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REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
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Journal of Korean Institute of Industrial Engineers
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Korean Institute of Industrial Engineers
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Volume & Issues
Volume 24, Issue 4 - Dec 1998
Volume 24, Issue 3 - Sep 1998
Volume 24, Issue 2 - Jun 1998
Volume 24, Issue 1 - Mar 1998
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Construction of IAST Model for Agile Process Design with Holistic Concept
Leem, Young-Moon ;
Journal of Korean Institute of Industrial Engineers, volume 24, issue 1, 1998, Pages 1~9
In a competitive environment, systems design should be agile to accomplish business goal. However, there are often significant problems with systems design that is manifested in the fact that there are no current techniques to apply rigorous mathematics to semantic conveyance in the design framework. As a promising solution, this paper introduces situation theory (ST) and provides an application of ST for information flow in manufacturing systems design (IDEF0). The described work in this paper addresses the procedure of creation of IAST Model (Inf-Act On in Situation Theory) which is the first application of ST in engineering fields. Finally, we show that IAST Model is very helpful for effective information capturing in systems by comparison existing methodology with developed methodology as a practical application of ST.
Modeling of Evaluation Function for the Mediation of Negotiation Between Holons
Kim, Jeong ;
Journal of Korean Institute of Industrial Engineers, volume 24, issue 1, 1998, Pages 11~21
Holonic manufacturing systems have been recently presented to meet the various needs of customer rapidly. Holonic manufacturing systems consist of several holons which may perform decision making for the achievement of their objectives. Holonic manufacturing systems are characterized by cooperation and negotiation among holons. The problem of conflict can be occurred during communication between holons. Then the negotiation is required for the holons. This paper deals with a mathematical model for the mediation of negotiation between holons in the holonic manufacturing systems. In this paper an evaluation function for mediation is modeled using the utility function.
Network Analysis and Neural Network Approach for the Cellular Manufacturing System Design
Lee, Hong-Chul ;
Journal of Korean Institute of Industrial Engineers, volume 24, issue 1, 1998, Pages 23~35
This article presents a network flow analysis to form flexible machine cells with minimum intercellular part moves and a neural network model to form part families. The operational sequences and production quantity of the part, and the number of cells and the cell size are taken into considerations for a 0-1 quadratic programming formulation and a network flow based solution procedure is developed. After designing the machine cells, a neural network approach for the integration of part families and the automatic assignment of new parts to the existing cells is proposed. A multi-layer backpropagation network with one hidden layer is used. Experimental results with varying number of neurons in hidden layer to evaluate the role of hidden neurons in the network learning performance are also presented. The comprehensive methodology developed in this article is appropriate for solving large-scale industrial applications without building the knowledge-based expert rule for the cellular manufacturing environment.
Scheduling Jobs with different Due-Date on Nonidentical Parallel Machines
Kang, Yong-Hyuk ; Lee, Hong-Chul ; Kim, Sung-Shick ;
Journal of Korean Institute of Industrial Engineers, volume 24, issue 1, 1998, Pages 37~50
This paper considers the nonidentical parallel machine scheduling problem in which n jobs having different due dates are to be scheduled on m nonidentical parallel machines. For the make-to-order manufacturing environment, the objective is to minimize the number of tardy jobs. A 0-1 nonlinear programming model is formulated and a heuristic algorithm that allocates and sequences jobs to machines is developed. The proposed algorithm makes use of the concept of assignment problem based on the suitability measure as the cost coefficient. Computational experiments show that the proposed algorithm is superior to the existing one in some performance measures such as number of tardy jobs. In addition, this algorithm is appropriate for solving real industrial problems efficiently.
Evaluation of Economic Alternatives with Dynamic Measures
Park, Choon-Yup ;
Journal of Korean Institute of Industrial Engineers, volume 24, issue 1, 1998, Pages 51~59
This paper presents a new present value measure, the dynamic present value, or DPV. DPV takes into account not only the value of the realized cash flow but also that of potential cash flow. The DPV approach enables the analyst to observe differences in the present value of the alternatives every period over the whole time period of interest. This is the most fundamental advantage of the DPV approach over the traditional present value approach in which the present value of the alternatives is evaluated only one particular point of time. The concepts of the realized and potential cash flows are also developed in this paper. These new concepts are found to be useful elements in evaluating economic alternatives.
Tool Management in Flexible Manufacturing Systems
Koo, Pyung-Hoi ; Lee, Seung-Woo ; Lee, Jae-Jong ;
Journal of Korean Institute of Industrial Engineers, volume 24, issue 1, 1998, Pages 61~76
Tooling is now considered as a major limiting resource for highly automated manufacturing systems to be operated unattendedly. In this paper, various issues in tooling are introduced and discussed. The importance of appropriate selection of tooling strategies is discussed and simulation experiments are performed to see how the tooling strategies affect the system performance in automated manufacturing systems. This paper also presents a tool management system developed in Korea Institute of Machinery and Materials.
Positioning idle vehicles of AGVS on unidirectional guide paths
Kim, Jae-Yeon ; Kim, Kap-Hwan ;
Journal of Korean Institute of Industrial Engineers, volume 24, issue 1, 1998, Pages 77~93
It is discussed how to locate idle vehicles of AGVS on unidirectional guide paths. The problem is modeled as a median location problem on a cyclic network. The characteristics of the optimal location are analyzed and some useful properties are suggested to reduce the solution space. Based on the properties found, several special types of networks - a pure single-loop type, the loop type with a single branching intersection and the loop type with local branching node - are also analyzed as well as the general cyclic network. In each case of the networks, a solution procedure is suggested. Some numerical examples are provided to illustrate the algorithms developed.
