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REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
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Industrial Engineering and Management Systems
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Korean Institute of Industrial Engineers
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Volume & Issues
Volume 4, Issue 2 - Dec 2005
Volume 4, Issue 1 - Jun 2005
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Analysis of Strategies for Installing Parallel Stations in Assembly Systems
Leung, John W.K. ; Lai, K.K. ;
Industrial Engineering and Management Systems, volume 4, issue 2, 2005, Pages 117~122
An assembly system (AS), a valuable tool for mass production, is generally composed of a number of workstations and a transport system. While the workstations perform some preplanned operations, the transport system moves the assemblies by special designed pallets from one station to another. One common problem associated with automatic assembly systems is that some assembly operations may have relatively long cycle times. As a consequence, the productivity, as determined by the operations with the longest cycle time, can be reduced significantly. Therefore, special forms of parallel workstations were developed to improve the performance of an assembly system. In this paper, three most commonly used parallel stations: on-line, off-line and tunnel-gated stations in a free transfer assembly system are studied via discrete event simulation. Our findings revealed that the off-line parallel system has the best performance because the two independent parallel stations can lower the buffer requirement; reduce the sensitivity to variability of processing time and balance of a line. On-line parallel systems were found to have a relatively poor performance, because the operations of two parallel stations block each other, and higher buffer capacity is required to achieve similar capacity. The tunnel-gated system was more efficient than the on-line system since the first parallel station can operate independently. More importantly, we have quantified the productivity of the three different strategies mentioned. Engineers can choose the optimal strategies for installing parallel stations under their working environment.
Further Approximate Optimum Inspection Intervals
Leung, Kit-Nam Francis ;
Industrial Engineering and Management Systems, volume 4, issue 2, 2005, Pages 123~128
The author derives a general explicit formula and presents an heuristic algorithm for solving Baker’s model. The examples show that this new approximate solution procedure for determining near optimum inspection intervals is more accurate than the ones suggested by Chung (1993) and Vaurio (1994), and is more efficient computationally than the one suggested by Hariga (1996). The construction and solution of the simplest profit model for an exponential failure distribution were presented in Baker (1990), and approximate analytical results were obtained by Chung (1993) and Vaurio (1994). The author will therefore mainly devote the following discussion to the problem of further approximating optimum inspection intervals.
Using the Analytical Hierarchy Process as a Tool for Assessing Service Quality
Liu, Dahai ; Bishu, Ram R. ; Najjar, Lotfollah ;
Industrial Engineering and Management Systems, volume 4, issue 2, 2005, Pages 129~135
Continuous quality improvement through process refinement is a must for survival of all industries in the contemporary market place. This is true for both manufacturing and service sectors. While manufacturing has spearheaded quality efforts, the service sector has lagged behind primarily because of inherent difficulties. Customer satisfaction is perhaps the most important performance measure for service quality. There are a number of quality dimensions in service quality, such as reliability, responsiveness, assurance, empathy, and tangibles. An issue of concern is ‘how can one have a unified measure of service quality across all the dimensions?' The intent of this paper is to determine if the Analytical Hierarchy Process (AHP) method could be used to derive a single quality index. AHP is a quantitative technique that structures a multi-attribute, multi-person and multi-period problem hierarchically so that solutions are facilitated. This paper presents the development of an AHP model and the derivation of a Quality Index through it. The model is used in a hypothetical case and a quality index was developed. The advantages of using such a technique are discussed.
A Genetic Algorithm for Order Picking in Automated Storage and Retrieval Systems with Multiple Stock Locations
Ghamari, Yaghoub Khojasteh ; Wang, Shouyang ;
Industrial Engineering and Management Systems, volume 4, issue 2, 2005, Pages 136~144
This research deals with an order picking problem in automated storage and retrieval systems (AS/RS). When retrieval requests consist of multiple items and the items are in multiple stock locations, the storage/retrieval (S/R) machine must travel to numerous storage locations to complete each order. The aim of this research is to propose algorithms for the resolution of order picking problems with multiple stock locations to minimize the total time traveled by the S/R machine. We present and compare three alternatives for solving the problem based on enumeration, ordinary heuristic and genetic algorithms. We used a set of 180 different problems that are solved by these three algorithms. The results show that our proposed genetic algorithm is more efficient than the other two.
