scholarly journals Peak Electricity Demand Control of Manufacturing Systems by Gale-Shapley Algorithm with Discussion on Open Innovation Engineering

2020 ◽  
Vol 6 (2) ◽  
pp. 29 ◽  
Author(s):  
Paolo Renna
Keyword(s):  
Peak Power ◽  
Manufacturing Systems ◽  
Processing Time ◽  
Manufacturing System ◽  
Machining Processes ◽  
Allocation Model ◽  
Manufacturing Operations ◽  
Fixed Power ◽  
Demand Control ◽  
Medium Utilization

The peak power of the manufacturing systems can increase electricity costs and reduce the use of renewable energy suppliers. The power of the machining processes depends on the processing time of the operations. Then, the allocation of the power to the machines of a manufacturing system controls the processing time of the manufacturing operations. An efficient allocation model can reduce the peak power, keeping the throughput performance level. This paper proposes a game theory to allocate the power to the machines including the dependence of the processing time from the power allocated. The game model uses the Gale-Shapley algorithm that forms couples of under and overloaded machines. Then, each couple exchanges the power from the underloaded to overloaded machines. The model considers the global workload and the jobs in queue for each machine. A simulation model tests the proposed method compared to a benchmark where each machine works with fixed power. The simulation results show how the model can improve the performance of the manufacturing system in several conditions tested. In particular, the main benefits can be obtained when the manufacturing system has high or medium utilization or the uncertainty affects the processing time.

scholarly journals The flexibility of industrial additive manufacturing systems

2018 ◽  
Vol 38 (12) ◽  
pp. 2313-2343 ◽  
Author(s):  
Daniel R. Eyers ◽  
Andrew T. Potter ◽  
Jonathan Gosling ◽  
Mohamed M. Naim
Keyword(s):  
Additive Manufacturing ◽  
Operations Management ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Detailed Examination ◽  
Multiple Sources ◽  
Content Type ◽  
Commercial Practice ◽  
Systems Perspective ◽  
Manufacturing Operations

Purpose Flexibility is a fundamental performance objective for manufacturing operations, allowing them to respond to changing requirements in uncertain and competitive global markets. Additive manufacturing machines are often described as “flexible,” but there is no detailed understanding of such flexibility in an operations management context. The purpose of this paper is to examine flexibility from a manufacturing systems perspective, demonstrating the different competencies that can be achieved and the factors that can inhibit these in commercial practice. Design/methodology/approach This study extends existing flexibility theory in the context of an industrial additive manufacturing system through an investigation of 12 case studies, covering a range of sectors, product volumes, and technologies. Drawing upon multiple sources, this research takes a manufacturing systems perspective that recognizes the multitude of different resources that, together with individual industrial additive manufacturing machines, contribute to the satisfaction of demand. Findings The results show that the manufacturing system can achieve seven distinct internal flexibility competencies. This ability was shown to enable six out of seven external flexibility capabilities identified in the literature. Through a categorical assessment the extent to which each competency can be achieved is identified, supported by a detailed explanation of the enablers and inhibitors of flexibility for industrial additive manufacturing systems. Originality/value Additive manufacturing is widely expected to make an important contribution to future manufacturing, yet relevant management research is scant and the flexibility term is often ambiguously used. This research contributes the first detailed examination of flexibility for industrial additive manufacturing systems.

Design for Lean Manufacturing: Incorporating Lean Considerations During Product Development

2006 ◽  
Author(s):  
S. J. Pavnaskar ◽  
D. Weaver ◽  
J. K. Gershenson
Keyword(s):  
System Design ◽  
Continuous Improvement ◽  
Lean Manufacturing ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Manufacturing Operations ◽  
Manufacturing System Design ◽  
Lean Engineering ◽  
Product And Process ◽  
Lean Operations

