scholarly journals An Entropy-Based Formulation for the Support of Sustainable Mass Customization 4.0

2020 ◽  
Vol 2020 ◽  
pp. 1-21
Author(s):  
César Martínez-Olvera
Keyword(s):  
Energy Consumption ◽  
Mass Customization ◽  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Discrete Event ◽  
Energy Productivity ◽  
Event Simulation ◽  
Managerial Implications ◽  
Optimal Resource ◽  
Information And Communication

Industry 4.0, an information and communication umbrella of terms that includes the Internet of Things (IoT) and cyber-physical systems, aims to ensure the future of the manufacturing industry competing in a proper environment of mass customization: demand for short delivery time, high quality, and small-lot products. Within this context of an Industry 4.0 mass customization environment, success depends on its sustainability, where the latter can only be achieved by the manufacturing efficiency of the smart factory-based Industry 4.0 transforming processes. Even though Industry 4.0 is associated with an optimal resource and energy productivity/efficiency, it becomes necessary to answer if the integration of Industry 4.0 elements (like CPS) has a favorable sustainability payoff. This requires performing energy consumption what-if analyses. The original contribution of this paper is the use of the entropy-based formulation as an alternative way of performing the initial steps of the energy consumption what-if analyses. The usefulness of the proposed approach is demonstrated by comparing the results of a discrete-event simulation model of mass customization 4.0 environment and the values obtained by using the entropy-based formulation. The obtained results suggest that the entropy-based formulation acts as a fairly good trend indicator of the system’s performance parameters increase/decrease. The managerial implications of these findings are presented at the end of this document.

scholarly journals An Entropy-Based Formulation for Assessing the Complexity Level of a Mass Customization Industry 4.0 Environment

2020 ◽  
Vol 2020 ◽  
pp. 1-19 ◽  
Author(s):  
César Martínez-Olvera
Keyword(s):  
Mass Customization ◽  
Industry 4.0 ◽  
Discrete Event ◽  
Complexity Measures ◽  
Event Simulation ◽  
Manufacturing Complexity ◽  
Original Contribution ◽  
Managerial Implications ◽  
Product Customization ◽  
System Operating

It has been stated that Industry 4.0’s goal is, among others, the sustainable success in a market characterized by exigent and informed consumers demanding personalized products and services, where the level of manufacturing complexity increases with level of product customization. Even though different manufacturing complexity measures have been developed, there seems to be a lack of a comprehensive metric that address both the mass customization variety-induced complexity, and the complexity derived from the adoption of the Industry 4.0 paradigm. The main original contribution of this paper is the development of an entropy-based (entropic) formulation to address this last issue. Its validity and usefulness is put to the test via a discrete-event simulation study of a mass customization production system operating within an Industry 4.0 context. Our findings show that the entropic formulation acts as a fairly good trend indicator of the system’s performance parameter increase/decrease, but not as an estimator of the final values. A discussion of the managerial implications of the obtained results is offered at the end of the paper.

Distributed Energy Resource Management System Based on Discrete Event Simulation

2020 ◽  
pp. 246-273
Author(s):  
Simona Šinko ◽  
Dušan Kragelj ◽  
Ivana Radić ◽  
Brigita Gajšek ◽  
Tomaž Kramberger ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Industry 4.0 ◽  
Discrete Event ◽  
Energy Resource ◽  
Distributed Energy ◽  
Modeling And Analysis ◽  
Event Simulation ◽  
Resource Management System ◽  
Distributed Energy Resource

Nowadays, there is more and more discussion about Industry 4.0. The introduction of which could result into growing larger power consumption in a world. On the other side, some parts of Industry 4.0 can help to reduce energy consumption with the use of smart grid, internet of things, renewable energy, etc. The future of energy seems to be in the distributed energy resources (DER). The chapter presents the use of DER on the example of hospital, which are considered as the biggest consumer of energy in commercial sector. Because of important role of understanding the energy consumption, there is an emphasis on the energy modeling and analysis. The chapter provides a new approach in the modelling of energy with the discrete even simulation in which energy is presented by logistics packages, where every package presents a unit of energy. Basic analyses that can be made with the model are presented.

scholarly journals A Comprehensive Framework for the Analysis of Industry 4.0 Value Domains

