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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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Journal DOI :
Korean Institute of Industrial Engineers
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Volume & Issues
Volume 12, Issue 4 - Dec 2013
Volume 12, Issue 3 - Sep 2013
Volume 12, Issue 2 - Jun 2013
Volume 12, Issue 1 - Mar 2013
Selecting the target year
Foreword-Special Issue on Advances in Logistics and Supply Chain Management
Luong, Huynh Trung ;
Industrial Engineering and Management Systems, volume 12, issue 2, 2013, Pages 73~73
DOI : 10.7232/iems.2013.12.2.073
Effect of Continuity Rate on Multistage Logistic Network Optimization under Disruption Risk
Rusman, Muhammad ; Shimizu, Yoshiaki ;
Industrial Engineering and Management Systems, volume 12, issue 2, 2013, Pages 74~84
DOI : 10.7232/iems.2013.12.2.074
Modern companies have been facing devastating impacts from unexpected events such as demand uncertainties, natural disasters, and terrorist attacks due to the increasing global supply chain complexity. This paper proposes a multi stage logistic network model under disruption risk. To formulate the problem practically, we consider the effect of continuity rate, which is defined as a percentage of ability of the facility to provide backup allocation to customers in the abnormal situation and affect the investments and operational costs. Then we vary the fixed charge for opening facilities and the operational cost according to the continuity rate. The operational level of the company decreases below the normal condition when disruption occurs. The backup source after the disrup-tion is recovered not only as soon as possible, but also as much as possible. This is a concept of the business continuity plan to reduce the recovery time objective such a continuity rate will affect the investments and op-erational costs. Through numerical experiments, we have shown the proposed idea is capable of designing a resilient logistic network available for business continuity management/plan.
Supply Chain Contract with Put and Call Option: The Case of Non-Linear Option Premium Price
Saithong, Chirakiat ; Luong, Huynh Trung ;
Industrial Engineering and Management Systems, volume 12, issue 2, 2013, Pages 85~94
DOI : 10.7232/iems.2013.12.2.085
This research investigates the supply chain contract between a distributor and a supplier in which the selling period is relatively short in comparison with long production lead time. At the first stage, supplier who is a Stackelberg leader offers the distributor a contract with a set of parameters, and subjected to those parameters, the distributor places the number of initial orders as well as options. In order to purchase the option, the distributor pays non-linear option premium price with respect to the number of purchased options. At the second stage, based on realized demand, the distributor has the right to exercise option as either put or call which is limited up to the number of purchased options. The wholesale price contract is used as a benchmarking contract. This research has confirmed that the supply chain contract with a non-linear option premium price can help to coordinate the supply chain.
A Study on Multi-Period Inventory Clearance Pricing in Consideration of Consumer's Reference Price Effect
Koide, Takeshi ; Sandoh, Hiroaki ;
Industrial Engineering and Management Systems, volume 12, issue 2, 2013, Pages 95~102
DOI : 10.7232/iems.2013.12.2.095
It is difficult to determine an appropriate discount price for daily perishable products to increase profit from a long-term standpoint. Even if the discount pricing is efficient to increase profit of the day, consumers memorize the sales price and they might hesitate to purchase the product at a regular price the following day. The authors discussed the inventory clearance pricing for a single period in our previous study by constructing a mathematical model to derive an optimal sales price to maximize the expected profit by considering the reference price effect of demand. This paper extends the discussion to handle the discount pricing for multiple periods. A mathematical analysis is first conducted to reveal the properties on an objective function, which is the present value of total expected profits for multiple periods. An algorithm is then proposed to derive an optimal price for asymmetric consumers. Numerical experiments investigate the characteristics of the objective function and optimal pricings.
A Framework of Managing Supply Chain Disruption Risks Using Network Reliability
Ohmori, Shunichi ; Yoshimoto, Kazuho ;
Industrial Engineering and Management Systems, volume 12, issue 2, 2013, Pages 103~111
DOI : 10.7232/iems.2013.12.2.103
This paper discusses how to manage supply chain disruption risks from natural disasters or other low-likelihood-high-impact risk drivers. After the catastrophic earthquake in Eastern Japan and the severe flood in Thailand, most companies have been attempting to re-establish the business continuity plan to prevent their supply chain from disruption. However, the challenges for managers and individual risks are often interrelated, and thus, actions that mitigate one risk can end up being no contribution as a whole. In this paper, we describe a framework for assessing how much impact individual mitigation strategies have on the entire supply chain protection against disruption, using network reliability. We propose three categories of risk-mitigation approaches: Stabilization, Absorption, and Duplication. We analyze the situation under which each of these strategies is the best suitable. With a clear understanding of relations between these mitigation strategies and the entire supply chain risks, managers can select effective risk-reduction approaches to their supply chain.
Discrimination of Out-of-Control Condition Using AIC in (x, s) Control Chart
Takemoto, Yasuhiko ; Arizono, Ikuo ; Satoh, Takanori ;
Industrial Engineering and Management Systems, volume 12, issue 2, 2013, Pages 112~117
DOI : 10.7232/iems.2013.12.2.112
control chart for the process mean and either the R or s control chart for the process dispersion have been used together to monitor the manufacturing processes. However, it has been pointed out that this procedure is flawed by a fault that makes it difficult to capture the behavior of process condition visually by considering the relationship between the shift in the process mean and the change in the process dispersion because the respective characteristics are monitored by an individual control chart in parallel. Then, the (
, s) control chart has been proposed to enable the process managers to monitor the changes in the process mean, process dispersion, or both. On the one hand, identifying which process parameters are responsible for out-of-control condition of process is one of the important issues in the process management. It is especially important in the (
, s) control chart where some parameters are monitored at a single plane. The previous literature has proposed the multiple decision method based on the statistical hypothesis tests to identify the parameters responsible for out-of-control condition. In this paper, we propose how to identify parameters responsible for out-of-control condition using the information criterion. Then, the effectiveness of proposed method is shown through some numerical experiments.
