Preference Aggregation in Lifecycle Decision Making

2016 ◽  
Author(s):  
Sara Naranjo ◽  
Vidya Patil ◽  
Vijitashwa Pandey
Keyword(s):  
Decision Making ◽  
Environmental Impact ◽  
New Technology ◽  
Preference Aggregation ◽  
Environmentally Conscious ◽  
Customer Preferences ◽  
Take Back ◽  
And Performance ◽  
Viable Model ◽  
Proper Analysis

Rapid innovations in technology lead customers to frequently upgrade to new products. Their current products, now obsolete in terms of technology, aesthetic features and performance, leave behind an ecological footprint that is harmful to the environment. Product take-back systems and remanufacturing methods that promise to minimize the environmental impact are gaining attention among researchers and practitioners in the manufacturing field. A common objective is to find the best option for end of lifecycle (EOL) decisions on whether a product and the components comprising it should be reused, recycled, remanufactured, or disposed. These decisions must entail proper analysis while taking into account customer preferences, which can vary considerably from customer to customer. Mass customization, considered a plausible solution for this problem, is not viable model for many products. In this paper, therefore, we approach this problem from a preference aggregation perspective, particularly, the benevolent dictator model. Using this understanding of aggregated preferences, we address the take-back and possible remanufacturing of products. Once collected, it is questioned whether efficiency enhancing new technology or features should be added in take-back products to improve its performance or add any value. If that is the case, will these remanufactured products, with new technology or features, help in cost-effectively reducing the lifecycle environmental impact of the product, compared to a remanufactured product with original specifications? A home HVAC system was selected to exemplify the design and reuse problem, and show the benefit of favoring environmentally conscious customers in lifecycle decision making.

scholarly journals Mitigating Uncertainties in Decision Making in Early Phases of RFID Implementation

2018 ◽  
Vol 1 (1) ◽  
pp. 433-441
Author(s):  
Bartlomiej Gładysz
Keyword(s):  
Decision Making ◽  
Radio Frequency Identification ◽  
New Technology ◽  
Rfid Technology ◽  
Decision Making Processes ◽  
Frequency Identification ◽  
Multiple Case ◽  
Multiple Case Studies ◽  
And Performance ◽  
Early Phases

Abstract Radio Frequency Identification (RFID) is still a relatively new technology for many manufacturing and logistics companies. These companies experience uncertainties about RFID implementation, so they take steps to mitigate them. This article presents multiple case studies to design a conceptual framework to mitigate such barriers. The goal of this research was to test propositions that companies: often are not convinced about the maturity and performance of RFID technology; perform typical actions to test uncertainties; and need proof of the benefits of RFID technology before implementation. It was demonstrated that companies conduct proof of RFID technology activities (demonstrations and reference visits) to test RFID performance. These are required to test the technology in operation. Conclusions of this research may serve RFID systems providers and end users of technology by facilitating a better understanding of decision making processes during early phases of RFID implementation.

scholarly journals Framework for the Packaging Supply Chain of an Automotive Engine Company

2016 ◽  
Vol 9 (3) ◽  
pp. 191 ◽  
Author(s):  
K Vöröskői ◽  
P Böröcz
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Automotive Industry ◽  
Environmentally Conscious ◽  
Automotive Engine ◽  
Automotive Engines ◽  
Take Back ◽  
Network Process ◽  
The Cost ◽  
Industrial Groups

Automotive industrial groups consider the impacts of packaging very important, mainly focusing on the cost effectiveness and environmentally conscious nature thereof. In the literature, the packaging supply chain is not a significantly researched area as regards the supply of the complete automotive engines. But the selection of packaging and the relevant development process in engine production are among the main elements of the extensive automotive industry, because participants sometimes have the same interests and considerations. This way, decision-making and strategies on using different packaging solutions and systems can be very varied. The reason is that each automotive group practically produces its own engines and transports them to their assembling subsidiaries all over the world. These groups often apply similar logistics policies and supply systems to use, take-back and recover their packaging. This is being driven as much by group strategies as it is by the need to reduce costs and increase efficiency in supply chains. The focus of this paper will be on the components and elements of packaging supply chain management in the field of engine supply for automotive industry groups, and on how the decision-making framework is determined. This paper shows models defining the network process for decision-making within the automotive groups as regards the packaging supply chain.

