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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
Selecting the target year
Impact of Information Sharing Regarding Customer Returns Ratio on Optimal Sales Strategy under E-commerce
Saito, Yuta ; Kusukawa, Etsuko ;
Industrial Engineering and Management Systems, volume 14, issue 2, 2015, Pages 111~121
DOI : 10.7232/iems.2015.14.2.111
A correct information of customer returns ratio under e-commerce is not always shared between supply chain (SC) members. Also, it is important issue for SC members to handle the unsold products in a market. This paper discusses the impact of information sharing of customer returns ratio on an optimal sales strategy including resale of customer returns and buyback policy for a SC under e-commerce with a manufacturer and a retailer. A retailer sells a single product and resells the resalable customer returns in the same market. A manufacturer produces the products and buys back the unsold products as to their quality from the retailer. The integrated SC (ISC) determines the optimal product order quantity to maximize the expected profit of the whole SC. The decentralized SC (DSC) makes the optimal decisions for order quantity and the wholesale price of products to maximize the expected profit of each SC member. The effect of information sharing is discussed between SC members under ISC and DSC. The analysis numerically investigates how information sharing of the returns ratio affects the optimal decision and the expected profits under ISC and DSC. Besides, effect of SC coordination to encourage the shift to ISC is discussed.
Method and Procedure for Economic Evaluation of Improvement Activities
Kono, Hirokazu ; Ichikizaki, Osamu ;
Industrial Engineering and Management Systems, volume 14, issue 2, 2015, Pages 122~128
DOI : 10.7232/iems.2015.14.2.122
The purpose of this paper is to propose an appropriate evaluation scheme for improvement activities, based on a simple model comprising cash inflow by sales as well as variable and fixed cost expenditures. The paper distinguishes capacity surplus and capacity shortage situations, and examines economic benefits gained by yield increase improvement and capacity increase. The paper then proposes a basic rule of thumb for economic evaluation of improvement activities. The logic is simple but useful in practice, being conducive towards improvement activities under current economic conditions with uncertainties.
Optimal Ordering Policy in Dual-Sourcing Supply Chain Considering Supply Disruptions and Demand Information
Watanabe, Naoki ; Kusukawa, Etsuko ;
Industrial Engineering and Management Systems, volume 14, issue 2, 2015, Pages 129~158
DOI : 10.7232/iems.2015.14.2.129
It is necessary for retailers to determine the optimal ordering policy of products considering supply disruptions due to a natural disaster and a production process failure as quality and machine breakdowns. Under the situation, a dualsourcing supply chain (DSSC) is one of effective SC for retailers to order products reliably. This paper proposes the optimal ordering policy of a product in a DSSC with a retailer and two manufacturers. Two manufacturers may face supply disruptions due to a natural disater and a production process failure after they received the retailer's order of products. Here, two scenarios of demand information of products are assumed: (i) the demand distribution is known (ii) mean and variance of the demand are known. Under above situations, two types of DSSC are discussed. Under a decentralized DSSC (DSC), a retailer determines the optimal ordering policy to maximize his/her total expected profit. Under the integrated DSSC (ISC), the optimal ordering policy is determined to maximize the whole system's total expected profit. Numerical analysis investigates how demand information and supply disruptions affect the optimal decisions under DSC and ISC. Besides, profitability of supply chain coordination adjusting the wholesale price is evaluated to encourage the optimal decision under ISC.
Planning Demand- and Legislation-Driven Remanufacturing for a Product Family: A Model for Maximizing Economic and Environmental Potential
Kwak, Minjung ;
Industrial Engineering and Management Systems, volume 14, issue 2, 2015, Pages 159~174
DOI : 10.7232/iems.2015.14.2.159
Remanufacturing used, end-of-life products is a complex problem involving multiple types of products that may share common parts. Recovery targets assigned by market demand and environmental legislation add more difficulty to the problem. Manufacturers now need to achieve specified take-back and recovery rates while fulfilling demands for remanufactured products. To assists in the demand- and legislation-driven remanufacturing of a family of products (i.e., multiple products that share common parts), this paper introduces a bi-objective mixed integer linear programming (MILP) model for optimizing remanufacturing. The model identifies optimal remanufacturing plans for a product family, whereby, the remanufacturer can achieve demand and recovery targets more profitably and in an environmentally-friendly manner. The model can also be used to quantify and justify the economic and environmental benefits of a product family from a remanufacturing perspective. A case study is presented for remanufacturing an alternatorfamily of products.
