scholarly journals Economic and Environmental Implications of Quality Choice under Remanufacturing Outsourcing

2020 ◽  
Vol 12 (3) ◽  
pp. 874 ◽  
Author(s):  
Wei He ◽  
Lan Liang ◽  
Kai Wang
Keyword(s):  
Life Cycle ◽  
Product Quality ◽  
New Products ◽  
Quality Level ◽  
Economic Perspective ◽  
Environmental Implications ◽  
Environmental Friendly ◽  
Quality Choice ◽  
Original Equipment Manufacturers ◽  
Environment Performance

Although many studies have recently investigated how the product quality impacts on economic and environment performance under remanufacturing, all of them assume that remanufacturing operations are undertaken by the original equipment manufacturers (OEMs) or independent remanufacturers (IRs). However, many OEMs such as Lexmark, Canon, and Epson filed lawsuits with those IRs without licensing, but outsourced the remanufacturing operations to several contracted remanufacturers (CRs). We therefore extend the prior research to investigate the economic and environmental implications of OEMs’ strategic desired quality level choices under remanufacturing outsourcing. That is, we develop two models corresponding to two scenarios where OEMs (1) undertake remanufacturing in-house or (2) outsource it to a CR. Our results show that, to create a less intense cannibalization problem for new products sales, OEMs would be likely to choose a lower product quality when outsourcing remanufacturing to a CR. More importantly, from the economic perspective, we find that outsourcing remanufacturing to a CR hurts the OEM and the industry. However, from the environmental angle, our results reveal that there is a ratio threshold for environmental impact for different life cycle phases, above which remanufacturing in-house is definitely beneficial for OEM in economics and environment, but for the rest, outsourcing is equally or more environmental-friendly, despite cutting down the profit.

scholarly journals Product Quality Evaluation Method (PQEM): A Comprehensive Approach for the Software Product Life Cycle

2021 ◽  
Author(s):  
Mariana Falco ◽  
Gabriela Robiolo
Keyword(s):  
Life Cycle ◽  
Product Quality ◽  
Product Life Cycle ◽  
Quality Evaluation ◽  
Evaluation Method ◽  
Project Managers ◽  
Quality Characteristic ◽  
Quality Level ◽  
A Value ◽  
Software Product

Project managers, product owners, and quality assurance leaders need to visualize and understand the entire picture of the development process as well as comprehend the product quality level, in a synthetic and intuitive way in order to facilitate the decision of accepting or rejecting each iteration within the software life cycle. This idea is extremely important nowadays, due to the fact that time is a key resource and it should be managed wisely to obtain a feasible quality level for each software deliverable. This article presents a novel solution called Product Quality Evaluation Method (PQEM) to evaluate a set of quality characteristics for each iteration of a software product. PQEM is based on the Goal-Question-Metric approach, the standard ISO/IEC 25010, and the extension made of testing coverage in order to obtain the quality coverage of each quality characteristic. The outcome of PQEM is a single value representing the quality per each iteration of a product, as an aggregated measure. Even though a value it is not the regular idea of measuring quality, we believe that it can be useful to use this value to understand easily the quality level of each iteration. An illustrative example of the method was carried out with a web and mobile application, within the healthcare environment.

scholarly journals Product Quality Evaluation Method (PQEM): To Understand the Evolution of Quality Through the Iterations of a Software Product

2021 ◽  
Vol 12 (5) ◽  
pp. 1-20
Author(s):  
Mariana Falco ◽  
Gabriela Robiolo
Keyword(s):  
Life Cycle ◽  
Product Quality ◽  
Product Life Cycle ◽  
Quality Evaluation ◽  
Evaluation Method ◽  
Quality Characteristic ◽  
Quality Level ◽  
Single Measure ◽  
Software Product ◽  
Agile Software

Promoting quality within the context of agile software development, it is extremely important as well as useful to improve not only the knowledge and decision-making of project managers, product owners, and quality assurance leaders but also to support the communication between teams. In this context, quality needs to be visible in a synthetic and intuitive way in order to facilitate the decision of accepting or rejecting each iteration within the software life cycle. This article introduces a novel solution called Product Quality Evaluation Method (PQEM) which can be used to evaluate a set of quality characteristics for each iteration within a software product life cycle. PQEM is based on the Goal-Question-Metric approach, the standard ISO/IEC 25010, and the extension made of testing coverage in order to obtain the quality coverage of each quality characteristic. The outcome of PQEM is a unique multidimensional value, that represents the quality level reached by each iteration of a product, as an aggregated measure. Even though a value it is not the regular idea of measuring quality, we believe that it can be useful to use this value to easily understand the quality level of each iteration. An illustrative example of the PQEM method was carried out with two iterations from a web and mobile application, within the healthcare environment. A single measure makes it possible to observe the evolution of the level of quality reached in the evolution of the product through the iterations.

