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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 11, Issue 4 - Dec 2012
Volume 11, Issue 3 - Sep 2012
Volume 11, Issue 2 - Jun 2012
Volume 11, Issue 1 - Mar 2012
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Comparison of Three Evolutionary Algorithms: GA, PSO, and DE
Kachitvichyanukul, Voratas ;
Industrial Engineering and Management Systems, volume 11, issue 3, 2012, Pages 215~223
DOI : 10.7232/iems.2012.11.3.215
This paper focuses on three very similar evolutionary algorithms: genetic algorithm (GA), particle swarm optimization (PSO), and differential evolution (DE). While GA is more suitable for discrete optimization, PSO and DE are more natural for continuous optimization. The paper first gives a brief introduction to the three EA techniques to highlight the common computational procedures. The general observations on the similarities and differences among the three algorithms based on computational steps are discussed, contrasting the basic performances of algorithms. Summary of relevant literatures is given on job shop, flexible job shop, vehicle routing, location-allocation, and multimode resource constrained project scheduling problems.
A Tradeoff between Customer Efficiency and Firm Productivity in Service Delivery Systems
Trinh, Truong Hong ; Kachitvichyanukul, Voratas ; Luong, Huynh Trung ;
Industrial Engineering and Management Systems, volume 11, issue 3, 2012, Pages 224~232
DOI : 10.7232/iems.2012.11.3.224
The paper proposes a non-parametric methodology, data envelopment analysis, for measuring efficiency and productivity in service delivery systems with capacity constraints. The methodology provides allocation approaches for studying behaviors of firm and customers in service delivery strategy. The experimental study is carried out to investigate allocation behaviors and conduct an objective tradeoff between efficiency approach and productivity approach. The experimental result indicates that the efficiency approach allocates resource via maximizing customer efficiency rather than firm productivity as in the productivity approach. Moreover, the experiment reveals that there exists an objective tradeoff between the efficiency approach and the productivity approach. These findings provide strategic options for allocation policy in service delivery systems.
Generation of Business Process Reference Model Considering Multiple Objectives
Yahya, Bernardo Nugroho ; Wu, Jei-Zheng ; Bae, Hye-Rim ;
Industrial Engineering and Management Systems, volume 11, issue 3, 2012, Pages 233~240
DOI : 10.7232/iems.2012.11.3.233
The implementation of business process management (BPM) systems in large number of business organizations transforms BPM system into such a level of maturity and tends to collect large repositories of business process (BP) models. This issue encourages BP flexibility that leads to a large number of process variants derived from the same model, but differing in structure, to be stored in the large repositories of BP models. Therefore, the repositories may include thousands of activities and related business objects with variation of requirements and quality of service. It is a common practice to customize processes from reference processes or templates in order to reduce the time and effort required to design and deploy processes on all levels. In order to address redundancy and underutilization problems, a generic process model, called as reference BP, is absolutely necessary to cover the best of process variants. This study aims to develop multiple-objective business process genetic algorithm (MOBPGA) to find a set of non-dominated (Pareto) solutions of business reference model to enhance conventional approach which considered only a single objective on creating BP reference model by using proximity score measurement. A mixed-integer linear program is constructed to evaluate performance of the proposed MOBPGA on small-scale problems by using standard measures for multiple-objective techniques. The results will show the viability of applying MOBPGA in terms of simultaneously maximizing proximity score measurement, minimizing total duration, and total costs of the selected reference model.
Determining Critical Service Attributes and Appropriate Improvement Actions in Indonesian HEIs
Sukwadi, Ronald ; Yang, Ching-Chow ;
Industrial Engineering and Management Systems, volume 11, issue 3, 2012, Pages 241~254
DOI : 10.7232/iems.2012.11.3.241
To gain competitive advantage in a fast changing environment, the higher education institution (HEI) must continuously adjust the strategies to that environment. One important strategy is how to determine appropriate practical actions based on what students really need and want. Despite the abundance of research on service quality management, there is no universal consensus on how best to determine appropriate practical actions in HEIs. The aim of this paper is to develop an integrated model to be used to accurately acquire the most critical service attributes and determine appropriate actions that promote student satisfaction. Drawing on relevant literature, an integrated model is proposed which is based on students' perspective by integrating the fuzzy SERVQUAL, refined Kano, and Blue Ocean model. Subsequently, an empirical case study in the higher education sector is described that illustrates the value of the model in determining the most critical attributes and how to improve them.
