Research on the Compound Model Mathematical Principle of Forest-Pulp Enterprise Production Logistics Balance

With growing evidence of the operational performance of cyber-physical manufacturing systems, there is a pivotal need for comprehending sustainable, smart, and sensing technologies underpinning data-driven decision-making processes. In this research, previous findings were cumulated showing that cyber-physical production networks operate automatically and smoothly with artificial intelligence-based decision-making algorithms in a sustainable manner and contribute to the literature by indicating that sustainable Internet of Things-based manufacturing systems function in an automated, robust, and flexible manner. Throughout October 2020 and April 2021, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was performed, with search terms including “Internet of Things-based real-time production logistics”, “sustainable smart manufacturing”, “cyber-physical production system”, “industrial big data”, “sustainable organizational performance”, “cyber-physical smart manufacturing system”, and “sustainable Internet of Things-based manufacturing system”. As research published between 2018 and 2021 was inspected, and only 426 articles satisfied the eligibility criteria. By taking out controversial or ambiguous findings (insufficient/irrelevant data), outcomes unsubstantiated by replication, too general material, or studies with nearly identical titles, we selected 174 mainly empirical sources. Further developments should entail how cyber-physical production networks and Internet of Things-based real-time production logistics, by use of cognitive decision-making algorithms, enable the advancement of data-driven sustainable smart manufacturing.

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Solution of Bottlenecks in the Logistics Flow by Applying the Kanban Module in the Tecnomatix Plant Simulation Software

Sustainability ◽

10.3390/su13147989 ◽

2021 ◽

Vol 13 (14) ◽

pp. 7989

Author(s):

Miriam Pekarcikova ◽

Peter Trebuna ◽

Marek Kliment ◽

Michal Dic

Keyword(s):

Lean Manufacturing ◽

Business Processes ◽

Software Tool ◽

Transportation Systems ◽

Simulation Software ◽

Simulation Methods ◽

Software Environment ◽

Production Logistics ◽

Pull System ◽

Plant Simulation

The presented article deals with the issue of solving bottlenecks in the logistics flow of a manufacturing company. The Tx Plant Simulation software tool is used to detect bottlenecks and deficiencies in the company’s production, logistics and transportation systems. Together with the use of simulation methods and lean manufacturing tools, losses in business processes are eliminated and consequently flow throughput is improved. In the TX Plant Simulation software environment, using Bottleneck analyzer, bottlenecks were defined on the created simulation model and a method of optimizing logistics flows was designed and tested by introducing the Kanban pull system. This resulted in an improvement and throughput of the entire logistics flow, a reduction in inter-operational stocks and an increase in the efficiency of the production system as a whole.

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A Mathematical Principle and Application on Design of Planar Six-Bar Mechanism with unto Three-Ordered Intermission at Limit Position(s)

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.37-38.9 ◽

2010 ◽

Vol 37-38 ◽

pp. 9-13

Author(s):

Hong Xin Wang ◽

Ning Dai

Keyword(s):

Design Method ◽

Optimization Method ◽

Basic Function ◽

Mathematical Principle ◽

Transmission Characteristics ◽

Basic Functions ◽

Combined Mechanism ◽

Limit Position ◽

Derivatives Of ◽

Better Than

A non-iterative design method about high order intermittent mechanisms is presented. The mathematical principle is that a compound function produced by two basic functions, and then one to three order derivatives of the compound function are all zeroes when one order derivative of each basic function is zero at the same moment. The design method is that a combined mechanism is constructed by six bars; the displacement functions of the front four-bar and back four-bar mechanisms are separately built, let one order derivatives of two displacement functions separately be zero at the same moment, and then get geometrical relationships and solution on the intermittent mechanism. A design example shows that this method is simpler and transmission characteristics are better than optimization method.

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A RFID-Based Monitoring System for Abnormal Logistics Events in Internal Material Supply Chain

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.179-180.949 ◽

2011 ◽

Vol 179-180 ◽

pp. 949-954 ◽

Cited By ~ 3

Author(s):

Xiao Hua Cao ◽

Juan Wan

Keyword(s):

Supply Chain ◽

Monitoring System ◽

Radio Frequency Identification ◽

Accurate Information ◽

Prototype System ◽

Rfid Technology ◽

Material Management ◽

Production Logistics ◽

Material Supply ◽

Frequency Identification

Internal material supply management for manufacturing workshops usually suffers from message delay and abnormal logistics events, which seriously holdback the reactivity capability of production system. As a rapid, real-time, accurate information collection tools, Radio Frequency identification (RFID) technology has become an important driver in the production and logistics activities. This paper presents a new idea that uses RFID technology to monitor real-timely the abnormal logistics events which occur at each work space in the internal material supply chain and proposes its construction method in details. With the experimental verification of prototype system, the proposed RFID-based monitoring system can find in time the abnormal logistics events of internal material supply chain and largely improve the circulation velocity of production logistics, and reduce the rate of mistake which frequently occurred in traditional material management based on Kanban.

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