Computable metrics of personal performance in software development teams

2019 ◽  
Author(s):  
Andriy Lishchytovych ◽  
Volodymyr Pavlenko
Keyword(s):  
Life Cycle ◽  
Software Development ◽  
Product Quality ◽  
Performance Indicators ◽  
Key Performance Indicators ◽  
Project Manager ◽  
Development Life Cycle ◽  
Software Product ◽  
Software Development Life Cycle

The present article describes setup, configuration and usage of the key performance indicators (KPIs) of members of project teams involved into the software development life cycle. Key performance indicators are described for the full software development life cycle and imply the deep integration with both task tracking systems and project code management systems, as well as a software product quality testing system. To illustrate, we used the extremely popular products - Atlassian Jira (tracking development tasks and bugs tracking system) and git (code management system). The calculation of key performance indicators is given for a team of three developers, two testing engineers responsible for product quality, one designer, one system administrator, one product manager (responsible for setting business requirements) and one project manager. For the key members of the team, it is suggested to use one integral key performance indicator per the role / team member, which reflects the quality of the fulfillment of the corresponding role of the tasks. The model of performance indicators is inverse positive - the initial value of each of the indicators is zero and increases in the case of certain deviations from the standard performance of official duties inherent in a particular role. The calculation of the proposed key performance indicators can be fully automated (in particular, using Atlassian Jira and Atlassian Bitbucket (git) or any other systems, like Redmine, GitLab or TestLink), which eliminates the human factor and, after the automation, does not require any additional effort to calculate. Using such a tool as the key performance indicators allows project managers to completely eliminate bias, reduce the emotional component and provide objective data for the project manager. The described key performance indicators can be used to reduce the time required to resolve conflicts in the team, increase productivity and improve the quality of the software product.

scholarly journals LCA and LCC of Emerging and Incumbent Technologies on Energy Harvesters

2021 ◽  
Vol 5 (1) ◽  
pp. 21
Author(s):  
Ada Malagnino ◽  
Maddalena Rostagno ◽  
Giuseppe Gaspare Amaro ◽  
Anestis Vlysidis ◽  
Anastasia Gkika ◽  
...  
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Energy Consumption ◽  
Environmental Impact ◽  
Thermoelectric Materials ◽  
Toxic Substances ◽  
Horizon 2020 ◽  
Energy Harvesters ◽  
Rare Elements ◽  
Environmental Friendly

In this study, life cycle assessment and life cycle costing results about piezoelectric and thermoelectric materials for energy harvesters (EHs) are extracted from the literature and evaluated. This study serves as a basis for comparing current EHs with innovative EHs that will be developed within the Horizon 2020 FAST SMART project. FAST—SMART aims at increasing the performance of current EHs while reducing at the same time: The use of rare elements and toxic substances; resources and energy consumption; environmental impact and costs; paving the way for the adoption of new and more environmental-friendly systems for energy harvesting.

scholarly journals INNOVATIONS IN PLANNING BASED ON THE MARGINAL APPROACH CONCEPT

2018 ◽  
Vol 2018 (5) ◽  
pp. 23-34
Author(s):  
Oliver ORLOV ◽  
Keyword(s):  
Life Cycle ◽  
New Products ◽  
Theory And Practice ◽  
Practical Significance ◽  
Fixed Costs ◽  
Product Pricing ◽  
Upper Limits ◽  
Modern Economic ◽  
Break Even Point ◽  
Analytical Tools

