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.

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 Using Maturity Model and Discrete-Event Simulation for Industry 4.0 Implementation

2019 ◽  
Vol 18 (3) ◽  
pp. 488-499 ◽  
Author(s):  
B. Gajsek ◽  
J. Marolt ◽  
B. Rupnik ◽  
T. Lerher ◽  
M. Sternad
Keyword(s):  
Discrete Event Simulation ◽  
Industry 4.0 ◽  
Discrete Event ◽  
Maturity Model ◽  
Event Simulation

scholarly journals Reconfiguration of supply chain network: an ISM-based roadmap to performance

2014 ◽  
Vol 21 (3) ◽  
pp. 386-411 ◽  
Author(s):  
Navin K. Dev ◽  
Ravi Shankar ◽  
Prasanta Kumar Dey
Keyword(s):  
Supply Chain ◽  
Mass Customization ◽  
Product Life Cycle ◽  
Discrete Event ◽  
Interaction Matrix ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Event Simulation ◽  
Short Product ◽  
Practical Implications

Purpose – Short product life cycle and/or mass customization necessitate reconfiguration of operational enablers of supply chain (SC) from time to time in order to harness high levels of performance. The purpose of this paper is to identify the key operational enablers under stochastic environment on which practitioner should focus while reconfiguring a SC network. Design/methodology/approach – The paper used interpretive structural modeling (ISM) approach that presents a hierarchy-based model and the mutual relationships among the enablers. The contextual relationship needed for developing structural self-interaction matrix (SSIM) among various enablers is realized by conducting experiments through simulation of a hypothetical SC network. Findings – The research identifies various operational enablers having a high driving power towards assumed performance measures. In this regard, these enablers require maximum attention and of strategic importance while reconfiguring SC. Practical implications – ISM provides a useful tool to the SC managers to strategically adopt and focus on the key enablers which have comparatively greater potential in enhancing the SC performance under given operational settings. Originality/value – The present research realizes the importance of SC flexibility under the premise of reconfiguration of the operational units in order to harness high value of SC performance. Given the resulting digraph through ISM, the decision maker can focus the key enablers for effective reconfiguration. The study is one of the first efforts that develop contextual relations among operational enablers for SSIM matrix through integration of discrete event simulation to ISM.

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.

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