• Journal of the Korean Institute of Navigation
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• v.5 no.1
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• pp.1-23
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• 1981

As far as transportation problems are concerned, the minimization of transportation cost is the most prevailing object. But in some cases, the cargo delivery time is the utter problem rather than the cost. For instance, we may imagine the case that the delivery of the construction materials is delayed behind the schedule and this makes the construction cost increased because of idle time of other materials and man power, in addition to the indemnity. Therefore the allocation of ships, in marine transportation which is now the main route of overseas trade, to the needed area on the required time is to be appropriately performed. However, there are several restrictions for cargo delivery to meet the demand, such as ship's size, number to be employed and cargo handling capacity of the ports, etc. And there are some other factors to be considered, that is, the degree of necessities of commodities, on their kinds, amount, and the time of arrival, etc. This paper deals with the problem of optimum allocation of ships emphasizing the cargo delivery time adopting Linear Programming technique with those cargo delivery restrictions and factors transformed by introducing the multi-speed conception, the conversion of multi-commodity to a single commodity, allowable delivery time, weight penalty number and nominating priority. This paper presents a case of optimum allocation of ships in the light of cargo delivery time for a construction company which has two different construction places and analyzes the result. This study will give a planner a good tool for optimum planning of maring transportation and be used for decision of schemes.

• Quality Improvement in Health Care
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• v.3 no.1
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• pp.144-152
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• 1996

Background : Because of introduction of nationwide health care system in 1989 and the improvement of socioeconomic status of population the number of outpatient visiting university hospital has good facilities and manpower has increased. So the waiting time for medical service at university hospital are lengthened. Particularly outpatients complain that waiting for prescribed drugs at pharmacy depart are long. Reducing waiting time at pharmacy depart door-to-door delivery system that the patients applying for door-to-door delivery receive prescribed drug at home without waiting at pharmacy depart were studied. The objective of this study is to analysis the opinion of outpatients for door-to-door delivery system, to study the appropriateness of adopting the system and to produce ideal model for the system. Method : Outpatients waiting drug at pharmacy depart were questioned about door-to-door delivery system. to find the factors affect utilizing the system the logistic regression was used. Result : 83.3% of the patients want to utilize the system without charging, and 72.9% of the patients want to utilized system with charging. 68.3% of patients with charging want to use this system because of long waiting time at pharmacy depart. 50% of patients who do not want to use door-to-door do not use this system because of incorrect delivery. The affecting factors to utilize the system were sex, waiting time, fee. Conclusion : The model for door to door delivery system. 1. door-to-door personnel reside in hospital and the patient want to utilize the system apply for the delivery with charging. 2. The applied drugs dispense at spare time. 3. Delivery company gathers drug at appointed time and delivers. 4. The delivery fee is 2,000-3,000 won. 5. To prevent from loss and changing the drug the name of patient on packet are printed and drug packet are sealed. 6. The company submit the confirm sheet which are written that the patient received drug correctly to hospital. 7. The delivery time of drug is reserved for the convenience of receiving.

• Asia Marketing Journal
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• v.16 no.3
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• pp.1-22
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• 2014

In this paper, we posit that time-related effects (i.e., the importance of saving time) on patronage preference for shopping online will be moderated by consumer characteristics. To explore these moderating effects, we empirically examine the moderating roles of consumer characteristics on the respective effects of shopping-time-saved and delivery on online purchase preference. On the basis of analyses performed on data gleaned from an Internet-based survey, this study demonstrate that time effects related to both shopping-time-saved and delivery on online purchase preference are more pronounced for consumers who are male, young, and more starved for time. In addition, the effect of delivery time on online patronage preference is amplified by disposable income, but attenuated by online shopping experience. Through our analyses, we also find that Japanese consumers value delivery time to a greater degree than Chinese and American consumers do.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.37 no.1
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• pp.60-67
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• 2014

This paper considers an inbound ordering and outbound dispatching problem for multi-products and multi-vehicles in a third-party distribution center. The demands are dynamic over a discrete and finite time horizon, and replenishing orders are shipped in various transportation modes and the freight cost is proportional to the number of vehicles used. Any mixture of products is loaded onto any type of vehicles. The objective of the study is to simultaneously determine the inbound lot-sizes, the outbound dispatching sizes, and the types and numbers of vehicles used to minimize total costs, which consist of inventory holding cost and freight cost. Delivery time window is one of the general dispatching policies between a third-party distribution center and customers in practice. In the policy, each demand of product for a customer must be delivered within the time window without penalty cost. We derive mixed integer programming models for the dispatching policy with delivery time windows and on-time delivery dispatching policy, respectively and analyze the effect on a dispatching policy with delivery time windows by comparing with on-time delivery dispatching policy using various computational experiments.

• Journal of Information Technology Applications and Management
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• v.26 no.1
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• pp.53-64
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• 2019

The purpose of this study is to find out the fast delivery route that several drones return a truck again after departing from it for delivery locations at each cluster while the truck goes through the cluster composed of several delivery locations. The main issue is to reduce the total delivery time composed of the delivery time by relatively slow trucks via clusters and the sum of maximum delivery times by relatively fast drones in each cluster. To solve this problem, we use a three-step heuristic approach. First, we cluster the nearby delivery locations with minimal number of clusters satisfying a constraint of drone flight distance to set delivery paths for drones in each cluster. Second, we set an optimal delivery route for a truck through centers of the clusters using the TSP model. Finally, we find out the moved centers of clusters while maintaining the delivery paths for the truck and drones and satisfying the constraint of drone flight. distance in the two-dimensional region to reduce the total delivery time. In order to analyze the effect of this study model according to the change of the number of delivery locations, we developed a R-based simulation prototype and compared the relative efficiency, and performed paired t-test between TSP model and the cluster-based models. This study showed its excellence through this experimentation.

