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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
Selecting the target year
An Enhanced Two-Phase Fuzzy Programming Model for Multi-Objective Supplier Selection Problem
Fatrias, Dicky ; Shimizu, Yoshiaki ;
Industrial Engineering and Management Systems, volume 11, issue 1, 2012, Pages 1~10
DOI : 10.7232/iems.2012.11.1.001
Supplier selection is an essential task within the purchasing function of supply chain management because it provides companies with opportunities to reduce various costs and realize stable and reliable production. However, many companies find it difficult to determine which suppliers should be targeted as each of them has varying strengths and weaknesses in performance which require careful screening by the purchaser. Moreover, information required to assess suppliers is not known precisely and typically fuzzy in nature. In this paper, therefore, fuzzy multi-objective linear programming (fuzzy MOLP) is presented under fuzzy goals: cost minimization, service level maximization and purchasing risk. To solve the problem, we introduce an enhanced two-phase approach of fuzzy linear programming for the supplier selection. In formulated problem, Analytical Hierarchy Process (AHP) is used to determine the weights of criteria, and Taguchi Loss Function is employed to quantify purchasing risk. Finally, we provide a set of alternative solution which enables decision maker (DM) to select the best compromise solution based on his/her preference. Numerical experiment is provided to demonstrate our approach.
Safer Zone Analysis for Multiple Investment Alternatives on the Total-Cost Unit-Cost Domain
Kono, Hirokazu ;
Industrial Engineering and Management Systems, volume 11, issue 1, 2012, Pages 11~17
DOI : 10.7232/iems.2012.11.1.011
Along with the recent trend toward increasing variety and shorter life of products in the market, evaluation of risk for economic investment alternatives is of practical importance in manufacturing companies. This paper assumes that each alternative is composed of demand volume and unit sales price as income factors, and unit variable cost and fixed cost as expense factors. The paper assumes that these four factors move worse from the originally expected values, toward the direction of decreasing profit. Values of these four factors are also assumed to fluctuate from year to year over the entire multi-period. By applying the analysis of the breakeven points to each of the four factors, safer area against these changes is represented on the two dimensional domain called normalized total-cost unit-cost domain. A practical numerical example is analyzed to verify the validity of the proposed method.
Uncertain Programming Model for Chinese Postman Problem with Uncertain Weights
Zhang, Bo ; Peng, Jin ;
Industrial Engineering and Management Systems, volume 11, issue 1, 2012, Pages 18~25
DOI : 10.7232/iems.2012.11.1.018
IChinese postman problem is one of the classical combinatorial optimization problems with many applications. However, in application, some uncertain factors are frequently encountered. This paper employs uncertain programming to deal with Chinese postman problem with uncertain weight Within the framework of uncertainty theory, the concepts of expected shortest route,
-shortest route, and distribution shortest route are proposed. After that, expected shortest model, and
-shortest model are constructed. Taking advantage of properties of uncertainty theory, these models can be transf-ormed into their corresponding deterministic forms, which can be solved by classical algorithm..
Support Vector Machine Based on Type-2 Fuzzy Training Samples
Ha, Ming-Hu ; Huang, Jia-Ying ; Yang, Yang ; Wang, Chao ;
Industrial Engineering and Management Systems, volume 11, issue 1, 2012, Pages 26~29
DOI : 10.7232/iems.2012.11.1.026
In order to deal with the classification problems of type-2 fuzzy training samples on generalized credibility space. Firstly the type-2 fuzzy training samples are reduced to ordinary fuzzy samples by the mean reduction method. Secondly the definition of strong fuzzy linear separable data for type-2 fuzzy samples on generalized credibility space is introduced. Further, by utilizing fuzzy chance-constrained programming and classic support vector machine, a support vector machine based on type-2 fuzzy training samples and established on generalized credibility space is given. An example shows the efficiency of the support vector machine.
