Sustainable Manufacturing Analysis for Titanium Components

2011 ◽  
Author(s):  
Dane D. Eastlick ◽  
Misha V. Sahakian ◽  
Karl R. Haapala
Keyword(s):  
Life Cycle ◽  
Design For Manufacturing ◽  
Process Models ◽  
Assessment Tools ◽  
Strategic Decision ◽  
Process Data ◽  
Renewable Materials ◽  
Unit Process ◽  
Sustainable Products ◽  
Titanium Component

Product designers are seeking effective ways to meet customer requirements, government policies, and internal business drivers for sustainability. Sustainable products encompass attributes including recyclable and renewable materials use, low energy consumption, cost competitiveness, and consideration of safety and health concerns. Beyond product attributes, however, sustainable products are cognizant of a broader life cycle perspective, which necessitates consideration of manufacturing and supply chain issues during design. Current life cycle assessment tools are often deficient in assisting design for manufacturing efforts due to coarseness of available process data or even a lack of representative process models. In addition, such tools consider only the environmental impacts and do not account for broader sustainability measures. Research with a titanium component manufacturer is addressing these deficiencies. A unit process modeling-based method is described to assist in strategic decision making to balance cradle-to-gate economic, environmental, and social attributes. A set of metrics is defined and used as a basis for comparison of design alternatives. The method is demonstrated for analysis of titanium component alternatives resulting from design for manufacturing activities. It is shown that this method can assist engineers in developing more sustainable products.

Estimating Missing Unit Process Data in Life Cycle Assessment Using a Similarity-Based Approach

2018 ◽  
Vol 52 (9) ◽  
pp. 5259-5267 ◽  
Author(s):  
Ping Hou ◽  
Jiarui Cai ◽  
Shen Qu ◽  
Ming Xu
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Process Data ◽  
Unit Process

scholarly journals Sustainability Assessment and Agricultural Supply Chains Evidence-Based Multidimensional Analyses as Tools for Strategic Decision-Making—The Case of the Pineapple Supply Chain in Benin

2021 ◽  
Vol 13 (4) ◽  
pp. 2060
Author(s):  
Doriane Desclee ◽  
David Sohinto ◽  
Freddy Padonou
Keyword(s):  
Decision Making ◽  
Sustainable Development ◽  
Developing Countries ◽  
Supply Chains ◽  
Agricultural Sector ◽  
Sustainability Assessment ◽  
Assessment Tools ◽  
Strategic Decision ◽  
Evidence Based ◽  
Agricultural Supply

Contributing to Sustainable Development Goals and Agenda 2030 is a shared objective of all institutions and people. The challenges differ according to the characteristics of every context. In developing countries, strongly dependent on the agricultural sector, agricultural supply chains are recognized as crucial for economic growth and enablers for livelihood improvement. Moreover, sustainable development issues are correlated and can meet in agricultural supply chains. For several decades, parallel to decision-makers, the research community has elaborated sustainability assessment tools. Such tools evolved to fit with actuality, but it is challenging to find decision-making support tools for sustainable development adequate in agricultural supply chains and developing countries contexts. There is a necessity to define evidence-based tools and exhaustive analytical frameworks according to sustainability multidimensionality and strategical tradeoffs necessity. The VCA4D method aims to go beyond the limits of previous methods. It proposes a combination of multidisciplinary analytical tools applied empirically to analyze agricultural supply chains in their context. It provides evidence-based analytical results allowing to identify enablers for strategic sustainable and inclusive interventions. However, to even better meet contextual exhaustiveness’s expectations and indicators’ robustness to lead to relevant interventions, we should insist on a stricter framing of contextual data collection processes.

scholarly journals Comparative Life Cycle Impact Assessment between the Productions of Zinc from Conventional Concentrates Versus Waelz Oxides Obtained from Slags

2021 ◽  
Vol 13 (2) ◽  
pp. 580
Author(s):  
Voicu-Teodor Muica ◽  
Alexandru Ozunu ◽  
Zoltàn Török
Keyword(s):  
Life Cycle ◽  
Impact Assessment ◽  
Life Cycle Impact Assessment ◽  
Fine Tuning ◽  
Process Data ◽  
Medicinal Uses ◽  
Zinc Metal ◽  
Real Process ◽  
Life Cycle Impact

(1) Background: The importance of Zinc in today’s world can hardly be exaggerated—from anticorrosion properties, to its durability, aesthetic, and even medicinal uses—zinc is ever-present in our daily lives ever since its discovery in ancient times. The natural, essential, durable, and recyclable features of zinc make it a prized material with uses in many applications across a wide array of fields. The purpose of this study was to compare two life cycle impact assessments of zinc production by using two different main raw materials: (A) zinc concentrates (sulfide ore) and (B) Waelz oxides (obtained through recycling existing imperial smelting process furnace slags). The Waelz oxide scenario was based on a case study regarding the existing slag deposit located in Copsa Mica town, Sibiu county, Romania. (2) Methods: consequential life cycle impact assessment methods were applied to each built system, with real process data obtained from the case study enterprise. (3) Results: Overall, the use of slags in the Waelz kiln to produce zinc oxides for use in the production of zinc metal is beneficial to the environment in some areas (acidification, water, and terrestrial eutrophication), whereas in other areas it has a slightly larger impact (climate change, photochemical ozone formation, and ozone depletion). (4) Conclusions: The use of slags (considered a waste) is encouraged to produce zinc metal, where available. The results are not absolute, suggesting the further need for fine-tuning the input data and other process parameters.

