回憶帶我回到這裡，可惜等待我的是寂寞和孤單。
回憶帶我回到這裡，可惜等待我的是寂寞和孤單。
由 戴忠淵 於 2016年8月2日星期二
下午3:41 發表
繼續閱讀全文 回憶帶我回到這裡，可惜等待我的是寂寞和孤單。
Finally, the first acceptance of 2015 comes.
由 戴忠淵 於 2015年1月15日星期四
下午6:08 發表
Chung-Yuan Dye and Chih-Te Yang
Abstract
In this paper, we consider issues of sustainability in the context of joint trade credit and inventory management in which the demand depends on the length of the credit period offered by the retailer to its customers. We quantify the impacts of the credit period and environmental regulations on the inventory model. Starting with some mild assumptions, we first analyze the model with generalized demand and default risk rates under the Carbon Cap-and-Trade policy, and then we make some extensions to the model with the Carbon Offset policy. We further analytically examine the effects of carbon emission parameters on the retailer's trade credit and replenishment strategies. Finally, a couple of numerical examples and sensitivity analysis are given to illustrate the features of the proposed model, which is followed by concluding remarks.
Keywords: Environmental regulation; Inventory; Trade credit; Default risk; Carbon emissions
Thank you for your endless love.
由 戴忠淵 於 2014年10月25日星期六
下午11:00 發表
I love and miss you Mom. Thank you for your endless love, compassion, support and understanding.
Time passed by so fast!
由 戴忠淵 於 2013年7月23日星期二
下午11:22 發表
匆匆的，一千兩百個日子就這麼從指縫中溜走了～送他到幼稚園，看著他說聲再見後，頭也不回的衝向那滑梯，只剩牽著腳踏車，雙眼留著不捨的兩行清淚的我。
Finally, the seventh acceptance of 2012 comes.
由 戴忠淵 於 2012年11月13日星期二
下午10:39 發表
The effect of preservation technology investment on a non-instantaneous deteriorating inventory model
submitted to
OMEGA
Chung-Yuan Dye
Abstract
Considering an inventory system with a non-instantaneous deteriorating item, our objective is to study the effect of preservation technology investment on inventory decisions. The generalized productivity of invested capital, deterioration and time-depend partial backlogging rates are used to model the inventory system. The basic results of fractional programming are employed to prove the uniqueness of the global maximum for each case. We also establish several structural properties on finding the optimal replenishment and preservation technology strategies. Further, we use a couple of numerical examples to illustrate the results and conclude the paper with suggestions for possible future researches.
Keywords: Inventory, Non-instantaneous deterioration, Preservation technology investment, Partial backlogging
君達三歲
由 戴忠淵 於 2012年11月11日星期日
上午12:19 發表
Finally, the sixth acceptance of 2012 comes.
由 戴忠淵 於 2012年11月2日星期五
下午8:34 發表
Comment on "Supply chain model for a deteriorating product with time-varying demand and production rate" by Giri and Maiti
submitted to
Journal of the Operational Research Society
Chung-Yuan Dye
Abstract
In this short note, we first complement an mathematical error in the above-mentioned paper. Then the optimal solutions are corrected numerically.
Keywords: supply chain; vendor-buyer; time-varying demand; deterioration; process shift
Finally, the fifth acceptance of 2012 comes.
由 戴忠淵 於 2012年9月12日星期三
下午5:48 發表
submitted to
Journal of Computational and Applied Mathematics
Tsu-Pang Hsieh and Chung-Yuan Dye
Abstract
In most of the inventory models in the literature, the deterioration rate of goods is viewed as an exogenous variable, which is not subject to control. In the real market, the firms can reduce the deterioration rate of product by making effective capital investment in preservation technology. In this research, we formulate a production-inventory model for deteriorating items with time-varying demand and finite replenishment rate by allowing preservation technology cost as a decision variable in conjunction with production policy. The objective is to find the optimal production and preservation technology investment strategies while minimizing the total cost over the planning horizon. A traditional particle swarm optimization is coded and used to solve the mixed-integer nonlinear programming problem. Some numerical examples are used to illustrate the features of the proposed model.
Key words: inventory, time-varying demand, deterioration, preservation technology investment, particle swarm optimization
Key words: inventory, time-varying demand, deterioration, preservation technology investment, particle swarm optimization
Finally, the fourth acceptance of 2012 comes.
由 戴忠淵 於 2012年8月15日星期三
下午9:51 發表
Joint pricing and ordering policy for an advance booking system with partial order cancellations
submitted to
Applied Mathematical Modelling
submitted to
Applied Mathematical Modelling
Chung-Yuan Dye and Tsu-Pang Hsieh
Abstract
In this paper, an inventory model for deteriorating items with price-dependent demand is developed. The cycle is divided into two periods, where an advance sales period is followed by a spot sales period. In practice, customers with reservations may cancel their orders before receiving them. During the advance sales period, the rate of reservations which will not be cancelled is dependent on the length of the waiting time for the receiving order. During the spot sales period, all customers receive their orders at the time of the purchase. We prove the existence of the realistic relationship that the advance sales price is smaller than the spot sales price. We also develop some useful properties and provide an iterative procedure for solving the maximization problem. Numerical examples are given to demonstrate the effectiveness of the proposed approach and we conclude the paper with suggestions for possible future research.