In modern economic theory and practice, there is a whole range of problems, where the lack of analytical tools does not allow adequately measuring the expected results. A number of hypotheses are presented; proofs of these hypotheses show that a set of important economic problems (planning of cost production, profit, break-even point by product, pricing for new products and evaluation of effectiveness of inno-vation projects) do not meet an appropriate solution because of the lack of analytical tools. As an alternative, solutions of these problems based on the marginal approach concept are proposed. Distribution of fixed costs between types of products (proposed in accordance with the concept of marginal approach) is inherently a covering of fixed costs by marginal profit and formation on this basis of profit and profitableness both by the types of products and by enterprise as a whole. The concept of the marginal approach was also used to solve the problems of pricing on new products of industrial and technical purpose, which allowed forming the lower and upper limits of prices on an anti-costly basis. Methods for evaluating the effectiveness of innovative projects, which are pre-sented in economic literature and practice from the second half of the 20th century, are reduced to comparing investments with magnitude of profit from sale of an in-novative product during its life cycle. It is proposed to compare investments with the marginal profit received by the enterprise from a new product during its life cycle (of course, taking into account discounting). The results obtained have theoretical value, since they allow new ways to form cost price, profit and profitableness by product types, offer an anti-costly approach to pricing with provision of appropriate tools, as well as evaluation of effectiveness of innovation projects. And a practical significance of these results is to create ap-propriate conditions for a flexible cost management, profits and prices, which is es-pecially important for a rapidly changing market conditions.

scholarly journals Directions for Improving the Quality of Products of PJSC «Beer and Non-Alcoholic Plant «Radomyshl»

2020 ◽  
Vol 10 (513) ◽  
pp. 197-203
Author(s):  
O. I. Garafonova ◽  
◽  
I. F. Nechai ◽  
Keyword(s):  
Product Quality ◽  
Product Life Cycle ◽  
Quality Parameters ◽  
Quality Level ◽  
Business Organization ◽  
High Quality ◽  
The World ◽  
Developing Directions ◽  
Quality Of Products

In the world, product quality has long been one of the major instruments for ensuring the economic development of companies. Achieving high quality parameters, in turn, is an important part of the economic strategy of any success-oriented business organization. The article is aimed at developing directions for improving products of PJSC «Beer and Non-Alcoholic Plant «Radomyshl». The object of the research is the quality of beer produced by PJSC «Beer and Non-Alcoholic Plant «Radomyshl». The assessment of the quality level of the selected product in accordance with the requirements of DSTU 3888:2015 was carried out using the following groups of indicators: microbiological, organoleptic and physic-chemical. The process of assessing the product quality parameters is presented, which consists of seven consecutive stages and is carried out throughout the product life cycle. The factors under the influence of which the quality of products are formed and which may cause deviation from the specified quality parameters are analyzed and structured. The defects that appear due to these factors have been identified. The basis for improving the quality of products is primarily a thorough study of changes in demand for the business organization products. Three groups of measures are singled out, with the help of which one can achieve the desired level of product quality, namely: technological, organizational and socio-economic. A complex of priority measures to improve the quality of products of PJSC «Beer and Non-Alcoholic Plant «Radomyshl» is proposed. The element of scientific novelty is the development of an algorithm for the implementation of measures to improve the quality of products. During the implementation of measures to improve the quality, it is necessary to carry out systematic monitoring and generate reports on the implementation of the project in order to make possible an adjustment of the final result.

An Efficient Framework for Vietnamese Sentiment Classification

2020 ◽  
Author(s):  
Cuong V. Nguyen ◽  
Khiem H. Le ◽  
Anh M. Tran ◽  
Binh T. Nguyen
Keyword(s):  
Product Quality ◽  
Sentiment Analysis ◽  
New Products ◽  
Classification Problem ◽  
Research Community ◽  
Sentiment Classification ◽  
Experimental Results ◽  
Data Sets ◽  
Online Retailers

With the booming development of E-commerce platforms in many counties, there is a massive amount of customers’ review data in different products and services. Understanding customers’ feedbacks in both current and new products can give online retailers the possibility to improve the product quality, meet customers’ expectations, and increase the corresponding revenue. In this paper, we investigate the Vietnamese sentiment classification problem on two datasets containing Vietnamese customers’ reviews. We propose eight different approaches, including Bi-LSTM, Bi-LSTM + Attention, Bi-GRU, Bi-GRU + Attention, Recurrent CNN, Residual CNN, Transformer, and PhoBERT, and conduct all experiments on two datasets, AIVIVN 2019 and our dataset self-collected from multiple Vietnamese e-commerce websites. The experimental results show that all our proposed methods outperform the winning solution of the competition “AIVIVN 2019 Sentiment Champion” with a significant margin. Especially, Recurrent CNN has the best performance in comparison with other algorithms in terms of both AUC (98.48%) and F1-score (93.42%) in this competition dataset and also surpasses other techniques in our dataset collected. Finally, we aim to publish our codes, and these two data-sets later to contribute to the current research community related to the field of sentiment analysis.

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