Development of a Training System for Lathe Operation Using a Simulator with Relationship between Speed of Tool Feed and Cutting Sound/Shape of Chips
Kawashimo, Takashi ; Doyo, Daisuke ; Yamaguchi, Tatsuya ; Nakajima, Ryosuke ; Matsumoto, Toshiyuki ;
Industrial Engineering and Management Systems, volume 14, issue 2, 2015, Pages 175~182
DOI : 10.7232/iems.2015.14.2.175
The recent manufacturing industry in Japan has found it difficult to transfer skills from trained workers to inexperienced workers because the former ages and then retires. This is a particular problem for lathe process, as this operation requires explicit and tacit knowledge, and defining the skills clearly in a manual is difficult. This study aims to develop a training system for lathe operation by using a simulator; this includes formulas that help define the relationship between the speed of tool feed and cutting sound/shape of chips which were proposed in the preceding study. The developed training system is verified the effectiveness.
Sampling Plans Based on Truncated Life Test for a Generalized Inverted Exponential Distribution
Singh, Sukhdev ; Tripathi, Yogesh Mani ; Jun, Chi-Hyuck ;
Industrial Engineering and Management Systems, volume 14, issue 2, 2015, Pages 183~195
DOI : 10.7232/iems.2015.14.2.183
In this paper, we propose a two-stage group acceptance sampling plan for generalized inverted exponential distribution under truncated life test. Median life is considered as a quality parameter. Design parameters are obtained to ensure that true median life is longer than a given specified life at certain level of consumer's risk and producer's risk. We also explore situations under which design parameters based on median lifetime can be used for other percentile points. Tables and specific examples are reported to explain the proposed plans. Finally a real data set is analyzed to implement the plans in practical situations and some suggestions are given.
Lessons Learned and Challenges Encountered in Retail Sales Forecast
Song, Qiang ;
Industrial Engineering and Management Systems, volume 14, issue 2, 2015, Pages 196~209
DOI : 10.7232/iems.2015.14.2.196
Retail sales forecast is a special area of forecasting. Its unique characteristics call for unique data models and treatment, and unique forecasting processes. In this paper, we will address lessons learned and challenges encountered in retail sales forecast from a practical and technical perspective. In particular, starting with the data models of retail sales data, we proceed to address issues existing in estimating and processing each component in the data model. We will discuss how to estimate the multi-seasonal cycles in retail sales data, and the limitations of the existing methodologies. In addition, we will talk about the distinction between business events and forecast events, the methodologies used in event detection and event effect estimation, and the difficulties in compound event detection and effect estimation. For each of the issues and challenges, we will present our solution strategy. Some of the solution strategies can be generalized and could be helpful in solving similar forecast problems in different areas.
Classification of High Dimensionality Data through Feature Selection Using Markov Blanket
Lee, Junghye ; Jun, Chi-Hyuck ;
Industrial Engineering and Management Systems, volume 14, issue 2, 2015, Pages 210~219
DOI : 10.7232/iems.2015.14.2.210
A classification task requires an exponentially growing amount of computation time and number of observations as the variable dimensionality increases. Thus, reducing the dimensionality of the data is essential when the number of observations is limited. Often, dimensionality reduction or feature selection leads to better classification performance than using the whole number of features. In this paper, we study the possibility of utilizing the Markov blanket discovery algorithm as a new feature selection method. The Markov blanket of a target variable is the minimal variable set for explaining the target variable on the basis of conditional independence of all the variables to be connected in a Bayesian network. We apply several Markov blanket discovery algorithms to some high-dimensional categorical and continuous data sets, and compare their classification performance with other feature selection methods using well-known classifiers.