An open-flower mutant ofMelilotus alba: Potential for floral-dip transformation of a papilionoid legume with a short life cycle?

2010 ◽  
Vol 97 (3) ◽  
pp. 395-404 ◽  
Author(s):  
Ann M. Hirsch ◽  
Angie Lee ◽  
Weimin Deng ◽  
Shirley C. Tucker
Keyword(s):  
Life Cycle ◽  
Short Life ◽  
Open Flower ◽  
Floral Dip

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.

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.

scholarly journals Biofuel and Bioenergy Technology

Energies ◽  
2019 ◽  
Vol 12 (2) ◽  
pp. 290 ◽  
Author(s):  
Wei-Hsin Chen ◽  
Keat Lee ◽  
Hwai Ong
Keyword(s):  
Life Cycle ◽  
Fossil Fuels ◽  
Renewable Resource ◽  
Short Life

Biomass is considered as a renewable resource because of its short life cycle, and biomass-derived biofuels are potential substitutes to fossil fuels [...]

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