Go to the main menu
Skip to content
Go to bottom
REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
> Journal Vol & Issue
Industrial Engineering and Management Systems
Journal Basic Information
Journal DOI :
Korean Institute of Industrial Engineers
Editor in Chief :
Volume & Issues
Volume 15, Issue 2 - Jun 2016
Volume 15, Issue 1 - Mar 2016
Selecting the target year
Control of G/M
/1 Queueing System with N-Policy and Customer Impatience
Lim, Si-Yeong ; Hur, Sun ;
Industrial Engineering and Management Systems, volume 15, issue 2, 2016, Pages 123~130
DOI : 10.7232/iems.2016.15.2.123
We introduce a queueing system with general arrival stream and exponential service time under the N-policy, where customers may renege during idle period and arrival rates may vary according to the server's status. Probability distributions of the lengths of idle period and busy period are derived using absorbing Markov chain approach and a method to obtain the optimal control policy that minimizes long-run expected operating cost per unit time is provided. Numerical analysis is done to illustrate and characterize the method.
Queueing System Operating in Random Environment as a Model of a Cell Operation
Kim, Chesoong ; Dudin, Alexander ; Dudina, Olga ; Kim, Jiseung ;
Industrial Engineering and Management Systems, volume 15, issue 2, 2016, Pages 131~142
DOI : 10.7232/iems.2016.15.2.131
We consider a multi-server queueing system without buffer and with two types of customers as a model of operation of a mobile network cell. Customers arrive at the system in the marked Markovian arrival flow. The service times of customers are exponentially distributed with parameters depending on the type of customer. A part of the available servers is reserved exclusively for service of first type customers. Customers who do not receive service upon arrival, can make repeated attempts. The system operation is influenced by random factors, leading to a change of the system parameters, including the total number of servers and the number of reserved servers. The behavior of the system is described by the multi-dimensional Markov chain. The generator of this Markov chain is constructed and the ergodicity condition is derived. Formulas for computation of the main performance measures of the system based on the stationary distribution of the Markov chain are derived. Numerical examples are presented.
Some Properties of Complex Uncertain Process
You, Cuilian ; Xiang, Na ;
Industrial Engineering and Management Systems, volume 15, issue 2, 2016, Pages 143~147
DOI : 10.7232/iems.2016.15.2.143
Uncertainty appears not only in real quantities but also in complex quantities. Complex uncertain process is essentially a sequence of complex uncertain variables indexed by time. In order to describe complex uncertain process, a formal definition of complex uncertain distribution is given in this paper, as well as the concepts of independence and variance. In addition, some properties of complex uncertain integral are presented.
Continuous Conditional Random Field Model for Predicting the Electrical Load of a Combined Cycle Power Plant
Ahn, Gilseung ; Hur, Sun ;
Industrial Engineering and Management Systems, volume 15, issue 2, 2016, Pages 148~155
DOI : 10.7232/iems.2016.15.2.148
Existing power plants may consume significant amounts of fuel and require high operating costs, partly because of poor electrical power output estimates. This paper suggests a continuous conditional random field (C-CRF) model to predict more precisely the full-load electrical power output of a base load operated combined cycle power plant. We introduce three feature functions to model association potential and one feature function to model interaction potential. Together, these functions compose the C-CRF model, and the model is transformed into a multivariate Gaussian distribution with which the operation parameters can be modeled more efficiently. The performance of our model in estimating power output was evaluated by means of a real dataset and our model outperformed existing methods. Moreover, our model can be used to estimate confidence intervals of the predicted output and calculate several probabilities.
