• Journal of Distribution Science
• /
• v.11 no.9
• /
• pp.43-49
• /
• 2013

Purpose - The competitiveness of small- and medium-sized distribution companies has weakened with the entry of large distribution companies and Super Super Markets (SSMs). These companies have nationwide distribution networks and capital to take over street markets, thereby threatening the very survival of small merchants. In order to help these small- and medium-sized merchants, the government has recently reinforced distribution regulations for large distribution companies. Research design, data, methodology - The purpose of this study is to review domestic and foreign distribution regulations and to provide direction for establishing domestic distribution policies in the future. Results - The government must fully reassess its assistance policy for small and medium distribution companies to enable them to engage in differentiated competition with large retailers, based on their own strengths. This will allow all interested parties to coexist. Conclusions - Government assistance policies for small and medium distributors such as traditional markets must be reorganized. The objective is to ultimately protect small and medium distributors and allow them to coexist on their own strengths, rather than have regulations for large retail stores.

• Journal of Energy Engineering
• /
• v.23 no.3
• /
• pp.36-41
• /
• 2014

The world's overall need for natural gas (NG) has been growing up fast, especially in the residential sector. The better the estimation of residential NG consumption (RNGC) distribution, the better decision-making for a residential NG policy such as pricing, demand estimation, management options and so on. Approximating the distribution of RNGC is complicated by zero observations in the sample. To deal with the zero observations by allowing a point mass at zero, a mixture model of RNGC distributions is proposed and applied. The RNGC distribution is specified as a mixture of two distributions, one with a point mass at zero and the other with full support on the positive half of the real line. The model is empirically verified for household RNGC survey data collected in Korea. The mixture model can easily capture the common bimodality feature of the RNGC distribution. In addition, when covariates were added to the model, it was found that the probability that a household has non-expenditure significantly varies with some variables. Finally, the goodness-of-fit test suggests that the data are well represented by the mixture model.

• KDI Journal of Economic Policy
• /
• v.28 no.2
• /
• pp.199-237
• /
• 2006

The relationship between growth and distribution, which has been revealed through many empirical evidences, is that growth is distribution neutral on average and high asset inequality could be a hindrance of economic growth. The growth versus distribution dichotomy is false, as poverty reduction requires blending policy of growth and distribution both theoretically and empirically. At this present, the pro-poor growth policy, which has been recommended by the World Bank, should be urgently needed in Korea to achieve the reduction of absolute poverty through the harmony between growth and distribution. However, it is not easy to expect the reduction of absolute poverty if the Korean government, in means of reducing absolute inequality, pursues anti-polarization policy. Specifically, we cannot deny the existence of negative correlation between absolute poverty and absolute inequality on average.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.37 no.1
• /
• pp.60-67
• /
• 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 Applied Reliability
• /
• v.17 no.3
• /
• pp.188-196
• /
• 2017

Purpose: The purpose of this research is to determine optimal replacement age using non-informative prior information and Bayesian method. Methods: We propose a novel approach using Bayesian method to determine the optimal replacement age in block replacement policy by defining the prior probability with data on failure time and repair time. The Marcov Chain Monte Carlo simulation is used to investigate the asymptotic distribution of posterior parameters. Results: An optimal replacement age of block replacement policy is determined which minimizes cost and nonoperating time when no information on prior distribution of parameters is given. Conclusion: We find the posterior distribution of parameters when lack of information on prior distribution, so that the optimal replacement age which minimizes the total cost and maximizes the total values is determined.

• Proceedings of the Korean Operations and Management Science Society Conference
• /
• 2004.05a
• /
• pp.31-34
• /
• 2004

This research proposes the lateral transshipment policy that can deal efficiently with stockout in the two-echelon distribution network in supply chain. The lateral transshipment policy can be expected for retailers to response the change of customers' demands efficiently. Because of various factors, such as demand fluctuation, replenishment quantity, lead time, and so on, it is very difficult to decide optimal lateral transshipment time and quantity. We suggest the new lateral transshipment policy based on the service level in this research. The efficiency of this policy is proved by simulation experiments.

