• Industrial Engineering and Management Systems
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• v.3 no.1
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• pp.52-58
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• 2004

This report examines the issue of designing an efficient production system by increasing several types of flexibility. Increasing manufacturing flexibility is a key strategy for efficiently improving market responsiveness in the face of uncertain market demand for final products. The manufacturing system comprises multiple plants, of which individual plants have multiple manufacturing lines that are designed to produce limited types of products in accordance with their size and materials. Imbalance in the workload occurs among plants as well as among manufacturing lines because of fluctuations in market demand for final products. Thereby, idleness of some manufacturing lines and longer lead times in some manufacturing lines occur as a result of the high workload. We clarify how these types of flexibility affect manufacturing performance by improving only one type of flexibility or by improving multiple types of flexibility simultaneously. The average lead time and the imbalance in workload are adopted as measures of manufacturing performance. Three types of manufacturing flexibility are interrelated: machine flexibility, routing flexibility, and process flexibility. Machine flexibility refers to the various types of operations that a machine can perform without requiring the prohibitive effort of switching from one order to another. Routing flexibility is the capability of processing a given set of part types using more than one line (alternative line) in the plant. Process flexibility results from being able to build different types of final products at the same plant.

• Industrial Engineering and Management Systems
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• v.12 no.3
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• pp.224-233
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• 2013

In supply chain management, the supply contract can induce collaboration and coordination among the supply chain members in order to optimize supply chain performance. Numerous supply contracts have been examined; however, some difficulties related to the application of these contracts still occur. One of the solutions is to apply the composite supply contract which can assist in the supply chain coordination. This research examines the composite contract of the revenue sharing and quantity flexibility contracts in a two-stage supply chain, which comprises a retailer and a supplier. In this research, a mathematical model of the composite contract is developed; then, the applicability of the proposed composite contract is examined by investigating its capability in terms of supply chain coordination and profit allocation. In the numerical experiments, the composite revenue sharing-quantity flexibility contract showed that it is superior to both component contracts in terms of supply chain coordination and profit allocation among supply chain members.

• Knowledge Management Research
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• v.13 no.2
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• pp.95-109
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• 2012

Changing customer expectation, global competition, and technological requirements force firms to develop agile supply chain capabilities sustaining competitive advantage and business success. To respond, firms are seeking to enhance supply chain agility across the inter-organizational, this study explores the relationship between supply chain competence and supply chain agility on firm performance. The research reviews literature on supply chain capability and classifies capability into two categories as competence and capability based on resource based view and dynamic capabilities. It describes a framework to explore the relationships among supply chain competence (IT flexibility, supply chain flexibility, shared value), supply chain capability (supply chain agility), and firm performance (supply chain performance). The purpose of this study is to find the determinants of supply chain agility and improving firm performance in the perspective of vendor companies. The results indicate strong, positive, and direct relationships between supply chain competence and supply chain agility. Supply chain agility have significant relationships with firm performance. Implication for future research and practice are offered.

• Journal of Korean Society for Quality Management
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• v.27 no.2
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• pp.251-262
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• 1999

In the automated manufacturing systems, the problem regarding how to make production activities flexible is even more important and critical than that regarding how to product large quantities, and the more flexible, if possible, the manufacturing system is, the more competitiveness and profitable factors it gets. This research, therefore, concentrated on establishing the flexibility and evaluating performance on the manufacturing system, operational flexibility is considered because of enabling the manufacturing system to get both the improvement of production rate and the adaptive ability of environment changes. For it, we used the analytical tool, GSPNs, which is a kind of timed Petri-Nets. GSPNs is competent enough to consider practical situations just like operation priorities, machine failure, randomness, concurrency and so on. Through the GSPNs analysis, it is confirmed that in the manufacturing system with operational flexibility is compatible with the traditional performances such as production rate or mean waiting time.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.22 no.51
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• pp.63-72
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• 1999

Many firms have applied flexible manufacturing systems as a means of increasing productivity, profitability, and quality. Therefore, the purpose of this paper is to develop the more efficient justification model through an analytical scoring model with the quantitative factors, flexibility factors, and safety factors under uncertainty. In this paper, the three factors for properly comparing and evaluating of flexible manufacturing systems are presented. Especially, this paper has emphasized the flexibility and safety factor; the one consists of organization assessment, process treatment function, products and products quantity, useful life assesment, and software function, the other presents risk assesment, Y2K problem, safety device analysis, total productive management system, safety management. Finally, a normalized scoring model by the new flexibility and safety factors can be used in real fields for flexible manufacturing systems project selection under uncertainty.

