• Proceedings of the Safety Management and Science Conference
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• 2002.05a
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• pp.237-241
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• 2002

This paper deals with the problem of determining the buyer's economic lot sizing policy for exponentially deteriorating products under trade credit. It is also assumed that the ordering cost consists of a fixed set-up cost and a freight cost, where the freight cost has a quantity discount offered due to the economies of scale. We formulate the mathematical model and the solution algorithm is developed based on the properties of an optimal solution.

• Journal of Digital Convergence
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• v.14 no.3
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• pp.25-33
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• 2016

The author of this study conducted a survey with the expert groups who are currently handling hands-on works in convergence cities, ordering organizations, construction management companies, contractors, schools and research institutes, etc. The results of empirical analysis can be summarized as follows: First, there is no difference in distribution among the problems with position and the bidding system of private contracts. Second, there is relevance between position and the adequacy of current design VE ordering system, indicating different recognition. Third, there is no difference in distribution between organizations and the adequacy of current design VE ordering system. Fourth, there is difference in distribution between organizations and service price adequacy and there is difference in recognition by organization when organizations mutually recognize the service price adequacy. Fifth, there is difference in distribution between career and the necessity of the participating companies' qualification. Sixth, there is difference in distribution for the adequacy of career and the adequacy of participating companies' requirements. No problems have been found with the adequate service period according to private contract bidding system, but the necessity of participating companies' qualification and participating companies' requirements.

• Industrial Engineering and Management Systems
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• v.3 no.1
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• pp.38-51
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• 2004

Over the years, most or many companies have focused their attention to the effectiveness and efficiency of their business units. As a new way of doing business, these companies have begun to realize the strategic importance of planning, controlling, and designing their own supply chain system. This paper analyzes the coordination issues in supply chains that consist of one manufacturer and multiple retailers operating under uncertain end customer demand and delivery lead-time. We use the Genetic Algorithm (GA) to determine the appropriate ordering and inventory level at which the manufacturer and multiple retailers can maximize the profit of the chain. This is performed under three controlling policies: the traditionally centralized controlling policy under the manufacturer's perspective, the entire chain’s perspective, and lastly the coordinating controlling policy with an incentive scheme. The outcome from the study reveals that the coordinating controlling policy with an incentive scheme can outperform the traditional centralized controlling policies by creating a win-win situation in which all members of the chain benefit from higher profit, thus resulting in more willingness from all members to join the chain.

• Journal of Digital Convergence
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• v.4 no.2
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• pp.97-108
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• 2006

The purpose of this study is to generate a proper regulation improvement direction of the public If project contract law through the current four contract methods and three methods of the awarding party of a contract method. The research method for this paper is derived from the written materials of the present public IT project contract law. Two problems have been processed in order to produce the results: the current contract methods and the awarding party of a contract method. The current contract methods consist of a competition contract, a private contract, and a supply methodology contract, The methods of the awarding party of a contract display a qualified evaluation regulation, the 2nd step competition bid, a standard cost separation tender, and a contract by a negotiation. The results exhibit that the general competition contract consists of four improvement items. The contract by a negotiation contains five improvement items. The group private contract has one improvement item. And the private contract includes one improvement item. These results implicate that the current public IT project contract law demands better improvement work for the ubiquitous Korea.

• 한국디지털정책학회:학술대회논문집
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• 2006.06a
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• pp.319-353
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• 2006

The purpose of this study is to generate a proper regulation improvement direction of the public IT project contract law through the current four contract methods and three methods of the awarding party of a contract method. The research method for this paper is derived from the written materials of the present public IT project contract law. Two problems have been processed in order to produce the results: the current contract methods and the awarding party of a contract method. The current contract methods consist of a competition contract, a private contract, and a supply methodology contract. The methods of the awarding party of a contract display a qualified evaluation regulation, the 2nd step competition bid, a standard cost separation tender, and a contract by a negotiation. The results exhibit that the general competition contract consists of four improvement items. The contract by a negotiation contains five improvement items. The group private contract has one improvement item. And the private contract includes one improvement item. These results implicate that the current public IT project contract law demands better improvement work for the ubiquitous Korea.

