• Journal of Korean Society for Quality Management
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• v.31 no.4
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• pp.1-18
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• 2003

Quality is a critical competitive factor in today's environment because of the impact of quality on costs and delivery. Many companies regard quality as a key concept of company strategy in order to achieve the competitive edge. Measuring and reporting quality cost is the first step in quality management program. The supposition of quality cost model is that investment in prevention activities will bring rewards from reduced failure costs, and that further investment in prevention activities will show profits from reduced appraisal costs. In this study, the degree of quality cost deviation is conceptualized. This means a deviation between the ideal and present ranking in the amounts of quality cost categories. This study analysed that the effect of its deviation on quality management activity and performance variables. However, there are no difference in these variables. The major reason is that most of companies are endeavoring for quality management but operating quality cost system unsystematically. The review against a prevention and appraisal activity is necessary.

• The Journal of Information Technology
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• v.6 no.3
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• pp.97-113
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• 2003

The efficient conduct of the win-win strategic alignment in leisure industry is the one of the best way to cope with current situation. The purposes of this study are to identify the change of theme park consumers' visit intention when theme park joins with the membership program(reduced price) & Reward program of Network marketing system. From this study, it was found as follows : First, Membership progeam(reduced price) affects the change of consumer's preference to theme park.($before\;12.6\%,\;arter\;49.1\%$) Second, Network Marketing(reduced price + win-win rewards program) affects the change of consumer's preference to theme park.($before\;12.6\%,\;arter\;77\%$)

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2001.10a
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• pp.199-202
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• 2001

This article deals with stochastic reliability systems that include a repair facility and unreliable machines: the main facility of working and an auxiliary facility of "super-reserve" machines. The number of super-reserve machines are random number with a arbitrarily distribution and working machines break down exponentially. Defective machines line up for repair, whose durations are arbitrarily distributed. Refurbished machines return to the main facility. If the main facility is restored to its original quantity, the repair facility leaves on routine maintenance until all of super-reserve machines are exhausted. Then, the busy period is regenerated. The whole system also falls into the category of closed queues, with more options than those of basic models. The techniques include two-variate Markov and semi-regenerative processes, and a duality principle, to find the probability distribution of the number of intact machines. Explicit formulas obtained demonstrate a relatively effortless use of functionals of the main stochastic characteristics (such as expenses due to repair, maintenance, waiting, and rewards for higher reliability) and optimization of their objective function. Applications include computer networking, human resources, and manufacturing processes.

• 제어로봇시스템학회:학술대회논문집
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• 1990.10b
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• pp.1234-1239
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• 1990

In this paper, we propose a new type of decentralized learning automata for the control finite state Markov chains with unknown transition probabilities and rewards. In our scheme a .betha.-type learning automaton is associated with each state in which two or more actions(desisions) are available. In this decentralized learning automata system, each learning automaton operates, requiring only local information, to improve its performance under local environment. From simulation results, it is shown that the decentralized learning automata will converge to the optimal policy that produces the most highly total expected reward with discounting in all initiall states.

• International Journal of Control, Automation, and Systems
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• v.6 no.2
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• pp.282-287
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• 2008

In distributed mobile robot systems, autonomous robots accomplish complicated tasks through intelligent cooperation with each other. This paper presents behavior learning and online distributed evolution for cooperative behavior of a group of autonomous robots. Learning and evolution capabilities are essential for a group of autonomous robots to adapt to unstructured environments. Behavior learning finds an optimal state-action mapping of a robot for a given operating condition. In behavior learning, a Q-learning algorithm is modified to handle delayed rewards in the distributed robot systems. A group of robots implements cooperative behaviors through communication with other robots. Individual robots improve the state-action mapping through online evolution with the crossover operator based on the Q-values and their update frequencies. A cooperative material search problem demonstrated the effectiveness of the proposed behavior learning and online distributed evolution method for implementing cooperative behavior of a group of autonomous mobile robots.

• Journal of Korean Institute of Industrial Engineers
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• v.33 no.3
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• pp.303-311
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• 2007

This study deals with a type of vehicle routing problem faced by manager of some department stores during peak sales periods. The problem is to find a set of traveling paths of vehicles that leave a department store and arrive at a destination specified for each vehicle after visiting customers without violating time and capacity constraints. The mathematical model is formulated with the objective of maximizing the sum of the rewards collected by each vehicle. Since the problem is known to be NP-hard, a heuristic algorithm is developed to find the solution. The performance of the algorithm is compared with the optimum solutions obtained from CPLEX for small size problems and a priority-based Genetic Algorithm for large size problems.

• The Journal of Asian Finance, Economics and Business
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• v.2 no.2
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• pp.35-38
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• 2015

Managers, supervisors, executives and others whose office is to get work done by staff in organizations would desire a motivated workforce. Despite the advances in technology, any system has tot have motivated people to achieve its goals and at some time or other, no one in charge of a unit has failed to wonder, 'How best do I get individuals and groups motivated'? What is motivation, how can employees be motivated to direct their energies towards execution of the job and how is this achieved on a sustained on-going basis? Is a highly motivated employee necessarily an ace performer? These are the issues which the author would address in the present paper. The authors has conducted an empirical study by administering motivational test and collected data from 100 corporate of Bhopal region.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.18 no.35
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• pp.61-70
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• 1995

The objective of this study is In develope on productivity improvement program, which named PPM(Participative Productivity Management). This program consists of 3 stages which are Goal setting and sharing. Productivity measurement and evaluation, and Gain sharing. Each concepts of NGT(Nominal Group Technique), Objectives matrix method and Gain sharing was applied to form this frame. This program rewards members of an organization for their contributions to improve business results. It also fits perfectly with today's participative management philosophies. Furthermore, the company and its employees could be partners a win-win situation, and one more barrier to a high-involvement culture should be eliminated.

• The Korean Journal of Health Service Management
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• v.7 no.4
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• pp.233-241
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• 2013

The purpose of this study is to investigate factors affecting workers' knowledge sharing on knowledge sharing and innovation behavior in general hospitals. This study is based on factors of knowledge sharing such as incentives, reciprocal benefits, behavioral control, and subjective norm, CEO's support, rewards system, IT system, and trust. Data were assessed using 148 workers who work in 3 hospitals in Seoul, Kyunggi, Chunkcheong-do. Data were collected with self-administered questionnaires from April 1 to 31 in 2013 and analyzed SPSS 18 and SEM(structural equation modeling). The results of the study were as follows. First, knowledge sharing intention as well as innovation behavior was statistically significant in behavioral control and IT system. Second, knowledge sharing intention turned out to be positive effect for innovation behavior. This study identified a couple of factors affecting workers' knowledge sharing on knowledge sharing intention and innovation behavior. The the implications of these factors are discussed and areas for developing hospital's knowledge management strategies are fostered and knowledge sharing intention and innovation behavior.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.31 no.5
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• pp.889-899
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• 2021

This paper proposes a reliable data sharing scheme on the internet of vehicles (IoV) by utilizing blockchain technology for constructing a decentralized system approach. In our model, to maintain the credibility of the information messages sent by the vehicles to the system, we propose a reputation rating mechanism, in which neighboring vehicles validate every received information message. Furthermore, we incorporate an incentive mechanism based on smart contracts, so that vehicles will get certain rewards from the system when they share correct traffic information messages. We simulated the IoV network using a discrete event simulator to analyze network performance, whereas the incentive model is designed by leveraging the smart contract available in the Ethereum platform.