Impact of Generational Commonality of Short Life Cycle Products in Manufacturing and Remanufacturing Processes

2020 ◽  
Vol 142 (12) ◽  
Author(s):  
Jinju Kim ◽  
Harrison M. Kim
Keyword(s):  
Life Cycle ◽  
Environmental Problems ◽  
Utilization Rate ◽  
Short Life ◽  
Trade Offs ◽  
Technological Advances ◽  
Technological Obsolescence ◽  
New Generation ◽  
The Impact ◽  
Short Life Cycle Products

Abstract Short life cycle products are frequently replaced and discarded, even though they are resource-intensive products. Technological advances and rapid changes in demand have led manufacturers to develop their innovative next-generation products quickly, which not only enables multiple generations to coexist in the market but also speeds up the technological obsolescence of products. Diversity of collected end-of-life (EoL) and rapid technological obsolescence make the effective recovery of EoL products difficult. The low utilization rate of EoL products causes serious environmental problems such as e-waste and waste of natural resources. To deal with the conflict between the technical evolution of products and the promotion of social benefits in solving environmental problems, this paper focuses on the impact of generational commonality effects on the overall production process including manufacturing and remanufacturing. Generational commonality leads to an increase in the efficiency of manufacturing due to reducing related costs. Additionally, from the remanufacturing perspective, the interchangeability between generations can help collect the EoL products needed for remanufacturing. On the other hand, it causes a weakening of the level of performance and technology evolution between generations that significantly affect the demand for short life cycle products. Therefore, this study identifies these trade-offs of generational commonality levels in both manufacturing and remanufacturing based on a quantitative approach. This study finds how different pricing strategies, production plans, and recovery costs are based on the designs of a new generation with a different degree of generational commonality.

scholarly journals Impact of Generational Commonality of Short-Life Cycle Products in Manufacturing and Remanufacturing Processes

2019 ◽  
Vol 1 (1) ◽  
pp. 3331-3340
Author(s):  
Jinju Kim ◽  
Harrison Kim
Keyword(s):  
Mathematical Model ◽  
Life Cycle ◽  
Utilization Rate ◽  
Pricing Strategies ◽  
Performance Difference ◽  
Short Life ◽  
Optimal Production ◽  
Short Life Span ◽  
New Generation ◽  
Short Life Cycle Products

AbstractShort-life cycle products are frequently replaced and discarded despite being resource-intensive. The short life span and the low utilization rate of the end-of-life products cause severe environmental problems and waste of resources. In the case of short-life cycle products, a new generation of products is released sooner than other products, therefore there are the opportunities to have various generations of products during the remanufacturing process. The commonality between generations increases the intergenerational component compatibility, which increases the efficiency of the manufacturing and remanufacturing processes, while at the same time weakening the performance difference between generations. This paper proposes a mathematical model to investigate the effect of commonality among generations on the overall production process. Based on various given new generation product designs with different commonality, we aim to propose optimal production planning and pricing strategies to maximize the total profitability and investigate how the results vary according to the commonality strategies between product generations.

The impact of atmospherics on WOM about short life-cycle products: the case of motion pictures

2018 ◽  
Vol 27 (5) ◽  
pp. 471-483 ◽  
Author(s):  
Leonidas Hatzithomas ◽  
Panagiotis Gkorezis ◽  
Athina Y. Zotou ◽  
George Tsourvakas
Keyword(s):  
Life Cycle ◽  
Positive Emotions ◽  
Relevant Literature ◽  
Motion Pictures ◽  
Causal Mechanism ◽  
Short Life ◽  
Content Type ◽  
Key Variables ◽  
The Impact ◽  
Short Life Cycle Products

Purpose This paper aims to empirically examine how atmospherics affect word of mouth (WOM) about the brand. The authors focus primarily on uncovering the causal mechanism in which such effect is serially mediated by both perceived positive emotions evoked by atmospherics and attitude toward the brand. Design/methodology/approach To test the research hypotheses, 314 Greek moviegoers were drafted to participate in a survey. Data were analysed using confirmatory factor analysis (AMOS) and the SPSS macro (PROCESS tool). The model was applied to motion pictures, as they provide a particularly good example of short life-cycle products. Findings Findings indicate that atmospherics are related to WOM about the brand through perceived emotions evoked by atmospherics and, in turn, attitude toward the brand. Research limitations/implications The present study extends the relevant literature by providing both direct and indirect links between atmospherics and WOM about a brand. Practical implications The model of the present study could be applied to other short life-cycle products that share key characteristics with motion pictures. Moreover, the present study increases movie producers and exhibitors’ understanding of the effects of theatre atmospherics on WOM about the movie and leads to practical suggestions and implications. Originality/value WOM is one of the key variables that can affect the profitability of short life-cycle products. To date, there was no evidence that atmospherics can influence WOM about a short life-cycle product.

scholarly journals Intermittent demand forecasting for medical consumables with short life cycle using a dynamic neural network during the COVID-19 epidemic

2020 ◽  
Vol 26 (4) ◽  
pp. 3106-3122
Author(s):  
Peipei Liu
Keyword(s):  
Neural Network ◽  
Life Cycle ◽  
Model Selection ◽  
Demand Forecasting ◽  
Seasonal Adjustment ◽  
Intermittent Demand ◽  
Short Life ◽  
Dynamic Neural Network ◽  
Demand Models ◽  
The Impact

Accurate demand forecasting is always critical to supply chain management. However, many uncertain factors in the market make this issue a huge challenge. Especially during the current COVID-19 outbreak, the shortage of certain types of medical consumables has become a global problem. The intermittent demand forecast of medical consumables with a short life cycle brings some new challenges, such as the demand occurring randomly in many time periods with zero demand. In this research, a seasonal adjustment method is introduced to deal with seasonal influences, and a dynamic neural network model with optimized model selection procedure and an appropriate model selection criterion are introduced as the main forecasting models. In addition, in order to reduce the impact of zero demand, it adds some input nodes to the neural network by preprocessing the original input data. Lastly, a modified error measurement method is proposed for performance evaluation. Experimental results show that the proposed forecasting framework is superior to other intermittent demand models.

Technoethics

2012 ◽  
Vol 3 (1) ◽  
pp. 14-27 ◽  
Author(s):  
Peter B. Heller
Keyword(s):  
Technological Change ◽  
Engineering Ethics ◽  
Computer Ethics ◽  
Ethical Decisions ◽  
First Case ◽  
Trade Offs ◽  
Technological Advances ◽  
The Impact ◽  
Made In

Technoethics relates to the impact of ethics in technology, technological change, and technological advances and their applications. This is true both in established fields such as bioethics or computer ethics or engineering ethics but also in new areas of research such as neuroethics. As pioneering breakthroughs are made in, say, extending life or robotization, novel questions arise regarding the rightness or wrongness of keeping terminal cases alive even at the expense of such trade-offs as making life possible for premature or defective babies in the first case or replacing workers in the second. Some of these agonizing dilemmas are treated in the paper highlighting the ambivalence and difficulty – and corresponding controversy – in reaching ethical decisions in technological applications.

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