• Journal of Korean Academy of Nursing
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• v.33 no.6
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• pp.753-761
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• 2003

Purpose: The study was done to examine the effects of San- Yin-Jiao(SP6) acupressure treatment on subjective labor pain, length of delivery time in women during labor. Method: The study design was a randomized controlled clinical trial study using a double-blinded method. Data were collected using a structured questionnaire, a subjective labor pain scale and measurement of delivery time. The experimental group(n=29) was received SP6 acupressure and control group(n=29), SP6 touch for the duration of each uterine contraction, during 30 minutes after 3cm dilatation of cervical os. Result: The subjective labor pain scores was significantly different between the two groups(p=0.042). The total length of delivery time in the group which had the SP6 acupressure was shorter than SP6 touch group (p=0.036). Conclusion: These findings showed that SP6 acupressure was effective related to labor pain, length of time for delivery. SP6 acupressure during labor could be applied as an effective nursing treatment.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.35 no.2
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• pp.189-195
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• 2012

Parcel delivery services are a bit different from general vehicle routing problems since the services require a deliver's walking time to give the parcel to the customer. This time takes more than 1/4 of total delivery time, but it is ignored for the convenience of algorithm design in general. The walking time is too big to be ignored if we need to estimate necessary delivery time precisely as much as possible, or to design a heuristic with varying vehicle moving speeds in metropolitan area. For these reasons, the walking times are surveyed and analyzed to use on the design of VRP heuristic for parcel delivery services in this research.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2001.10a
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• pp.279-282
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• 2001

This paper is concerned with Vehicle Routing Problem to minimize the total delivery waiting time of customers. The delivery waiting time is the time taken to travel from the depot to the customer, which is important for the delivery of the perishing products or foods requiring freshness. We construct a mixed integer linear programming formulation of this problem, and CR(Clustering first Routing second) heuristic and SPH(set partitioning heuristic) are suggested. the results of computational experiments showed that these heuristics find successfully favorable solutions, in much shorter time than optimal.

• Quality Improvement in Health Care
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• v.5 no.2
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• pp.202-215
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• 1998

Purpose : To shorten processing time for variety of medical affairs of the patient at the outpatient clinic of a big hospital is very important to qualify medical care of the patient. Therefore, patient's waiting time for drug delivery after doctor's prescription is often utilized as a strong tool to evaluate patient satisfaction with a medical care provided. We performed this study to investigate factors influencing patient satisfaction related with waiting time for drug delivery. Methods : The data were collected from July 21 to August 12, 1998. A total 535 patients or their families who visited outpatient clinics of Inha University Hospital were subjected to evaluate the drug delivery time and the level of their satisfaction related, which were compared with those objectively evaluated by Quality Improvement Team. The reliability of the scale was tested with Cronbach's alpha, and the data were analyzed using frequency, t-test, ANOVA, correlation analysis and multiple regression. Results : The mean drug delivery time subjectively evaluated by the patient (16.1 13.0 min) was longer than that objectively evaluated (10.9 7.6 min) by 5.2 min. Drug delivery time objectively evaluated was influenced by the prescription contents, total amount or type of drug dispensed, etc, as expected. The time discrepancy between two evaluations was influenced by several causative factors. One of those proved to be a patient's late response to the information from the pharmacy which the drug is ready to deliver. Interestingly, this discrepancy was found to be more prominent especially when waiting place for drug delivery was not less crowded. Other factors, pharmaceutical counseling at the pharmacy, emotional status or behavior of a patient while he waits for the medicine, were also found to influence the time subjectively evaluated. Regarding the degree of patient satisfaction with the drug delivery, majority of patients accepted drug delivery time with less than 10 min. It was also found to be influenced by emotional status of the patient as well as kindness or activity of pharmaceutical counselor. Conclusion : The results show that, besides prescription contents, behavior pattern or emotional status of a patient, environment of the waiting place, and quality of pharmaceutical counseling at the pharmacy, may influence the patient's subjective evaluation of waiting time for drug delivery and his satisfaction related with the service in the big hospital. In order to improve patient satisfaction related with waiting time for drug delivery, it will be cost effective to qualify pharmaceutical counseling and information system at the drug delivery site or waiting place rather than to shorten the real processing time within the pharmacy.

• Journal of Korean Institute of Industrial Engineers
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• v.40 no.3
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• pp.283-290
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• 2014

In the flat panel display industry, to meet production target quantities and the deadline of production, the scheduler and dispatching systems are major production management systems which control the order of facility production and the distribution of WIP (Work In Process). Especially the delivery time is a key factor of the dispatching system for the time when a lot can be supplied to the facility. In this paper, we use survival analysis methods to identify main factors of the delivery time and to build the delivery time forecasting model. To select important explanatory variables, the cox proportional hazard model is used to. To make a prediction model, the accelerated failure time (AFT) model was used. Performance comparisons were conducted with two other models, which are the technical statistics model based on transfer history and the linear regression model using same explanatory variables with AFT model. As a result, the mean square error (MSE) criteria, the AFT model decreased by 33.8% compared to the statistics prediction model, decreased by 5.3% compared to the linear regression model. This survival analysis approach is applicable to implementing the delivery time estimator in display manufacturing. And it can contribute to improve the productivity and reliability of production management system.