scholarly journals STRATEGIC DECISION-MAKING SPEED IN NEW TECHNOLOGY BASED FIRMS

2015 ◽  
Vol 12 (2) ◽  
pp. 130 ◽  
Author(s):  
Héctor Montiel Campos ◽  
Francesc Solé Parellada ◽  
Francisco Alfonso Aguilar Valenzuela ◽  
Alejandro Magos Rubio
Keyword(s):  
Decision Making ◽  
New Technology ◽  
Personal Characteristics ◽  
Business Environment ◽  
Strategic Decision ◽  
Strategic Decision Making ◽  
Strategic Choices ◽  
New Technology Based Firms ◽  
And Performance ◽  
Decision Speed

New Technology Based Firms (NTBF) operate in high-velocity environments that make considerable demands about the speed of strategic choices. This study draws upon strategic decision-making and organization theories to propose that strategic decision making speed mediates the relation between personal, organizational and environmental factors and performance. Hypotheses were theoretically developed and tested with data from an empirical investigation of Mexican NTBF. Measures of personal characteristics, organization structure, business environment, strategic decision speed and performance were collected from 103 Technology Founder Managers at the end of 2012. The results confirmed that strategic decision making speed influences the performance of NTBF and mediates the relation of uncertainty, CEO model, dynamism and hostility with firm performance.

Autonomous Waste Characterization in Environmentally Conscious Decision Making

2017 ◽  
Author(s):  
Kevin Weinert ◽  
Vijitashwa Pandey ◽  
Sara Naranjo Corona ◽  
Aleksander Danielewski
Keyword(s):  
Decision Making ◽  
Autonomous Systems ◽  
The United States ◽  
Design Decision ◽  
Environmental Legislation ◽  
Environmentally Conscious ◽  
Electronic Products ◽  
Human Ability ◽  
Take Back ◽  
Collection Practices

Product take-back and reuse is an effective way to reduce the environmental footprint of products. Millions of tons of waste are disposed in landfills in the United States, electronic products being of particular concern. While constituting a small fraction of landfilled waste, electronic components account for a majority of the environmental impact. The major challenge in addressing this issue is that the components are functionally obsolete and in a state where their numbers and type are not known. Even with concerted efforts to solve this problem through better design or collection practices, a major unknown is how much actually falls through the cracks and makes it to landfills. Human sorting and identification is impractical, while automating this process has been difficult because of limitations of algorithms to match human ability to discern objects. Deep learning promises to change this. This paper discusses the use of autonomous systems that can scan unorganized heaps of products to identify and catalog components, particularly electronics. This approach can fill an important gap in our knowledge. This paper discusses the testbeds created by the authors which shows promise in accomplishing this task. The paper also discusses the repercussions of such a study and cataloging on design decision-making as well as environmental legislation.

Designer’s Intuitive Ratings of Sustainability

2016 ◽  
Author(s):  
Cassandra Telenko ◽  
Kristin Wood
Keyword(s):  
Decision Making ◽  
Life Cycle ◽  
Environmental Impact ◽  
Life Cycle Analysis ◽  
Early Stage ◽  
Environmentally Conscious ◽  
Change Perception ◽  
Product Concepts

Life cycle analysis (LCA) is often used to compare the sustainability of product concepts, but how our intuition factors into analysis and innovation is rarely considered. Intuitive evaluations of sustainability by designers not only help scope LCAs, but can be a dominant force in early stage decision making and concept creation. To elicit intuitive responses from experts, eight environmentally conscious products were presented to 22 designers as part of a professional workshop survey. Participants rated their own experience in design and sustainability and rated the sustainability and innovativeness of each product from low to high. These ratings are compared with available LCAs and environmental impact information. The results indicate that self-perceived expertise in sustainability does not significantly change perception of the sustainability of products and that sustainability ratings and innovativeness ratings were moderately correlated.

