Local search of orthogonal packings using the lower bounds

Improving the economic efficiency of industrial enterprises and ensuring their sustainable development depend, in particular, on the using of material resources management tools (MR) based on the principles of lean production using information technology. At the same time, the research of internal supply chains at enterprise allows identifying the main participants in the process, the material and information flows between them, determining the necessary change in the supply chain during the development of allocation innovations taking into account trends of digital economy. At the engineering enterprises, the managers face the task of increasing a sheet metal utilization rate in order to reduce unit technological costs, optimize the cost structure and increase net income. The relevance of this issue is confirmed by the theoretical and practical works of researchers in the field of cutting and packaging tasks, as well as in terms of the environmental problems which are because of increasing production and consumption waste. The purpose of the research is to develop tools of material resources management in lean production for sheet metal cutting at engineering enterprises with single or serial types of production. The tools are also based on the using of information technologies in economic system of an enterprise. At the previous stages of the research a situational analysis of sheet metal cutting and sheet metal material resources management at engineering enterprises was conducted, the main provisions of the sorting method of sheet metal MR after cutting were defined, approbation of certain aspects of the method was carried out using sheet metal cutting cards. The aspects related to micro logistical processes at an enterprise are specified in this article. Further research tasks are also identified.

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Section: Methodsmentioning

confidence: 99%

Sheet metal material resources management in internal supply chains of engineering enterprise

Smirnov¹,

Kobzev²,

Skvortsov³

2019

Proceedings of the International Conference on Digital Technologies in Logistics and Infrastructure (ICDTLI 2019)

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“…Thus, domestic and foreign researchers developed mathematical methods and approaches to organizing the rational cutting of industrial materials from the point of view of optimal location of blanks on a given material resource and optimal choice of a material resource for producing blanks from it. [8][9][10][11][12][13][14] The empirical base of the work consists of production processes at engineering enterprises, analytical materials presented in the studied literature. A situational analysis of the sheet metal cutting process and sheet metal material resources management at the Vologda engineering enterprises made it possible to identify the bottlenecks of this process: the sheet metal utilization rate is about 0,8; there is scattered design of sheet metal cutting maps; sheet metal cutting is based on the technologist's empirical perception; there is a lack of set of reasonable actions to sort sheet metal after cutting into business and non-business groups; there is a lack of marking of the business sheet metal material resources after cutting, which complicates their accounting and classification.…”

Section: Methodsmentioning

confidence: 99%

Sheet metal material resources management in lean production

2019

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Industrial enterprises are responsible for increasing production waste. The purpose of the research is to develop tools of material resources management in lean production for sheet metal cutting at engineering enterprises with single or serial types of production. At the previous stages of the research, a situational analysis of the cutting process was conducted, a literature review was carried out, and the main provisions of the sorting method of sheet metal material resources after cutting were defined for dividing them into groups of business or non-business material resources. The main provisions of the proposed method are specified in this article. Further research tasks are also identified.

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