An Optimal Ordering policy on Both Way Substitutable Two-Commodity Inventory Control System
Tanaka, Masatoshi ; Yoshikawa, Shin-ichi ; Tabata, Yoshio ;
Industrial Engineering and Management Systems, volume 4, issue 2, 2005, Pages 145~157
There are a lot of raw materials, work-in-processes and finished goods in manufacturing industry. Here, the less stock of materials and work-in-processes manufacturing industry has, the worse the rate of the production is. Inversely, the more manufacturing industry has, the more expensive the cost to support them is. Thus, it is important for us to balance them efficiently. In general, inventory problems are to decide appropriate times to produce goods and to determine appropriate quantities of goods. Therefore, inventory problems require as more useful information as possible. For example, there are demand, lead time, ordering point and so on. In this paper, we deal with an optimal ordering policy on both way substitutable two-commodity inventory control system. That is, there is a problem of how to allocate the produced two kinds of goods in a factory to m areas so as to minimize the total expected inventory cost. The demand of each area is probabilistic, and we adopt the exponential distribution as a probability density function of demand. Moreover, we provide numerical examples of the problem.
A Synthetic Chart to Monitor The Defect Rate for High-Yield Processes
Kusukawa, Etsuko ; Ohta, Hiroshi ;
Industrial Engineering and Management Systems, volume 4, issue 2, 2005, Pages 158~164
Kusukawa and Ohta presented the
chart to monitor the process defect
in high-yield processes that is derived from the count of defects. The
chart is more sensitive to
than the CQ (Cumulative Quantity) chart proposed by Chan et al.. As a more superior chart in high-yield processes, we propose a Synthetic chart that is the integration of the CQ_-r chart and the
chart. The quality characteristic of both charts is the number of units y required to observe r
defects. It is assumed that this quantity is an Erlang random variable from the property that the quality characteristic of the CQ chart follows the exponential distribution. In use of the proposed Synthetic chart, the process is initially judged as either in-control or out-of-control by using the
chart. If the process was not judged as in-control by the
chart, the process is successively judged by using the
chart to confirm the judgment of the
chart. Through comparisons of ARL (Average Run Length), the proposed Synthetic chart is more superior to monitor the process defect rate in high-yield processes to the stand-alone
Analytical Procedures for Designing an Optimal Noise Hazard Prevention Program
Asawarungsaengkul, Krisada ; Nanthavanij, Suebsak ;
Industrial Engineering and Management Systems, volume 4, issue 2, 2005, Pages 165~175
Two extreme and one mixed procedures for designing a noise hazard prevention program are discussed in this paper. The two extreme design procedures (engineering-based and HPD-based) yield upper and lower bounds of the total noise control cost, respectively; while the mixed design procedure provides an optimal noise hazard prevention program within a given total budget. The upper bound of the workforce size for job rotation is approximated using a heuristic procedure. Six optimization models are developed and utilized by the mixed procedure to eliminate or reduce excessive noise levels (or noise exposures) in an industrial workplace. The mixed procedure also follows the OSHA’s hierarchy of noise control. A numerical example is given to demonstrate the application of the proposed design procedures.
A Quantitative Vigilance Measuring Model by Fuzzy Sets Theory in Unlimited Monitoring Task
Liu, Cheng-Li ; Uang, Shiaw-Tsyr ; Su, Kuo-Wei ;
Industrial Engineering and Management Systems, volume 4, issue 2, 2005, Pages 176~183
The theory of signal detection has been applied to a wide range of practical situation for a long time, including sonar detection, air traffic control and so on. In general, in this theory, sensitivity parametric index d' and bias parametric index
are used to evaluated the performance of vigilance. These indices use observer's response "hit" and "false alarm" to explain and evaluate vigilance, but not considering reaction time. However, the reaction time of detecting should be considered in measuring vigilance in some supervisory tasks such as unlimited monitoring tasks (e.g., supervisors in nuclear plant). There are some researchers have used the segments of reaction time to generate a pair of probabilities of hit and false alarm probabilities and plot the receiver operating characteristic curve. The purpose of this study was to develop a quantitative vigilance-measuring model by fuzzy sets, which combined the concepts of hit, false alarm and reaction time. The model extends two-values logic to multi-values logic by membership functions of fuzzy sets. A simulated experiment of monitoring task in nuclear plant was carried out. Results indicated that the new vigilance-measuring model is more efficient than traditional indices; the characteristics of vigilance would be realized more clearly in unlimited monitoring task.