Blockchain in Supply Chain: Case Study of Lottemart Ciputat

2019 ◽  
Vol 5 (1) ◽  
pp. 38-49 ◽  
Author(s):  
B. K. Handoyo ◽  
M. R. Mashudi ◽  
H. P. Ipung
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Information Asymmetry ◽  
New Technology ◽  
Business Case ◽  
Analysis Method ◽  
Chain Management ◽  
Production Processes

Current supply chain methods are having difficulties in resolving problems arising from the lack of trust in supply chains. The root reason lies in two challenges brought to the traditional mechanism: self-interests of supply chain members and information asymmetry in production processes. Blockchain is a promising technology to address these problems. The key objective of this paper is to present qualitative analysis for blockchain in supply chain as the decision-making framework to implement this new technology. The analysis method used Val IT business case framework, validated by the expert judgements. The further study needs to be elaborated by either the existing organization that use blockchain or assessment by the organization that will use blockchain to improve their supply chain management.

Applications of blockchain in healthcare (Preprint)

2020 ◽  
Author(s):  
Pranav C
Keyword(s):  
Decision Making ◽  
Large Scale ◽  
Review Paper ◽  
New Technology ◽  
Personal Identification ◽  
Healthcare Industry ◽  
Healthcare Organizations ◽  
Paper Briefly ◽  
Blockchain Technology ◽  
Audit Trails

UNSTRUCTURED The word blockchain elicits thoughts of cryptocurrency much of the time, which does disservice to this disruptive new technology. Agreed, bitcoin launched in 2011 was the first large scale implementation of blockchain technology. Also, Bitcoin’s success has triggered the establishment of nearly 1000 new cryptocurrencies. This again lead to the delusion that the only application of blockchain technology is for the creation of cryptocurrency. However, the blockchain technology is capable of a lot more than just cryptocurrency creation and may support such things as transactions that require personal identification, peer review, elections and other types of democratic decision-making and audit trails. Blockchain exists with real world implementations beyond cryptocurrencies and these solutions deliver powerful benefits to healthcare organizations, bankers, retailers and consumers among others. One of the areas where blockchain technology can be used effectively is healthcare industry. Proper application of this technology in healthcare will not only save billions of money but also will contribute to the growth in research. This review paper briefly defines blockchain and deals in detail the applications of blockchain in various areas particularly in healthcare industry.

Renewable energy selection based on a new entropy and dissimilarity measure on an interval-valued neutrosophic set

2021 ◽  
pp. 1-18
Author(s):  
ShuoYan Chou ◽  
Truong ThiThuy Duong ◽  
Nguyen Xuan Thao
Keyword(s):  
Decision Making ◽  
Renewable Energy ◽  
Membership Function ◽  
Fossil Fuels ◽  
Multiple Criteria Decision Making ◽  
Clean Energy ◽  
Dissimilarity Measure ◽  
Neutrosophic Set ◽  
Trade Offs ◽  
And Performance

Energy plays a central part in economic development, yet alongside fossil fuels bring vast environmental impact. In recent years, renewable energy has gradually become a viable source for clean energy to alleviate and decouple with a negative connotation. Different types of renewable energy are not without trade-offs beyond costs and performance. Multiple-criteria decision-making (MCDM) has become one of the most prominent tools in making decisions with multiple conflicting criteria existing in many complex real-world problems. Information obtained for decision making may be ambiguous or uncertain. Neutrosophic is an extension of fuzzy set types with three membership functions: truth membership function, falsity membership function and indeterminacy membership function. It is a useful tool when dealing with uncertainty issues. Entropy measures the uncertainty of information under neutrosophic circumstances which can be used to identify the weights of criteria in MCDM model. Meanwhile, the dissimilarity measure is useful in dealing with the ranking of alternatives in term of distance. This article proposes to build a new entropy and dissimilarity measure as well as to construct a novel MCDM model based on them to improve the inclusiveness of the perspectives for decision making. In this paper, we also give out a case study of using this model through the process of a renewable energy selection scenario in Taiwan performed and assessed.

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