Key words: inventory, price discrimination, deterioration, reservation
Finally, the third acceptance of 2012 comes.
由 戴忠淵 於 2012年6月20日星期三
上午8:01 發表
Chung-Yuan Dye and Tsu-Pang Hsieh
Abstract
Abstract
In this paper, we consider the effect of preservation technology cost investing on preservation equipment for reducing deterioration rate under two-level trade credit. The preservation technology cost is allowed for periodical upward or downward adjustments due to the time varying demand and the strategy of trade credit within the planning horizon. We establish a deterministic economic order quantity model for a retailer to determine his/her optimal preservation technology cost per replenishment cycle, the trade credit policies, the replenishment number and replenishment schedule that will maximize the present value of total profit. A traditional particle swarm optimization is coded and used to solve the mixed-integer nonlinear programming problem by employing the properties derived from this paper. Some numerical examples are used to illustrate the features of the
proposed model.
proposed model.
Key words: time-varying demand, deteriorating inventory, trade credit, preservation technology, particle swarm optimization
Finally, the second acceptance of 2012 comes.
由 戴忠淵 於 2012年4月18日星期三
上午7:19 發表
Yu-Ping Lee and Chung-Yuan Dye
Abstract
In this paper, we formulate a deteriorating inventory model with stock-dependent demand by allowing preservation technology cost as a decision variable in conjunction with replacement policy. Moreover, it is assumed that the shortages are allowed and partially backlogged, depending on the length of the waiting time for the next replenishment. The objective is to find the optimal replenishment and preservation technology investment strategies while maximizing the total profit per unit time. For any given preservation technology cost, we first prove that the optimal replenishment schedule not only exists but is unique. Next, we show that the total profit per unit time is a concave function of preservation technology cost when the replenishment schedule is given. We then provide a simple algorithm to find the optimal preservation technology cost and replenishment schedule for the proposed model. Finally, we use some numerical examples to illustrate the model.
Key words: inventory, stock-dependent demand, deterioration, partial backlogging, preservation technology investment
Finally, the first acceptance of 2012 comes.
由 戴忠淵 於 2012年3月21日星期三
下午10:07 發表
Chung-Yuan Dye
Abstract
In this paper, we consider a deterministic economic order quantity model with generalized type demand, deterioration and unit purchase cost functions under two levels of trade credit policy. Our objective is to find the optimal values of selling prices, replenishment number and replenishment scheme which maximize the total profit over the finite planning horizon. We establish the inventory system and provide structural properties of the optimal solution that facilitate computation. A particle swarm optimization with constriction factor is coded and used to solve the mixed-integer nonlinear programming problem by employing the properties derived from this paper. At the end, some numerical examples are used to illustrate the features of the proposed model.
Key words: inventory, time-varying demand, trade credit financing, particle swarm optimization
Swarm and Evolutionary Computation
Finally, the second acceptance of 2011 comes.
由 戴忠淵 於 2011年10月30日星期日
下午10:04 發表
Application of particle swarm optimization for solving deteriorating inventory model with fluctuating demand and controllable deterioration rate
Yu-Ren Chen and Chung-Yuan Dye
Abstract
In most of the inventory models in the literature, the deterioration rate of goods is viewed as an exogenous variable, which is not subject to control. In the real market, the retailer can reduce the deterioration rate of product by making effective capital investment in storehouse equipments. In this study, we formulate a deteriorating inventory model with time-varying demand by allowing preservation technology cost as a deci- sion variable in conjunction with replacement policy. The objective is to find the optimal replenishment and preservation technology investment strategies while minimizing the total cost over the planning horizon. For any given feasible replenishment scheme, we first prove that the optimal preservation technology investment strategy not only exists but is unique. Then, a particle swarm optimization is coded and used to solve the non- linear programming problem by employing the properties derived from this paper. Some numerical examples are used to illustrate the features of the proposed model.
Key words: inventory, time-varying demand, deterioration, preservation technology investment, particle swarm optimization
Finally, the first acceptance of 2011 comes.
由 戴忠淵 於 2011年10月22日星期六
下午8:44 發表
An optimal replenishment policy for deteriorating items with effective investment in preservation technology
Chung-Yuan Dye and Tsu-Pang Hsieh
Abstract
Chung-Yuan Dye and Tsu-Pang Hsieh
Abstract
In this paper, considering the amount invested in preservation technology and the replenish- ment schedule as decision variables, we formulate an inventory model with a time-varying rate of deterioration and partial backlogging. The objective is to find the optimal replenishment and preservation technology investment strategies while maximizing the total profit per unit time. For any given preservation technology cost, we first prove that the optimal replenishment schedule not only exists but is unique. Next, under given replenishment schedule, we show that the total profit per unit time is a concave function of preservation technology cost. We then provide a simple algorithm to figure out the optimal preservation technology cost and replenishment schedule for the proposed model. We use numerical examples to illustrate the model.
Key words: inventory, deterioration, partial backlogging, preservation technology investment
ESWA接受
由 戴忠淵 於 2011年5月28日星期六
下午12:13 發表
專家系統（Expert Systems With Applications ），傳說中的升等黑名單，也是研究生的好朋友！
One day trip in NSYSU
由 戴忠淵 於 2011年5月21日星期六
下午6:14 發表
上次來這個學校，算一算已經是十五年前的事了，Orz!