• Journal of the Korea Society for Simulation
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• v.22 no.2
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• pp.41-51
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• 2013

Tendency for small changes in end-consumer demand to be amplified as one moves further up the supply chain is known as bullwhip effect (BE). BE is usually defined as variance(order)/variance(demand). Since such distorted information throughout the supply chain can lead to inefficiencies, many studies to reduce variance(order) have been performed. However, in this study, we show that minimization of BE may increase inefficiencies of the supply chain. We introduce a new objective function to increase system efficiency using smoothed ordering policies. Simulation optimization is utilized to find optimal smoothed ordering policies.

• Proceedings of the Society of Korea Industrial and System Engineering Conference
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• 2002.05a
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• pp.343-348
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• 2002

We are concerned with a long-term replenishment contract for the ARIMA demand process in a supply chain. The chain is composed of one supplier, one buyer and consumers for a product. The replenishment contract is based upon the well-known (s, Q) policy but allows us to contract future replenishments at a time with a price discount. Due to the larger forecast error of future demand, the buyer should keep a higher level of safety stock to provide the same level of service as the usual (s, Q) policy. However, the buyer can reduce his purchase cost by ordering a larger quantity at a discounted price. Hence, there exists a trade-off between the price discount and the inventory holding cost. For the ARIMA demand process, we present a model for the contract and an algorithm to find the number of the future replenishments. Numerical experiments show that the proposed algorithm is efficient and accurate.

• Journal of the Korean Operations Research and Management Science Society
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• v.25 no.4
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• pp.27-44
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• 2000

In this study we consider a spares provisioning problem for repairable items in which a parts inventory system is incorporated. If a machine fails, a replacement part must be obtained at the parts inventory system before the failed machine enters the repair center. The inventory policy adopted at the parts inventory system is the (S, Q) policy. Operating times of the machine before failure, ordering lead times and repair times are assumed to follow a two-stage Coxian distribution. For this system, we develop an approximation method to obtain the performance measures such as steady state probabilities of the number of machines at each station and the probability that a part will wait at the parts inventory system. For the analysis of the proposed system, we model the system as a closed queueing network and analyze it using a product-form approximation method. A recursive technique as well as an iterative procedure is used to analyze the sub-network. Numerical tests show that the approximation method provides fairly good estimation of the performance measures of interest.

• Journal of the Korean Operations Research and Management Science Society
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• v.12 no.1
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• pp.27-33
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• 1987

A stochastic model for an inventory system in which depletion of stock takes place due to random demand as well as random loss of items is studied under the assumption that the intervals between cussessive unit demands as well as those between cussessive unit losses, are independently and identically distributed random variables having negative exponential distributions with respective parameters .mu. and .lambda. It is further assumed that leadtime for each order is an outstanding-order-dependent random variable. The steady state probability distribution of the net inventory level is derived under the continuous review (S -1, S) inventory policy, from which the total expected coast expression is formulated.

• Industrial Engineering and Management Systems
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• v.14 no.1
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• pp.1-10
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• 2015

In this paper, we consider multi-item inventory management. When managing a multi-item inventory, we coordinate replenishment orders of items supplied by the same supplier. The associated problem is called the joint replenishment problem (JRP). One often-used approach to the JRP is to apply a can-order policy. Under a can-order policy, some items are re-ordered when their inventory level drops to or below their re-order level, and any other item with an inventory level at or below its can-order level can be included in this order. In the present paper, we propose a method for finding the optimal parameter of a can-order policy, the can-order level, for each item in a lost-sales model. The main objectives in our model are minimizing the number of ordering, inventory, and shortage (i.e., lost-sales) respectively, compared with the conventional JRP, in which the objective is to minimize total cost. In order to solve this multi-objective optimization problem, we apply a genetic algorithm. In a numerical experiment using actual shipment data, we simulate the proposed model and compare the results with those of other methods.