Uncertain Centralized/Decentralized Production-Distribution Planning Problem in Multi-Product Supply Chains: Fuzzy Mathematical Optimization Approaches
Khalili-Damghani, Kaveh ; Ghasemi, Peiman ;
Industrial Engineering and Management Systems, volume 15, issue 2, 2016, Pages 156~172
DOI : 10.7232/iems.2016.15.2.156
Complex and uncertain issues in supply chain result in integrated decision making processes in supply chains. So decentralized (distributed) decision making (DDM) approach is considered as a crucial stage in supply chain planning. In this paper, an uncertain DDM through coordination mechanism is addressed for a multi-product supply chain planning problem. The main concern of this study is comparison of DDM approach with centralized decision making (CDM) approach while some parameters of decision making are assumed to be uncertain. The uncertain DDM problem is modeled through fuzzy mathematical programming in which products' demands are assumed to be uncertain and modeled using fuzzy sets. Moreover, a CDM approach is customized and developed in presence of fuzzy parameters. Both approaches are solved using three fuzzy mathematical optimization methods. Hence, the contribution of this paper can be summarized as follows: 1) proposing a DDM approach for a multi-product supply chain planning problem; 2) Introducing a coordination mechanism in the proposed DDM approach in order to utilize the benefits of a CDM approach while using DDM approach; 3) Modeling the aforementioned problem through fuzzy mathematical programming; 4) Comparing the performance of proposed DDM and a customized uncertain CDM approach on multi-product supply chain planning; 5) Applying three fuzzy mathematical optimization methods in order to address and compare the performance of both DDM and CDM approaches. The results of these fuzzy optimization methods are compared. Computational results illustrate that the proposed DDM approach closely approximates the optimal solutions generated by the CDM approach while the manufacturer's and retailers' decisions are optimized through a coordination mechanism making lasting relationship.
Consumers' Perception towards Corporate Social Responsibility and Repurchase Intention: A Study of Consumer Industry in Vietnam
Thi, QuyVo ; Van, Phung Le ;
Industrial Engineering and Management Systems, volume 15, issue 2, 2016, Pages 173~180
DOI : 10.7232/iems.2016.15.2.173
Nowadays Corporate social responsibility (CSR) has become a critical factor influencing customers' buying intention. The study conducted aims to explore the relationship between customers' perception towards CSR and their repurchase intention. The data was collected by using survey questionnaires from 320 individual customers living in Ho Chi Minh City and processed in SPSS software. The research results showed that among CSR components, economic and charitable responsibilities have a positive impact on Vietnamese customers' repurchase intention at the significance level of 1% and the two other factors at 10%. The findings assume that CSR components have become factors explaining customers' repurchase intention, especially for consumer goods, and firms should enforce their corporate social responsibility to capture customers' repurchase intention and in turn increase their customers' loyalty.
Generating New Product-Service System Concepts Using General Needs and Business System Evolution Patterns: A Furniture PSS Case
Park, Youngjin ; Kim, Mujin ; Yoon, Janghyeok ;
Industrial Engineering and Management Systems, volume 15, issue 2, 2016, Pages 181~195
DOI : 10.7232/iems.2016.15.2.181
In a product environment where various product-service systems (PSSs) are already being provided, the provision of a different type of PSS is difficult for second movers but necessary for their sustainability and differentiation. Despite the importance of providing distinguishing PSSs to market, prior PSS studies have not effectively considered the influence of existing PSSs in their methods. In response, we suggest an approach to generate new PSS concepts by employing general needs (GNs) and business system evolution patterns (BSEPs). Our approach 1) identifies customer GNs fulfilled by existing PSSs, 2) generates advanced PSS ideas from an evolutionary perspective by mapping the existing PSSs onto BSEPs, and 3) selects PSS ideas that can meet the unfulfilled or insufficiently considered GNs using a GN-PSS linking matrix, thereby generating new PSS concepts based on the selected ideas. The workings and practicability of this approach are illustrated using a PSS case study of furniture industry. This approach would provide PSS planners with an ability to generate the differentiated PSS concepts that handle the customer needs that have been untapped throughout a product's lifecycle. In addition, this approach as a module will have a synergetic effect when incorporated with other PSS methodologies.