2019 ◽  
Vol 11 (10) ◽  
pp. 2960 ◽  
Author(s):  
César Martínez-Olvera ◽  
Jaime Mora-Vargas
Keyword(s):  
Value Creation ◽  
Mass Customization ◽  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Dynamics Model ◽  
Sustainability Issue ◽  
Managerial Implications ◽  
Medium Enterprises ◽  
Comprehensive Framework ◽  
Value Creation Process

Industry 4.0 aims to ensure the future competitiveness of the manufacturing industry by providing Companies with the ability to react to rapid product changes and disturbances, efficiently and reliably, through re-configurability. In this paper, we explore the value creation process within Industry 4.0, with special emphasis on its relationship with mass customization and the sustainability issue. Based on the identified research gaps and opportunities derived from a literature review of relevant concepts, we propose the development of the Customer-Product-Process-Resource (CPPR) 4.0, a comprehensive framework that puts the value proposition-creation-capture cycle proper of an Industry 4.0 environment, in the context of a manufacturing organization’s customer-product-process-resources views. The usefulness of the proposed framework is exemplified by using it to derive system dynamics model of the mass customization paradigm. A discussion of the managerial implications of the obtained results for both the sustainability and the case of Small-to-Medium Enterprises (SMEs) is offered at the end of the paper.

Distributed Energy Resource Management System Based on Discrete Event Simulation

2021 ◽  
pp. 131-157
Author(s):  
Simona Šinko ◽  
Dušan Kragelj ◽  
Ivana Radić ◽  
Brigita Gajšek ◽  
Tomaž Kramberger ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Industry 4.0 ◽  
Discrete Event ◽  
Energy Resource ◽  
Distributed Energy ◽  
Modeling And Analysis ◽  
Event Simulation ◽  
Resource Management System ◽  
Distributed Energy Resource

Nowadays, there is more and more discussion about Industry 4.0. The introduction of which could result into growing larger power consumption in a world. On the other side, some parts of Industry 4.0 can help to reduce energy consumption with the use of smart grid, internet of things, renewable energy, etc. The future of energy seems to be in the distributed energy resources (DER). The chapter presents the use of DER on the example of hospital, which are considered as the biggest consumer of energy in commercial sector. Because of important role of understanding the energy consumption, there is an emphasis on the energy modeling and analysis. The chapter provides a new approach in the modelling of energy with the discrete even simulation in which energy is presented by logistics packages, where every package presents a unit of energy. Basic analyses that can be made with the model are presented.

scholarly journals A Methodology to Adapt and Understand a Manufacturing System and Operations using Discrete-Event Simulatio

2019 ◽  
Vol 8 (6) ◽  
pp. 4998-5003
Keyword(s):  
Discrete Event Simulation ◽  
Manufacturing Industry ◽  
Manufacturing System ◽  
Discrete Event ◽  
The State ◽  
State Variables ◽  
Event Simulation ◽  
Potential Benefits ◽  
Short Hand

Discrete-Event Simulation (DES) is concerned with system and modeling of that system, where the state of the system is transformed at different discrete points from time to time, and several event occurs from time to time and the changes in state variables will transform then activities/attributes connected to these state variables changes according to the event. It is a robust methodology in the manufacturing industry for strategic, tactical, and operational applications for an organization, and yet organizations ignore to use simulation and do not rely on it. Moreover, companies that are using DES are not using the potential benefits but merely used as a short-hand basis for problems like bottlenecks, optimization, and in later stages of production like PLM, this paper aims to apply and analyze Discrete-Event Simulation through a Manufacturing System. The work describes here is to understand the concept of simulation for a system and to practice Discrete Event methodology

Industry 4.0 and Its Impact on Working Life

2021 ◽  
pp. 1164-1177
Author(s):  
Gokhan Ofluoglu
Keyword(s):  
Information And Communication Technologies ◽  
Social Order ◽  
Industry 4.0 ◽  
Production Efficiency ◽  
Industrial Revolution ◽  
Muscle Power ◽  
Energy Productivity ◽  
Technological Developments ◽  
Information And Communication ◽  
Aging Societies

