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SAP MM 中级之事务代码MICN的相关逻辑

2.1), In principle, the program calculates the planned date of physical inventory according to the following formula: planned date = base date + Interval (Trans.OMCO/Tab.XT159C-ININV) Usually, the base date is the 'date of the last physical inventory'. Depending on the type of the stock or the batch management requirement, this date is read from one of the following table fields: MARD-DLINL (Normal materials) MCHB-CHDLL (Batch materials, separately valuated materials) If no physical inventory has been carried out yet and if this date field is therefore empty, the system uses the creation date of the material as basis date. The basis date then comes from one of the following table fields: MSTA-ERSDA (Normal materials) MCHB-ERSDA (Batch materials, separately valuated materials) Since the cycle counting physical inventory always runs for the current fiscal year, the earliest possible physical inventory date is the 01.01. and the latest possible physical inventory date is the 31.12 of the current year.

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无人机应用参考文献_无人机应用论文3000字

Abstract:Energy consumption has become a crucial problem in the design of vehicle routing problems, hence the need to use another delivery method powered by batteries. Unmanned aerial vehicles have become fundamental tools in tasks for which man has limited skills that prevent a superlative optimization of time. The increasing use of drones by commercial companies such as Amazon, Google, and DHL has given birth to a new variant of vehicle routing problem (VRP) called VRP with drones (VRPD) which has a positive influence on the environment. Where vehicles and drones are used to deliver packages or goods to customers. In VRPD, vehicles and drones make dependent or independent deliveries. In the case of a dependent delivery, at a given point (customer or depot) the drone takes off from a vehicle to serve a customer and then return to travel with the same vehicle, as long as the capacity and endurance constraints for a drone are satisfied. In the other case, each type of vehicle travels independently to others. A MILP model is presented to describe the problem, and then we confirm the formulation via a CPLEX software with small instances. We propose a hybrid genetic algorithm to solve the VRPD. Experiments are carried out on the instances taken from the literature in different settings. The results show the performance of the proposed algorithm to solve this variant.

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