Lean has become a “must-use” philosophy for businesses today. Lean manufacturing focuses on the elimination of waste in manufacturing operations. Similarly, companies have started using lean engineering to eliminate wastes from their engineering processes. Both lean manufacturing and lean engineering yield dramatic improvements in quality, cost, and delivery. However, the philosophy of lean (manufacturing and engineering) revolves around the continuous improvement of existing processes. Costs associated with continuous improvement can be significantly reduced by incorporating “lean” considerations when designing a product, process, or manufacturing system. This is known as design for lean manufacturing (DfLM). DfLM guides the design of a product, process, or a manufacturing system to enable lean operations when in production, just as design for assembly (DFA) guides the design of a product to allow easier assembly during production. Currently, there are no guidelines that would help a product or process designer in considering to lean operations during design. Note that usage of the word “product” in this paper must be interpreted in a literary sense and not as a “widget.” The “product” of a manufacturing engineering process is a complete manufacturing system. In this paper, we consider manufacturing system design and propose a novel set of structured DfLM guidelines for designing a manufacturing system. These guidelines will be a valuable resource for manufacturing engineers to guide manufacturing system design for new products to enable lean operations once the system is in production. DfLM guidelines for system design also will help plant engineers and rapid continuous improvement managers to assess existing manufacturing systems and identify and prioritize improvement efforts. The proposed DfLM guidelines are then validated for accuracy, completeness, and redundancy by using them to evaluate an existing benchmark manufacturing system. The initial DfLM guidelines show promise for use in designing manufacturing systems that are easy to manage, flexible, safe, build quality into the products, optimize material flow, fully utilize all resources, maximize throughput, and continuously produce what the customer wants just in time. Similar guidelines can be proposed for product and process design to further enhance the efficiency of operations and reduce the overhead of continuous improvement efforts.

scholarly journals AVANCES EN EL DESARROLLO DE UN SISTEMA DE MANUFACTURA ADITIVA BASADO EN STEP-NC

2018 ◽  
Vol 4 (1) ◽  
pp. 39-53 ◽  
Author(s):  
Efrain Rodriguez ◽  
Renan Bonnard ◽  
Alberto José Alvares
Keyword(s):  
Additive Manufacturing ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Reference Model ◽  
Object Oriented Programming ◽  
Numerical Control ◽  
Layer By Layer ◽  
Machining Processes ◽  
Material Deposition ◽  
Nc Program

The new standard of numerical control, known as STEP-NC, is categorized as the future of the advanced manufacturing systems. Greater flexibility and interoperability are some potential benefits offered by STEP-NC to meet the challenges of the new industrial landscape that is envisaged with the advent of Industry 4.0. Meanwhile, STEP-NC object-oriented programming has been partially applied and developed for machining processes (milling, turning...). But with the processes of additive manufacturing has not happened the same and the development is still incipient. This work presents the advances in the development of a new STEP-NC compliant additive manufacturing system, focusing particularly on the development of the information model. The application model activities in the IDEF0 nomenclature and application reference model in EXPRESS are presented. The AM-layer-feature concept has been introduced to define the manufacturing feature of additive processes based on material deposition layer-by-layer. Finally, a STEP-NC program generated from the EXPRESS model is presented, which can be implemented on an additive manufacturing system to validate the proposed model.                                                                                           

scholarly journals Reactive Scheduling Based on Adaptive Manipulator Operations in a Job Shop Configuration with Two Machines

2021 ◽  
Vol 15 (5) ◽  
pp. 661-668
Author(s):  
Ryo Yonemoto ◽  
◽  
Haruhiko Suwa
Keyword(s):  
Machine Tools ◽  
Manufacturing Systems ◽  
Material Handling ◽  
Manufacturing System ◽  
Job Shop ◽  
Machining Processes ◽  
Operation Sequence ◽  
Machine Failure ◽  
Operation Schedule ◽  
Two Machines

Manufacturing systems are affected by uncertainties, such as machine failure or tool breakage, which result in system downtime and productivity deterioration. In machining processes, system downtime must be reduces. This study aims to establish an automated scheduling technique that flexibly responds to unforeseen events, such as machine failure, based on adaptive operations of the handling manipulator instead of an operation schedule for the machine tools. We propose an “adaptive manipulation” procedure for establishing a reactive revision policy. The reactive revision policy modifies a portion of the manipulator operation sequence, followed by the machine operation sequence. We conduct a physical scheduling simulation on a material-handling manipulator system imitating a job-shop manufacturing system. Through simulations involving machine breakdown scenarios, the applicability of the reactive revision policy based on adaptive manipulation is demonstrated.

