4.7 Article

Interoperability of manufacturing applications using the Core Manufacturing Simulation Data (CMSD) standard information model

Journal

COMPUTERS & INDUSTRIAL ENGINEERING
Volume 62, Issue 4, Pages 1065-1079

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.cie.2011.12.034

Keywords

Interoperability; Discrete event simulation; Product life cycle; Core Manufacturing Simulation Data; Design for manufacturing and assembly

Ask authors/readers for more resources

The goal of this paper is to propose an approach to enhance interoperability between manufacturing applications using the Core Manufacturing Simulation Data Information Model (CMSDIM) in order to streamline design and manufacturing activities throughout the product life cycle. To this end, a system framework required to facilitate such interoperability is first presented. The proposed approach, architecture, and developed translators are then illustrated and demonstrated using two separate case studies. The first case study facilitates design for manufacturing and assembly improvements for the development of new products, allowing for part of a discrete event simulation model of a downstream manufacturing and assembly process to be automatically generated from corresponding product assembly information contained in the lean design engineering software. Conceptual design and development of this case study, which extracts outputs from Design Profit (TM) lean design software and generates a corresponding discrete event simulation model in ProModel (TM) for a Nikon (R) L-100 Camera, is then discussed. The second case study demonstrates interoperability of three applications (order and inventory system, Gantt chart scheduler, and discrete event simulation) for a generic job shop operation. Using the considered case studies, this paper also details and demonstrates the benefits of interoperability enhancement using the CMSDIM, which is an important consideration in any product life cycle. Finally, we discuss how future research opportunities integrating additional manufacturing applications can be used to address intellectual challenges present in our current approach. (C) 2012 Elsevier Ltd. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Computer Science, Interdisciplinary Applications

A two-phased perishable inventory model for production planning in a food industry

Moonsoo Shin, Hwaseop Lee, Kwangyeol Ryu, Yongju Cho, Young-Jun Son

COMPUTERS & INDUSTRIAL ENGINEERING (2019)

Article Agriculture, Multidisciplinary

Simulation based optimization of resource allocation and facility layout for vegetable grafting operations

Sara Masoud, Bijoy Dripta Barua Chowdhury, Young-Jun Son, Chieri Kubota, Russell Tronstad

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2019)

Article Computer Science, Information Systems

Extended decision field theory with social-learning for long-term decision-making processes in social networks

Seunghan Lee, Young-Jun Son

INFORMATION SCIENCES (2020)

Article Otorhinolaryngology

Virtual coach: the next tool in functional endoscopic sinus surgery education

John P. Richards, Aaron J. Done, Samuel R. Barber, Saurabh Jain, Young-Jun Son, Eugene H. Chang

INTERNATIONAL FORUM OF ALLERGY & RHINOLOGY (2020)

Article Otorhinolaryngology

Combining Stereoscopic Video and Virtual Reality Simulation to Maximize Education in Lateral Skull Base Surgery

Samuel R. Barber, Saurabh Jain, Michael A. Mooney, Kaith K. Almefty, Michael T. Lawton, Young-Jun Son, Shawn M. Stevens

OTOLARYNGOLOGY-HEAD AND NECK SURGERY (2020)

Article Clinical Neurology

Integrating Stereoscopic Video with Modular 3D Anatomic Models for Lateral Skull Base Training

Samuel R. Barber, Saurabh Jain, Young-Jun Son, Kaith Almefty, Michael T. Lawton, Shawn M. Stevens

Summary: This study introduces a VR application that allows trainees to interact with 3D anatomic models corresponding to stereoscopic surgical videos. The VR environment enables users to view stereoscopic video and manipulate interactive models, which may significantly aid lateral skull base trainees in learning complex surgical environments. Future studies will further validate this methodology.

JOURNAL OF NEUROLOGICAL SURGERY PART B-SKULL BASE (2021)

Article Computer Science, Interdisciplinary Applications

Mitigating the risk of hazardous materials transportation: A hierarchical approach

Sara Masoud, Sojung Kim, Young-Jun Son

COMPUTERS & INDUSTRIAL ENGINEERING (2020)

Article Computer Science, Interdisciplinary Applications

Dynamic-data-driven agent-based modeling for the prediction of evacuation behavior during hurricanes

Seunghan Lee, Saurabh Jain, Keeli Ginsbach, Young-Jun Son

Summary: The study introduces a dynamic data-driven model to track individuals' preference values over time and proposes agent-based simulation to model effective disaster management strategies. It also analyzes the quantitative relationships among people's evacuations, demographic information, and risk perception based on environmental changes, and conducts what-if analyses during hurricanes to prepare for future disaster situations.

SIMULATION MODELLING PRACTICE AND THEORY (2021)

Article Public, Environmental & Occupational Health

Quantifying SARS-CoV-2 Infection Risk Within the Google/Apple Exposure Notification Framework to Inform Quarantine Recommendations

Amanda M. Wilson, Nathan Aviles, James Petrie, Paloma Beamer, Zsombor Szabo, Michelle Xie, Janet McIllece, Yijie Chen, Young-Jun Son, Sameer Halai, Tina White, Kacey C. Ernst, Joanna Masel

Summary: Early Bluetooth-based exposure notification apps rely on three binary classifications to recommend quarantine, but the reliability of Bluetooth attenuation as a measure of distance is debated. Factors such as uncertainty in exhaled virus-containing plume and inhalation parameters, as well as timing and infectiousness estimation play a crucial role in assessing infection risk. Public health authorities have the flexibility to set thresholds based on initial infection risk or conditional probability of infectiousness for determining quarantine protocols.