• Journal of Distribution Science
• /
• v.18 no.12
• /
• pp.5-13
• /
• 2020

Purpose: The objective of this study is to explore and prioritize strategic factors for revitalization of the sports contents distribution industry. Research design, data and methodology: To this end, strategic factors for revitalization of the sports contents distribution industry were explored based on literature review, and 14 experts were consulted to prioritize the factors. Results: Major conclusions deduced are the following: First, the factors were prioritized in order of legal policy factors, contents factors, and technical infrastructure factors. Second, subdomains of legal policy factors were prioritized in order of policy process factors, legislation enactment and revision factors, budget factors, business model factors focusing on sports contents. Third, subdomains of contents factors were prioritized in order of humanware contents factors, sports contents diversification factors, and high-quality sports contents production factors. Fourth, subdomains of technical infrastructure factors were prioritized in order of sports contents service platform factors, technical development and standardization, global distribution channel provision, and distribution metadata standardization. Conclusions: Findings of this study are of significance given that this study stratifies factors of sports contents distribution industry revitalization-about which there have been very few previous studies- analyzed mainly in terms of justifiability and timeliness, and presents preferential business strategies.

• Journal of Distribution Science
• /
• v.19 no.10
• /
• pp.75-86
• /
• 2021

Purpose: The purpose of this study is to address policy preparation and amendments on regulations in accommodation sharing for resource distribution by fostering better adjustment in a society, since previous studies are rarely investigated in those issues. After conduct exploratory research about laws and regulations of accommodation sharing, this study investigates how effective policy instruments improve trust in accommodation sharing and potential growth by investigating the perceptions of individuals and by applying policymaking procedures. Research design, data and methodology: The data is collected via online survey. Structural equation modeling with confirmatory factor analysis and non-recursive model with multiple regression analysis were applied. Results: The results of this study found that among proposed policy instruments, individuals perceive local ordinances, government publicizing and campaign, trust marks, taxation, penalties, and government controls are effective to build trust in accommodation sharing. Policies geared toward the majority of the public are more effective, while governments should establish a strategic approach as to which policies are introduced in public and which role the government plays in the departments. Conclusions: The results provide policy and managerial implications how to enhance distributional values of accommodation sharing economy with proper preparations and amendments of laws and regulations.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.21 no.48
• /
• pp.37-52
• /
• 1998

In many distribution systems important cost reductions and/or service improvements may be achieved by adopting an efficient inventory policy and proper selection of facilities. These efficiency improvements and service enhancements clearly require an integrated approach towards various logistical planning functions. The areas of inventory control and transportation planning need to be closely coordinated. The purpose of this paper is to construct an integrated model that can minimize the total cost of the transportation and inventory systems between multiple origin and destination points, where in origin point i has the supply of commodities and in destination point j requires the commodities. In this case, demands of the destination points are assumed random variables which have a known probability distribution. Using the lot-size reorder-point policy and the safety stock level that minimize total cost we find optimal distribution centers which transport the commodities to the destination points and suggest an optimal inventory policy to the selected distribution center. We also show if a demand greater than one unit will occur at a particular time, we describe the approximate optional replenishment policy from computational results of this lot-size reorder-point policy. This model is formulated as a 0-1 nonlinear integer programming problem. To solve the problem, this paper proposes heuristic computational procedures and a computer program with UNIX C language. In the usefulness review, we show the meaning and validity of the proposed model and exhibit the results of a comparison between our approach and the traditional approach, respectively.

• Proceedings of the Korean Operations and Management Science Society Conference
• /
• 1990.04a
• /
• pp.222-244
• /
• 1990

A multi-echelon structure of manufacturing and distribution system in considered, where the raw materials are transformed into a finished good through a number to manufacturing echelons and it is distributed to the lower echelons(retailers, or customers). The raw material, work-in-process, finished good inventory and the distribution costs are unified into one model. The objective is to determine the ordering policy of raw materials, manufacturing lot size, the number of sub-batch and the distribution policy of the finished good which minimize the annual total system cost. A computer program for a heuristic search technique is developed, by which a numerical example is examined.