Design Policies in Virtual Cellular Manufacturing Systems by Multi-Domain Simulation Environment

2014 ◽  
Vol 718 ◽  
pp. 192-197
Author(s):  
Paolo Renna
Keyword(s):  
Manufacturing Systems ◽  
Processing Time ◽  
Manufacturing System ◽  
Cellular Manufacturing ◽  
Cellular Manufacturing System ◽  
Simulation Environment ◽  
Cellular Manufacturing Systems ◽  
Customer Demand ◽  
Turbulent Environment ◽  
Demand Fluctuations

In today’s competitive market, customer demand is characterized by high fluctuations and it is more difficult to forecast. Therefore, the classical cellular manufacturing systems need to be revised in order to stay competitive. Among the different approaches to support the cellular manufacturing systems, the concept of virtual cellular manufacturing systems can improve the performance in turbulent environment. This paper proposes two policies to support the problem of the reconfiguration of machines in a virtual cellular manufacturing system. The policies proposed are tested developing a multi-domain simulation environment in ExtendSim®. The experiments conducted show how the proposed approach improves the performance of the manufacturing systems especially when some disturbances occur as demand fluctuations, machine failures and processing time are uncertain.

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.

Usability of Web-Based Design and Manufacturing Systems: Case Study of Micro Machining

2005 ◽  
Author(s):  
Hyung-Jung Kim ◽  
Won-Shik Chu ◽  
Hyuk-Jin Kang ◽  
Sung-Hoon Ahn ◽  
Dong-Soo Kim ◽  
...  
Keyword(s):  
Manufacturing Systems ◽  
Processing Time ◽  
Micro Machining ◽  
User Friendliness ◽  
Web Based ◽  
Design And Manufacturing ◽  
Cad Cam ◽  
Machining System ◽  
Web Based System ◽  
The Web

In this paper, web-based design and manufacturing systems are compared with a commercial CAD/CAM system from the point of usability. The web-based systems included in this study were MIcro Machining System (MIMS) and SmartFab. In the MIMS architecture, a 3D model in STL format was read via a web browser, sent to the web server for toolpath planning, and NC codes were generated to be fed back to the designer through the web connection. In the SmartFab system, SolidWorks was used as the design interface with provided modified menus for micro machining. These additional menus were created by SolidWorks API that also provided web-based links to the toolpath planner. In the commercial CAD/CAM case, without using any web connection, SolidWorks or CATIA was used for design, and PowerMill was used as a CAM tool. For each design and manufacturing system, accessibility, user-friendliness, toolpath-reliability, and processing time were compared. Total 91 students tested these systems in undergraduate CAD class, and the feedback showed better performance of the web-based system in accessibility, user-friendliness, and processing time. However, reliability of the web-based system showed necessity of further improvement.

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

Interoperability in Cloud Manufacturing and Practice on Private Cloud Structure for SMEs

2017 ◽  
Author(s):  
Xi Vincent Wang ◽  
Lihui Wang
Keyword(s):  
Manufacturing Systems ◽  
Manufacturing System ◽  
Research Work ◽  
Cloud Manufacturing ◽  
Cloud Services ◽  
Security Requirements ◽  
Research Trend ◽  
Safety Regulations ◽  
Multiple Challenges ◽  
New Research

In recent years, Cloud manufacturing has become a new research trend in manufacturing systems leading to the next generation of production paradigm. However, the interoperability issue still requires more research due to the heterogeneous environment caused by multiple Cloud services and applications developed in different platforms and languages. Therefore, this research aims to combat the interoperability issue in Cloud Manufacturing System. During implementation, the industrial users, especially Small- and Medium-sized Enterprises (SMEs), are normally short of budget for hardware and software investment due to financial stresses, but they are facing multiple challenges required by customers at the same time including security requirements, safety regulations. Therefore in this research work, the proposed Cloud manufacturing system is specifically tailored for SMEs.

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