Product Life Cycle Economic Models — Towards a Comprehensive Framework for Evaluation of Environmental Impact and Competitive Advantage

CIRP Annals ◽  
1991 ◽  
Vol 40 (1) ◽  
pp. 463-466 ◽  
Author(s):  
V.A. Tipnis
Author(s):  
Durgham Ahmed Abdul Ridha ◽  
Prof Dr Manal Jabbar Soror

The principal objective of this study is to demonstrate how green quality management and product life cycle costing may help an organization gain a competitive advantage. Green quality management's influence on increasing product quality and meeting environmental criteria, as well as tracking the activities of product life cycle before, during, and after production, is demonstrated. Orienting these activities toward the production of eco-friendly products that fulfill the needs of customers, hence increasing organization's market share. We found from our study that proposed framework can help organizations improve their competitiveness. Green quality management contributes to environmental protection and the provision of high-quality products that fulfill needs and desires of green customer, enhancing product differentiation. Product life cycle costing is to determine costs of environmental activities and seek to minimize those costs, which translates to lower product costs, allowing organization to adopt a cost leadership strategy and gain a competitive advantage.


2010 ◽  
Vol 132 (9) ◽  
Author(s):  
Srinivas Kota ◽  
Amaresh Chakrabarti

Life cycle assessment (LCA) is used to estimate a product’s environmental impact. Using LCA during the earlier stages of design may produce erroneous results since information available on the product’s lifecycle is typically incomplete at these stages. The resulting uncertainty must be accounted for in the decision-making process. This paper proposes a method for estimating the environmental impact of a product’s life cycle and the associated degree of uncertainty of that impact using information generated during the design process. Total impact is estimated based on aggregation of individual product life cycle processes impacts. Uncertainty estimation is based on assessing the mismatch between the information required and the information available about the product life cycle in each uncertainty category, as well as their integration. The method is evaluated using pre-defined scenarios with varying uncertainty.


2010 ◽  
Vol 2 (1) ◽  
pp. 30 ◽  
Author(s):  
Suphunnika Manmek ◽  
Hartmut Kaebernick ◽  
Sami Kara

2018 ◽  
Vol 78 ◽  
pp. 29-41
Author(s):  
Arkadiusz Kawa ◽  
Marcin Anholcer

The ever-shorter product life cycle, mass customization of production and constant pressure to reduce costs have a significant impact on the operating activity of modern companies, including logistics service providers. In order to achieve market success, they have to look for new sources of gaining or maintaining the competitive advantage. One of such sources are resources that relate to both the material and immaterial realms. The article assumes that intangible assets are the main source of competitive advantage. The aim of the paper is to identify the intangible assets and determine their impact on the competitive advantage of logistics service providers.


2017 ◽  
Vol 25 (4) ◽  
pp. 255-261
Author(s):  
Andrzej Marcinkowski ◽  
Krzysztof Zych

AbstractThe main objective of this paper is to compare the environmental impact caused by two different types of water boiling processes. The aim was achieved thanks to product life cycle assessment (LCA) conducted for stovetop and electric kettles. A literature review was carried out. A research model was worked out on the basis of data available in literature as well as additional experiments. In order to have a better opportunity to compare LCA results with reviewed literature, eco-indicator 99 assessment method was chosen. The functional unit included production, usage and waste disposal of each product (according to from cradle to grave approach) where the main function is boiling 3360 l of water during 4-year period of time. A very detailed life cycle inventory was carried out. The mass of components was determined with accuracy of three decimal places (0.001 g). The majority of environmental impact is caused by electricity or natural gas consumption during usage stage: 92% in case of the electric and kettle and 99% in case of stovetop one. Assembly stage contributed in 7% and 0.8% respectively. Uncertainty and sensitivity analyses took into consideration various waste scenario patterns as well as demand for transport. Environmental impact turned out to be strongly sensitive to a chosen pattern of energy delivery (electricity mix) which determined final comparison results. Basing on LCA results, some improvements of products were suggested. The boiling time optimization was pointed out for electric kettle's efficiency improvement. Obtained results can be used by manufacturers in order to improve their eco-effectiveness. Moreover, conclusions following the research part can influence the future choices of home appliances users.


Author(s):  
Enoch Zhao ◽  
Paul D Walker ◽  
Nic C Surawski

This paper applies a case study approach for Australia and calculates the equipment life cycle assessment of diesel, hybrid and electric buses. This study prepared the assessment according to the procedures and methodologies outlined in the ISO 14040:2006 Environmental Management – Life Cycle Assessment. The authors have chosen three bus models currently in service in the Australian bus fleet to serve as a baseline model for comparison. The amount of greenhouse gas emissions were calculated from the production, assembly, transportation, maintenance and disposal phases. The results in this study show that the electric bus has a higher total environmental impact than the diesel and hybrid bus, mainly due to the manufacturing of the lithium-ion battery. The results also show that the electric bus has a higher environmental impact than the diesel and hybrid bus (18.2% and 14.7% higher, respectively), albeit specific to the product life cycle and without including operation emissions. However, there are many opportunities to reduce product life cycle emissions, such as improvement in manufacturing efficiency, developing new battery technology and production in regions with low carbon-intense grid-mixes.


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