Towards sustainable production: a methodology to assess influences between life cycle phases in tool manufacturing

Grünebaum, Timm; Hermann, L.; Trauth, Daniel; Bergs, Thomas

doi:10.1016/j.procir.2019.01.001

Cited by 8 publications

(4 citation statements)

References 18 publications

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“…(2019) Development of a decision making framework for assessing the resources consumed and their environmental impacts during machining operation Life cycle assessment software tool. Grünebaum et al. (2019) Life cycle phases Exploratory Fourie and Tendayi (2016) A decision-making framework for effective maintenance management Life cycle costing Slapnik et al.…”

Section: Resultsmentioning

confidence: 99%

“…However, from a holistic point of view, the provision of energy for remediation will impact the environment negatively thereby promoting circulation between environment degradation and restoration. Grünebaum et al (2019) explained that companies around the globe are confronted with a shortage of critical raw materials. It is essential that these resources are used as efficiently as possible Dilip Jerold & Pradeep Kumar (2012).…”

Section: Discussion Of Findings On Life Cycle Inventory and Impact Assessmentmentioning

confidence: 99%

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Review of life cycle models for enhancing machine tools sustainability: lessons, trends and future directions

Daniyan

Mpofu

Ramatsetse

et al. 2021

Heliyon

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The life cycle models are critical in the assessment of the performance of a product from the design phase to its end of life (EoL). With the quest for manufacturing sustainability with respect to energy, process, material, and environment friendliness as well as the clamour for circular economy which emphasizes zero tolerance for waste, there is a need for a critical review of the life cycle of machine tool employed for machining operations and product development. The objective of this study is to evaluate the efficient way of managing the machine tools throughout its lifecycle. Several studies have been conducted in analysing the life cycle of the machine tools and different strategies were employed for its design, manufacture, use, maintenance and recovery at the end of life. The common approach to ensure environmental sustainability was established when comparing the literature studied. From the articles reviewed 60% applied life cycle assessment (LCA) methodology to reduce energy consumption and enhance environmental sustainability, while 40% employed other assessment tools. In this study an integrated life cycle and cyber physical machine tool model is proposed.

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Section: Resultsmentioning

confidence: 99%

Section: Discussion Of Findings On Life Cycle Inventory and Impact Assessmentmentioning

confidence: 99%

Review of life cycle models for enhancing machine tools sustainability: lessons, trends and future directions

Daniyan

Mpofu

Ramatsetse

et al. 2021

Heliyon

View full text Add to dashboard Cite

show abstract

“…Most LCAs are comparative studies, comparing different operating conditions [29][30][31] or cooling lubricant strategies [32][33][34][35][36][37][38][39][40], or comparing machining and additive manufacturing [41][42][43][44]. The non-comparative studies [45] focus on an environmental burden analysis of machining processes, [46] investigate the cross-life cycle phase influences in tool manufacturing, and [47] present a combined LCA hybrid model and real-time monitoring system.…”

Section: Lca Of Machining Processes 131 Applicationmentioning

confidence: 99%

Parameterized Modeling of the Energy Demand of Machining Processes as a Basis for Reusable Life Cycle Inventory Datasets

Zeulner,

Zeller,

Schebek

2023

Energies

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Manufacturing processes have a significant contribution to energy consumption and related greenhouse gas (GHG) emissions in a product’s life cycle. Today, information on GHG emissions is increasingly demanded from companies in a life cycle perspective, based on the methodology of Life Cycle Assessment. Manufacturing companies supply producers of final products and are, therefore, requested to provide data on GHG of their manufacturing processes and resulting products. Obtaining such data for real-world manufacturing processes represents a huge effort. This challenge can be overcome with the use of a parameterized model, the Extended Energy Modeling Approach (EEMA), that has been developed for the machining process, which is a widespread industrial manufacturing process. The model calculates the total energy demand from power key values, which report the average power consumption of the constant and variable units of the machinery equipment, the consumer groups, as well as the different operating states of the equipment. Therefore, EEMA enables the reuse of a single measurement campaign for follow-up investigations of the specific machine tool, thereby significantly improving the efficiency of data acquisition for the calculation of the total energy demand and life-cycle-based GHG emissions. To use EEMA for the compilation of life cycle inventory datasets, methodological requirements were analyzed to derive a procedure for LCA-compliant datasets for machine tools. The key findings of applying the EEMA for the case study of a turning machine show that the constant consumer groups have a significant influence on the total energy demand. The share of the variable consumer groups in the total energy demand increases with increasing machine utilization but is always below 5%.

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“…The first step of the methodology involves modeling the interdependencies between the process chain and the manufactured component. [34]. A binary representation of interdependencies is used within the MDM to account for the required detail of information in the methodology's next steps and the increasing effort involved in acquiring more detailed but not prerequisite information.…”

Section: Modeling the Established Manufacturing Process Chainmentioning

confidence: 99%

Methodology for the identification of alternative manufacturing changes for safety–critical components

Bergs

Hermann

Rey

et al. 2020

Prod. Eng. Res. Devel.

Self Cite

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A variety of factors are forcing companies to change their products and the components these products are composed of. Examples of current factors are changing customer requirements, product optimizations or ever-shorter product lifecycles. These component changes, particularly in safety-critical components in the medical and aerospace industry, pose great challenges and are limited in scope. The challenges and limitations arise from the high costs and the amount of time involved in component recertification as required by law, as well as revalidations of the manufacturing after a change has been implemented. Some component changes are even mandatory. In this case there are no options for reducing recertification efforts by choosing between different design changes. In contrast, there are alternative manufacturing options with which to implement the prescribed component changes that can reduce the amount of revalidation required on the manufacturing side. Due to the fact that changes to the manufacture of safety-critical components require validation, the existence of alternative manufacturing changes offers the potential to save time and money by selecting the best-suited alternative. In order to be able to select the best-suited alternative, all alternative manufacturing changes must be known, which poses a challenge for technology planners dealing with the complex manufacture of safety-critical components. Therefore, a methodology is introduced to support technology planners in identify alternative manufacturing changes with which to implement scope-restricted changes to safety-critical components. The methodology is validated by applying it to a case study from the medical industry.

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Towards sustainable production: a methodology to assess influences between life cycle phases in tool manufacturing

Cited by 8 publications

References 18 publications

Review of life cycle models for enhancing machine tools sustainability: lessons, trends and future directions

Review of life cycle models for enhancing machine tools sustainability: lessons, trends and future directions

Parameterized Modeling of the Energy Demand of Machining Processes as a Basis for Reusable Life Cycle Inventory Datasets

Methodology for the identification of alternative manufacturing changes for safety–critical components

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