Optimisation of Lean and Green Strategy Deployment in Manufacturing Systems

Greinacher, Sebastian; Lanza, Gisela

doi:10.4028/www.scientific.net/amm.794.478

Cited by 4 publications

(3 citation statements)

References 9 publications

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“…85 % gesenkt werden (2) . Durch die Adaption von „Lean Manufacturing“, also Methoden des Maschinenbaus , was eine automatisierte und überwachte Hochpräzisionsfertigung in zentralen Vorfertigungsanlagen ermöglicht, sind Einsparungen sogar um bis zu 95 % denkbar (3). Dies erfordert modulare Fertigungskonzepte für Mittel‐ und Großserien, welche z.…”

Section: Einführungunclassified

Optimierungsgestützt entwerfen und bemessen

2020

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Optimization-based design Concrete is freely formable. And reinforcements can be placed anywhere in the concrete. Nevertheless, this potential is rarely used. Reinforced concrete structures are commonly rectangular shaped with reinforcement meshes parallel to the surfaces and thus possess large mass. This article shows how topological optimization can be used to create concrete structures affine to the flux of forces. Material consumption decreases rapidly. External shaping, effective cross-section designs, and trajectory-oriented reinforcement layouts are presented. First the very basic equations of the associated structural optimization problem are derived. Then a novel material-specific control mechanism towards tensile or compressive dominant designs is introduced. It is discussed how this enables to account for structural robustness. Numerous examples illustrate application on bridges, pylons, shells, beams, girder grids or support details and quantify the potential material reduction in concrete construction arising thereof.

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Section: Einführungunclassified

Optimierungsgestützt entwerfen und bemessen

2020

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“…Research in the field of energy efficiency and energy oriented production planning has become increasingly important in the past decade. Motivated by scarce resources, flexible energy prices and the fluctuating supply of renewable energy, there are several contributions for energy-oriented production control such as [1][2][3][4][5][6][7][8][9][10][11][12][13].…”

Section: Related Literaturementioning

confidence: 99%

Exploring Opportunities: Optimizing Production Planning by Factoring in Energy Procurement and Trading Options

Selmair¹,

Hanfeld²,

Claus³

et al. 2017

SNE

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Motivated by the increasing share of renewable energy in the markets for energy commodities, this study has evaluated the potential for optimizing production planning by taking into account disposable options for procuring energy, in this case electricity. For this purpose, a material flow simulation study extended by an electricity price simulation has been executed to examine possible cost scenarios. Our findings support the notion of a potential for further research in new optimization models involving energy procurement as well as energy trading options.

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“…Cai et al [17,18] proposed a new concept of entitled, lean, energy-saving, emission reduction and fine energy consumption allowance. Greinacher S. et al [19] focused on the identification of a cost-optimized combination of lean and green strategies with regard to green targets. Cai et al [20] measured the eco-environment loss caused by industrial solid waste.…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Parameter Optimization Dynamic Model of Grinding Processes for Promoting Low-Carbon and Low-Cost Production

Sun

Gong

et al. 2019

Processes

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Grinding is widely used in mechanical manufacturing to obtain both precision and part requirements. In order to achieve carbon efficiency improvement and save costs, carbon emission and processing cost models of the grinding process are established in this study. In the modeling process, a speed-change-based adjustment function was introduced to dynamically derive the change of the target model. The carbon emission model was derived from the grinding force using regression. Considering the constraints of machine tool equipment performance and processing quality requirements, the grinding wheel's linear velocity, cutting feed rate, and the rotation speed of the workpiece were selected as the optimization variables, and the improved NSGA-II algorithm was applied to solve the optimization model. Finally, fuzzy matter element analysis was used to evaluate the most optimal processing plan.

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Optimisation of Lean and Green Strategy Deployment in Manufacturing Systems

Cited by 4 publications

References 9 publications

Optimierungsgestützt entwerfen und bemessen

Optimierungsgestützt entwerfen und bemessen

Exploring Opportunities: Optimizing Production Planning by Factoring in Energy Procurement and Trading Options

Multi-Objective Parameter Optimization Dynamic Model of Grinding Processes for Promoting Low-Carbon and Low-Cost Production

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