A new approach to integrate value stream analysis into a continuous energy efficiency improvement process

Drechsel, Michael; Bornschlegl, Martin; Spreng, Simon; Bregulla, Markus; Franke, Jörg

doi:10.1109/iecon.2013.6700382

Cited by 7 publications

(3 citation statements)

References 11 publications

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“…To avoid this, Muller et al [37] in their energy VSM (EVSM), evaluated time and energy inputs simultaneously to optimize value-streams including the transportation processes which are essential parts of supply chains. The incorporation of transport into energy VSM demonstrates the impact of prolonging lead time as a way of adding value to energy consumption [20]. When the output cycle is analysed, it reveals that during the full cycle there is a trend of energy consumption depending on the state of the machine.…”

Section: Value Stream Mapping (Vsm) and Energy Vsmmentioning

confidence: 99%

Entropy-Based Lean, Energy and Six Sigma Approach to Achieve Sustainability in Manufacturing System

Verma¹,

Sharma

Badar

2021

Arab J Sci Eng

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This work proposes a Value Stream Mapping (VSM) to be used in manufacturing industry that combines Lean, Energy and Six-Sigma methodologies. Lean's VSM tool is amended to energy VSM so that the value-added and non-valueadded approach can be used to determine the energy use and waste. In order to identify the maximum rejection or rework at a workstation, an entropy-based mathematical model is developed and a Lean-Energy-Six Sigma Value Stream Mapping (LESSVSM) is presented. The model can be used in manufacturing at product level where temperature and energy can be measured from input to output. The model has been implemented on a manufacturing system containing four workstations. The proposed LESSVSM model will help to industry to become more sustainable as it can minimize energy and waste in the case of rework and rejection. This study presents a systematic approach which researchers and practitioners can apply for sustainable manufacturing.

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Section: Value Stream Mapping (Vsm) and Energy Vsmmentioning

confidence: 99%

Entropy-Based Lean, Energy and Six Sigma Approach to Achieve Sustainability in Manufacturing System

Verma¹,

Sharma

Badar

2021

Arab J Sci Eng

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“…Drechsel et al [13] draw the first steps towards the development of an Energy Value Stream Analysis (EVSA), a new approach extending Value Stream Mapping (VSM), a technique for lean manufacturing, developed to support the identification of productive and non-productive usage of manufacturing resources, for a holistic analysis of energy productivity. The contribution describes how to integrate the EVSA in a Continuous Improvement Process (CIP) in which energy saving potentials are identified by a team involving managers/experts of the various production process steps under analysis.…”

Section: Related Workmentioning

confidence: 99%

Investigating Lean Methodology for Energy Efficient Manufacturing

Bush

Palasciano

Staudacher

et al. 2014

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

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Due to the growing globalization and the increasing interest in environmental concerns, together with the changing legal and regulations landscape, manufacturers need to change their approach to competition, enhancing their knowledge of the manufacturing systems and of the network of interconnections among physical flows and management and control information flows, while developing systemic methodologies that enable waste reduction of manufacturing resources usage (such as energy). Furthermore, companies are increasingly involved in managing the environment as an opportunity for competitive advantage, which establishes the need to highlight the relationships between environmental impact of their processes and company strategy and objectives. This paper presents a proposal for a lean methodology, called Transformation Distribution and Utilization (namely, T.D.U.) methodology, which allows future factories to identify Value Added energy usage, paving the way to activities that can reduce the related inefficiencies and wastes. The T.D.U. methodology has been tested in real company, MorseTEC Europe, a supplier of systems for European car manufacturers.

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“…• Increasing energy costs [4,5] • Increasing energy demand and therefore higher CO 2 emissions [6,7] • Limited supply of fossil fuels/ scarcity of resources [8,9] • Stringent laws & legal requirements concerning energy efficiency or CO 2 emissions [10,11] • Methods for increasing the energy efficiency in industrial processes [12,13] • Increasing importance of Life Cycle Assessment (LCA) [14,15] All these trends show the increasing importance of considering the energy consumption of manufacturing technology at an early planning stage. However, each company or division has different framework, thus it is necessary to develop a standardized approach that supports the production planner in designing energy-optimized production equipment.…”

Section: Introductionmentioning

confidence: 99%

Energy Planning of Manufacturing Systems with Methods-Energy Measurement (MEM) and Multi-Domain Simulation Approach

Bornschlegl

Paryanto

Spahr

et al. 2014

AMM

Self Cite

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Energy costs play a decisive role in the operation costs of automotive production companies. Therefore, energy planning in an early conception and planning stage becomes an important topic. This is because the early conception and planning stage has the greatest potential to influence the energy consumption of manufacturing technologies since about 70-80 % of the energy costs are committed during this stage. However, lifetime cost and specifically energy consumption are currently not a determining factor at this stage. The reason is that the prediction of energy costs for complex manufacturing systems are challenging. Previous research approaches in the area of energy planning are limited to detailed planned production. A standardized approach to determine the energy consumption rates at an early stage does not exist. In this context, the EffiPLAS project has therefore proposed to solve this challenge. The aim of this project is to develop a Methods-Energy Measurement approach with elementary energy elements to support the planning process at an early stage, and to develop a modular simulation model for calculating the energy consumption of industrial robots, which complements the energy prediction. In this paper, the basic concept of elementary energy units and their value determination techniques is presented, and the simulation model is outlined. The developed approach will help to predict the prospective energy consumption of complex production equipment so that energy costs can be accounted for in an improved manner within a life-cycle costing comparative analyses.

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A new approach to integrate value stream analysis into a continuous energy efficiency improvement process

Cited by 7 publications

References 11 publications

Entropy-Based Lean, Energy and Six Sigma Approach to Achieve Sustainability in Manufacturing System

Entropy-Based Lean, Energy and Six Sigma Approach to Achieve Sustainability in Manufacturing System

Investigating Lean Methodology for Energy Efficient Manufacturing

Energy Planning of Manufacturing Systems with Methods-Energy Measurement (MEM) and Multi-Domain Simulation Approach

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