• Journal of Distribution Science
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• v.3 no.1
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• pp.43-67
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• 2005

Recently retail market has been rapidly expanded in the large cities of in Korea and the competition among individual companies in retail market is also being increased. Tenant MD of mixing is one of the most important factor for the company to continuously operate or to fail. The aim of this study is to examine the processes of systematically evaluating the merchandising of the established companies in retail market a part of chain operation in discount store. The basic problem of decision making in general and tenant MD of mixing in particular is to choose a best one in a set of competing alternatives that are evaluated under conflicting criteria. The purpose of research of a paper carries out a duty searching examination with making a tenant MD include by retail research, simultaneously defined when I will show an example for the tenant mix of the profitability side of the domestic discount store market which is tenant MD importance proposing the existing problem arrangement by chain operation management, and is intensifying - tenant MD of standardization in discount store of T-company.

• International Journal of Internet, Broadcasting and Communication
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• v.16 no.3
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• pp.379-387
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• 2024

Agriculture has always been the foundation of Vietnam's economy, accounting for a significant portion of GDP. However, like many traditional industries, Vietnamese agriculture faces many challenges, from inefficient supply chains to unpredictable weather developments. In recent years, Vietnam's agricultural sector has been looking for ways to improve productivity and efficiency by applying modern technology. Among these technologies, artificial intelligence (AI) has emerged as a potential solution to address the challenges farmers and other stakeholders face in the agricultural supply chain. AI can analyze large amounts of data, optimize resource allocation, and predict market trends, which can significantly improve decision-making in agriculture. However, despite the promising prospects of AI in agriculture, there are still challenges to the widespread application of AI in Vietnam. These include the need for more awareness, technical expertise, and Infrastructure to support AI implementation. In this study, we analyze the current state of AI applications in Vietnam's agricultural supply chain, identify key challenges, and propose strategies to facilitate the integration of AI technology in agriculture supply chains in Vietnam in the digital age.

• IE interfaces
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• v.17 no.3
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• pp.359-374
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• 2004

The objective of this paper is to provide an improved reorder decision policy for general multi-echelon distribution systems utilizing the shared stock information. It has been known that traditional reorder policies sometimes show poor performance in distribution systems. Thus, in our previous research we introduced the order risk policy which utilizes the shared stock information more accurately for the 2- echelon distribution system and proved the optimality. However, since the real world supply chain is generally composed with more than 2 echelons, we extend the order risk policy for the general multi-echelon systems. Since the calculation of the exact order risk value for general multi-echelon systems is very complex, we provide two approximation methods for the real-time calculation. Through the computational experiment comparing the order risk policy with the existing policies under various conditions, we show the performance of the order risk policy and analyze the value of the shared stock information varying with the characteristics of the supply chain.

• Journal of the Korean Operations Research and Management Science Society
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• v.27 no.2
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• pp.63-79
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• 2002

During the last decade many enterprises spent a huge amount of money for investment on Information Technology (IT) & Information System (IS) to attain competitive advantage and to maximize their business performance by satisfying the various requirements of customers. Under such circumstances, methodologies for evaluating IT impact on business performance are very important issues for strategic decision making on investment. In this study, we propose a performance evaluation model that adopts the concept of the Balanced Scorecard (BSC) and the Value Chain to analyze the financial impact and non-financial impact of IT & IS at each critical work area. This model combines the 4 evaluation areas from BSC and 6 critical work areas from Value Chain and measures the Key Performance Indicator (HPI) and the effect of KPI. Also, we present a case study of which the evaluation model has been conducted on a major manufacturing company. finally. we address some important notes to improve the IT & IS performances in the real-world.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2004.05a
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• pp.636-647
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• 2004

The objective of this paper is to provide an improved reorder decision policy for general multi-echelon distribution systems utilizing the shared stock information. It has been known that traditional reorder policies sometimes show poor performance in distribution systems. Thus, in our previous research we introduced the order risk policy which utilizes the shared stock information more accurately for the 2-echelon distribution system and proved the optimality. However, since the real world supply chain is generally composed with more than 2 echelons, we extend the order risk policy for the general multi-echelon systems. Since the calculation of the exact order risk value for general multi-echelon systems is very complex, we provide two approximation methods for the real-time calculation. Through the computational experiment comparing the order risk policy with the existing policies under various conditions, we show the performance of the order risk policy and analyze the value of the shared stock information varying with the characteristics of the supply chain.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2003.11a
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• pp.159-165
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• 2003

