Energy Loss Analysis using Value Stream Mapping (VSM): a Power Plant Case Study

Arifin, Wahyu Isa; Vanany, Iwan

doi:10.1109/ieeeconf48524.2019.9102541

Cited by 1 publication

(2 citation statements)

References 9 publications

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“…All these studies used sustainable VSM to make manufacturing systems lean and sustainable. This work differs from the work of [6] which used energy and enthalpy to reduce energy loss in a power plant. It also differs from the work reported in [54] in the sense that they used entropy in operation-logistics systems to find the operational efficiency.…”

Section: Resultsmentioning

confidence: 97%

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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: Resultsmentioning

confidence: 97%

“…VSM is presented in combination with energy loss equations and heat energy rate analysis to reduce energy loss in a power plant [6]. Environmental VSM is used in lean manufacturing work at Volvo [34].…”

Section: Value Stream Mapping (Vsm) and Energy Vsmmentioning

confidence: 99%