Operation Model for Green Manufacturing in the Electronic Industry

2008 ◽  
Vol 392-394 ◽  
pp. 13-17
Author(s):  
Cong Bo Li ◽  
Fei Liu ◽  
Cai Zhen Li ◽  
Qiu Lian Wang
Keyword(s):  
Supply Chain ◽  
Product Life Cycle ◽  
Material Selection ◽  
Raw Materials ◽  
Green Manufacturing ◽  
Manufacturing Plants ◽  
Soldering Process ◽  
Design Production ◽  
Enterprise Level ◽  
Product Disassembly

To help electronic manufacturers implement their green manufacturing (GM) strategies more friendly to environment and more effectively in saving resources, an operational GM model is proposed based on systematical analyses of each stage of the electronic product life cycle including material selection, design, production, use, end-of-life product disassembly and recycling, etc. This model consists of three levels-supply chain, enterprise and workshop and each level deals with different issues. Supply chain level focuses on manufacturing plants and remanufacturing plants based on the analysis of the whole supply chain-raw materials supply, production and marketing, etc. Enterprise level consists of GM implementation motivation, enterprise strategies, system implementation, supporting elements such as information systems. Based on analysis of the main resources and environment problems, workshop level mainly includes green manufacturing process such as lead-free soldering, process improvement, process monitoring and data acquisition, etc.

Improving the Supply Chain (SC) Stream with Green Product Design (GPD) Strategy

2016 ◽  
pp. 36-60
Author(s):  
Rodrigo Villanueva ◽  
Emilio Jimenez-Macias ◽  
Julio Blanco-Fernandez
Keyword(s):  
Supply Chain ◽  
Product Design ◽  
End Of Life ◽  
Product Life Cycle ◽  
Material Selection ◽  
Raw Material ◽  
Green Product ◽  
Material Transportation ◽  
Green Product Design ◽  
The Way

The current Supply Chain (SC) is under change. The traditional way to generate a product contained the following stages: product design, raw material selection, material transportation, manufacturability, distribution and disposition at end of life. Product design for instance, is considered an extremely important stage of a product, being that, it directs the way the product can potentially be managed along the SC. It defines the raw material to be used, the possible supplier to select, the industrial processes involved in its fabrication, the packaging for its transportation and the newest stage where the product reaches its end of life and needs to be disposed. The Product design then becomes Green Product Design (GPD), where energy, time, resources become critical for a company. GPD takes into account the whole product life cycle. This chapter presents the importance of having a GPD process into the SC, the way to incorporate it, and the benefits of implementing it into the SC.

Improving the Supply Chain (SC) Stream With Green Product Design (GPD) Strategy

2019 ◽  
pp. 859-883
Author(s):  
Rodrigo Villanueva ◽  
Emilio Jimenez-Macias ◽  
Julio Blanco-Fernandez
Keyword(s):  
Supply Chain ◽  
Product Design ◽  
End Of Life ◽  
Product Life Cycle ◽  
Material Selection ◽  
Raw Material ◽  
Green Product ◽  
Material Transportation ◽  
Green Product Design ◽  
The Way

The current Supply Chain (SC) is under change. The traditional way to generate a product contained the following stages: product design, raw material selection, material transportation, manufacturability, distribution and disposition at end of life. Product design for instance, is considered an extremely important stage of a product, being that, it directs the way the product can potentially be managed along the SC. It defines the raw material to be used, the possible supplier to select, the industrial processes involved in its fabrication, the packaging for its transportation and the newest stage where the product reaches its end of life and needs to be disposed. The Product design then becomes Green Product Design (GPD), where energy, time, resources become critical for a company. GPD takes into account the whole product life cycle. This chapter presents the importance of having a GPD process into the SC, the way to incorporate it, and the benefits of implementing it into the SC.

Research on Green Manufacturing Model for Circular Economy

2012 ◽  
Vol 201-202 ◽  
pp. 967-970 ◽  
Author(s):  
Jia Qi Rong ◽  
Li Ling
Keyword(s):  
Circular Economy ◽  
Product Life Cycle ◽  
Manufacturing Industry ◽  
Green Manufacturing ◽  
Production Costs ◽  
Human Society ◽  
Core Competitiveness ◽  
The Sustainable Development ◽  
Recycling Economy ◽  
Design Production

Green Manufacturing and Recycling Economy is the basis for the sustainable development of human society, is also the direction for the future development of manufacturing industry. This article describes the concept of Green Manufacturing and Recycling Economy, analyses the work of Green Manufacturing processes, from product design, production, recycling-oriented three-pronged explained, and presents three suggestions of Green Manufacturing for circular economy, including extending the product life cycle, establishing enterprise's return goods processing center and strengthening cooperation with relevant manufacturers. Through these methods can enable enterprises to achieve the recycling of materials and energy, and enable enterprises to reduce production costs, improve core competitiveness.