Prioity Setting of Construction Technology in Korea Based on Technology Relevance Analysis
Hong, Soon-Ki ; Bark, Pyeng-Mu ;
Journal of Korean Institute of Industrial Engineers, volume 24, issue 1, 1998, Pages 95~103
This paper deals with technology relevance analysis, which measures technological dependency between needs technology and its component technology as well as between needs technologies. The two-round survey was carried out: In the first round, a wide range of needs technologies in construction and building industry were identified and classified to meet a variety of social needs which were anticipated in the near future of Korea. In the second, relevance between needs technology and its component technologies was checked by some 120 experts. Based on the survey results, the individual relevances among needs technologies were computed. Finally the ranking of needs technologies in construction industry was set according to the degree of technology relevance. This relevance is to be used as one of criteria for the selection of national R&D projects which the Ministry of Construction and Transportation plans to promote in the next five years.
Production switching mechanism for an unreliable two-stage production line
Koh, Shie-Gheun ; Hwang, Hark ;
Journal of Korean Institute of Industrial Engineers, volume 24, issue 1, 1998, Pages 105~113
This paper deals with a production line which consists of two production stages that are separated by a finite storage buffer. The inventory level in the storage buffer controls the production rate of the preceding stage. That is, the production rate becomes high (low) when the buffer inventory is low (high). We analyze the system characteristics utilizing the Markov process theory and then find an optimal control policy which maximizes a given system profit function. Also, a sensitivity analysis is made to examine the effects of various system parameters on the system performances.
A Continuous Sequential Decision Process Model for R&D Economic Feasibility Assessment of the GDHS in Chejoo Island and Its Application
Yang, Moon-Hee ; Chang, Kyung ;
Journal of Korean Institute of Industrial Engineers, volume 24, issue 1, 1998, Pages 115~126
A GDHS(Geothermal District Heating System) is a heating system supplying a group of districts with heat extracted from geothermal sources. Due to various advantages of GDHS including the saving of fuel consumption as well as the reduction of air pollution, a world-wide trend is to replace central/individual heating systems with GDH systems. The basic point of this paper is that a crash program mentality leads to inappropriate decisions about policy issues in large-scale research and development like the development of GDHS, R&D funding should be viewed as a sequential decision, not a once-and-for-all choice. Hence we develop on economic feasibility assessment model based on a continuous sequential decision process for the Chejoo Island GDHS Project by modifying Roberts's model.
A Stochastic Partial Backorder Inventory Model with a Backorder Ratio Depending on Backorder periods
Kim, Jung-Ja ;
Journal of Korean Institute of Industrial Engineers, volume 24, issue 1, 1998, Pages 127~136
This paper presents a stochastic partial backorder inventory model for the situation in which demand follows normal distribution and back order ratio during that stockout period decreases exponentially according to the length of backorder period. In the paper, an objective function is formulated to minimize the average annual cost, which is the sum of the ordering, carrying, time-proportional backordering, and lost sales cost. And then sensitivity analysis for various exponential backorder ratios and standard deviations of leadtime demand are presented. The inventory model in the paper is reduced to a backorder model and lost sales model, when backorder ratio is 1 and 0, respectively.
Optimization of a Block Stacking Storage Model for a Single Product using (s, S) Inventory Policy
Yang, Moon-Hee ; Chang, Kyung ;
Journal of Korean Institute of Industrial Engineers, volume 24, issue 1, 1998, Pages 137~144
Block stacking, which involves the storage of unit loads in stacks within storage rows, is typically used in traditional warehouses to achieve a high space utilization at a low investment cost. In this paper, assuming that the demand size from a customer is an i.i.d. random variable, we develop a probabilistic block stacking storage model and its algorithm for a singles product, which minimizes the time-overage floor space requirement under an (s, S) inventory policy and the violation of the FIFO lot rotation rule only in a single partially-occupied row.
A New Type of Clustering Problem with Two Objectives
Lee, Jae-Yeong ;
Journal of Korean Institute of Industrial Engineers, volume 24, issue 1, 1998, Pages 145~156
In a classical clustering problem, grouping is done on the basis of similarities or distances (dissimilarities) among the elements. Therefore, the objective is to minimize the variance within each group while maximizing the between-group variance among all groups. In this paper, however, a new class of clustering problem is introduced. We call this a laydown grouping problem (LGP). In LGP, the objective is to minimize both the within-group and between-group variances. Furthermore, the problem is expanded to a multi-dimensional case where the two-way minimization process must be considered for each dimension simultaneously for all measurement characteristics. At first, the problem is assessed by analyzing its variance structures and their complexities by conjecturing that LGP is NP-complete. Then, the simulated annealing (SA) algorithm is applied and the results are compared against that from others.
A Dynamic Production and Transportation Model with Multiple Freight Container Types
Lee, Woon-Seek ;
Journal of Korean Institute of Industrial Engineers, volume 24, issue 1, 1998, Pages 157~165
This paper considers the single-product production and transportation problem with discrete time, dynamic demand and finite time horizon, an extension of classical dynamic lot-sizing model. In the model, multiple freight container types are allowed as the transportation mode and each order (product) placed in a period is shipped immediately by containers in the period. Moreover, each container has type-dependent carrying capacity restriction and at most one container type is allowed in each shipping period. The unit freight cost for each container type depends on the size of its carrying capacity. The total freight cost is proportional to the number of each container type employed. Such a freight cost is considered as another set-up cost. Also, it is assumed in the model that production and inventory cost functions are dynamically concave and backlogging is not allowed. The objective of this study is to determine the optimal production policy and the optimal transportation policy simultaneously that minimizes the total system cost (including production cost, inventory holding cost, and freight cost) to satisfy dynamic demands over a finite time horizon. In the analysis, the optimal solution properties are characterized, based on which a dynamic programming algorithm is derived. The solution algorithm is then illustrated with a numerical example.