• Journal of Distribution Science
• /
• v.17 no.7
• /
• pp.39-44
• /
• 2019

Purpose - This research was to help distribution of Go Bags (Survival Bag or Disaster Supplies Kit), which are useful for disaster preparedness, by surveying precomposed Go Bag items in internet shopping malls. Research design, data, and methodology - We checked 15 items including food, water, first aid kit, radio, flashlight or candles, battery, lighter or matches, whistle, blanket, towel, toilet paper, personal sanitations, raincoat, can opener, disaster manual in Go Bags based on the recommendations by the Ministry of the Interior and Safety. The number of items and price, domestic product, accreditation were compared using a Chi-square test. The Pearson's R was also used to summarize the strength of the linear relationship between the number of items and price, sub-items. Results - Mean of the sub-items was 21, and mean of the items was 8. There was a statistically significant difference between the number of items size and the price level (p=.014). There was also a statistically significant difference between the number of items and sub-items (p<.001), and correlation coefficient was a positive linear relationship of .467. Conclusions - Only eight were sold in the internet shopping malls as a precomposed Go Bag items. Even the approved Go Bags had no difference in the number of items. Higher prices had a relatively greater number of items, and it had a positive correlation between the size of sub-items and items.

• Korean Management Science Review
• /
• v.31 no.4
• /
• pp.135-150
• /
• 2014

This paper analyzes the operational efficiency of 91 individual retail stores in Seoul by a two-step procedure. In the first step, a data envelopment analysis (DEA) model is used to identify the efficiency scores. Three inputs (store size, number of items, and number of employees) and two outputs (sales and number of customers) are used for the efficiency measurement. In the second step, a Tobit regression model is used to identify the drivers of efficiency. DEA efficiency scores are used to test hypotheses on the impact of five independent variables, namely store age, number of items per store size, number of items per employee, trade area index, and number of competitors. Results of the Tobit analysis show that number of items per store size, number of items per employee, and number of competitors play a significant role in influencing the operational efficiency of retail stores. Managerial implications of the study are discussed.

• Management Science and Financial Engineering
• /
• v.19 no.1
• /
• pp.25-28
• /
• 2013

Consider the inverse bin-packing number problem. Given a set of items and a prescribed number K of bins, the inverse bin-packing number problem, IBPN for short, is concerned with determining the minimum perturbation to the item-size vector so that all the items can be packed into K bins or less. It is known that this problem is NP-hard (Chung, 2012). In this paper, we investigate some special cases of IBPN that can be solved in polynomial time. We propose an optimal algorithm for solving the IBPN instances with two distinct item sizes and the instances with large items.

• Journal of the Korean Home Economics Association
• /
• v.35 no.3
• /
• pp.221-230
• /
• 1997

This study attempts to examine the average number of stored items of apartment residents composed of 4 family members and to compare the quantitative differences of the stored items according to the apartment size and the stage of life-cycle. The finding shows that the number of items stored in apartments increases as the size of apartments and the stag of life-cycle of husband and wife living in the apartments of more than 180$m^2$ increase approcimately twice, compared to those in the apartments of less than 83$m^2$. Therefore, the storage space in apartments should be designed more effectively considering the change of the stored items in relation to of the apartment size and their stage of life-cycle. This study suggests the specific design of the built-in closets for clothings, sheets, accessories and shoes based on the number of the items.

• Journal of Preventive Medicine and Public Health
• /
• v.25 no.1 s.37
• /
• pp.64-72
• /
• 1992

To provide the information necessary for the insurance medicine management plan, price discount rates among the insurance medicines were studied. A total of 2,107 items of insurance medicine of which prices were discounted via governmental inspections of real transactional process of insurance medicine were analysed. The conclusions are as follows; 1. Among the variables relevant to the characteristics of manufacturers, price discount rates of insurance medicines were statistically significant with production rankings of manufacturers, incorporation year, existence of investments by foreign corporation, existence of a research institute, and enrollment in the exchange. And among the variables relevant to the properties of medicines, the number of enrolled items which have the same components, classification, the date of new enrollment, the sales of items, and the number of raw materials in the items were statistically significant. 2. Stepwise multiple regression was done to identify the factors which affect the price discount rates of insurance medicines. The number of enrolled items which have the same components, production rankings of manufactures, classification number (medicines for function of tissue cells), incorporation year(1940-1949), existence of investments by foreign corporations, classification number (anti-germ medicines), number of raw materials In the items, the sales of items, and medicines whose major objective is not treatment were significant variables and the $R^2$-value for these variables was 21.2%. Considering all of the above results, for management of insurance medicines, it seems important that the real transactional prices of insurance medicines should be identified systematically, focusing on the properties which affect the price discount rates of insurance medicines.

• Industrial Engineering and Management Systems
• /
• v.12 no.3
• /
• pp.172-180
• /
• 2013

We herein consider a stochastic multi-item inventory management problem in which a warehouse sells multiple items with stochastic demand and periodic replenishment from a supplier. Inventory management requires the timing and amounts of orders to be determined. For inventory replenishment, trucks of finite capacity are available. Most inventory management models consider either a single item or assume that multiple items are ordered independently, and whether there is sufficient space in trucks. The order cost is commonly calculated based on the number of carriers and the usage fees of carriers. In this situation, we can reduce future shipments by supplementing items to an order, even if the item is not scheduled to be ordered. On the other hand, we can reduce the average number of items in storage by reducing the order volume and at the risk of running out of stock. The primary variables of interest in the present research are the average number of items in storage, the stock-out volume, and the number of carriers used. We formulate this problem as a multi-objective optimization problem. In a numerical experiment based on actual shipment data, we consider the item shipping characteristics and simulate the warehouse replenishing items coordinately. The results of the simulation indicate that applying a conventional ordering policy individually will not provide effective inventory management.