Research on Green Manufacturing-Oriented Packaging Design Technology

2013 ◽  
Vol 734-737 ◽  
pp. 2770-2773
Author(s):  
Wei Xu ◽  
Zhao Ming Liu
Keyword(s):  
Design Process ◽  
Product Life Cycle ◽  
Material Selection ◽  
Green Manufacturing ◽  
Raw Material ◽  
Packaging Materials ◽  
Product Packaging ◽  
Packaging Design ◽  
Green Packaging ◽  
Raw Material Selection

This paper research the features of green packaging design, and the priority sequence and principles to follow during product design process. Taking the whole product life cycle into consideration , the research endeavors to make the actual product packaging design process, from raw material selection, the production, use, recovery of packaging materials, to waste processing, meet the requirements of environmental protection and human health, so that the rate of reusing waste packaging materials could be greatly increased, and the direct or indirect environmental pollution will be reduced or even eliminated after the packaging materials are abandoned.

A bibliometric analysis of green manufacturing and similar frameworks

2015 ◽  
Vol 26 (4) ◽  
pp. 566-587 ◽  
Author(s):  
Kuldip Singh Sangwan ◽  
Varinder Kumar Mittal
Keyword(s):  
Supply Chain ◽  
Life Cycle ◽  
Product Life Cycle ◽  
Pollution Prevention ◽  
Triple Bottom Line ◽  
Green Manufacturing ◽  
Bottom Line ◽  
Content Type ◽  
Life Cycle Engineering ◽  
Clean Manufacturing

Purpose – The purpose of this paper is to review the green manufacturing and similar frameworks in order to trace the origin, definitions, scope, similarities, differences, and publications of these manufacturing frameworks. Design/methodology/approach – A review of 113 research articles is conducted for various terms, namely, green manufacturing (GM); environmentally conscious manufacturing; environmentally responsible manufacturing; environmentally benign manufacturing; sustainable manufacturing; clean manufacturing; cleaner production; sustainable production with reference to triple bottom line, product life cycle engineering, systems approach, resource and energy efficiency, supply chain, pollution prevention and closed loop system/6R. Findings – It can be said with reasonable confidence that all these eight frameworks have been used interchangeably by researchers but it requires some standardization. It has been observed during literature review that to standardize the terminology researchers have to clear emphatically in their research the use of various life cycle engineering approach; clarity on the end-of-life strategies used; clarity in use of various components of triple bottom line perspectives; inclusion of the whole supply chain and integration of environmental improvement strategies with the business strategy. Research limitations/implications – The literature reviewed for the study is the literature available online using Google scholar. Originality/value – This is one of the first known studies to review the GM and similar frameworks for their origin, definition, scope, similarities, and differences.

Classification of Operational and Financial Variables Affecting the Bullwhip Effect in Indian Sectors: A Machine Learning Approach

2019 ◽  
Vol 12 (3) ◽  
pp. 171-179 ◽  
Author(s):  
Sachin Gupta ◽  
Anurag Saxena
Keyword(s):  
Machine Learning ◽  
Data Mining ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Product Life Cycle ◽  
Consumer Preference ◽  
Bullwhip Effect ◽  
Machine Learning Techniques ◽  
Chain Management ◽  
Financial Variables

Background: The increased variability in production or procurement with respect to less increase of variability in demand or sales is considered as bullwhip effect. Bullwhip effect is considered as an encumbrance in optimization of supply chain as it causes inadequacy in the supply chain. Various operations and supply chain management consultants, managers and researchers are doing a rigorous study to find the causes behind the dynamic nature of the supply chain management and have listed shorter product life cycle, change in technology, change in consumer preference and era of globalization, to name a few. Most of the literature that explored bullwhip effect is found to be based on simulations and mathematical models. Exploring bullwhip effect using machine learning is the novel approach of the present study. Methods: Present study explores the operational and financial variables affecting the bullwhip effect on the basis of secondary data. Data mining and machine learning techniques are used to explore the variables affecting bullwhip effect in Indian sectors. Rapid Miner tool has been used for data mining and 10-fold cross validation has been performed. Weka Alternating Decision Tree (w-ADT) has been built for decision makers to mitigate bullwhip effect after the classification. Results: Out of the 19 selected variables affecting bullwhip effect 7 variables have been selected which have highest accuracy level with minimum deviation. Conclusion: Classification technique using machine learning provides an effective tool and techniques to explore bullwhip effect in supply chain management.

scholarly journals Future availability of raw materials for salmon feeds and supply chain implications: The case of Scottish farmed salmon

Aquaculture ◽  
2017 ◽  
Vol 467 ◽  
pp. 49-62 ◽  
Author(s):  
C. Jonathan Shepherd ◽  
Oscar Monroig ◽  
Douglas R. Tocher
Keyword(s):  
Supply Chain ◽  
Raw Materials ◽  
Farmed Salmon
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