Structural-attributive models and algorithms for the functioning of shop production and logistics complexes. Transportation subsystem

2021 ◽  
pp. 77-81
Author(s):  
Keyword(s):  
Production Logistics ◽  
Model Classification ◽  
Logistics Systems ◽  
Classification Structure ◽  
Means Of Production

A formalized generalization of functional structures and attributive models of executive means of production logistics systems is considered, in particular, the transportation subsystem — one of the key components of the "Shop logistic system" entity. Keywords: production logistics, shop logistic system, transportation subsystem, attributive model, classification structure. [email protected]

Prospects for Using Digital Technologies in Production Logistics

2021 ◽  
Vol 27 (9) ◽  
pp. 725-733
Author(s):  
A. A. Volkova ◽  
V. A. Plotnikov ◽  
Yu. A. Nikitin ◽  
N. I. Vasil’ev
Keyword(s):  
Business Processes ◽  
New Technologies ◽  
Systems Approach ◽  
Digital Technologies ◽  
Careful Consideration ◽  
Efficient Operation ◽  
Production Logistics ◽  
Logistics Systems ◽  
Life Cycle Theory ◽  
Additional Value

Aim. The presented study aims to examine the specific features as well as organizational and technical aspects of production logistics, taking into account its potential for using digital technologies.Tasks. The authors consider the essence, purpose, and goals of production logistics; analyze major logistics systems used in production logistics; assess the prospects for using digital technologies in this sphere.Methods. This study uses the methodology of strategic and logistics management, the systems approach, life cycle theory, general scientific methods of generalization, comparative, retrospective, and structural-functional analysis.Results. The production and logistics systems of a company are considered as equivalent elements in the context of managing material flows in internal and external supply chains and achieving the company’s operational and development goals. In this regard, production logistics is shown as part of both logistics and production, which affects its organization and architecture. Under modern conditions, an approach based on certain data is widely used in production logistics. It requires active introduction of digital technologies in production logistics, the purpose of which is not to achieve technical or organizational perfection of business processes, but to select technologies from the perspective of creating additional value.Conclusions. In the course of the study, three categories of activities associated with production logistics are identified. For each of these categories, the prospects and recommended classification of digital technologies are defined. Particular emphasis is placed on improving the quality and efficiency of data use. According to the authors, all information systems and digital technologies used in production logistics should be highly reliable. Thus, introduction of any new technologies in production logistics requires careful consideration. Regardless of the type of technology, a systems approach to the organization and development of production logistics is a prerequisite for the efficient operation of the company as a whole.

scholarly journals APPLICATION POSSIBILITIES OF DYNAMIC VALUE STREAM MAPPING IN PRODUCTION LOGISTICS

2021 ◽  
Vol 24 (1) ◽  
pp. 55-58
Author(s):  
Peter Tamas ◽  
Keyword(s):  
Production Systems ◽  
Product Family ◽  
Mapping Method ◽  
Value Stream Mapping ◽  
Production Logistics ◽  
Logistics Systems ◽  
Value Stream ◽  
Flexible Production Systems ◽  
Static Version ◽  
Plant Simulation

An increase in the number of product types required by customers results in an increase in the complexity of logistics systems. This finding is particularly characteristic of production logistics systems, where the use of flexible production systems is becoming increasingly important. One of the defining tools for the development of these processes is the value process mapping method, a static version of which suitable for the simultaneous examination of a product family has become widespread in corporate practice. The paper presents the method of dynamic value stream mapping, which is also suitable for the examination of complex logistics systems, exploring its steps and the possibilities of its application in production logistics. An example prepared using the VSM module of the Plant Simulation framework is also presented to illustrate the application of the method.

scholarly journals A Framework for Smart Production-Logistics Systems Based on CPS and Industrial IoT

2018 ◽  
Vol 14 (9) ◽  
pp. 4019-4032 ◽  
Author(s):  
Yingfeng Zhang ◽  
Zhengang Guo ◽  
Jingxiang Lv ◽  
Ying Liu
Keyword(s):  
Production Logistics ◽  
Logistics Systems ◽  
Industrial Iot

scholarly journals State of the Art and Future Directions of Digital Twins for Production Logistics: A Systematic Literature Review

2022 ◽  
Vol 12 (2) ◽  
pp. 669
Author(s):  
Alexander Kaiblinger ◽  
Manuel Woschank
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
State Of The Art ◽  
Future Research ◽  
Production Logistics ◽  
Manufacturing Enterprises ◽  
Scientific Discussion ◽  
Logistics Systems ◽  
Digital Twins ◽  
Research Initiatives