The natural development of history of humanity confronts the societies with a new industrial wave making use of the opportunities of the information and communication technologies. While the concept of labor depending on muscle force that produced the emergence of modern societies withdraws from production process, the gap is filled by intelligent machinery which automatically decides by itself by employing machinery automation and internet technologies. In the new social order, people determine their own standing according to their intellectual build-up instead of muscle power. Industry 4.0 brings a lot of advantages together with the reduction of source consumption, energy productivity, production efficiency, stabilization of rising workforce expenditures, and prevention of the impact of aging societies on production. Although problems come up on the issues of setting the intelligence of machinery and accomplishing workforce market that fits the industrial revolution, technological developments and the subsidies draw the actualization date of the process forward.

scholarly journals Fully Immersive Virtual Reality in Logistics Modelling and Simulation Education

2021 ◽  
Vol 33 (6) ◽  
pp. 799-806
Author(s):  
Dario Ogrizović ◽  
Ana Perić Hadžić ◽  
Mladen Jardas
Keyword(s):  
Virtual Reality ◽  
Learning Strategies ◽  
Discrete Event ◽  
Immersive Virtual Reality ◽  
Event Simulation ◽  
Simulation Education ◽  
Head Mounted Displays ◽  
Information And Communication ◽  
And Training ◽  
Potential Use

With the increasing development and popularisation of information and communication technology, new challenges are posed to higher education in the modernisation of teaching in order to make education and training of students as effective as possible. It is therefore very important to develop and experiment with appropriate development tools, explore their benefits and effectiveness, and integrate them into existing learning strategies. The emergence of a computer-generated digital environment that can be directly experienced, actions that can determine what is happening in it, growth of technological characteristics, and decline in prices of virtual reality hardware leads to a situation that cannot be ignored. This paper investigated users' perceptions on the potential use of fully immersive virtual reality head-mounted displays in a discrete-event simulation of logistics processes. The dynamic nature of virtual environments requires active participation which causes greater engagement, motivation, and interest aided by interaction and challenges.

Towards Data-Driven Sustainable Machining: Combining MTConnect Production Data and Discrete Event Simulation

2010 ◽  
Author(s):  
N. Bengtsson ◽  
J. Michaloski ◽  
F. Proctor ◽  
G. Shao ◽  
S. Venkatesh
Keyword(s):  
Discrete Event Simulation ◽  
Manufacturing Industry ◽  
Discrete Event ◽  
Simulation Models ◽  
Shop Floor ◽  
Production Data ◽  
Accurate Analysis ◽  
Life Cycle Assessments ◽  
Event Simulation ◽  
Sustainable Performance

Recently there has been an increased focus on the environmental aspects of the manufacturing industry across the world. Boeing and NIST have studied the incorporation of Life Cycle Assessments (LCA) parameters into Discrete Event Simulation (DES) as a means to analyze sustainable performance in the manufacturing area. Accurate analysis of manufacturing processes using Discrete Event Simulation requires detailed CNC production data. Using MTConnect, production LCA data from Boeing shop floor machine tools was acquired and was used to develop Discrete Event Simulation models. We will discuss our implementation, and analyze results of incorporating shop floor LCA data directly in DES models.

scholarly journals Quantifying the Impact of Inspection Processes on Production Lines through Stochastic Discrete-Event Simulation Modeling

Modelling ◽  
2021 ◽  
Vol 2 (4) ◽  
pp. 406-424
Author(s):  
Pablo Martinez ◽  
Rafiq Ahmad
Keyword(s):  
Discrete Event Simulation ◽  
Lean Manufacturing ◽  
Manufacturing Industry ◽  
Discrete Event ◽  
Production Lines ◽  
Event Simulation ◽  
Inspection Systems ◽  
The Cost ◽  
Multistage Production ◽  
The Impact

Inspection processes are becoming more and more popular beyond the manufacturing industry to ensure product quality. Implementing inspection systems in multistage production lines brings many benefits in productivity, quality, and customer satisfaction. However, quantifying the changes necessary to adapt the production to these systems is analytically complicated, and the tools available lack the flexibility to visualize all the inspection strategies available. This paper proposed a discrete-event simulation model that relies on probabilistic defect propagation to quantify the impact on productivity, quality, and material supply at the introduction of inspection processes in a multistage production line. The quantification follows lean manufacturing principles, providing from quite basic quantity and time elements to more comprehensive key performance indicators. The flexibility of discrete-event simulation allows for customized manufacturing and inspection topologies and variability in the tasks and inspection systems used. The model is validated in two common manufacturing scenarios, and the method to analyze the cost-effectiveness of implementing inspection processes is discussed.

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