• Title/Summary/Keyword: Shipping Process

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Study of Improved Transporting Methods on Unit Module (유닛모듈 운송 방법의 개선방향 연구)

  • Park, Su-Yeul;Kim, Kyoon-Tai;Park, Nam-Cheon;Jung, In-Su
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2012.11a
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    • pp.243-244
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    • 2012
  • Recently, research has been actively conducted for getting interested in unit module housing. However, the domestic unit modular housing research in the early stages yet, so the major process for research is lacking. Explore all these reasons fit with domestic unit housing development this paper, focusing on the process of shipping cargo by truck, transport unit module was studied. The purpose of this paper is to present new ideas and derive the direction of the development of the equipment safely and effectively fixed to the unit module of the transport unit module that will be helpful in the development of the equipment required for the transport process of the next unit module.

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The Effect of Heat Treatment Hold Time for Mechanical Properties of Zinc-Magnesium Alloy (아연-마그네슘 합금의 열처리에 따른 기계적 특성 연구)

  • Hwang, Injoo
    • Journal of the Korean Society for Heat Treatment
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    • v.33 no.3
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    • pp.117-123
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    • 2020
  • Due to high corrosion resistance, Zinc has been widely used in the automobile, shipping or construction industries as a galvanizing material. Zinc is popular as a coating element, but its low mechanical strength impede the expansion of applications as a load-bearing structure. The mechanical strength of Zinc can be increased through zinc based alloy process, but the ductility is significantly reduced. In this study, the mechanical strength and ductility of Zinc-Magnesium alloys with respect to heat treatment hold time was investigated. In order to enhance the mechanical strength of Zinc, a Zinc-Magnesium alloy was fabricated by a melting process. The heat treatment process was performed to improve the ductility of Zinc-Magnesium alloy. The microstructure of the heat-treated alloy specimen was analyzed using SEM. The hardness and compressive strength of the specimen were measured by a micro-hardness tester and a nano-indenter, respectively.

Effect of Electrolytic In-process Dressing in Slot Grinding (Slot Grinding시 전해 인프로세스 드레싱의 영향에 관한 연구)

  • 유정봉;정해도;최헌종
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1995.10a
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    • pp.48-52
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    • 1995
  • Chipping is an unavidable phenomean in the slot grinding process of hard and brittle materials. However,it should be reduced for the improvement of surface integrity in the manufacture of optical and semiconductor components. Electrolytic In-process Dressing (ELID) technique for metal bonded superabrasive grinding wheel has been developed for mirror surface grinding of hard and brittle materials. Electrically dressed wheel surface has sharply exposed abrasives and results in lower grinding force, higher grinding efficiency in grinding. The paper deals with a newly developed method for slot grinding using ELID and was implemented to improve grooved surface quality and decreases chipping size on the edge of the groove. As a result, we accomplished shipping-free grooves and obtained the clear ground sufaces on glass and tungsten carbide.

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Optimal Design of Process-Inventory Network Considering Backordering Costs (역주문을 고려한 공정-저장조 망구조의 최적설계)

  • Yi, Gyeongbeom
    • Journal of Institute of Control, Robotics and Systems
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    • v.20 no.7
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    • pp.750-755
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    • 2014
  • Product shortage which causes backordering and/or lost sales cost is very popular in chemical industries, especially in commodity polymer business. This study deals with backordering cost in the supply chain optimization model under the framework of process-inventory network. Classical economic order quantity model with backordering cost suggested optimal time delay and lot size of the final product delivery. Backordering can be compensated by advancing production/transportation of it or purchasing substitute product from third party as well as product delivery delay in supply chain network. Optimal solutions considering all means to recover shortage are more complicated than the classical one. We found three different solutions depending on parametric range and variable bounds. Optimal capacity of production/transportation processes associated with the product in backordering can be different from that when the product is not in backordering. The product shipping cycle time computed in this study was smaller than that optimized by the classical EOQ model.

Preform shape optimization of a shipping connecting-rod using Taguchi method (다구찌기법을 이용한 선박용 커넥팅로드 예비성형체의 최적 설계)

  • Park, Joon-Hong;Kang, Jung-Ho;Ha, Min-Soo;Kim, Seung-Gyu;Choi, Seoung-Gyu;Baek, Dong-Gyu;Park, Young-Chul
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.6 no.4
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    • pp.44-49
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    • 2007
  • In this paper, propose an optimal design to improve the mechanical efficiency of gate valve made by forging method. In order to design the experiments using table of orthogonal array and optimization design is conducted as application of real response model to Taguchi method based approximation model using computer simulation. Also, from verification of the response model with optimized results was confirmed that usefulness and reliance of application Taguchi method to structural optimum design using finite element analysis and equation.

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The Impact of Assorting Performance by the Number of Aisles in Put to Light System (Put to Light 시스템의 통로 수가 분류 생산성에 미치는 영향)

  • Yu, Gang-Cheol;Yang, Gwang-Mo;Gang, Gyeong-Sik
    • Proceedings of the Safety Management and Science Conference
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    • 2011.04a
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    • pp.229-242
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    • 2011
  • The assorting process in distribution center is one of the most difficult and time-consuming process. The improvement of assorting productivity is a core element which decides efficiency of a distribution center. The time to shipping from receiving depends on assorting such as sorting by customer. To enhance efficiency of assorting typically uses the put to light system composed of computer and digital indicator etc. Generally the layout of put to light system has been performed rather than scientific analysis by a common experience. Therefore, this study analyzes the impact of assorting performance by the number of aisle in assorting process of put to light system.

