Integrating simulation-based optimization, lean, and the concepts of industry 4.0

Zúñiga, Enrique Ruiz; Moris, Matías Urenda; Syberfeldt, Anna

doi:10.1109/wsc.2017.8248094

Cited by 12 publications

(4 citation statements)

References 22 publications

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“…As a consequence, strong mutations in the society behavior, lifestyle, and consumption are noticed and are considered as new indicators of globalization [18][19][20][21]. The manufacturing systems represent a significant growing share to the global trade and become more and more challenging [22][23][24].…”

Section: Mutation Of Factoriesmentioning

confidence: 99%

Modeling and Simulation of Manufacturing Processes and Systems: Overview of Tools, Challenges, and Future Opportunities

Alquraish

2022

Eng. Technol. Appl. Sci. Res.

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Manufacturing is an important part of the modern economy. It is characterized by complexity in terms of systems, approaches, and interactions with intrinsic and extrinsic factors. Numerous efforts have been developed to use modeling and simulation tools to improve manufacturing efficiency and productivity and to achieve maximum quality, especially with the different mutations in the factories of today. This paper reviews the conventional and modern tools used in manufacturing system design and production improvement. Challenges that need to be addressed by the simulation community are discussed in depth. Finally, the evolution, advances, current practices, and future opportunities are discussed in the context of the contemporary manufacturing industry.

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Section: Mutation Of Factoriesmentioning

confidence: 99%

Modeling and Simulation of Manufacturing Processes and Systems: Overview of Tools, Challenges, and Future Opportunities

Alquraish

2022

Eng. Technol. Appl. Sci. Res.

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“…Computer simulations are emerging as an indispensable and a powerful tool to better understand the dynamics of current age business systems (Lachenmaier et al, 2017). Out of the nine founding pillars of Industry 4.0 vision, design and development of simulation models forms a crucial facet (Wang and Koren, 2012;Jain and Shao, 2014;Shao et al, 2014;Syberfeldt et al, 2016;Z uñiga et al, 2017). Most of the simulation application in manufacturing can be categorized in system design and analysis Prescriptive decision support system simulation and system operational simulation (Negahban and Smith, 2014;Karakostas et al, 2021).…”

Section: Literature Reviewmentioning

confidence: 99%

Developing a prescriptive decision support system for shop floor control

Kumari

Kulkarni

2022

IMDS

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PurposeThe reported study aims at connecting the two crucial aspects of manufacturing of future, i.e. advanced analytics and digital simulation, with an objective to facilitate real-time control of manufacturing operations. The work puts forward a framework for designing prescriptive decision support system for a multi-machine manufacturing environment.Design/methodology/approachThe schema of the decision support system design begins with the development of a simulation model for a manufacturing shop floor. The developed model facilitates prediction followed by prescription. As a connecting link between prediction and prescription mechanism, heuristics for intervention have been proposed. Sequential design and simulation-based demonstration of activities that span from development of a multi-machine shop floor model; a prediction mechanism and a scheme of intervention that ultimately leads to prescription generation are the highlights of the current work.FindingsThe study reveals that the effect of intervention on the observed predictors varies from one another. For a machine under observation, subject to same intervention scheme, while two of the predictive measures namely penalty and desirability stabilize after a certain point, a third measure, i.e. complexity, shows either an increase or decrease in percent change. The work objectively establishes that intervention plans have to be evaluated for every machine as well as for every environmental variable and emphasizes the need for dynamic evaluation and control mechanism.Originality/valueThe proposed prescriptive control mechanism has been demonstrated through a case of a high pressure die casting (HPDC) manufacturer.

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“…Simulation modeling is the method where models of a real or an envisioned system or process are used to better understand and predict the behavior of the modeled system or process [58]. Simulation is a widely used technique for approaching challenges both in manufacturing and logistics industries and has great potential to improve production in middle and large-sized organizations [59]. Simulation modeling usually helps reduce costs, shorten the development cycles, and increase the quality of products.…”

Section: Simulation and Digital Twinsmentioning

confidence: 99%

Industry 4.0 Technologies and Their Impact in Contemporary Logistics: A Systematic Literature Review

Efthymiou

Ponis

2021

Sustainability

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Even though the topic of Industry 4.0 in the last decade has attracted significant and multifarious attention from academics and practitioners, a structured and systematic review of Industry 4.0 in the context of contemporary logistics is currently lacking. This study attempted to address this shortcoming by performing a systematic review of the available literature of Industry 4.0 in the logistics context. To that end, and after a systematic inclusion/exclusion process, 65 carefully selected papers were addressed in the study. The results obtained from this study were illustrated and discussed in order to provide answers to two research questions pre-defined by the authors. In essence, this study identified emerging aspects and present trends in the area, addressed the main technological developments and evolution of Industry 4.0 and their impact for contemporary logistics, and finally pinpointed literature shortcomings and currently under-explored areas with a high potential for impactful future research. Findings of this review can hopefully be used as the basis for future research in the emerging Logistics 4.0 concept and related topics.

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Integrating simulation-based optimization, lean, and the concepts of industry 4.0

Cited by 12 publications

References 22 publications

Modeling and Simulation of Manufacturing Processes and Systems: Overview of Tools, Challenges, and Future Opportunities

Modeling and Simulation of Manufacturing Processes and Systems: Overview of Tools, Challenges, and Future Opportunities

Developing a prescriptive decision support system for shop floor control

Industry 4.0 Technologies and Their Impact in Contemporary Logistics: A Systematic Literature Review

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