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.
Journal of Korean Society of Industrial and Systems Engineering
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v.32
no.2
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pp.57-65
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2009
In continuous review inventory model, (${\varrho}$, ${\gamma}$) system, order quantity(${\varrho}$) and reorder point(${\gamma}$) should be determined to calculate inventory-related cost that consists of setup, holding, and penalty costs. The procedure to obtain the exact value of ${\varrho}$ and ${\gamma}$ is complex. In this paper, a regression analysis is proposed to get the approximate inventory-related cost without the determination of ${\varrho}$ and ${\gamma}$ in the case that the standard deviation(${\sigma}$) of the lead time demand is small or that the mean(${\mu}$) of the lead time demand is proportional to ${\sigma}$. To save inventory-related cost, central warehouses with (${\varrho}$, ${\gamma}$) system can be built. Central warehouse can provide some stores with products with the consideration of the tradeoff between inventory-related cost and transportation cost. The number and the location of central warehouses to cover all the stores are determined by a regression-based approach. The performance of the proposed approach is tested by using some computational experiments.
Journal of Institute of Control, Robotics and Systems
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v.18
no.9
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pp.854-862
/
2012
The optimal design of batch-storage network by using periodic square wave model provides analytical lot sizing equations for a complex supply chain network characterized as multi-supplier, multi-product, multi-stage, non-serial, multi-customer, cyclic system including recycling and/or remanufacturing. The network structure includes multiple currency flows as well as material flows. The processes are represented by multiple feedstock/product materials with fixed composition which are very suitable for production processes. In this study, transportation processes that carry multiple materials with unknown composition are added and the time frame is changed from single period into multiple periods in order to represent nonperiodic parameter variations. The objective function of the optimization involves minimizing the opportunity costs of annualized capital investments and currency/material inventories minus the benefit to stockholders in the numeraire currency. The expressions for the Kuhn-Tucker conditions of the optimization problem are reduced to a multiperiod subproblem for average flow rates and analytical lot-sizing equations. The multiperiod lot sizing equations are different from single period ones. The effects of corporate income taxes, interest rates and exchange rates are incorporated.
Over the past decades the concept of Third-Party Logistics(TPL) has generated considerable interest in American and European industries. It involves outsourcing logistics activities that have traditionally been performed within an organization. The functions performed by the third-party logistics can encompass the entire logistics process or, more commonly, selected activities with that process. Increasing corporate emphasis on such concepts as reengineering and supply chain management has led many companies to consider the use of such third-party logistics. This study examines the possibility of applying existing American research of the third-party logistics to Korean companies and investigates the criteria for the use of third-party logistics in Korea. To design the model and generate the hypotheses, this study conducted a comprehensive literature survey on the third-party logistics. To test the hypotheses, this study collected data from 229 companies from the public companies in Korea through a questionnaire survey and conducted descriptive analysis, correlation analysis, factor analysis, and multiple regression analysis using the SPSS for Windows Ver. 7.5 package. This study is hoped that it may contribute to the understanding and introducing of the third-party logistics in the fields of the firms. But there were some restrictions that the respondents were not covered all kinds of firms. These and other major findings from this study imply that existing American studies may be applicable the Korean companies and that this study may complement the deficiencies of the existing studies. Thus, the summary of the literature review, the research model and hypotheses, and empirical findings in this study will provide useful ideas for future research and deep insights for successful logistics management.
Journal of Korean Society of Industrial and Systems Engineering
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v.31
no.4
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pp.134-139
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2008
Most approaches for continuous review inventory problem need tables for loss function and cumulative standard normal distribution. Furthermore, it is time-consuming to calculate order quantity (Q) and reorder point (r) iteratively until required values are converged. The purpose of this paper is to develop a direct method to get the solution without any tables. We used approximation approaches for loss function and cumulative standard normal distribution. The proposed method can get the solution directly without any iterative procedure for Q, r and without any tables. The performance of the proposed approach is tested by using numerical examples. The budget constraint of this paper assumes that purchasing costs are paid at the time an order is arrived. This constraint can be easily replaced by capacity constraint or budget constraint in which' purchasing costs are paid at the time an order is placed.
Purpose: During the pandemic, a large number of orders forced online retailers of fresh produce to quickly change their emergency logistics capabilities to meet the needs of ordinary consumers during the pandemic. Our research aims to help online retailers establish an emergency physical distribution framework for fresh produce during disasters to meet consumer needs. Research design and methodology: 160 effective responses were collected from the online response team in Wuhan, China, and exploratory factor analysis was used to determine the emergency logistics capability framework. Twelve experts were invited online to collect their scoring opinions and use the entropy method to determine the importance of emergency logistics capabilities. Results: Our results have identified a total of 17 emergency logistics factors for online retailers, and we found that Transportation route planning and reconstruction capabilities, Emergency plan planning ability, and Supply chain real-time information sharing capability are the most important in the overall framework. Conclusions: This research completely established the physical distribution framework of fresh agricultural products online retailer in emergency situations. It enriches academic resources in the field of emergency distribution and provides a scientific basis for corporate managers to improve their physical distribution capabilities in emergency situations.