• Journal of muscle and joint health
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• v.10 no.2
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• pp.156-166
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• 2003

Purpose: To investigate the effects of self-management course in patients with ankylosing spondylitis. Method: Forty-nine subjects were sampled according to research criteria, and divided into two groups: 24 of the experimental group and 25 of control group. To the experimental group, self-management course which developed by the investigators was applied for 6 weeks, each session adopted for two hours per week and additional 30-minutes exercise was carried out two times a week. Result: After participating the self-management course in experimental group, 1) the degree of pain was significantly decreased 2) significant improvement in the flexibility of lumbar spine, 3) uncertainty was significantly decreased. 4) Self-efficacy was not changed between the two groups after self-management course. Conclusions: These findings indicate that the self-management course could be effective in improving the flexibility of lumbar spine and decreasing pain, and uncertainty in patients with ankylosing spondylitis.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.43 no.4
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• pp.178-189
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• 2020

The purpose of this study was to analyze structural relationships with regard to the effect of customer integration, which is a type of integration in the supply chain, and market orientation of supply chain on the resulting change in the supply chain and management performance. The results of analysis in this study are as follows: First, customer integration and market orientation had a positive effect on reducing the flexibility and uncertainty of SCM. The decreased flexibility and uncertainty of SCM had a positive effect on non-financial performance, which also had a positive effect on financial performance. Second, customer integration and market orientation had a positive effect on financial and non-financial performance indirectly by decreasing the flexibility and uncertainty of SCM. Third, the effect of customer integration and uncertainty of SCM on the flexibility of SCM changed depending on the position in the supply chain; the effect was larger in the distribution group. The implications based on the analysis results are as follows: It is expected that the ability to deal with market changes in the overall supply chain is improved by laying the foundation for cooperation through establishing information infrastructure, including sharing information with trade partners and integrating systems, and implementing customer integration based on these achievements. It is also necessary to consider the business types and characteristics of individual companies in establishing information infrastructure.

• Proceedings of the Technology Innovation Conference
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• 2003.02a
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• pp.201-220
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• 2003

The purpose of this study was to explore the effect of creativity management factors on R&D performance. To do this, the data(885 cases) was collected from 19 Korean Government-supported Research Institutes, and 3 hypothesis derived from model of creativity management(after here CM) were tested. Major findings are as follows: 1) CM factors are grouped into diversity, autonomy, connectivity, redundancy and flexibility factors; 2) The factors that can explain R&D performance are connectivity, autonomy, diversity and flexibility factors; 3) All CM factors have significant relationship with satisfaction of the employees; 4) Flexibility and connectivity factors give effects on turnover intention of the members. This study has some limitations in model building and empirical testing. But this study provided the theoretical and managerial implications about CM and R&D management, especially Government-supported Research Institute.

• Journal of the Korean Operations Research and Management Science Society
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• v.31 no.2
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• pp.129-140
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• 2006

Quantity Flexibility contract coordinates individually motivated supplier and buyer to the systemwide optimal outcome by effectively allocating the costs of market demand uncertainty. The main feature of the contract is to couple the buyer's commitment to purchase no less than a certain percentage below the forecast with the supplier's guarantee to deliver up to a certain percentage above. In this paper we refine the previous models by adding some realistic features including the upper and lower limits of the purchase. We also incorporate purchase and canceling costs in a cost function to reflect the real world contracting process more accurately. To obtain the solution of the model, we derive a condition for extreme points using the Leibniz's rule and construct an algorithm for finding the optimal solution of the model. Several examples illustrating the algorithm show that the approach is valid and efficient.

• Journal of Digital Convergence
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• v.20 no.5
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• pp.165-171
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• 2022

The purpose of this study is to verify the effect of human resource flexibility on organizational commitment and to verify the mediating effect of self-efficacy in the relationship between human resource flexibility and organizational commitment. In order to achieve this research purpose, a survey was conducted on employees working in the service industry in China, and the results of the analysis are as follows. First, it was found that technological flexibility, behavioral flexibility, and relationship flexibility, which are sub-factors of human resource flexibility, all had a significant positive effect on organizational commitment. Second, as a result of verifying the mediating effect of self-efficacy in the relationship between human resource flexibility and organizational commitment, it was verified that self-efficacy has a partial mediating effect in the relationship between technological flexibility, behavioral flexibility, relationship flexibility, and organizational commitment. Finally, the implications of this study were presented and the future research direction was discussed.