<abstract xmlns="http://www.w3.org/1999/xhtml"><p> In this paper, transformer logistics networks are treated as flow models of discrete manufacturing systems (FMDMS). The purpose is to formalize FMDMS into logical formulas called transformer functions. Transformer logistics networks are able to handle buffers and their production orders in a way that ensures full monitoring of the logic technology stored in the memory of a transforming network (t-network). The structural and functional complexity of the t-network makes it impossible to carry out formal proof of its proper functioning for any new order placement in buffers and transformers. This is because with the growing capacity in buffers, the number of available states of tnetworks also increases, and as such, the number of transformers and buffers unable to effectively generate new production orders that protect the t-network is also increasing. The problem therefore becomes to maintain t-network equilibrium technology that guarantees the continuity of the logical operations and processes of resource transformation.</p></abstract>

In this paper, transformer logistics networks are treated as flow models of discrete manufacturing systems (FMDMS). The purpose is to formalize FMDMS into logical formulas called transformer functions. Transformer logistics networks are able to handle buffers and their production orders in a way that ensures full monitoring of the logic technology stored in the memory of a transforming network (t-network). The structural and functional complexity of the t-network makes it impossible to carry out formal proof of its proper functioning for any new order placement in buffers and transformers. This is because with the growing capacity in buffers, the number of available states of tnetworks also increases, and as such, the number of transformers and buffers unable to effectively generate new production orders that protect the t-network is also increasing. The problem therefore becomes to maintain t-network equilibrium technology that guarantees the continuity of the logical operations and processes of resource transformation.

Elements of Theory of the Correct Operations of Logistics Transforming Networks

Foundations of Management

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"Elements of Theory of the Correct Operations of Logistics Transforming Networks"}

In this paper, transformer logistics networks are treated as flow models of discrete manufacturing systems (FMDMS). The purpose is to formalize FMDMS into...

Elements of Theory of the Correct Operations of Logistics Transforming Networks

Published Online: Dec 22, 2017

Page range: 347 - 360

DOI: https://doi.org/10.1515/fman-2017-0026

Keywords
buffer, logic algebra functions, product, alternative concentric and scattering transformers, parallel concentric and scattering transformers, technological process, technological equilibrium, resource, production order

© Faculty of Management, Warsaw University of Technology

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Elements of Theory of the Correct Operations of Logistics Transforming Networks

Published Online: Dec 22, 2017

Page range: 347 - 360

DOI: https://doi.org/10.1515/fman-2017-0026

Keywordsbuffer, logic algebra functions, product, alternative concentric and scattering transformers, parallel concentric and scattering transformers, technological process, technological equilibrium, resource, production order

© Faculty of Management, Warsaw University of Technology

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Keywords
buffer, logic algebra functions, product, alternative concentric and scattering transformers, parallel concentric and scattering transformers, technological process, technological equilibrium, resource, production order