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Factor Analysis Affecting on Chartering Decision-making in the Dry Bulk Shipping Market (부정기 건화물선 시장에서 용선 의사결정에 영향을 미치는 요인 분석)

  • Lee, Choong-Ho;Park, Keun-Sik
    • Journal of Korea Port Economic Association
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    • v.40 no.1
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    • pp.151-163
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    • 2024
  • This study sought to confirm the impact of analytical methods and behavioral economic theory factors on decision-making when making chartering decisions in the dry bulk shipping market. This study on chartering decision-making model was began to verify why shipping companies do not make rational decision-making and behavior based on analytical methods such as freight prediction and process of alternative selection in the same market situation. To understand the chartering decision-making model, it is necessary to study the impact of behavioral economic theory such as heuristics, loss aversion, and herding behavior on chartering decision-making. Through AHP analysis, the importance of the method factors relied upon in chartering decision-making. The dependence of the top factors in chartering decision-making was in the following order: market factors, heuristics, internal factors, herding behavior, and loss aversion. Market factors, heuristics, and internal factors. As for detailed factors, spot freight index and empirical intuition were confirmed as the most important factors relied on when making decisions. It was confirmed that empirical intuition is more important than internal analysis, which is an analytical method. This study can be said to be meaningful in that it academically researched and proved the bounded rationality of humans, which cannot be fully rational, and sometimes relies on experience or psychological tendencies, by applying it to the chartering decision-making model in the dry bulk shipping market. It also suggests that in the dry bulk shipping market, which is uncertain and has a high risk of loss due to decision-making, the experience and insight of decision makers have a very important impact on the performance and business profits of the operation part of shipping companies. Even though chartering are a decision-making field that requires judgment and intuition based on heuristics, decision-makers need to be aware of this decision-making model in order to reduce repeated mistakes of deciding contrary to market situation. It also suggests that there is a need to internally research analytical methods and procedures that can complement heuristics such as empirical intuition.

Similarity Measurement Using Ontology in Vessel Clearance Process (온톨로지를 이용한 선박 통관 프로세스의 유사성 측정)

  • Yahya, Bernardo N.;Park, Jae-Hun;Bae, Hye-Rim;Mo, Jung-Kwan
    • Journal of Korean Institute of Industrial Engineers
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    • v.37 no.2
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    • pp.153-162
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    • 2011
  • The demands of complicated data communications have issued a new challenge to port logistics systems. Customers expect ports to handle their generated administrative data while a vessel is docked in a port. One port logistics system, known as the Vessel Clearance Process (VCP), manages large numbers of documents related to port of entry. In the VCP, information flows through many organizations such as the port authority, shipping agents, marine offices, immigration offices, and others. Therefore, for effective management of the Business Process (BP) of the VCP, a standardized method of BP modeling is essential, especially in heterogeneous system environments. In a port, according to port policy, terms and data are sued that are similar to but different from those of other logistics partners, which hinders standardized modeling of the BP. In order to avoid tedious and time-consuming document customization work, more convenient modeling of BP for VCP is essential. This paper proposes an ontology-based process similarity measurement to assist designer for process modeling in port domain, especially VCP. We expect that this methodology will use convenient and quick modeling of port business processes.

A Relative Importance Evaluation of Shipbroking Service by the AHP (AHP 분석을 이용한 해운중개 서비스의 상대적 중요도 평가)

  • Kim, Hwa Young;Kim, Un Soo
    • Journal of Korea Port Economic Association
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    • v.29 no.4
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    • pp.157-174
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    • 2013
  • A shipbroking is maritime service business, which is consist of market of freight, shipbuilding, sales & purchase and demolition for intermediation between customer and supplier. In this way, a shipbroking business has strong relationship with shipping industry and is also knowledge service business for creation additional value based on shipping, shipbuilding, financial and law etc. However, the research on the evaluation items and a method for shipbroking company were not carried out in previous research. In this paper, We defined evaluation items with three high level, six middle level and sixteen low level for evaluation of shipbroking service by expert's brainstorming and AHP(analytic hierarchy process) method. And also carried out survey to employees of shipbroking company as supplier and shipping company as customer. As a result of survey, result of service in high level, convenient of middle level and credibility of low level are evaluated highly, and also business credit rating, profit of customer, achievement of customer's object are considered to more important than others items. In case of comparison between group, a method of contact with client, problem-solving ability, good relationship with clients of international and domestic evaluated importantly in common.

An Analysis on Determinants of the Capesize Freight Rate and Forecasting Models (케이프선 시장 운임의 결정요인 및 운임예측 모형 분석)

  • Lim, Sang-Seop;Yun, Hee-Sung
    • Journal of Navigation and Port Research
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    • v.42 no.6
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    • pp.539-545
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    • 2018
  • In recent years, research on shipping market forecasting with the employment of non-linear AI models has attracted significant interest. In previous studies, input variables were selected with reference to past papers or by relying on the intuitions of the researchers. This paper attempts to address this issue by applying the stepwise regression model and the random forest model to the Cape-size bulk carrier market. The Cape market was selected due to the simplicity of its supply and demand structure. The preliminary selection of the determinants resulted in 16 variables. In the next stage, 8 features from the stepwise regression model and 10 features from the random forest model were screened as important determinants. The chosen variables were used to test both models. Based on the analysis of the models, it was observed that the random forest model outperforms the stepwise regression model. This research is significant because it provides a scientific basis which can be used to find the determinants in shipping market forecasting, and utilize a machine-learning model in the process. The results of this research can be used to enhance the decisions of chartering desks by offering a guideline for market analysis.