Material distribution method in discrete manufacturing systems and a case study from engine builders

2020 ◽  
Vol 234 (14) ◽  
pp. 1720-1728
Author(s):  
Li Li ◽  
Yujin Chen ◽  
Debin Lai ◽  
Bo Li ◽  
Xiangqing Wei
Keyword(s):  
Manufacturing Systems ◽  
Manufacturing System ◽  
Assembly Line ◽  
System Modeling ◽  
Active Material ◽  
Configuration Model ◽  
Material Distribution ◽  
Distribution Method ◽  
Research Perspective ◽  
Discrete Manufacturing

In a discrete manufacturing enterprise, it is difficult to satisfy the fast matching and accurate supply of production materials or the demand of modern dynamic production systems using passive material supply. With a focus on engine builders, this study explores the active material configuration and systematic material distribution approaches. Due to the material characteristics and the granularity of logistics demand, the material distribution is arranged in reverse chronological order, and the corresponding mathematical modeling of the distributing period is proposed to achieve lean manufacturing. To ensure exact material distribution time, the allocation material configuration model that works best for the dynamic manufacturing system is presented by means of system modeling. Next, a production material distribution method for the general assembly line and the sub-assembly line with a closely related production sequence is proposed to achieve the exact match of manufacturing and material resources through the analysis of data fusion and logistics resource matching. Finally, a simulation is conducted using production data gathered from engine builders. The results indicate the effectiveness of the proposed active material configuration method. The outcome of this study can be used as a guide for the time planning of material flow in a dynamic manufacturing system and can provide a new research perspective on production logistics or distribution in a production line.

scholarly journals Manufacturing systematics and cladistics: state of the art and generic classification

2017 ◽  
Vol 28 (5) ◽  
pp. 655-685 ◽  
Author(s):  
Christen Rose-Anderssen ◽  
James Baldwin ◽  
Keith Ridgway
Keyword(s):  
Expert System ◽  
Observational Data ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
State Of The Art ◽  
Theory Building ◽  
Theory Testing ◽  
Web Based ◽  
Content Type ◽  
Discrete Manufacturing

Purpose The purpose of this paper is to critically evaluate the state of the art of applications of organisational systematics and manufacturing cladistics in terms of strengths and weaknesses and introduce new generic cladistic and hierarchical classifications of discrete manufacturing systems. These classifications are the basis for a practical web-based expert system and diagnostic benchmarking tool. Design/methodology/approach There were two stages for the research methods, with eight re-iterative steps: one for theory building, using secondary and observational data, producing conceptual classifications; the second stage for theory testing and theory development, using quantitative data from 153 companies and 510 manufacturing systems, producing the final factual cladogram. Evolutionary relationships between 53 candidate manufacturing systems, using 13 characters with 84 states, are hypothesised and presented diagrammatically. The manufacturing systems are also organised in a hierarchical classification with 13 genera, 6 families and 3 orders under one class of discrete manufacturing. Findings This work addressed several weaknesses of current manufacturing cladistic classifications which include the lack of an explicit out-group comparison, limited conceptual cladogram development, limited use of characters and that previous classifications are specific to sectors. In order to correct these limitations, the paper first expands on previous work by producing a more generic manufacturing system classification. Second, it describes a novel web-based expert system for the practical application of the discrete manufacturing system. Practical implications The classifications form the basis for a practical web-based expert system and diagnostic benchmarking tool, but also have a novel use in an educational context as it simplifies and relationally organises extant manufacturing system knowledge. Originality/value The research employed a novel re-iterative methodology for both theory building, using observational data, producing the conceptual classification, and through theory testing developing the final factual cladogram that forms the basis for the practical web-based expert system and diagnostic tool.

Hybrid Manufacturing System Modeling and Development

2012 ◽  
Author(s):  
Jacquelyn K. S. Nagel ◽  
Frank W. Liou
Keyword(s):  
Hybrid System ◽  
Manufacturing Process ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
System Modeling ◽  
Production Costs ◽  
Production Model ◽  
Hybrid Manufacturing ◽  
Lamp System ◽  
Metallic Parts

Reliable and economical fabrication of metallic parts with complicated geometries is of considerable interest for the aerospace, medical, automotive, tooling and consumer products industries. In an effort to shorten the time-to-market, decrease the manufacturing process chain, and cut production costs of products produced by these industries, research has focused on the integration of multiple unit manufacturing processes into one machine. The end goal is to reduce production space, time, and manpower requirements. Our research into hybrid manufacturing systems has lead to the integration of additive and subtractive processes within a single machine footprint such that both processes are leveraged during fabrication. The laser aided manufacturing process (LAMP) system provides a rapid prototyping and rapid manufacturing infrastructure for research and education. The LAMP system creates fully dense, metallic parts and provides all the advantages of commercial laser metal deposition (LMD) systems. This hybrid system is a very competitive and economical approach to fabricating metallic structures. Hybrid manufacturing systems facilitate a sustainable and intelligent production model and offer flexibility of infrastructure to adapt with emergent technology, customization, and changing market needs. This paper summarizes the salient research activities and the findings of those activities related to the modeling and development of the hybrid manufacturing system. Our qualitative and quantitative modeling efforts, as well as the resultant system architecture are described. The approach and strategies utilized in this research coalesce to facilitate an interdisciplinary approach to the development a hybrid manufacturing system to produce metal parts that are not only functional but also processed to the final desired surface-finished and tolerance. Furthermore, the approach to hybrid system modeling and development can assist in general with integrated manufacturing systems.

