Search

There are 3 combinations of teacher-student interaction in school, for the purpose to understand what Interactional deficiency happened in campus, we examined these 3 combinations, 358 college students joined the investigated to find out what they want and what bother them most. We found that there really problems between teachers and students. Besides, from co- authorship network analysis, we found there are also quite a few gaps among college teachers. We collected co-authorship data from 85 journal papers in the field of industrial and management science (IMS) with a time span of twenty years (1997-2016). A bibliometric network is constructed and UCINET 6 applied to calculate three centrality measures (out-degree, in-degree, and betweenness) for individual authors in this network. Also discussed the two subjects I taught to find out students’ learning effectiveness. The results confirm our argument and the mechanism is discussed.

This cross-sectional study aimed to compare risk factors for chronic kidney disease (CKD) in older adults with or without dyslipidemia and/or cardiovascular diseases (CVD) in Taipei City, Taiwan. The data on 2912 participants with hyperlipidemia and/or CVD and 14,002 healthy control participants derived from the Taipei City Elderly Health Examination Database (2010 to 2011) were analyzed. The associations between conventional CKD risk factors and CKD were comparable between participants with and without hyperlipidemia. Participants with high uric acid and BUN had a higher risk of CKD if they also had hyperlipidemia and CVD [odds ratio (OR) in uric acid = 1.572, 95% CI 1.186&ndash, 2.120, p &lt, 0.05, OR in BUN = 1.271, 95% CI 1.181&ndash, 1.379, p &lt, 0.05]. The effect was smaller in participants with hyperlipidemia only (OR in uric acid = 1.291, 95% CI 1.110&ndash, 1.507, p &lt, OR in BUN = 1.169, 95% CI 1.122&ndash, 1.221, p &lt, 0.05). The association between uric acid/BUN and CKD was also observed in the healthy population and participants with CVD only. In conclusion, older adults with hyperlipidemia and CVD are at high of CKD. Physicians should be alert to the potential for CKD in older patients with hyperlipidemia and CVD.

The development of robot has gradually been completed since the middle of the last century. It mainly used in industrial automation production, such as food, medicine, automobile, hardware and other industries. All industries have to rely on the robot’s manipulation. Due to the strong demand of the market, colleges and universities competing to open relevant courses to train the talents of the operation. However, the robot operation-teaching course is relatively lacking in the market. The author has been teaching robotics for more than 20 years. Since the first purchasing Mitsubishi robot in 1995, the second and third generation robots also purchased one after the other. At now, we have total five robots in the laboratory. In this paper we combined with the experience accumulated in the past, and used the spirit of MTM, industrial engineering and robotics, wrote a set of robotic operation teaching courses for industrial usage, in order to facilitate the entry of students and more proficient in automated production. The purpose is to foster operating talent for industrial need.

For deteriorating items with seasonal demand, a supplier usually requests that the buyer (retailer) prepays a fraction of the acquisition cost as a deposit. The expiration date of a deteriorating item is an important factor in a buyer's purchase decision. Despite its importance, relatively little attention has been paid to the effects of the expiration date; the versions of economic order quantity models that are available consider fixed deterioration rates. This paper considers a more realistic situation where the deterioration rate of a product gradually increases as the expiration date approaches. In this paper, the optimal cycle time and the cycle fraction of no shortages are the decision variables that minimize the total cost. The total annual relevant cost is shown to be strictly pseudo-convex for each of the decision variables, which simplifies the search for the global solution to a local minimum. This paper provides an improvement on earlier work, as it provides an optimal rather than a near-optimal solution. Several numerical examples are provided to illustrate the behaviour of the model and to highlight some managerial insights.

This study carries out an in-depth analysis of the litigated patent citation network in the LED industry, in terms of the nature of the network and the technical knowledge flow. In this way, this study provides a new idea that the technical knowledge flow in a citation network can be analyzed based on litigated patents. This research consists of three phases, namely data collection and collation, matrix and network establishment, and network analysis. As for the network analysis, it includes visualized analysis, topological structure analysis, and node centrality analysis. The analytical results show that the degree distribution of the citation network follows a power law, which is a feature of scale-free networks. Among the technical knowledge flow for the LED patents, the most important companies include Philips, Cree, Nichia, Osram, Seoul Semiconductor, and GE. The research perspective in this research can be provided for reference of other studies on the technical knowledge flow in other fields.