Digital Twins (DTs) are widely discussed in the context of the Industry 4.0 paradigm as one of the main opportunities to strengthen the overall competitiveness of manufacturing enterprises. Despite a substantial scientific discussion, there is still no unified understanding regarding the constitution and subsequent usage of DTs within production logistics systems. Therefore, this paper focuses on the application of DTs in production logistics. The authors discuss common definitions, characteristics, and functionalities of DTs and outline current developments and implications from state-of-the-art implementation approaches, by using a systematic literature review. Moreover, based on the research findings, the authors evaluate a set of DT case studies, identify current research gaps, and present potential directions for future research initiatives regarding the field of production logistics in manufacturing enterprises.

Improvement of Automated Control Systems for Production and Production Logistics Development

Upravlenie ◽  
2015 ◽  
Vol 3 (2) ◽  
pp. 22-26
Author(s):  
Волочиенко ◽  
Vladimir Volochienko
Keyword(s):  
Control Systems ◽  
Production Management ◽  
Practical Importance ◽  
Scientific School ◽  
Complex Object ◽  
State University ◽  
Automated Control ◽  
Production Logistics ◽  
Logistics Systems ◽  
Situational Management

This paper has been devoted to a retrospective review of production logistics formation in the frames of “Logistics” Scientific School at The State University of Management. The author’s contribution to the resolution of production management automation problems in the real time has been described. This contribution enables to implement scientific and methodological preliminary work on situational management for production logistics systems based on application of recognition methods and systems. Scientific novelty of the author’s contribution in the SUM‘s Logistics Scientific School, consisting of development related to the theory and tools for operational planning and management of engineering production based on application of recognition methods and market influences accounting, has been represented. The practical importance of situational management of production logistics systems has been revealed. Perspective directions for application of recognition methods and systems in conditions of such active complex object as a machinebuilding enterprise and logistics systems have been showed.

scholarly journals Design and Implementation of Universal Cyber-Physical Model for Testing Logistic Control Algorithms of Production Line’s Digital Twin by Using Color Sensor

Sensors ◽  
2021 ◽  
Vol 21 (5) ◽  
pp. 1842
Author(s):  
Ján Vachálek ◽  
Dana Šišmišová ◽  
Pavol Vašek ◽  
Ivan Fiťka ◽  
Juraj Slovák ◽  
...  
Keyword(s):  
Physical Model ◽  
Production Line ◽  
Robotic Assembly ◽  
Manufacturing Companies ◽  
Production Logistics ◽  
Testing And Debugging ◽  
Digital Twin ◽  
Logistics Systems ◽  
Design And Implementation

This paper deals with the design and implementation of a universal cyber-physical model capable of simulating any production process in order to optimize its logistics systems. The basic idea is the direct possibility of testing and debugging advanced logistics algorithms using a digital twin outside the production line. Since the digital twin requires a physical connection to a real line for its operation, this connection is substituted by a modular cyber-physical system (CPS), which replicates the same physical inputs and outputs as a real production line. Especially in fully functional production facilities, there is a trend towards optimizing logistics systems in order to increase efficiency and reduce idle time. Virtualization techniques in the form of a digital twin are standardly used for this purpose. The possibility of an initial test of the physical implementation of proposed optimization changes before they are fully implemented into operation is a pragmatic question that still resonates on the production side. Such concerns are justified because the proposed changes in the optimization of production logistics based on simulations from a digital twin tend to be initially costly and affect the existing functional production infrastructure. Therefore, we created a universal CPS based on requirements from our cooperating manufacturing companies. The model fully physically reproduces the real conditions of simulated production and verifies in advance the quality of proposed optimization changes virtually by the digital twin. Optimization costs are also significantly reduced, as it is not necessary to verify the optimization impact directly in production, but only in the physical model. To demonstrate the versatility of deployment, we chose a configuration simulating a robotic assembly workplace and its logistics.

CPS-Based Self-Adaptive Collaborative Control for Smart Production-Logistics Systems

2021 ◽  
Vol 51 (1) ◽  
pp. 188-198 ◽  
Author(s):  
Zhengang Guo ◽  
Yingfeng Zhang ◽  
Xibin Zhao ◽  
Xiaoyu Song
Keyword(s):  
Production Logistics ◽  
Logistics Systems ◽  
Collaborative Control ◽  
Self Adaptive
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