Optimization techniques to support decision-making processes via MSM—an Industry 4.0 approach

Peças, Paulo; Gonçalves, B. L.; Rocha, Bruno; Jorge, Diogo; Baptista, A. Poiares

doi:10.1016/b978-0-12-818906-1.00002-4

Cited by 2 publications

(7 citation statements)

References 3 publications

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“…In this study, MSM was introduced to form the basis of technoeconomic and environmental upstream impact analysis of the catalyst production process. The MSM methodology was developed on the basis of innovative Lean methodologies; therefore, it is a tool for relative efficiency assessment, which allows establishing a benchmark among the compared processes . To initiate the comparison, the MSM analysis requires determining the key performance indicators (KPIs)–process-associated parameters that can be compared.…”

Section: Resultsmentioning

confidence: 99%

“…The MSM framework was further applied to evaluate the overall process efficiency of the proposed approaches. To investigate the efficiency of individual process steps and map necessary improvements, the scorecard (Figure d) was assembled according to MSM guidelines. , The scorecard shows the efficiency of the identified KPIs for the proposed protocols. KPIs for the proposed synthesis are summarized in Table S7 (for details, see the Supporting Information).…”

Section: Resultsmentioning

confidence: 99%

“…16 To pioneer the sustainability assessment, related waste mapping, and costbased efficiency of M−N−C synthesis, a multilayer stream mapping framework (MSM) was applied. 17 The MSM methodology was developed on the basis of innovative Lean methodologies to evaluate the resource efficiency of manufacturing systems. 18 The MSM analysis has undergone validation in various industrial sectors 19,20 −evolving into a modern digital leverage Lean tool.…”

Section: ■ Introductionmentioning

confidence: 99%

“…Furthermore, to map the process inefficiencies, MSM assessment was used to determine the value-added costs (VA)−representing the "useful consumption" that adds value to the process−and non-value-added costs (NVA)−representing the "waste/misuse" of time, energy, or resources. 17 To analyze the VA and NVA of solid-state protocols, a comparison of energy and time consumption of the pyrolysis step (the most representative and readily available data point) was selected. The functional units of this assessment represent time-related and energy-related costs expressed in EUR.…”

Section: ■ Introductionmentioning

confidence: 99%

“…Additionally, in the overall viability assessment of ESC systems, identifying the catalyst production footprint remains an overlooked aspect of catalyst design–crucial to ensure the sustainability of ESC-derived energy . To pioneer the sustainability assessment, related waste mapping, and cost-based efficiency of M–N–C synthesis, a multilayer stream mapping framework (MSM) was applied . The MSM methodology was developed on the basis of innovative Lean methodologies to evaluate the resource efficiency of manufacturing systems .…”

Section: Introductionmentioning

confidence: 99%

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Template-Assisted Mechanosynthesis Leading to Benchmark Energy Efficiency and Sustainability in the Production of Bifunctional Fe–N–C Electrocatalysts

Kosimov

Alimbekova

Assafrei

et al. 2023

ACS Sustainable Chem. Eng.

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Efficient and sustainable synthesis of performant metal/nitrogen-doped carbon (M–N–C) catalysts for oxygen reduction and evolution reactions (ORR/OER) is vital for the global switch to green energy technologies–fuel cells and metal–air batteries. This study reports a solid-phase template-assisted mechanosynthesis of Fe–N–C, featuring low-cost and sustainable FeCl3, 2,4,6-tri(2-pyridyl)-1,3,5-triazine (TPTZ), and NaCl. A NaCl-templated Fe-TPTZ metal–organic material was formed using facile liquid-assisted grinding/compression. With NaCl, the Fe-TPTZ template-induced stability allows for a rapid, thus, energy-efficient pyrolysis. Among the produced materials, 3D-FeNC-LAG exhibits remarkable performance in ORR (E 1/2 = 0.85 V and E onset = 1.00 V), OER (E j=10 = 1.73 V), and in the zinc–air battery test (power density of 139 mW cm–2). The multilayer stream mapping (MSM) framework is presented as a tool for creating a sustainability assessment protocol for the catalyst production process. MSM employs time, cost, resource, and energy efficiency as technoeconomic sustainability metrics to assess the potential upstream impact. MSM analysis shows that the 3D-FeNC-LAG synthesis exhibits 90% overall process efficiency and 97.67% cost efficiency. The proposed synthetic protocol requires 2 times less processing time and 3 times less energy without compromising the catalyst efficiency, superior to the most advanced methods.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: ■ Introductionmentioning

confidence: 99%

Section: ■ Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Template-Assisted Mechanosynthesis Leading to Benchmark Energy Efficiency and Sustainability in the Production of Bifunctional Fe–N–C Electrocatalysts

Kosimov

Alimbekova

Assafrei

et al. 2023

ACS Sustainable Chem. Eng.

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Holistic Framework to Data-Driven Sustainability Assessment

et al. 2023

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In recent years, the Twin-Transition reference model has gained notoriety as one of the key options for decarbonizing the economy while adopting more sustainable models leveraged by the Industry 4.0 paradigm. In this regard, one of the most relevant challenges is the integration of data-driven approaches with sustainability assessment approaches, since overcoming this challenge will foster more agile sustainable development. Without disregarding the effort of academics and practitioners in the development of sustainability assessment approaches, the authors consider the need for holistic frameworks that also encourage continuous improvement in sustainable development. The main objective of this research is to propose a holistic framework that supports companies to assess sustainability performance effectively and more easily, supported by digital capabilities and data-driven concepts, while integrating improvement procedures and methodologies. To achieve this objective, the research is based on the analysis of published approaches, with special emphasis on the data-driven concepts supporting sustainability assessment and Lean Thinking methods. From these results, we identified and extracted the metrics, scopes, boundaries, and kinds of output for decision-making. A new holistic framework is described, and we have included a guide with the steps necessary for its adoption in a given company, thus helping to enhance sustainability while using data availability and data-analytics tools.

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Optimization techniques to support decision-making processes via MSM—an Industry 4.0 approach

Cited by 2 publications

References 3 publications

Template-Assisted Mechanosynthesis Leading to Benchmark Energy Efficiency and Sustainability in the Production of Bifunctional Fe–N–C Electrocatalysts

Template-Assisted Mechanosynthesis Leading to Benchmark Energy Efficiency and Sustainability in the Production of Bifunctional Fe–N–C Electrocatalysts

Holistic Framework to Data-Driven Sustainability Assessment

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