In this article, we study inventory models to determine the optimal special order and maximum saving cost of imperfective items when the supplier offers a temporary discount. The received items are not all perfect and the defectives can be screened out by the end of 100% screening process. Three models are considered according to the special order occurs at regular replenishment time, non-regular replenishment time, and screening time of economic order quantity cycle. Each model has two sub-cases to be discussed. In temporary discount problems, in general, there are integer operators in objective functions. We suggest theorems to find the closed-form solutions to these kinds of problems. Furthermore, numerical examples and sensitivity analysis are given to illustrate the results of the proposed properties and theorems.

The article designs a mobility solution for direct selling industry by smartphone. The design of the mobility solution focuses on Mobile Learning (M-Learing) that assists the direct selling company and direct sales to enhance their sales performance and company operation anytime and anywhere with mobile smartphone. It also applies the key concept of enhancing the selling skill to familiar with direct sell company’s product anytime. On the other hand, Mobile Learning can play a role of standardization with multi-media contact. In the study, prototype systems were designed with a set of smartphone user interfaces. The study selected two groups of participants: one used existing learning content in personal computer, and another one used the same content with modified format via smartphone, 300 people in total. The evaluation of the result found that there were more than 80% of mobile solution participants getting higher scores in the evaluation of learning result and 12 times higher visibility of product than traditional way on personal computer. This is a proven mobile solution which can increase the performance of sales in direct selling industry.

Many scholars have explored ways to identify the positions and roles of companies in a patent citation network but their analyses lack structure. Accordingly, this study proposes a structured approach to identify these positions and roles in a network by integrating social network and multivariate analysis. First, an adjacency matrix is constructed based on the graph theory to indicate the correlation between collected data. The next step is to conduct the network analysis and compute the statistics of network centrality. Then, the principal component analysis was made to break down these statistics to a few principal components. These selected principal components are then used as cluster variables for a two-step cluster analysis. Hierarchical cluster analysis was first made to determine the proper number of clusters and then K-means clustering was used for dividing actors into k proper positions. In addition, the multivariate analysis of variance (MANOVA) is conducted to test the significance between those positions. After that, a new adjacency matrix was built upon the rearrangement of k positions. The frequency within and between these positions is then computed and the cut-off value is determined to distinguish the difference between these frequencies. Finally, each position will be labeled based on its characteristics and the relationship within and between these positions. After the structured approach is constructed, the litigation-related network of smartphone makers will be used as empirical evidence. The results show that this structured approach can effectively distinguish the position and role of a company in a network.

Taiwan’s economic strength has changed drastically in the past decade because of political and economic reasons; however, in order to cope with international environment, higher education must increase its breakthrough to meet the needs of enterprises. School curriculum also has to be timely changes and adjustments. This study will analyze school learning in several directions, use questionnaire to investigate students’ learning stress, to find out where students’ pressure lie. Also, outsourcing employers’ satisfaction survey to find out what do enterprises wants to solve with the drop problem between school and enterprise. Taking Oriental Institute of Technology (OIT) as an example; over the past ten years, OIT has used overseas internships to help students overcome learning difficulties. Overseas practice courses include Penang Malaysia and Suzhou China had gained tremendous breakthrough.

In this article, we generalize Lev and Weiss's (1990) finite horizon economic order quantity (EOQ) model with cost change to the inventory system with deterioration. Supplier announces some or all of cost parameters may change after a decided time. Depending on whether the inventory is depleted at the time of the last opportunity to purchase before some or all of the cost parameters may change, there are two types of inventory models to be discussed. The main objective of this paper is to identify the optimal ordering policy of the inventory system by comparing the minimum cost of the two types of models. We suggest a finite horizon EOQ model to combine the above two types and propose a theorem that can quickly identify the optimal policy of the suggested model. In considering temporary price discount problem and discrete-time EOQ problem, in general, there are integer operators in mathematical models, but our approach offers a closed-form solution to these kinds of problems. Numerical examples are presented to demonstrate the results of the proposed properties and theorem.