Profiling Green IT Leaders Quantitatively and Qualitatively
Kim, Yong Seog ; Kwag, Seung Woog ;
Industrial Engineering and Management Systems, volume 12, issue 2, 2013, Pages 118~129
DOI : 10.7232/iems.2013.12.2.118
In this study, we intend to identify key financial variables that can accurately classify Green IT leaders against Green IT followers. In particular, we build and compare single and meta-classifiers to identify the relationship between environmental performance and financial performance, while focusing on selecting and interpreting a final prediction model with a smaller set of financial performance indicators. Our experimental results demonstrate that several key variables representing the size, financial resources, operational efficiency, and risk-taking tendency of an organization can successfully identify Green IT leaders with approximately 90% of accuracy. In addition, we find that Green IT leaders show a higher utilization rate of Web pages as a green marketing channel than Green IT followers while they share common layouts of Web publication to build green IT brands with some differences.
Analysis of Questionnaire Investigation on SNS Utilizing Bayesian Network
Aburai, Tsuyoshi ; Higuchi, Yuki ; Takeyasu, Kazuhiro ;
Industrial Engineering and Management Systems, volume 12, issue 2, 2013, Pages 130~142
DOI : 10.7232/iems.2013.12.2.130
Social Networking Service (SNS) is prevailing rapidly in Japan in recent years. The most popular ones are Facebook, mixi, and Twitter, which are utilized in various fields of life together with the convenient tool such as smart-phone. In this work, a questionnaire investigation is carried out in order to clarify the current usage condition, issues and desired functions. More than 1,000 samples are gathered. Bayesian network is utilized for this analysis. After conducting the sensitivity analysis, useful results are obtained. Differences in usage objectives and SNS sites are made clear by the attributes and preference of SNS users. They can be utilized effectively for marketing by clarifying the target customer through the sensitivity analysis.
The Influence of Airline Brand on Purchase Intention of Air Tickets in China
Choe, Pilsung ; Zhao, Yi ;
Industrial Engineering and Management Systems, volume 12, issue 2, 2013, Pages 143~150
DOI : 10.7232/iems.2013.12.2.143
The number of airline passengers in China has rapidly increased, so understanding the relationship between brand equity of airlines in China and ticket purchase intention of Chinese passengers is important for airline business success in China. Using the structural equation modeling, this study explores the relationships among determinants of brand equity as well as the relationships between brand equity, transition cost, and purchase intention. The major findings are: brand equity of airlines directly influences purchase intention; transition cost directly influences brand equity; and transition cost indirectly influences purchase intention in China. In addition, the results show that marketing strategies using the airline brand can be more effective for certain customer groups, including high income customers, married customers, government servants, and businessmen.
An Efficient PSO Algorithm for Finding Pareto-Frontier in Multi-Objective Job Shop Scheduling Problems
Wisittipanich, Warisa ; Kachitvichyanukul, Voratas ;
Industrial Engineering and Management Systems, volume 12, issue 2, 2013, Pages 151~160
DOI : 10.7232/iems.2013.12.2.151
In the past decades, several algorithms based on evolutionary approaches have been proposed for solving job shop scheduling problems (JSP), which is well-known as one of the most difficult combinatorial optimization problems. Most of them have concentrated on finding optimal solutions of a single objective, i.e., makespan, or total weighted tardiness. However, real-world scheduling problems generally involve multiple objectives which must be considered simultaneously. This paper proposes an efficient particle swarm optimization based approach to find a Pareto front for multi-objective JSP. The objective is to simultaneously minimize makespan and total tardiness of jobs. The proposed algorithm employs an Elite group to store the updated non-dominated solutions found by the whole swarm and utilizes those solutions as the guidance for particle movement. A single swarm with a mixture of four groups of particles with different movement strategies is adopted to search for Pareto solutions. The performance of the proposed method is evaluated on a set of benchmark problems and compared with the results from the existing algorithms. The experimental results demonstrate that the proposed algorithm is capable of providing a set of diverse and high-quality non-dominated solutions.
Generalized Vehicle Routing Problem for Reverse Logistics Aiming at Low Carbon Transportation
Shimizu, Yoshiaki ; Sakaguchi, Tatsuhiko ;
Industrial Engineering and Management Systems, volume 12, issue 2, 2013, Pages 161~170
DOI : 10.7232/iems.2013.12.2.161
Deployment of green transportation in reverse logistics is a key issue for low carbon technologies. To cope with such logistic innovation, this paper proposes a hybrid approach to solve practical vehicle routing problem (VRP) of pickup type that is common when considering the reverse logistics. Noticing that transportation cost depends not only on distance traveled but also on weight loaded, we propose a hierarchical procedure that can design an economically efficient reverse logistics network even when the scale of the problem becomes very large. Since environmental concerns are of growing importance in the reverse logistics field, we need to reveal some prospects that can reduce
emissions from the economically optimized VRP in the same framework. In order to cope with manifold circumstances, the above idea has been deployed by extending the Weber model to the generalized Weber model and to the case with an intermediate destination. Numerical experiments are carried out to validate the effectiveness of the proposed approach and to explore the prospects for future green reverse logistics.