• The Journal of Asian Finance, Economics and Business
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• v.10 no.1
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• pp.9-17
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• 2023

The study attempted to answer the questions related to the expected effects of supply chain management variables which include: Partnership with Suppliers (PS), Relationships with Customers (RC), Quality of Information Exchange (QIE), and Postponement (P), as independent variables, total quality management (TQM) as a dependents variable, and just in time (JIT) as a mediator variable. The study relies on the descriptive approach by conducting an empirical study on commercial companies in Riyadh Governorate in the Kingdom of Saudi Arabia. Through the methods of descriptive and analytical statistics represented in exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and structural equation modeling (SEM)), using the AMOS and SPSS programs, the results of the applied study indicated that: There is an effect of supply chain management variables (quality of information exchange, Postponement) on just in time (JIT), there is no effect of the supply chain variables (relationship with customers, partnership with suppliers) on just in time (JIT), there is an indirect effect of the quality of information exchange, Postponement, partnership with suppliers, the relationship with customers on total quality management (TQM), relationship with customers affect on total quality management (TQM) indirectly, just in time (JIT) does not affect total quality management (TQM)

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2009.05a
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• pp.160-163
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• 2009

본 논문은 효과적인 물류 Process를 위해 일본의 도요타에서 만들어진 JIT(Just-In-Time) Process를 이해하고, 이를 SAP R/3 System을 이용해서 구현함으로써 물류 Lead Time 감소와 재고비용 감소에 얼마나 효과적인지를 분석한 다음 향후 실증연구를 위한 연구 모형과 검증 가설을 제안하였다.

• Journal of the Korea Society of Computer and Information
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• v.6 no.4
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• pp.100-103
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• 2001

The best solution to improve the execution speed of Java program is to make use of the high speed JVM(Java Virtual Machine). The performance of JVM depends on the difference of its implementation. One of the technologies to enhance JVM performance is a JIT(Just-in-Time) code generator. The JIT code generator transforms Java byte code to the native machine code in accordance with computer system platform. The native machine code is faster than the existing interpreter method, since it can reduce the time to analyze the Java byte code. But the JIT code generator have the problem of increasing the traffic between stack and register because of using many register. Therefore, this paper suggests how to reduce the traffic by applying the policy of stack allocation to JIT code generation, as one of the methods to enhance the performance of JVM.

• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.93.4-93
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• 2001

Based on input and output data pairs of nonlinear systems, this paper proposes a simple and effective Just-In-Time (JIT) method, called Direct JIT Control, for nonlinear control design. It uses an inverse model of controlled plant to compute an initial control action, and then adapts the initial control action by adding a fine-tuning control action, depended on the errors between the real outputs and the expected reference signals. Meanwhile, the proposed JIT method accomplishes the adaptation of the inverse model just simply by means of the refreshment of input and output data pairs. In addition, the JIT modeling technique guarantees this method to obtain an approximate inverse model of the controlled nonlinear plant in the neighborhood of a query. Based on a ...

• Journal of Korean Society of Industrial and Systems Engineering
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• v.32 no.3
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• pp.40-48
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• 2009

In this article, scheduling of a casting sequence is studied in a casting foundry which must deliver products according to the Just-in-time(JIT) production policy of a customer. When a foundry manufactures a variety of casts with an identical alloy simultaneously, it frequently faces the task of production scheduling. An optimal casting schedule should be emphasized in order to maximize the production rate and raw material efficiency under the constraints of limited resources; melting furnaces and operation time for a casting machine. To solve this practical problem-fulfilling the objectives of casting the assigned mixed orders for the highest raw material efficiency in a way specified by the customer's JIT schedule, we implement simple integer programming. A simulation to solve a real production problem in a typical casting plant proves that the proposed method provides a feasible solution with a high accuracy for a complex, multi-variable and multi-constraint optimization problem. Employing this simple methodology, a casting foundry having an automated casting machine can produce a mixed order of casts with a maximum furnace utilization within the due date, and provide them according to their customer's JIT inventory policy.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.371-374
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• 2002

Purpose of this study is to suggest the directions for development of a transportation and procurement system for JIT management of curtain walls. First, this study looks over the concept of JIT, and grasps the characteristics of the material and the problems of logistics in the construction field through the field and literature survey. And then, it develops countermeasures for the problems and with this, it suggests the directions for development of a transportation and procurement system for JIT management.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.25 no.4
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• pp.69-78
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• 2002

The basic purpose of the JIT(Just In Time) production system is to increase profits by reducing costs-that is, by completely eliminating waste such as excessive stocks or workforce. To achieve cost reduction, Production must promptly and flexibly adapt to changes in market demand without having wasteful slacks. :iuch an ideal is accomplished by the concept of JIT, producing the necessary items in the necessary quantities at the necessary time. The JIT production system is supported by the following: reduction of setup time, smoothing of production, standardization of jobs, improvement activities, design of machine layout, Kanban system, autonomation etc. This study examined the present state of the domestic JIT production system and introduced the empirical case of JIT application a small and medium manufacturing company. A synthetic resins manufacturing company applied JIT principles to its processes and achieved the great performance.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.20 no.42
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• pp.131-141
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• 1997

The purpose of this study is to certify the actual state of JIT(Just-in-Time) production system's implementation of Korean manufacturing industries and to exhibit the appropriate JIT system considering the company's characteristics, for attain the superior competitiveness. To understand the current situations of JIT system's implementation a questionnaire study is performed. Total 152 valid questionnaires are collected by personal visit and mailing method. All the data is statistically analyzed by SPSS PC+ and SAS program and reviewed to develop a strategy for JIT implementation of Korean manufacturing companies.

• Geophysics and Geophysical Exploration
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• v.24 no.2
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• pp.35-44
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• 2021

As the execution speed of Python is slower than those of other programming languages (e.g., C, C++, and FORTRAN), Python is not considered to be efficient for writing numerical geodynamic code that requires numerous iterations. Recently, many computational techniques, such as the Just-In-Time (JIT) compiler, have been developed to enhance the calculation speed of Python. Here, we developed two-dimensional (2D) numerical geodynamic code that was optimized for the JIT compiler, based on Python. Our code simulates mantle convection by combining the Particle-In-Cell (PIC) scheme and the finite element method (FEM), which are both commonly used in geodynamic modeling. We benchmarked well-known mantle convection problems to evaluate the reliability of our code, which confirmed that the root mean square velocity and Nusselt number obtained from our numerical modeling were consistent with those of the mantle convection problems. The matrix assembly and PIC processes in our code, when run with the JIT compiler, successfully achieved a speed-up 30× and 258× faster than without the JIT compiler, respectively. Our Python-based FEM-PIC code shows the high potential of Python for geodynamic modeling cases that require complex computations.

• Journal of the Korea Safety Management & Science
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• v.6 no.3
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• pp.141-152
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• 2004

Supply chains for agricultural commodities with their various constraints such as production lead time, seasonal production, and methods of storage are limited in the extent to which techniques like Just-in-Time (JIT) inventory management can be applied. It is beyond the ability of producers to control harvest time and many agricultural products are perishable so that they can incur exceptional losses in storage if they are not handled correctly. This is a source of additional costs and inefficiency in supply chain management. The purpose of this study is to reduce or eliminate such sources of loss and inefficiency and to identify success factors for the JIT inventory management system where it can be applied for agricultural products. Where JIT techniques can be applied in supply chain management for agricultural products, costs such as transportation, inventory, and storage losses can be reduced with concurrent increases in efficiency. In the paper, some of the problems associated with applying JIT inventory control methods in supply chain management for agricultural commodities will be reported through a series of case studies.