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ISSN : 1598-7248 (Print)
ISSN : 2234-6473 (Online)
Industrial Engineering & Management Systems Vol.17 No.2 pp.165-165
DOI : https://doi.org/10.7232/iems.2018.17.2.165

Foreword: Special Issue on Flexible Automation and Intelligent Manufacturing

Hosang Jung, Bongju Jeong, Dong-Won Kim
Associate Professor, Asia Pacific School of Logistics, Inha University, Incheon, Republic of Korea
Professor, Department of Industrial Engineering, Yonsei University, Seoul, Republic of Korea
Professor, Department of Industrial and Information Systems Engineering, Chonbuk National University, Jeonju, Republic of Korea


This special issue contains the extended versions of the selected papers from the 26th International Conference on Flexible Automation and Intelligent Manufacturing (FAIM 2016), held in Seoul, Republic of KOREA during the period 27-30 June, 2016. Since 1991 (the first FAIM conference was held in Ireland), the FAIM conference has become the leading international forum for dissemination of current research on all aspects of automation and manufacturing, and highlights how theoretical models and principles underpin practice in a production or service environment. The authors of the papers in this issue were invited to submit the extended versions of their work to the special issue. After undergoing the normal review process of the journal, five papers were accepted for publication in this special issue. In what follows, the five papers are summarized briefly. Han et al. (Title of the paper: “A Solution Procedure for Emergency Logistics Problem in Disaster Scene”) propose a solution procedure for the vehicle routing problem for emergency logistics in disaster situations. The proposed solution procedure is composed of two steps: 1) to generate an emergency vehicle routing plan for individual vehicle using the genetic algorithm; and 2) to coordinate the plans of individual vehicles by applying a priority based heuristic and k-means clustering for the headquarter. The performance of their proposed solution procedure is empirically proven to be efficient in terms of both solution quality and computational time. Ji et al. (Title of the paper: “Feasibility research on development of product-independent assembly complexity model: A case study of a refrigerator”) deal with product assembly complexity. They applied the assembly complexity model to the assembly process of refrigerators, and found that the assembly complexity is significantly correlated with assembly time. They also suggested the way how the assembly complexity model needs to be modified in order to reflect the features of a specific product assembly process. Park (Title of the paper: “Interval Estimation for Mean Response in a Simple Nested Error Regression Model in Gauge R & R Study”) investigates an issue regarding a measurement system which monitors manufacturing processes. Gauge repeatability and reproducibility experiments are used to determine the degree of variability occurred by parts, final products, operators, or gauge itself. To determine whether the variability is appropriately managed in a manufacturing process, confidence intervals for the mean response in a simple nested error regression model can be used. He proposed several confidence intervals for the mean response, and performed computer simulations to check them. Bendatu and Yahya (Title of the paper: “An adaptive time-based kiln schedule using forward chaining approach”) propose a decision support framework for the sequential decision problem of the kiln dry wood process. They utilized the log data to construct a kiln schedule model as a reference for sequential decision problem in kiln dry wood process. Also, they used the process mining based approach to map uncertain numerical attributes such as the change of temperature into an activity profile. Peruzzini and Pellicciari (Title of the paper: “Application of Early Sustainability Assessment to Support the Design of Industrial Systems”) propose an analytical approach to support the design of industrial products by providing an early sustainability assessment of the three aspects of sustainability (environment, cost, and people). Their approach adopts a feature-based approach and a set of key performance indicators to assess the sustainability of the manufacturing and assembly processes and to support an easy and preventive analysis during product design. The editors of this special issue wish to thank the authors of the papers included for their contribution and the anonymous reviewers for the time they spent freely to provide their review on the papers, often more than once for the same paper. Finally, the editors also appreciate Prof. Chi-Hyuck Jun, the managing editor of IEMS for his encouragement and advice which help us better manage the whole review process.





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