In this article, we use closed-form solutions to solve Wee and Yu (1997) deteriorating inventory model with a temporary price discount and Martin’s (1994) EOQ model with a temporary sale price. In Wee and Yu (1997) and Martin’s (1994) , the benefits during the temporary price discount purchase cycle are represented by their objective functions. Wee and Yu (1997) and Martin (1994) only used search methods to find approximate solutions. Following the theorems we suggested, you can find closed-form solution directly when there are integer operators involve in an objective function. Using the data of Wee and Yu (1997) and Martin (1994) , we can find the results are more quick and more accurate.

This paper considers the problem of estimation for binomial proportions of sensitive attributes in the population of interest. Randomized response techniques are suggested for protecting the privacy of respondents and reducing the response bias while eliciting information on sensitive attributes. By applying the Wilson (J Am Stat Assoc 22:209–212, 1927) score approach for constructing confidence intervals, various probable point estimators and confidence interval estimators are suggested for the common structures of randomized response procedures. In addition, efficiency comparisons are carried out to study the performances of the proposed estimators for both the cases of direct response surveys and randomized response surveys. Circumstances under which each proposed estimators is better are also identified.

In the beginning of 21 century, there is dramatically change in education, whatever students’ age, all enthusiastic in cell-phone and game playing, as my experience teaching in the university of OIT, how can I draw students’ attention in the class is difficult. This article is from the perspective of a teacher to understand the current teaching problems. Including the two courses I taught, economic and management, I used the comparison of average score and standard deviation, which have a slowly upward. I also compare students’ learning questionnaires which I conducted in 2014-2017, it reflects students’ learning dilemmas, these deserves our in-depth study. Why students skip classes? Why their learning effectiveness decreasing, also the problems emerges and this point to school teachers, I inspect teachers’ performance in the paper to assure if there is room for teachers’ improvement.

This article applies the threshold autoregressive model proposed by Caner and Hansen (2001) to examine both linearity and stationarity of China's real exchange rate vis-Ã -vis her 9 trading partner countries over the period of January 1986 to October 2009. Two main conclusions are drawn. Firstly, the empirical results indicate that China's real exchange is a nonlinear process. Secondly, a unit root in real exchange rate was found for most of the cases under study. This result provides no support for purchasing power parity for China relative to their major trading partner countries.

In this article, a simple approach with two basic inequalities (Cauchy–Schwarz inequality and arithmetic–geometric mean inequality) is used to solve the integrated single-vendor single-buyer inventory problem developed by Wu and Ouyang (Wu, K.-S. and Ouyang, L.-Y., 2003. An integrated single-vendor single-buyer inventory system with shortage derived algebraically. Production Planning & Control, 14 (6), 555–561). Without the method of completing perfect square, the proposed approach yields the global minimum of the integrated total cost per year more easily than the algebraic approach used by Wu and Ouyang (2003). In addition, for people without the background of calculus, it is more useful to determine the buyer's economic order quantity and the vendor's optimal number of deliveries.

Retail chains in China have been booming in the past 5 years, particularly for small 100 ft2 stores. This study focus on evaluating the location of small chain stores, including 5 major concerns regarding site selection: (a) stream of people, (b) group of stores, (c) location characteristics, (d) store space, and (e) rent proportional to sales. We divided these categories into 9 major factors for store evaluation: (a) area residents, (b) crowd flow rate in front of a store, (c) target customer number within a 1, 500 m radius, (d) complementary stores within 30 m, (e) exclusive stores within 20 m, (f) suitable location, (g) unsuitable location, (h) usable store space, and (i) ratio between rent and sales amount. This research tests our evaluation model using the multifactor line regression method. The proven approach provides the retailer with a fast and reliable store site-selection method to acquire a profitable new store.

Traditional research identified equilibrium marketing channel coordination by using a classical demand function, and classical economic theory often ignored transaction costs. This paper develops a transaction cost linear demand function to investigate channel decision marking when transaction costs exist. Game theory is used to compare a non-cooperative equilibrium of a differential game played under Stackelberg strategies. By focusing on the effect of the distributor's transaction costs with respect to the marketing decision variables, especially the transaction cost and profit distribution, a fuller understanding of the entire decision structure is obtained. Some results are surprising, which set up the benchmark comparisons for future work in this area.