A Mathematical Analysis on Daily Inventory Clearance Pricing with Consumer's Reference Price
Koide, Takeshi ; Sandoh, Hiroaki ;
Industrial Engineering and Management Systems, volume 11, issue 1, 2012, Pages 30~38
DOI : 10.7232/iems.2012.11.1.030
This paper discusses a clearance pricing on daily perishable products considering a reference price of consumers. The daily perishable products are sometimes sold at a discount price before closing time to stimulate demand when the number of unsold products is more than initially envisioned. The discount pricing results both in an increase of the revenue of the day and in a decrease of the disposal cost. The discounting, however, also declines a reference price of consumers which is a mental price and serves as an anchor price to judge if a current sales price is loss or gain for the consumers. An excess discounting decreases the demand for the products sold at a regular price in the future and diminishes long-term profit. This study conducts a mathematical analysis on the clearance pricing problem for a single period with stochastic variations both on demand and on the inventory level at clearance time. The expected profit function especially depends on the response of consumers to the clearing price against their reference prices. A procedure is proposed to derive an optimal clearance price when consumers are loss-neutral. A sufficient condition is shown to obtain an optimal price for loss-averse and loss-seeking consumers by an analogous procedure.
Communication-Centered Project Management for Requirements Definition Phase
Ishii, Nobuaki ; Muraki, Masaaki ;
Industrial Engineering and Management Systems, volume 11, issue 1, 2012, Pages 39~47
DOI : 10.7232/iems.2012.11.1.039
Requirements definition, which determines a project baseline, has a strong impact on the success of a project. However, since in-depth requirements are gradually revealed through the requirements definition process, the requirements definition is not a straight forward process and often falls into disorder. Thus project management standpoints are critical for the success of the requirements definition. In this paper, we present a framework and mechanisms of communication-centered project management, which controls the requirements definition process based on the situation of communication-oriented activities among stakeholders. In addition, we present a communication-centered project plan with a planning method. The project plan, which represents a time schedule of requirements definition activities, is made by a simulation-optimization algorithm using a stakeholder matrix showing the relations of requirements domains and relevant stakeholders. The effectiveness and the significance of communication-centered project management at the requirements definition phase are demonstrated by numerical examples.
Optimal Switching Frequency in Limited-Cycle with Multiple Periods
Sun, Jing ; Yamamoto, Hisashi ; Matsui, Masayuki ; Kong, Xianda ;
Industrial Engineering and Management Systems, volume 11, issue 1, 2012, Pages 48~53
DOI : 10.7232/iems.2012.11.1.048
Due to the customer needs of reducing cost and delivery date shorting, prompt change in the production plan became more important. In the multi period system (For instance, production line.) where target processing time exists, production, idle and delay risks occur repeatedly for multiple periods. In such situations, delay of one process may influence the delivery date of an entire process. In this paper, we discuss the minimum expected cost of the case mentioned above, where the risk depends on the previous situation and occurs repeatedly for multiple periods. This paper considers the optimal switching frequency to minimize the total expected cost of the production process. In this paper, first, the optimal switching frequency model is proposed. Next, the mathematic formulation of the total expectation is presented. Finally, the policy of optimal switching frequency is investigated by numerical experiments.
An Integrated Approach to Measuring Supply Chain Performance
Theeranuphattana, Adisak ; Tang, John C.S. ; Khang, Do Ba ;
Industrial Engineering and Management Systems, volume 11, issue 1, 2012, Pages 54~69
DOI : 10.7232/iems.2012.11.1.054
Chan and Qi (SCM 8/3 (2003) 209) developed an innovative measurement method that aggregates performance measures in a supply chain into an overall performance index. The method is useful and makes a significant contribution to supply chain management. Nevertheless, it can be cumbersome in computation due to its highly complex algorithmic fuzzy model. In aggregating the performance information, weights used by Chan and Qi-which aim to address the imprecision of human judgments-are incompatible with weights in additive models. Furthermore, the default assumption of linearity of its scoring procedure could lead to an inaccurate assessment of the overall performance. This paper addresses these limitations by developing an alternative measurement that takes care of the above. This research integrates three different approaches to multiple criteria decision analysis (MCDA)-the multiattribute value theory (MAVT), the swing weighting method and the eigenvector procedure-to develop a comprehensive assessment of supply chain performance. One case study is presented to demonstrate the measurement of the proposed method. The performance model used in the case study relies on the Supply Chain Operations Reference (SCOR) model level 1. With this measurement method, supply chain managers can easily benchmark the performance of the whole system, and then analyze the effectiveness and efficiency of the supply chain.
