2015 Informs Annual Meeting

SA75

INFORMS Philadelphia – 2015

SA75 75-Room 204B, CC Digital Manufacturing Cluster: Advanced Manufacturing Invited Session Chair: Binil Starly, Associate Professor, North Carolina State university, 406 Daniels Hall, Raleigh, NC, 27607, United States of America, bstarly@ncsu.edu 1 - Mining Dynamic Recurrences in Nonlinear and Nonstationary Systems for Innovative Manufacturing Hui Yang, Associate Professor, Pennsylvania State University, 310 Leonhard Building, Industrial and Manufacturing Eng., State College, PA, 16801, United States of America, huy25@psu.edu, Yun Chen Nonlinear dynamics arise whenever multifarious entities of a system cooperate, compete, or interfere. Effective monitoring and control of nonlinear dynamics will increase manufacturing system quality and integrity, thereby leading to significant economic and societal impacts. This talk will present novel nonlinear methodologies that mine dynamic recurrences from in-process big data for real- time manufacturing system informatics, monitoring, and control. 2 - In Situ Printing – An Alternative Three Dimensional Laden Structure Fabrication Method Yigong Liu, Drexel University, 3141 Chestnut St., Mechanical Engineering & Mechanics (MEM), Philadelphia, PA, 19104, United States of America, yl525@drexel.edu Recapitulating a structure that mimics the anatomic geometries and intratissue cell distribution as in live organism is a major challenge of tissue engineering nowadays. This article presents a Solid Freeform Fabrication (SFF) based in situ printing method which enables simultaneous cross-linking at ambient environmental conditions (temperature and pressure).3D laden structure with stability time of 14 days in cell culture environment was achieved by the in situ printing method. 3 - Maskless Fabrication of Cell-laden Microfluidic Chips Qudus Hamid, Drexel University, 3141 Chestnut St, Philadelphia, PA, 19104, United States of America, qh25@drexel.edu, Wei Sun, Chengyang Wang, Yigong Liu The utilization of the microfabrication technique to fabricate advanced computing chips has exponentially increased in the last few decades. Though many conventional microfabrication techniques today uses very harsh chemicals, the authors believe that the manipulation of system components and fabrication methods may aid in the utilization of the microfabrication techniques used in fabricating computer chips to develop advanced biological microfluidic systems.

2 - Use of Bayesian Network for Improving Value for Money Analysis Deepak Sharma, Assistant Professor, Department of Civil and Environmental Engineering, California State University Fullerton, 800 N State College Blvd, Engineering Building 311, Fullerton, CA, 92831, United States of America, dsharma@fullerton.edu Value for Money (VfM) analysis is a gateway to Public Private Partnerships (PPPs). Although VfM is the most versatile tool to justify the use of PPPs it has two limitations. First, the analysis cannot integrate qualitative and quantitative outcomes which allows for subjective decision making. Second, the analysis is quiet about risks that are exogenous and have low probability of occurrence. This work uses Bayesian Networks (BN) and simulation to address the shortcomings. 3 - Non-permutation Flowshop with Dependent Set-up Times and Missing Operations In this paper, a mixed-integer linear programming (MILP) model is developed to solve non-permutation flowshop problem with objective of minimizing makespan and increasing service level. Setup times are assumed to be dependent to sequence of jobs on each stage and jobs are allowed to skip one or more stages. The effectiveness and robustness of the model is analyzed and assessed using a case study. A heuristic for finding initial solutions with promising quality is presented. 4 - Environmental System Modeling and Simulation of Atmospheric Fate of Sulfur-dioxide Sudarshan Kurwadkar, Assistant Professor, California State University - Fullerton, 800 N. State College Blvd, Fullerton, CA, 92833, United States of America, skurwadkar@fullerton.edu The objective of this study is to illustrate the transformation and deposition of various sulfur compounds using STELLA software for simulations and visualizations to demonstrate the effectiveness of a system-based approach to model environmental processes. This study documents the effectiveness of STELLA software in modeling selected environmental processes such as transformation and deposition of sulfur dioxide in the atmosphere. 5 - Defining Sustainability Index for Construction Equipment and Minimizing Costs and Emissions Hakob Avetisyan, Assistant Professor, California State University, Department of Civil and Environmental Eng, 800 N. State College Blvd, Fullerton, CA, 92834, United States of America, havetisyan@fullerton.edu The aim of the research was to develop a measure for assessing the sustainability of construction equipment as “Sustainability Index” (SI) that can be used as a component for construction projects sustainability criteria. The other goal was using SI for minimizing costs and emissions from construction equipment through math modeling. Extended analyses were conducted to collect data and through surveys to statewide contractors. Results indicate that similar approach can be applied nationwide. SA77 77-Room 300, CC Supply Chain Management I Contributed Session Chair: Niu Yu, Huazhong University of Science & Technology, 1037 Luoyu Road, Wuhan, China, nyu@hust.edu.cn 1 - The Value of Demand Forecast Updates in a Supply Chain under Asymmetric Information We explore the role of forecast updating in a supply chain with asymmetric demand information, where a supplier sells to a downstream retailer who benefits from demand updates when sales are realized in each period. Although the supplier is unable to observe the demand, it is possible to infer the state of demand through the retailer’s ordering activity. In each period the supplier attempts to extract as much profit as possible based upon her best guess regarding the state of the market. 2 - Dynamic Resource Allocation in Supply Chain Network Systems Nasim Nezamoddini, SUNY at Binghamton, Binghamton, NY, United States of America, nasim.nezam@gmail.com, Sarah Lam The robust network design with two different types of uncertainties including uncertainties in environment and system itself is studied. The multi-commodity supply chain network with suppliers, manufacturing plants, distribution centers and markets is considered as a typical network system. The mathematical model is introduced reflecting effect of stochastic variables such as demand, facilities and performance failures. The new method is presented to solve presented multi-stage dynamic model. Shaya Sheikh, Visiting Assistant Professor, University of Baltimore, 10 Ecoway Ct., Apt. 1A, Towson, MD, 21286, United States of America, ssheikh@ubalt.edu James Cao, University of Saskatchewan, 118 Chubb Cove, Saskatoon, SK, S7T0E7, Canada, cao@edwards.usask.ca

SA76 76-Room 204C, CC Sustainable Infrastructure

Sponsor: Simulation Sponsored Session

Chair: Hakob Avetisyan, Assistant Professor, California State University, Department of Civil and Environmental En, 800 N. State College Blvd, Fullerton, CA, 92834, United States of America, havetisyan@fullerton.edu 1 - A Genetic Algorithm Based Multi-objective Resource Utilization Model for Construction Projects Amir Movafegh, California State University, Department of Civil & Environmental Engi, 800 N. State College Blvd., Fullerton, CA, 92834, United States of America, amirmvffgh@csu.fullerton.edu, Hakob Avetisyan Construction projects are traditionally scheduled assuming unlimited resources. Low efficiency of resource use and the ignorance of limited resource availability are the problems of these techniques. The current trend is towards sustainable construction where the resource-constrained scheduling technique seems more promising. In this study a multi-objective resource utilization model was developed to improve the efficiency level of resources and minimize the peak resource demand of the project.

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