This paper considers the problem of estimating the population proportion when the study variable is sensitive in nature. Some indirect randomized response techniques are proposed, which maintain the requirement of efficiency and protection of confidentiality. In addition to unbiasedly estimating population proportion and variance, an efficiency comparison is also carried out to examine the performance of the proposed techniques. It is found that the proposed technique is more efficient than Warner [11], and Christofides [5] techniques.

An important decision faced by sales manager's toady is precisely how much compensationshould be offered to the salesforce. In this paper, we adopt the model structure and prospecting technology of Joseph [11]. We set up a dynamic mathematical model to study how a firm can design an optimal incentives scheme in order to pursue the maximum profit from the salesforce effort in target market, while the firm launch new product. From the sensitivity analysis of the optimal solution of the model this paper discusses the effects of the effort level, commission rate and total profits.

In this paper, we present results pertaining to investigations concerning randomized response sampling. We consider a simple generalization for some existing investigations, and then provide the suitable choices for design parameters. It is also demonstrated the superiority of the proposed procedure over Warner (1965) procedure.

In this paper, an alternative randomized response procedure is given that allows us to estimate the population proportion in addition to the probability of providing a truthful answer. It overcomes a difficulty associated with traditional randomized response techniques. Properties of the proposed estimators as well as sample size allocations are studied. In addition, an efficiency comparison is carried out to investigate the performance of the proposed technique.

In this paper, we consider fixed size sampling plans for which the first order inclusion probabilities are identical for all units and the second order inclusion probabilities are constant for every pair-wise unit. The statistical conditions are identified under which these plans are equivalent to the usual simple random sampling plan. These sampling plans are constructed to reduce undesirable units.

Retail chains, particularly those with small stores of approximate area of 150-180 square feet, are expanding aggressively in China. Because studies and essays related to this phenomenon are rare, this study evaluated the ideal locations for such chain stores. The three major aspects of site selection are population structure of the trade area, traffic-carrying capacity, and attraction of the facilities; these aspects can be decomposed into ten site-selection elements: crowd flow in front of the retail store, resident population, target number of clients, complementary stores, mutually exclusive shops, advantages in establishing the store, disadvantages in establishing the store, actual usable space in the store, ratio of rent to gross profit volume and rate of investment return. Multiple stepwise regression was applied in this study. The evaluation model provides retailers a fast and reliable store selection method for acquiring profitable new stores.

Recently, Papachristos and Skouri developed an inventory model in which unsatisfied demand is partially backlogged at a negative exponential rate with the waiting time. In this article, we complement the shortcoming of their model by adding not only the cost of lost sales but also the non-constant purchase cost.

In economic order quantity (EOQ) models, it is often assumed that the payment of an order is made on the receipt of items by the inventory system. However, such an assumption is not quite practical in the real world. Under most market behaviors, it can be easily found that a vendor provides a credit period for buyers to stimulate demand. In this paper, a varying rate of determination and the condition of permissible delay in payments used in conjunction with the economic order quantity model are the focus of discussion. Numerical examples are presented to illustrate the proposed models.

This paper is intended as an investigation of constructing almost unbiased estimators of finite population mean by suitably combining a set of transformed estimators. A generalization of Tracy, Singh and Singh (1999) estimator is suggested, and, to the first degree of approximation, each member of the proposed class is as efficient as the usual regression estimator. Further, it is proved that Reddy (1973) estimator is also a particular case of the proposed class. To the second degree of approximation, a new almost unbiased estimator is established. Moreover, an empirical study is carried out in order to understand better the performance of the new estimator compared to the usual unbiased B, ratio BR and Tracy et al. (1999) estimators.

Singh (1999) suggested a safe randomized response technique to deal with quantitative sensitive characters through Moors' (1971) strategy, but the variance and percent relative efficiency of the estimator of population mean seem to be incorrect. This note corrects them, and finds Singh's strategy is superior to Greenberg et al. (1971) strategy in the sense of having smaller variance.