Design Requirements in Software and Engineering Systems
Eleiche, A.M. ; Ahmad, I. ; Elish, M.O. ;
Industrial Engineering and Management Systems, volume 11, issue 1, 2012, Pages 70~81
DOI : 10.7232/iems.2012.11.1.070
The subject of "Design Requirements" (DR) is central to the design of software and engineering systems. The main reason for this is that quality aspects are usually closely tied to requirements, among other things. In this review paper, we consider how the subject of requirements is being managed in these two seemingly different design disciplines. Two important aspects are covered, namely: (a) requirements development, describing various activities leading to requirements documentation, and (b) requirements change management, describing various activities needed for the proper treatment of the inevitable changes in requirements. Similarities and differences on how these two aspects are handled in software and engineering systems are highlighted. It is concluded from this literature survey that the management of software requirements is quite coherent and well established as a science. On the other hand, management of engineering systems requirements suffer from being unstructured, in particular when requirements changes are involved. Important gaps and future important research areas are identified.
Pre-Processing of Query Logs in Web Usage Mining
Abdullah, Norhaiza Ya ; Husin, Husna Sarirah ; Ramadhani, Herny ; Nadarajan, Shanmuga Vivekanada ;
Industrial Engineering and Management Systems, volume 11, issue 1, 2012, Pages 82~86
DOI : 10.7232/iems.2012.11.1.082
In For the past few years, query log data has been collected to find user's behavior in using the site. Many researches have studied on the usage of query logs to extract user's preference, recommend personalization, improve caching and pre-fetching of Web objects, build better adaptive user interfaces, and also to improve Web search for a search engine application. A query log contain data such as the client's IP address, time and date of request, the resources or page requested, status of request HTTP method used and the type of browser and operating system. A query log can offer valuable insight into web site usage. A proper compilation and interpretation of query log can provide a baseline of statistics that indicate the usage levels of website and can be used as tool to assist decision making in management activities. In this paper we want to discuss on the tasks performed of query logs in pre-processing of web usage mining. We will use query logs from an online newspaper company. The query logs will undergo pre-processing stage, in which the clickstream data is cleaned and partitioned into a set of user interactions which will represent the activities of each user during their visits to the site. The query logs will undergo essential task in pre-processing which are data cleaning and user identification.
An Optimal Weighting Method in Supervised Learning of Linguistic Model for Text Classification
Mikawa, Kenta ; Ishida, Takashi ; Goto, Masayuki ;
Industrial Engineering and Management Systems, volume 11, issue 1, 2012, Pages 87~93
DOI : 10.7232/iems.2012.11.1.087
This paper discusses a new weighting method for text analyzing from the view point of supervised learning. The term frequency and inverse term frequency measure (tf-idf measure) is famous weighting method for information retrieval, and this method can be used for text analyzing either. However, it is an experimental weighting method for information retrieval whose effectiveness is not clarified from the theoretical viewpoints. Therefore, other effective weighting measure may be obtained for document classification problems. In this study, we propose the optimal weighting method for document classification problems from the view point of supervised learning. The proposed measure is more suitable for the text classification problem as used training data than the tf-idf measure. The effectiveness of our proposal is clarified by simulation experiments for the text classification problems of newspaper article and the customer review which is posted on the web site.
