed model.Finally, the research works and results of this dissertation are summed up and some innovations are brought forward.