scholarly journals Perancangan Data Warehouse Untuk Informasi Strategi Studi Kasus Penerimaan Siswa Baru STIE Binaniaga Bogor

2020 ◽  
Vol 6 (1) ◽  
pp. 111-120
Author(s):  
Rahmat Tri Yunandar ◽  
Amir Amir ◽  
Khairul Rizal
Keyword(s):  
Decision Making ◽  
Data Warehouse ◽  
Strategic Decision ◽  
Educational Institutions ◽  
Decision Making Process ◽  
Process Data ◽  
Strategic Information ◽  
Business Context ◽  
Final Goal ◽  
Operational Activities

As an Educational institutions need to have more knowledge, in evaluating, designing and making decisions. Where from such knowledge can be obtained from the data stored in the operational activities of educational institutions databases into the data warehose, so it can be used as a support in the decision making process. Data Warehouse has a major role in the provision of strategic information that can be used to meet the needs of management in a business context. This study examines the development of the data warehouse to the data of new admissions to the STIE Binaniaga Bogor, which can dig up important information that can help retrieval strategic decision to support promotional activities at the STIE Binaniaga Bogor. The final goal of this study was to produce a design of a data warehouse that can support the needs of management in making decisions by providing strategic information on new admissions, which produces a summary of information that is accurate and useful as input to determine strategies for promotion.

The use of life cycle assessment for evaluating the sustainability of the Amsterdam water cycle

2013 ◽  
Vol 4 (2) ◽  
pp. 103-109 ◽  
Author(s):  
E. Klaversma ◽  
A. W. C. van der Helm ◽  
J. W. N. M. Kappelhof
Keyword(s):  
Drinking Water ◽  
Life Cycle Assessment ◽  
Life Cycle ◽  
Environmental Impact ◽  
Water Distribution ◽  
Water Cycle ◽  
Phosphate Removal ◽  
Process Data ◽  
Intergovernmental Panel ◽  
The Impact

Waternet, the water cycle company of Amsterdam and surrounding areas, uses the life cycle assessment (LCA) method to evaluate the environmental impact of investment decisions and to determine the potential reduction of direct and indirect greenhouse gas (GHG) emissions of different alternatives. This approach enables Waternet to fulfil its corporate objective to improve sustainability and to become climate neutral by 2020. Three example studies that give a good overview of the use of LCAs at Waternet and problems encountered are discussed: phosphate removal and recovery from wastewater, pH correction of drinking water with carbon dioxide (CO2) and materials for drinking water distribution pipes. The environmental impact assessments were performed in SimaPro 7 using the ReCiPe method and the Intergovernmental Panel on Climate Change Global Warming Potential (IPCC GWP) 100a method. The Ecoinvent 2.0 and 2.2 databases were used for the material and process data. From the examples described, it can be concluded that only the phosphate removal case had a significant effect on the climate footprint. The article discusses applications and limitations of the LCA technique. The most important limitation is that the impact of water consumption and the possible impact of effluent compounds to surface water are not considered within the used methods.

Dicussions and Conclusion

2016 ◽  
pp. 341-354
Keyword(s):  
Developing Countries ◽  
Life Cycle Assessment ◽  
Life Cycle ◽  
Construction Projects ◽  
A Priori ◽  
Holistic Approach ◽  
Developed Countries ◽  
Assessment Tools ◽  
Future Challenge ◽  
Efficient Delivery

The rationale for this publication emanated from the challenges facing the efficient delivery of construction projects in developing countries. Although, some aspects of the book focus on key applications in Cameroon, a holistic approach was adopted where an overview of challenges related to construction for developing countries was considered. To re-focus issues addressed in this book, this last Chapter provides a summary of what has been covered in each Chapter. Also, major achievements and challenges will be discussed. Nevertheless a construction matter can not be seriously handled today without taking into account environmental issues. For this reason, we will say just a few words about environment. Indeed, wherever infrastructures in general and buildings in particular through production and emission of toxic matters and gas have harmful consequences on the environment. They must be assessed and monitored to reduce the risk of pollution. Among many environmental assessment methods, life cycle assessment (LCA) seems to be the most suitable. Wherever, it involves a lot of data and must be handling with a lot of caution. The life cycle assessment tools used in developed countries is not suitable in developing countries context. It should be benefit for them to develop a simple and suitable methodology easy to manage, in order to propose an environmental impacts measurement of construction projects' and buildings. The High Environmental Quality, which a priori ensures minimized environmental impact and promotes the principles of sustainable development, is the solution that seems best suited for the design of many social infrastructures projected in developing countries. This is going to be for them the future challenge for the next decades.

Knowledge Discovery Process Models

2012 ◽  
pp. 72-100 ◽  
Author(s):  
Mouhib Alnoukari ◽  
Asim El Sheikh
Keyword(s):  
Life Cycle ◽  
Knowledge Discovery ◽  
Process Model ◽  
Common Factor ◽  
Final Outcome ◽  
Process Models ◽  
Data Driven ◽  
Discovery Process ◽  
The Common ◽  
Discovery Process Models

Knowledge Discovery (KD) process model was first discussed in 1989. Different models were suggested starting with Fayyad’s et al (1996) process model. The common factor of all data-driven discovery process is that knowledge is the final outcome of this process. In this chapter, the authors will analyze most of the KD process models suggested in the literature. The chapter will have a detailed discussion on the KD process models that have innovative life cycle steps. It will propose a categorization of the existing KD models. The chapter deeply analyzes the strengths and weaknesses of the leading KD process models, with the supported commercial systems and reported applications, and their matrix characteristics.

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