The objective of this paper is to provide an improved reorder decision policy for general multi-echelon distribution systems utilizing the shared stock information. Since it has been known that traditional reorder policies sometimes show poor performance in distribution systems, in our previous research we introduced the order risk policy which utilizes the shared stock information more accurately f3r the 2-echelon distribution system and proved the optimality. However, since the real world supply chain is generally composed with more than 2 echelons, we extend the order risk policy for the general multi-echelon systems. Since the calculation of the exact order risk value fur general multi-echelon systems is very complex, we provide two approximation methods. Through the computational experiment comparing the order risk policy with the existing policies under various conditions, we show the performance of the order risk policy and analyze the value of the shared stock information varying with the characteristics of the supply chain.

• Journal of Information Technology Services
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• v.8 no.4
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• pp.115-128
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• 2009

In today's changing environment where the product life-cycle is becoming shorter, enterprises are forced to introduce new products as rapidly as possible and to score a success in a market. It is important to manage suppliers who supply parts of the new products to satisfy variable demands. We suggest performance measures of flexibility for suppliers in new products environments. We analyzed the measures from literatures, SCOR (Supply Chain Operations Reference) model and several scorecards. A simulation study was made with the measures in order to understand adaptability of a supply chain. It could help a manufacturer make a decision of purchasing and find a bottleneck supplier.

• The Journal of Information Systems
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• v.18 no.3
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• pp.89-110
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• 2009

In today's e-business environment, it is important to make decisions cooperatively between companies on a supply chain for their business success. This research analyzes empirically the influences of organizational factors on joint decision making and the ones of the joint decision making on business performance. We collected 188 corporate-level data through a Web survey and tested them statistically through PLS method based on a structured equation modeling. The results showed that (i) partner's knowledge creation capabilities, inter-organizational process modularity, and inter-organizational trust had direct effects on joint decision making, (ii) joint decision making and electronic business interfaces bad direct impacts on business performance. Contrary to our expectation, however, the moderating effects of electronic business interfaces between corporations on the relationship between joint decision making and business performance was not significant. On the basis of these results, we discussed theoretical and managerial implications of the findings. The results are expected to provide useful perspectives when companies establish strategies to improve capabilities of cooperative decision making and business performance.

• Proceedings of the Korea Society of Information Technology Applications Conference
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• 2005.11a
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• pp.311-314
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• 2005

Supply chain optimization is one of the most important components in the optimization of a company's value chain. This paper considers the problem of designing the supply chain for a product that is represented as an assembly bill of material (BOM). In this problem we are required to identify the locations at which different components of the product arc are produced/assembled. The objective is to minimize the overall cost, which comprises production, inventory holding and transportation costs. We assume that production locations are known and that the inventory policy is a base stock policy. We first formulate the problem as a 0-1 nonlinear integer programming model and show that it can be reformulated as a 0-1 linear integer programming model with an exponential number of decision variables.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.30 no.4
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• pp.155-163
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• 2007

Future war needs a lot of changes for military organization. Specially, concept of the "Speed" is raised importantly after Iraq war of U.S. Armed Forces. So, He is a lot of studying supply chain for logistical support speed improvement. Korea Marine Corps has made an efforts to improve supply chain. However it is real that is putting various techniques by prescription rather than fundamental change. These simplicity prescriptions are not only systematic but also insufficient for Marine Corps' survival. In addition, Korea marine corps in actuality is depending on many members in marine and navy in feed chain. Thus it is not establishing even tactical, decision-making plan of operation for support ability cultivation. Therefore, in this study, with Sense and Response concept that is United States Marine Corps' support strategy, presented theoretical background and basis frame that serve that Korea Marine Corps's supply chain changes to perception reaction formation.