scholarly journals Sustainable, Smart, and Sensing Technologies for Cyber-Physical Manufacturing Systems: A Systematic Literature Review

2021 ◽  
Vol 13 (10) ◽  
pp. 5495
Author(s):  
Mihai Andronie ◽  
George Lăzăroiu ◽  
Roxana Ștefănescu ◽  
Cristian Uță ◽  
Irina Dijmărescu
Keyword(s):  
Decision Making ◽  
Internet Of Things ◽  
Literature Review ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Data Driven ◽  
Smart Manufacturing ◽  
Production Networks ◽  
Production Logistics ◽  
Time Production

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.

Introduction of Flexible Manufacturing Systems as a Necessary Measure for the Russian Industrial Development

2019 ◽  
Vol 957 ◽  
pp. 195-202 ◽  
Author(s):  
Elizaveta Gromova
Keyword(s):  
Flexible Manufacturing ◽  
Flexible Manufacturing Systems ◽  
Industrial Development ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Agile Manufacturing ◽  
Industrial Sector ◽  
Business Environment ◽  
Maximum Speed ◽  
Industrial Enterprises

With the onset of the Fourth Industrial Revolution, the business environment becomes inherent in changes that occur with maximum speed, as well as characterized by the systemic nature of the consequences. One of them is the transformation of operational management models in industrial enterprises. The modern manufacturing system should focus not only on speed of response and flexibility, but also on the cost and quality of products. Integration of effective models: agile manufacturing, quick response manufacturing and lean production, in order to extract the best from them is proposed. The purpose of this study is to analyze this flexible manufacturing system and to relate it to the current state of the Russian industrial development. Theoretical and practical aspects of this model are presented. The examples of the flexible models introduction in the Russian industrial sector is allocated. The conclusion about the necessity of the flexible manufacturing systems implementation for the Russian industrial development is drawn.

Combined Scheduling and Routing in Discrete Manufacturing Systems

1990 ◽  
Vol 23 (3) ◽  
pp. 671-676
Author(s):  
M. Aicardi ◽  
A. Di Febbraro ◽  
R. Minciardi
Keyword(s):  
Manufacturing Systems ◽  
Discrete Manufacturing

DECISION SUPPORT FOR A SUSTAINABLE PRODUCTION IN JOB SHOP MANUFACTURING SYSTEMS

10.6036/9917 ◽  
2021 ◽  
Vol 96 (5) ◽  
pp. 455-459
Author(s):  
MAHDI NADERI ◽  
ANTONIO FERNÁNDEZ ULLOA ◽  
JOSÉ ENRIQUE ARES GÓMEZ ◽  
GUSTAVO PELÁEZ LOURIDO
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Job Shop ◽  
Sustainable Production ◽  
Ease Of Use ◽  
Manufacturing Companies ◽  
Strategic Decisions ◽  
Production Environments

Despite the growing importance that is being given to the concepts of sustainability in many areas, not only in industry but also in the economy and public opinion in general, until now, most research has focused, practically, on the analysis of the concepts, but has not addressed, in a comprehensive way, its impact in decision making probably due to the complex relations of interdependence between its different aspects. In this context, MAPSAM (Methodology for the Assessment of Sustainability in Manufacturing Processes and Systems) was created to help the decision-making process, allowing a conscious and transparent assessment by administrators and managers at the different levels of the structure of companies and organisations. This article explains its development and application in a "job shop" type manufacturing system with an approach that allows the integration of economic, environmental and social criteria. MAPSAM is based on the use of various techniques and tools to quantify the importance of each aspect of sustainability and it has been applied in other production environments, being implemented in different systems, analysing their ease of use and evaluating their behaviour. The objective is to show how it helps to make operational, tactical and strategic decisions in the management on these type of manufacturing companies and, specifically, in this contribution we want to highlight its versatility and applicability, by validating it in a certain type of layout. With this new application, MAPSAM increases its possibilities as an innovative instrument that allows companies to make conscious and sustainable decisions in order to be more efficient, fair, supportive and respectful of the environment. Keywords: Manufacturing System, Simulation, Decision Support, Sustainable Production, Decision-Making

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