Journal of the Korea Society of Computer and Information
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v.8
no.2
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pp.145-154
/
2003
Business environment is changing rapidly because of the introduction of the newest Technologies development and the newest management skills. With the development of Information Technology (IT) and the rapid growth of Internet based business, there have been great improvements of business processes and total costs of many firms. Many firms realize that they have to change their organizational structure and managerial skills in order to carry on their corporate goals(growth and development) according to business paradigm shift. The purpose of this dissertation is to watch how consumer product manufacturer(C corporation) could build effective SCM strategies under Electronic Commerce paradigm shift and how it can reform its organizational structure in order to perform its business goat. C corporation has been doing a groat role in logistics and distribution for the last 50 years with logistics know-how in domestic market, however there were many problems such as lack of shared information, demand Paradox, order batch, stock shortage and duplicated processes among vendors and chain members. Most of problems were based on lack of shared information and old business processes.
Kim, Hyun-Deuk;Kim, Dong-Min;Lee, Kyung-Geun;Yoon, Je-Whan;Youm, Sekyoung
Journal of Korean Society of Industrial and Systems Engineering
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v.42
no.3
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pp.25-38
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2019
This study is to develop a diagnostic model for the effective introduction of smart factories in the manufacturing industry, to diagnose SMEs that have difficulties in building their own smart factory compared to large enterprise, to identify the current level and to present directions for implementation. IT, AT, and OT experts diagnosed 18 SMEs using the "Smart Factory Capacity Diagnosis Tool" developed for smart factory level assessment of companies. They analyzed the results and assessed the level by smart factory diagnosis categories. Companies' smart factory diagnostic mean score is 322 out of 1000 points, between 1 level (check) and 2 level (monitoring). According to diagnosis category, Factory Field Basic, R&D, Production/Logistics/Quality Control, Supply Chain Management and Reference Information Standardization are high but Strategy, Facility Automation, Equipment Control, Data/Information System and Effect Analysis are low. There was little difference in smart factory level depending on whether IT system was built or not. Also, Companies with large sales amount were not necessarily advantageous to smart factories. This study will help SMEs who are interested in smart factory. In order to build smart factory, it is necessary to analyze the market trends, SW/ICT and establish a smart factory strategy suitable for the company considering the characteristics of industry and business environment.
The Journal of the Convergence on Culture Technology
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v.7
no.4
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pp.693-704
/
2021
This study empirically verified the effect of strategic orientation on information technology(IT) competency and corporate performance for organizational members engaged in small and medium-sized enterprises (SMEs). In the research model proposed in this study, strategic orientation affects corporate performance, and IT competency is used as a mediating variable in this process. For this study, a survey was conducted on organizational members working in small and medium-sized manufacturers located in Ulsan Metropolitan City. A total of 320 questionnaires were distributed, and 277 copies were used in this study. The collected data were statistically analyzed using SPSS 24.0. The research results are as follows: First, customer orientation, market orientation, and technology orientation of strategic orientation were found to have a positive (+) effect on both information technology knowledge and information technology operation of IT competency. And it was found that both customer orientation and technology orientation of strategic orientation only affects the information technology infrastructure of IT competency. Second, it was found that customer orientation and technology orientation of strategic orientation had a positive (+) effect on corporate performance, but market orientation had no effect on corporate performance. Third, it was found that information technology knowledge, information technology operation, and information technology infrastructure of IT competency had a positive (+) effect on corporate performance. Fourth, as a result of examining the mediating effect of information technology competency between strategic orientation and corporate performance, information technology knowledge, information technology operation, and information technology infrastructure of IT capability were found to have a partial mediating effect between customer orientation and technology orientation of strategic orientation and corporate performance. These research results suggest that in today's fourth industrial revolution era, customer-oriented and technology-oriented management strategies should be established to improve the competitive advantage and performance of small and medium-sized enterprises(SMEs) in the supply chain with large enterprises, and at the same time information technology capabilities such as information technology knowledge, information technology operation, and information technology infrastructure should be strengthened.
Journal of the Korea Academia-Industrial cooperation Society
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v.8
no.5
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pp.1227-1242
/
2007
This study aims at grasping the influence of antecedents within SCM to information sharing and cooperation as well as the influence of information sharing on cooperation among the small & medium-sized manufacturing industries, thus ultimately opening the way to the study on the influence of major activities such as information sharing and cooperation within SCM on the business performance by classifying such influence into low perspectives of BSC. The results of this study revealed that the antecedents such as commitment and cultural similarities exercised a significant influence on information sharing while mutual trust and the size of a corporate weighing with cooperative activities. It also identified the fact that information sharing bore a significant influence on cooperation in terms of relationships among activities. For the relationships between the SCM activities and performance, cooperation proved significant to all four balanced scorecard performances with little significant influence of information sharing on balanced scorecard performance. However, taking into consideration of the significance of information sharing on cooperation as well as the significant influence of cooperation on balanced scorecard performance, it fumed out that information sharing also effected a indirect influence on such four types of balanced scorecard performance. In this regard, based on the results of this study, it was identified that information sharing and cooperation, major activities within SCM, had either direct or indirect influence, through the influence of antecedents, on the business balanced scoreboard performance measured from a customer perspective, a business process perspective, an innovation and teaming perspective and a financial perspective.
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