5.2 Early Stage
The material demand plan is a demand-oriented reverse plan based on the delivery date or completion date to calculate the start date of the work or the order release date; the time span in this period is called the "lead time",
Page substitution occurs because of paged-request storage management, which is one of the ways to implement virtual storage management, where one feature is multiple--and multiple times the page is swapped in or out of memory.Best-performing page replacement algorithm: the best permutation algorithmThe more commonly used page substitution algorithms are: FIFO permutation algorithm, LRU permutation
3.3.1 background of ERP
Another headache for enterprises is that they cannot grasp customer needs accurately and in real time, and cannot grasp supply changes in real time. Therefore, they often encounter many "unexpected" problems, there are too
5.1.2Time period
MRPThe system calls different time spans such as year, season, month, week, day, hour, and minute as time periods.
The purpose of Time Division is to differentiate the "Priority" and implement a priority plan. Traditional manual
5.1.4 time zone and order status
In different time zones, the order status is different, and the processing method is also different. Order3Status.
1,Scheduled order
In3Time zone. Orders for various requirements are based on the
SelectMSI.SEGMENT1 encoding, Msi.description describes, Number of mr.old_order_quantity, Mr.old_schedule_date order Demand Date, Mipo.po_number order number, Mipo.purch_line_num Order Bar, pv.vendor_name Suppliers, Ppf.last_name BuyerFromMrp.
Genetic Algorithm (GA), as a classical evolutionary algorithm, has formed a more active research field in the world since Holland was put forward. A lot of researches on GA are presented, and various improved algorithms are proposed to improve the convergence speed and accuracy of the algorithm. Genetic algorithm
SelectMSI.SEGMENT1 encoding, Msi.description describes, Number of mr.old_order_quantity, Mipo.po_number please purchase order, Mipo.purch_line_num Order Bar, pv.vendor_name Suppliers, Ppf.last_name BuyerFromMrp. Mrp_item_exceptions Mie,
ArticleDirectory
1. Obtain the low-order material code.
2. One of the differences between material demand calculation ERP and MIS is the calculation of material requirements. I used to design a system, such as MIS or inventory calculation, which is not called Erp.
3. Master Production Plan
5. Order Policy
6 ABC inventory control method calculate the ABC Classification of materials. The calculation method is as follows:
7-step mobile computing method
8 reconciliation ac
Introduction of Ant colony algorithm, genetic algorithm and simulated annealing algorithm
Exhaustive method
Enumerate all the possibilities and go on to get the best results. As figure one, you need to go straight from point A to point G to know that F is the highest (best solution). The optimal solution obtained by this alg
The string matching algorithm is mainly two kinds, the most basic brute force solution, also is called the naïve algorithm, the other is the KMP algorithm. This article gives the simplest method of two algorithms, easy to remember and write in the interview, of course, the emphasis is still to understand the algorithm
The essence of the "algorithm path" is the classic algorithm, and the "algorithm path" AlgorithmThe essence of "algorithm path" in the classic algorithm Section
This book is written by Yan hengming, the author has another book, "The string of data structures", and "the phi
First, the problem description0-1 knapsack problem, part knapsack problem. The DP algorithm of 0-1 knapsack, the greedy algorithm of partial knapsack and DP algorithm are implemented respectively.Second, the principle of the algorithm(1) 0-1-pack DP algorithm0-1 knapsack problem: There are n items and a backpack with a
We often encounter the shortest path problem, and the shortest path problem solutions are diverse, breadth-first search (BFS), Depth-first search (DFS) and Dijkstra algorithm seems to solve the problem, here is a brief introduction to these algorithms, analysis of their scope of application.
First, the principle analysis:1 Breadth First search (BFS)Breadth-First search relies on queues to solve problems. Each node in the queue needs to contain a recor
I. OverviewNearest Neighbor Rule classification (k-nearest Neighbor) KNN algorithmThe initial proximity algorithm was proposed by cover and Hart in 1968,This is a classification (classification) algorithmInput instance-based learning (instance-based learning), lazy learning (lazy learning)Second, the principle in a sample data set, also known as the training sample set, and each data in the sample set has a label, that is, we know the corresponding r
The Kruskal algorithm (Kruskal's algorithm) is one of the simpler understandings of the two classical minimum spanning tree algorithms. This fully embodies the essence of the greedy algorithm. The approximate process can be represented by a graph. The choice of the map here borrows from Wikipedia. Very clear and intuitive.First step, we have a graph with several
This is a creation in
Article, where the information may have evolved or changed.
Common internal sorting algorithms are: Insert sort, hill sort, select sort, bubble sort, merge sort, quick sort, heap sort, cardinality sort, etc. Summarize with a picture:
Merge sort (English: merge sort, or mergesort) is an efficient sorting algorithm that creates an O (n log n) on a merge operation. It was first presented by John von Neumann in 1945. The
Data Structure and algorithm simulation algorithm C ++ implementation, data structure and algorithm AlgorithmSimulation Algorithm: simulates the entire process. By changing the parameters of the model in mathematics, you can observe the changes in the process state caused by these parameters.Algorithm concept: use rand
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