• Journal of Korean Academy of Nursing
• /
• v.28 no.3
• /
• pp.602-615
• /
• 1998

The purpose of this descriptive study was to identify the homecare needs of the discharged patient with cancer as perceived by nurses caring hospitalized cancer patients. At two hospitals in Gyeongnam, 74 nurses responded to an open-ended questionnaire consisting of four need categories : 1) educational & informational need, 2) physical need, 3) emotional need, 4) social need. Respondents were asked to list above ten needs of cancer patient in each category. Two researchers analyzed the data by content analysis method. The findings are summarized as follows : 1) A total of 1,417 need items were generated by nurses. The largest number of needs were in the educational & informational need category(475 items, 36.3%). Physical(414 items, 31.6%), emotional (237 items, 18.1%) need were the second, third largest, and social(184 items, 14.0%) need made up the smallest category. 2) In the educational & informational need category, there were seven subcategories of prognosis, diet & exercise, medication & pain, wound care, folk remedy, personal hygiene, comfort. The need items related to prognosis of cancer accounted for almost a half(48.2%) of the total. 3) In the physical need category, there were ten subcategories of personal hygiene, skin & tissue, nutrition, side effect on treatment, exercise, pain, elimination, equipment, comfort & safety, others. The largest number of needs were in subcategory of the personal hygiene(82 items, 19.8%). 4) In the emotional need category, there were four subcategories of emotional support related to disease, emotional support related to routine life, spiritual support, maintenance of relationship with nurse & doctor. The largest number of needs were in subcatgory of the emotional support related to disease(96 items, 40.5%). 5) In the social need category, there were five subcategories of support for social life, household management, legal support, the use of volunteer service, financial support. The largest number of needs were in support for social life subcategory(58 items, 31.5%).

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.13 no.22
• /
• pp.17-24
• /
• 1990

The inventory problem of the repairable items is modeled as a queueing network for the purpose of determining the number of spares in a multi-echelon repair system subject to stochastic failure. In this paper, we are considering a finite number of repairman at each base and the depot. After repair job has completed, the repaired items are returned to the base where they have originated. For the system, we identify the distribution of the total number of failed items which belongs to a base and develope a method to find spare inventory levels of the repairable items at each base to satisfy a specified minimum fill rate.

• Journal of Nutrition and Health
• /
• v.30 no.1
• /
• pp.91-99
• /
• 1997

We have studied the major food sources of minerals and vitamin based on the data from the National Nutrition Survey in 1993. The most important food sources was anchovy for calcium, spinach for vitamin A, and kimchi for vitamin C. The primary source of iron, thiamin, riboflavin and niacin was rice. Number of foods providing 90% of individual nutrient intake were 54 items for calcium, 40 items for iron, 20 items for vitamin A, 25 items for thiamin, 29 items for riboflavin, 39 items for niacin and 18 items for vitamin C. Among regions, amount of nutrients from same foods(10 more important food source) didn't show any significant differences (p>0.05) in minerals and vitamins studied. Over all rice was found to be the most important sources of minerals and vitamins.

• Phonetics and Speech Sciences
• /
• v.2 no.4
• /
• pp.193-212
• /
• 2010

The purpose of our study was to provide effective speech evaluation items examining the variables of speech that successfully predict the speech intelligibility in CP children. The subjects were 55 children with spastic type cerebral palsy. As for the speech evaluation, we performed a speech subsystem evaluation and a speech intelligibility test. The results of the study are as follows. The evaluation task for the speech subsystems consisted of 48 task items within an observational evaluation stage and three levels of severity. The levels showed correlations with gross motor functions, fine motor functions, and age. Second, the evaluation items for the speech subsystems were rearranged into seven factors. Third, 34 out of 48 task items that positively correlated with the syllable intelligibility rating were as follows. There were four items in the observational evaluation stage. Among the nonverbal articulatory function evaluation items, there were 11 items in level one. There were 12 items in level two. In level three there were eight items. Fourth, there were 23 items among the 48 evaluation tasks that correlated with the sentence intelligibility rating. There was one item in the observational evaluation stage which was in the articulatory structure evaluation task. In level one there were six items. In level two, there were eight items. In level three, there was a total number of eight items. Fifth, there was a total number of 14 items that influenced the syllable intelligibility rating. Sixth, there was a total number of 13 items that influenced the syllable intelligibility rating. According to the results above, the variables that influenced the speech intelligibility of CP children among the articulatory function tasks were in the respiratory function task, phonatory function task, and lip and chin related tasks. We did not find any correlation for the tongue function. The results of our study could be applied to speech evaluation, setting therapy goals, and evaluating the degree of progression in children with CP. We only studied children with the spastic type of cerebral palsy, and there were a small number of severe degree CP children compared to those with a moderate degree of CP. Therefore, when evaluating children with other degrees of severity, we may have to take their characteristics more into account. Further study on speech evaluation variables in relation to the severity of the speech intelligibility and different types of cerebral palsy may be necessary.