Logistics facility planning system based on SLP theory and equipment thereof

Abstract

The invention relates to the technical field of logistics planning, in particular to an SLP theory-based logistics facility planning system and equipment thereof. Comprising a data entry unit, a processor and a scheme output unit, according to the method, the SLP is improved by researching the SLP and establishing a dual-objective function, the function is solved by adopting the genetic algorithm, and by utilizing the approximate optimal solution solving capability of the genetic algorithm, a dual-objective method is established by taking the mutual relation between the minimum carrying cost and the maximum operation unit as a constraint to meet the condition that the operation units do not cross boundaries and are not overlapped. And a penalty function is added to correct the target to seek an approximate optimal solution, so that the time required by scheme arrangement can be greatly shortened, the problems of tedious arrangement, large influence of subjective factors on the scheme and the like caused by manual arrangement in the design scheme are solved, and the requirement of reducing the cost is met.

Description

technical field [0001] The invention relates to the technical field of logistics planning, in particular to a logistics facility planning system and equipment based on the SLP theory. Background technique [0002] Under the influence of the liberalization of world trade and the diversification of customer needs, the living environment of the manufacturing industry is deteriorating. With the development of industrial engineering knowledge, enterprises have found in the study of improving competitiveness that the development of the logistics field is good for enterprises. The impact of economics is also important, alongside technological innovation and resource diversion. Through the research on most manufacturing companies, a large amount of data shows that in the product manufacturing cycle, only 10% of the time can create value for the company, and the rest of the time is wasted in waiting or handling. The low utilization rate of time leads to the weak competitiveness of e...

AI Technical Summary

Problems solved by technology

Through the research on most manufacturing companies, a large amount of data shows that in the product manufacturing cycle, only 10% of the time can create value for the company, and the rest of the time is wasted in waiting or handling.

The low utilization rate of time leads to weak competitiveness of enterprises and seriously restricts the development of enterprises

At the same time, in most enterprises, the proportion of logistics handling cost in the operating expenses of the enterprise is as high as 20%, and the logistics handling cost of some enterprises accounts for half of the operating expenses of the enterprise.

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