RISK ANALYSIS (2022)

Article Automation & Control Systems

Bayesian Modeling of Crowd Dynamics by Aggregating Multiresolution Observations From UAVs and UGVs

Yifei Yuan, Young-Jun Son, Jian Liu

Summary: This article proposes a new crowd dynamics modeling approach that aggregates multiresolution information from UAVs and UGVs. It uses a Bayesian inference framework and specific probability distributions to model crowd dynamics from different resolution observations. A real-time model updating mechanism is developed to implement information aggregation for onboard crowd dynamics inference.

IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2022)

Article Agriculture, Multidisciplinary

Automated workflow analysis in vegetable grafting using an Ultra-Wide Band based real-time indoor location tracking system

Bijoy Dripta Barua Chowdhury, Young-Jun Son, Chieri Kubota, Russell Tronstad

Summary: A novel framework for workflow analysis based on a real-time indoor location tracking system utilizing Ultra-Wide Band technology is proposed. It is applied to identify worker and task associations in the labor-intensive horticultural plant production process and automatically calculates key workflow metrics.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2022)

Article Automation & Control Systems

An Agent-Based Simulation Model to Evaluate Contacts, Layout, and Policies in Entrance, Exit, and Seating in Indoor Activities Under a Pandemic Situation

Md Tariqul Islam, Saurabh Jain, Yijie Chen, Bijoy Dripta Barua Chowdhury, Young-Jun Son

Summary: The article proposes an agent-based simulation model to evaluate contact risks in indoor activities during a pandemic, focusing on indoor seating allocation and traffic movement issues. The suggested seating policy and zonal exit policy can effectively reduce contact risks, helping organizational policymakers assess different policies for safe operation under pandemic situations.

IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING (2022)

Article Engineering, Electrical & Electronic

A Dynamic HMM-Based Real-Time Location Tracking System Utilizing UHF Passive RFID

Bijoy Dripta Barua Chowdhury, Sara Masoud, Young-Jun Son, Chieri Kubota, Russell Tronstad

Summary: An indoor real-time location tracking system using ultra-high frequency passive radio frequency identification technology is proposed in this paper. The system combines static localization with dynamic tracking, developing a dynamic k nearest neighbor driven hidden Markov model to track moving objects. Regression models are iteratively updated over time to relate the tags' received signal strength indicator and distance, generating a fingerprint database for estimating potential locations of tagged objects. The system's performance is evaluated through experiments showing an average tracking error as low as 0.36m.

IEEE JOURNAL OF RADIO FREQUENCY IDENTIFICATION (2022)

Proceedings Paper Agronomy

GRANDES: an online decision support tool for grafting nurseries

S. Masoud, C. Meng, B. Chowdhury, Y-J Son, C. Kubota, R. Tronstad

Summary: In today's competitive market, continuous improvement of resource efficiency is crucial for production facilities to survive. The online tool GRANDES helps users optimize resource allocation and reduce production costs to enhance their competitiveness.

II INTERNATIONAL SYMPOSIUM ON VEGETABLE GRAFTING (2021)

Article Computer Science, Information Systems

A dynamic data driven indoor localisation framework based on ultra high frequency passive RFID system

Bijoy Dripta Barua Chowdhury, Sara Masoud, Young-Jun Son, Chieri Kubota, Russell Tronstad

INTERNATIONAL JOURNAL OF SENSOR NETWORKS (2020)

Article Computer Science, Interdisciplinary Applications

Environmental cold chain distribution center location model in the semiconductor supply chain: A hybrid arithmetic whale optimization algorithm

Xiaolin Wang, Liyi Zhan, Yong Zhang, Teng Fei, Ming-Lang Tseng

Summary: This study proposes an environmental cold chain logistics distribution center location model to reduce transportation costs and carbon emissions. It also introduces a hybrid arithmetic whale optimization algorithm to overcome the limitations of the conventional algorithm.

COMPUTERS & INDUSTRIAL ENGINEERING (2024)

Article Computer Science, Interdisciplinary Applications

Blockchain-enabled integrated model for production-inventory-delivery problem in Physical Internet

Hong-yu Liu, Shou-feng Ji, Yuan-yuan Ji

Summary: This study proposes an architecture that utilizes Ethereum to investigate the production-inventory-delivery problem in Physical Internet (PI), and develops an iterative heuristic algorithm that outperforms other algorithms. However, due to gas prices and consumption, blockchain technology may not always be the optimal solution.

COMPUTERS & INDUSTRIAL ENGINEERING (2024)

Article Computer Science, Interdisciplinary Applications

The fuzzy human-robot collaboration assembly line balancing problem

Paraskevi Th. Zacharia, Elias K. Xidias, Andreas C. Nearchou

Summary: This article discusses the assembly line balancing problem in production lines with collaborative robots. Collaborative robots have the potential to improve automation, productivity, accuracy, and flexibility in manufacturing. The article explores the use of a problem-specific metaheuristic to solve this complex problem under uncertainty.

COMPUTERS & INDUSTRIAL ENGINEERING (2024)