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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 14, Issue 4 - Dec 2015
Volume 14, Issue 3 - Sep 2015
Volume 14, Issue 2 - Jun 2015
Volume 14, Issue 1 - Mar 2015
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Applying Genetic Algorithm for Can-Order Policies in the Joint Replenishment Problem
Nagasawa, Keisuke ; Irohara, Takashi ; Matoba, Yosuke ; Liu, Shuling ;
Industrial Engineering and Management Systems, volume 14, issue 1, 2015, Pages 1~10
DOI : 10.7232/iems.2015.14.1.001
In this paper, we consider multi-item inventory management. When managing a multi-item inventory, we coordinate replenishment orders of items supplied by the same supplier. The associated problem is called the joint replenishment problem (JRP). One often-used approach to the JRP is to apply a can-order policy. Under a can-order policy, some items are re-ordered when their inventory level drops to or below their re-order level, and any other item with an inventory level at or below its can-order level can be included in this order. In the present paper, we propose a method for finding the optimal parameter of a can-order policy, the can-order level, for each item in a lost-sales model. The main objectives in our model are minimizing the number of ordering, inventory, and shortage (i.e., lost-sales) respectively, compared with the conventional JRP, in which the objective is to minimize total cost. In order to solve this multi-objective optimization problem, we apply a genetic algorithm. In a numerical experiment using actual shipment data, we simulate the proposed model and compare the results with those of other methods.
Differential Evolution Algorithms Solving a Multi-Objective, Source and Stage Location-Allocation Problem
Thongdee, Thongpoon ; Pitakaso, Rapeepan ;
Industrial Engineering and Management Systems, volume 14, issue 1, 2015, Pages 11~21
DOI : 10.7232/iems.2015.14.1.011
The purpose of this research is to develop algorithms using the Differential Evolution Algorithm (DE) to solve a multi-objective, sources and stages location-allocation problem. The development process starts from the design of a standard DE, then modifies the recombination process of the DE in order improve the efficiency of the standard DE. The modified algorithm is called modified DE. The proposed algorithms have been tested with one real case study (large size problem) and 2 randomly selected data sets (small and medium size problems). The computational results show that the modified DE gives better solutions and uses less computational time than the standard DE. The proposed heuristics can find solutions 0 to 3.56% different from the optimal solution in small test instances, while differences are 1.4-3.5% higher than that of the lower bound generated by optimization software in medium and large test instances, while using more than 99% less computational time than the optimization software.
Hybrid Flow Shop with Parallel Machines at the First Stage and Dedicated Machines at the Second Stage
Yang, Jaehwan ;
Industrial Engineering and Management Systems, volume 14, issue 1, 2015, Pages 22~31
DOI : 10.7232/iems.2015.14.1.022
In this paper, a two-stage hybrid flow shop problem is considered. Specifically, there exist identical parallel machines at stage 1 and two dedicated machines at stage 2, and the objective of the problem is to minimize makespan. After being processed by any machine at stage 1, a job must be processed by a specific machine at stage 2 depending on the job type, and one type of jobs can have different processing times on each machine. First, we introduce the problem and establish complexity of several variations of the problem. For some special cases, we develop optimal polynomial time solution procedures. Then, we establish some simple lower bounds for the problem. In order to solve this NP-hard problem, three heuristics based on simple rules such as the Johnson's rule and the LPT (Longest Processing Time first) rule are developed. For each of the heuristics, we provide some theoretical analysis and find some worst case bound on relative error. Finally, we empirically evaluate the heuristics.
An Auction-Based Dispatching Method for an Electronic Brokerage of Truckload Vehicles
Lee, Jun Ho ; Kim, Kap Hwan ;
Industrial Engineering and Management Systems, volume 14, issue 1, 2015, Pages 32~43
DOI : 10.7232/iems.2015.14.1.032
This study suggests an electronic brokerage system that has the capability of efficiently matching dispatching delivery tasks with trucks. In the brokerage system, individual truck drivers and shippers are allowed to participate in the dispatching process through the internet or wireless communication. An auction-based dispatching method for the electronic brokerage system is suggested. The basic rationale of the auction-based dispatching method-which is a distributed decision-making process-is discussed. The performance of the suggested algorithms is evaluated by a simulation study.
Analyzing the Evolutionary Stability for Behavior Strategies in Reverse Supply Chain
Tomita, Daijiro ; Kusukawa, Etsuko ;
Industrial Engineering and Management Systems, volume 14, issue 1, 2015, Pages 44~57
DOI : 10.7232/iems.2015.14.1.044
In recent years, for the purpose of solving the problem regarding environment protection and resource saving, certain measures and policies have been promoted to establish a reverse supply chains (RSCs) with material flows from collection of used products to reuse the recycled parts in production of products. It is necessary to analyze behaviors of RSC members to determine the optimal operation. This paper discusses a RSC with a retailer and a manufacturer and verifies the behavior strategies of RSC members which may change over time in response to changes parameters related to the recycling promotion activity in RSC. A retailer takes two behaviors: cooperation/non-cooperation in recycling promotion activity. A manufacturer takes two behaviors: monitoring/non-monitoring of behaviors of the retailer. Evolutionary game theory combining the evolutionary theory of Darwin with game theory is adopted to clarify analytically evolutionary outcomes driven by a change in each behavior of RSC members over time. The evolutionary stable strategies (ESSs) for RSC members' behaviors are derived by using the replicator dynamics. The analysis numerically demonstrates how parameters of the recycling promotion activity: (i) sale promotion cost, (ii) monitoring cost, (iii) compensation and (iv) penalty cost affect the judgment of ESSs of behaviors of RSC members.