Parameters Influencing the Performance of Ant Algorithms Applied to Optimisation of Buffer Size in Manufacturing
Becker, Matthias ; Szczerbicka, Helena ;
Industrial Engineering and Management Systems, volume 4, issue 2, 2005, Pages 184~191
In this article we study the feasibility of the Ant Colony Optimisation (ACO) algorithm for finding optimal Kanban allocations in Kanban systems represented by Stochastic Petri Net (SPN) models. Like other optimisation algorithms inspired by nature, such as Simulated Annealing/Genetic Algorithms, the ACO algorithm contains a large number of adjustable parameters. Thus we study the influence of the parameters on performance of ACO on the Kanban allocation problem, and identify the most important parameters.
Analysis of The Behavior of Kurtosis By Simplified Model of One Sided Affiliated Impact Vibration
Takeyasu, Kazuhiro ; Higuchi, Yuki ;
Industrial Engineering and Management Systems, volume 4, issue 2, 2005, Pages 192~197
Among many amplitude parameters, Kurtosis (4-th normalized moment of probability density function) is recognized to be the sensitive good parameter for machine diagnosis. Kurtosis has a value of 3.0 under normal condition and the value generally goes up as the deterioration proceeds. In this paper, simplified calculation method of kurtosis is introduced for the analysis of impact vibration with one sided affiliated impact vibration which occurs towards the progress of time. That phenomenon is often watched in the failure of such as bearings’ outer race. One sided affiliated impact vibration is approximated by one sided triangle towards the progress of time and simplified calculation method is introduced. Varying the shape of one sided triangle, various models are examined and it is proved that new index is a sensitive good index for machine failure diagnosis. Utilizing this method, the behavior of kurtosis is forecasted and analyzed while watching machine condition and correct diagnosis is executed.
Technological Innovation and Multiple- and Single-Sourcing Policies In the Automobile Parts Trade
Obayashi, Atsuomi ; Endo, Takuro ;
Industrial Engineering and Management Systems, volume 4, issue 2, 2005, Pages 198~206
The single sourcing policy, in which an automobile manufacturer purchases identical or similar parts from one supplier, has an advantage of scale economy. Meanwhile, multiple sourcing policy, which allows procuring similar parts from multiple suppliers, has benefits of dispersing risks and promoting competition among suppliers. This paper analyzes the procurement policies by presenting a model of the Japanese automobile parts trade. It concludes that maturity of technology involved should be taken into account besides above-mentioned factors which have traditionally been recognized. For parts produced using evolving technologies, the single sourcing enhances purchaser’s benefits because of the scale economy in learning process. In the meantime, multiple sourcing is more beneficial to the purchaser if the parts are based on mature technologies. In either policy, if the technology involved is evolving, motivating suppliers by returning a great part of cost reduction as a reward to them may eventually increase profit for the purchaser. The conclusion supports the situation where the number of suppliers is being cut down as the trend of modularization and system deliveries of parts progresses in the auto parts industry, and suggests that returning part of benefits to parts suppliers may be encouraged from the viewpoint of auto manufacturers’ own interest.
A Framework for Analysis of Systems Failure in Information Systems Integration
Kim, Han-Gook ; Iijima, Junichi ; Ho, Sho ;
Industrial Engineering and Management Systems, volume 4, issue 2, 2005, Pages 207~217
Business mergers are a direct result of rapid changes in the current corporate environment. They are occurring in many industries, including financial institutions. As information systems prove increasingly indispensable in the integration of companies’ business systems, information system integration is becoming increasingly necessary. However, in many cases such integration does not work well. Therefore, this paper proposes a new framework using both IS integration model and IS integration phases to analyze systems failure in IS integration.
On Establishing a New Fee Schedule for General Surgical Procedure Using Fuzzy MCDM
Hung, Chih-Young ; Huang, Yuan-Huei ; Chang, Pei-Yeh ; Wang, Kuei-Ing ; Chang, King-Jen ; Liu, Yi-Hsin ;
Industrial Engineering and Management Systems, volume 4, issue 2, 2005, Pages 218~227
In this research a model for establishing a new, rational fee schedule for general surgical procedures in a national health insurance program is developed. A fuzzy multiple criteria decision-making (FMCDM) model is proposed. The relative values of eleven surgical procedures were obtained through an empirical study based on the FMCDM model. Consequently, a new fee schedule obtained from the FMCDM model. This new fee schedule is more convincing than previous schedule and more persuasive to the references for the policy setting.