An Interactive Planning and Scheduling Framework for Optimising Pits-to-Crushers Operations
Liu, Shi Qiang ; Kozan, Erhan ;
Industrial Engineering and Management Systems, volume 11, issue 1, 2012, Pages 94~102
DOI : 10.7232/iems.2012.11.1.094
In this paper, an interactive planning and scheduling framework are proposed for optimising operations from pits to crushers in ore mining industry. Series of theoretical and practical operations research techniques are investigated to improve the overall efficiency of mining systems due to the facts that mining managers need to tackle optimisation problems within different horizons and with different levels of detail. Under this framework, mine design planning, mine production sequencing and mine transportation scheduling models are integrated and interacted within a whole optimisation system. The proposed integrated framework could be used by mining industry for reducing equipment costs, improving the production efficiency and maximising the net present value.
A Simulation Study on a Workload-based Operation Planning Method in Container Terminals
Jeong, Yeon-Ho ; Kim, Kap-Hwan ; Woo, Youn-Ju ; Seo, Bo-Hyeon ;
Industrial Engineering and Management Systems, volume 11, issue 1, 2012, Pages 103~113
DOI : 10.7232/iems.2012.11.1.103
A yard in a container terminal is a temporary storage space before containers are loaded onto the target vessel or delivered to consignees. For improving the utilization of the space in the yard and the efficiency of loading and discharging operations, it is important that operation plans must be carefully constructed in advance. A heuristic method is suggested to solve operation space planning problems considering workloads on handling equipment as well as space availabilities. The operation plans in this paper includes quay crane (QC) schedules and space plans for multiple vessels considering the workload in the container yard of container terminals. This paper evaluates the effectiveness of a space planning method and the performance of a new QC scheduling method using a simulation model.
Non-Identical Parallel Machine Scheduling with Sequence and Machine Dependent Setup Times Using Meta-Heuristic Algorithms
Joo, Cheol-Min ; Kim, Byung-Soo ;
Industrial Engineering and Management Systems, volume 11, issue 1, 2012, Pages 114~122
DOI : 10.7232/iems.2012.11.1.114
This paper considers a non-identical parallel machine scheduling problem with sequence and machine dependent setup times. The objective of this problem is to determine the allocation of jobs and the scheduling of each machine to minimize makespan. A mathematical model for optimal solution is derived. An in-depth analysis of the model shows that it is very complicated and difficult to obtain optimal solutions as the problem size becomes large. Therefore, two meta-heuristics, genetic algorithm (GA) and a new population-based evolutionary meta-heuristic called self-evolution algorithm (SEA), are proposed. The performances of the meta-heuristic algorithms are evaluated through compare with optimal solutions using randomly generated several examples.
Automation of Decision-Making in the Game "Ecopoly" for Education on Relationship between Environment and Economy
Komuro, Tatsuya ; Shinozaki, Ayano ; Kim, Aramu ; Doyo, Daisuke ; Matsumoto, Toshiyuki ;
Industrial Engineering and Management Systems, volume 11, issue 1, 2012, Pages 123~132
DOI : 10.7232/iems.2012.11.1.123
Recently, global environmental problems have become serious due to human economic activities. Therefore, in order to build a sustainable society in which human economic activities coexist with nature, it is important to promote and enhance environmental education. As a preceding study, a board and computer game of "Ecopoly," which is the game for education on global environmental problems, were developed. This study further aims to develop algorithms which make decisions in Ecopoly, to automate decision-makings of opponents using the algorithms, and to develop the environmental educational game "Ecopoly V" which enables self-learning. In order to develop the algorithms, the board game of Ecopoly was played, and each player's decision-makings at the all points at which players make a decision were observed and analyzed. From the analyses, it became clear that the decision-makings were distinguished by 3 characteristics; Ecology type, Economy type, and Balance type. Based on the characteristics, the factors and standard values of each decision-making were made clear. Algorithms were developed based on the factors and standard values. Ecopoly V was developed by incorporating the algorithms into the computer game of Ecopoly. Experimental testing of the game was conducted and the validity of the game was verified.