Monitoring the Change of Technological Impacts of Technology Sectors Using Patent Information: the Case of Korea
Yoon, Janghyeok ; Kim, Mujin ; Kim, Doyeon ; Kim, Jonghwa ; Park, Hyunseok ;
Industrial Engineering and Management Systems, volume 14, issue 1, 2015, Pages 58~72
DOI : 10.7232/iems.2015.14.1.058
A primary concern of national R&D plans is to encourage technological development in private firms and research institutes. For effective R&D planning and program support, it is necessary to assess technological impacts that may exist both directly and indirectly among technology areas within the whole technology system; however, previous studies analyze only direct impacts among technologies, failing to capture both direct and indirect impacts. Therefore, this study proposes an approach based on decision-making trial and evaluation laboratory (DEMATEL) to identifying specific characteristics of technology areas, such as technological impact and degree of cause or effect (DCE). The method employs patent co-classification analysis to construct a technological knowledge flow matrix. Next, to capture both direct and indirect effects among technology areas, it incorporates the modified DEMATEL process into patent analysis. The method helps analysts assess the technological impact and DCE of technology areas, and observe their evolving trajectories over time, thereby identifying relevant technological implications. This study presents a case study using Korean patents registered during 2003-2012. We expect our analysis results to be helpful input for R&D planning, as well as the suggested approach to be incorporated into processes for formulating national R&D plans.
A Function-Based Knowledge Base for Technology Intelligence
Yoon, Janghyeok ; Ko, Namuk ; Kim, Jonghwa ; Lee, Jae-Min ; Coh, Byoung-Youl ; Song, Inseok ;
Industrial Engineering and Management Systems, volume 14, issue 1, 2015, Pages 73~87
DOI : 10.7232/iems.2015.14.1.073
The development of a practical technology intelligence system requires a knowledge base that structures the core information and its relationship distilled from large volumes of technical data. Previous studies have mainly focused on the methodological approaches for technology opportunities, while little attention has been paid to constructing a practical knowledge base. Therefore, this study proposes a procedure to construct a function-based knowledge base for technology intelligence. We define the product-function-technology relationship and subsequently present the detailed steps for the knowledge base construction. The knowledge base, which is constructed analyzing 1110582 patents between 2009 and 2013 from the United States Patent and Trademark Office database, contains the functional knowledge of products and technologies and the relationship between products and technologies. This study is the first attempt to develop a large-scale knowledge base using the concept of function and has the ability to serve as a basis not only for furthering technology opportunity analysis methods but also for developing practical technology intelligence systems.
Verification, Validation, and Accreditation (VV&A) Considering Military and Defense Characteristics
Kim, Jung Hoon ; Jeong, Seugmin ; Oh, Sunkyung ; Jang, Young Jae ;
Industrial Engineering and Management Systems, volume 14, issue 1, 2015, Pages 88~93
DOI : 10.7232/iems.2015.14.1.088
In this paper, we identify the characteristics of modeling and simulation (M&S) for military and defense and propose the method of verification, validation, and accreditation (VV&A) using the identified characteristics. M&S has been widely used for many different applications in military and defense, including training, analysis, and acquisition. Various methods and processes of VV&A have been proposed by researchers and M&S practitioners to guarantee the correctness of M&S. The notion of applying formal credibility assessment in VV&A originated in software engineering reliability testing and the systems engineering development process. However, the VV&A techniques and processes proposed for M&S by the research community have not addressed the characteristics and issues specific to military and defense. We first identify the characteristics and issues of military/defense M&S and then propose techniques and methods for VV&A that are specific for military/defense M&S. Possible approaches for the development of VV&A are also proposed.
Individual Control over the Physical Work Environment to Affect Creativity
Samani, Sanaz Ahmadpoor ; Rasid, Siti Zaleha Binti Abdul ; Sofian, Saudah Bt ;
Industrial Engineering and Management Systems, volume 14, issue 1, 2015, Pages 94~103
DOI : 10.7232/iems.2015.14.1.094
The purpose of this paper is to provide a review of the background information regarding to the impact of personal control over the physical work environment on satisfaction with work environment and creativity at work. Today creativity has a significant and special place in business especially in innovative organizations which need creative people to generate new, and useful ideas for produce new products, services, work methods, systems etc. Moreover the design and appearance of workspace and individual ability to control the ambient conditions of the workplace have significant effect on their behavior, satisfaction and overall outcome including creativity. So the result of this study will contribute towards enhancing the understanding of the effect of office design to enhance employees' creativity.
Causality Analysis for Public and Private Expenditures on Health Using Panel Granger-Causality Test
Lee, Su-Dong ; Lee, Junghye ; Jun, Chi-Hyuck ;
Industrial Engineering and Management Systems, volume 14, issue 1, 2015, Pages 104~110
DOI : 10.7232/iems.2015.14.1.104
Every year governments spend their national budget on public health in order to reduce financial burden of individuals on health. Although it has been widely believed that the increase of public expenditure on health decreases private health expenditure, it has not been proved by analysis with real data. For better understanding, we conducted an empirical study on the real data of 17 OECD countries-Australia, Austria, Canada, Denmark, Finland, Germany, Iceland, Ireland, Japan, Korea, New Zealand, Norway, Portugal, Spain, Sweden, the United Kingdom, and the United States. The panel Granger-causality test is used to verify the cause-and-effect relationship between the two expenditures. As a result, public expenditure on health has a 3 to 4 year-lagged negative effect on private health expenditure in the cases of the 16 countries except for the United States.