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- W2073853414 abstract "Since the production is aimed at fulfilling specific needs of demanding customers and not at filling warehouses, the production volume should reflect the volume of orders. In times of fight for the client every order has to be performed on time. What is more, in times of fight for shortening the delivery cycle, meeting safe deadlines, that is distant in time, is not enough. Companies are forced to meet short deadlines with keeping the product price competitiveness condition. It is hardly possible without a proper, APS (Advanced Planning System) class, advanced planning support system. Currently, advanced planning systems are coming into use, however their cost exceeds the possibilities of small and medium enterprises and algorithms used often require great customization to industries' needs and conditions of unit and small-batch production. The paper has been drawn on the basis of research on overloads of moving bottlenecks in conditions of unit and small batch production in real conditions having a big number of resources and tasks. The methods used so far are not capable of finding the global optimum of such big data ranges. The author took on building a heuristic algorithm which could find solution good enough and based on TOC (Theory of Constraints) assumptions and verification of assumptions using tests in real production systems." @default.
- W2073853414 created "2016-06-24" @default.
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- W2073853414 date "2008-01-01" @default.
- W2073853414 modified "2023-09-24" @default.
- W2073853414 title "Specificity of Bottlenecks in Conditions of Unit and Small-Batch Production" @default.
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- W2073853414 doi "https://doi.org/10.3182/20081205-2-cl-4009.00007" @default.
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