Development and Implementation of Training Program for Information System Design Using Material Requirements Planning
Yamazaki, Tomoaki ; Yin, Rui ; Kawaguchi, Seisuke ; Hayasaka, Hirotatsu ; Matsumoto, Toshiyuki ; Ichikizaki, Osamu ; Kanazawa, Takashi ;
Industrial Engineering and Management Systems, volume 11, issue 3, 2012, Pages 255~265
DOI : 10.7232/iems.2012.11.3.255
Environments surrounding production sites have changed greatly in recent years. Accommodating environmental changes calls for the design and development of information systems that center on production lines. There is a need for a training program that teaches learners to understand the particulars of an operation and apply that knowledge to an information system. In this research, we used material requirements planning (MRP) as the subject for which basic skills are to be taught and developed an MRP exercise-based training program. The program is designed for 13 lectures of 90 minutes each, and it consists of MRP exercises, modeling methods to represent them, the use of a programming language for system development, and finally, evaluation of the exercises. Lecture materials are described in 505 lecture slides using Microsoft PowerPoint to allow visualization of topics through graphs and models. The developed training program was then delivered to 86 college students, and its results were measured through quizzes to verify educational effectiveness.
Crowd Participation Pattern in the Phases of a Product Development Process that Utilizes Crowdsourcing
Tran, Anhtuan ; Hasan, Shoaib Ul ; Park, Joon-Young ;
Industrial Engineering and Management Systems, volume 11, issue 3, 2012, Pages 266~275
DOI : 10.7232/iems.2012.11.3.266
The rise of crowdsourcing and web 2.0 opens plenty of opportunities for companies who want to exploit external sources of ideas for internal innovation. Utilization of crowdsourcing for product design and development has been attracting the attention of both enterprises and researchers. Many cases of implementation of crowdsourcing for product design and development such as: Threadless, FIAT Mio, Lego online Factory, etc., have made crowdsourcing a promising alternative source of innovative power. Although crowdsourcing gained access due to improved Internet access and web 2.0, it is little understood how the crowd, with respect to participation, behaves for any crowdsourcing project. To investigate this, we conducted an experiment on a real crowd of engineering related individuals to figure out the crowd participation pattern for various product design and development phases of a new product development project. The experiment results give a quantitative view of the participation of the crowd (i.e., crowd participation pattern) in various phases of a product design and development process that utilizes crowdsourcing, provide a practical guidance for companies to harness the power of the crowd sensibly, and provide experimental data for further research in this field.
A Comparative Analysis: Various Storage Rules in Container Yards and Their Performances
Ma, Yaowen ; Kim, Kap-Hwan ;
Industrial Engineering and Management Systems, volume 11, issue 3, 2012, Pages 276~287
DOI : 10.7232/iems.2012.11.3.276
Determining storage locations of containers is an important issue for efficient operation of container terminals. This study assumes a storage yard with a horizontal layout in which blocks are laid out in parallel to the quay and trucks enter at the side of a block to deliver (receive) a container to (from) the yard crane. Various storage rules for determining storage locations of containers are introduced. Simulation studies are conducted for evaluating various rules. The following guidelines are derived from the result of our simulation study: when designing a block, consider a block configuration in which the longest gantry and the longest trolley travel times of rail-mounted gantry cranes (RMGCs) are similar; do not restrict the types of containers that can be stored in a storage area; if different roles are to be assigned to different storage areas, one possible way is to divide a bay into two areas so that some rows in the bay are allocated to inbound containers while the other rows in the same bay are allocated to outbound containers; reserve the space in bay unit for a high productivity of RMGCs but reserve the space in stack unit when the storage space is not enough; when the storage space is not sufficient, allocate storage location in a way of starting from the end and ending at the middle of a block; for reducing the travel distance of internal trucks, provide a higher priority to a block nearer to the berthing position of the corresponding vessel.
Meta-Heuristic Algorithms for a Multi-Product Dynamic Lot-Sizing Problem with a Freight Container Cost
Kim, Byung-Soo ; Lee, Woon-Seek ;
Industrial Engineering and Management Systems, volume 11, issue 3, 2012, Pages 288~298
DOI : 10.7232/iems.2012.11.3.288
Lot sizing and shipment scheduling are two interrelated decisions made by a manufacturing plant and a third-party logistics distribution center. This paper analyzes a dynamic inbound ordering problem and shipment problem with a freight container cost, in which the order size of multiple products and single container type are simultaneously considered. In the problem, each ordered product placed in a period is immediately shipped by some freight containers in the period, and the total freight cost is proportional to the number of containers employed. It is assumed that the load size of each product is equal and backlogging is not allowed. The objective of this study is to simultaneously determine the lot-sizes and the shipment schedule that minimize the total costs, which consist of production cost, inventory holding cost, and freight cost. Because the problem is NP-hard, we propose three meta-heuristic algorithms: a simulated annealing algorithm, a genetic algorithm, and a new population-based evolutionary meta-heuristic called self-evolution algorithm. The performance of the meta-heuristic algorithms is compared with a local search heuristic proposed by the previous paper in terms of the average deviation from the optimal solution in small size problems and the average deviation from the best one among the replications of the meta-heuristic algorithms in large size problems.