Conference Session

Advances in CAD with Emphasis on Dimensioning

Collection

2014 ASEE Annual Conference & Exposition

Authors

Holly K. Ault Ph.D., Worcester Polytechnic Institute; Linjun Bu; Kejiang Liu, Worcester Polytechnic Institute

Tagged Divisions

Engineering Design Graphics

strategy (J2), which contained 5sketched features, 4 copy features, one hole and one edge feature. Two additional parts weremodeled to determine whether the feature types would affect the complexity index calculations.Part A, shown in Figure 6, was modeled using only extrusions for A1, and a combination of Page 24.1093.6revolve and extrude features for A2. Part B, shown in Figure 7, was modeled using onlyextrusions for B1 but included a blend feature for B2. Results of the complexity calculations forparts modeled with these alternative strategies are shown in Table 1. Note that parts K and J weremodeled using the same collection of features for the

Conference Session

Future Career and Professional Success for Graduate Students

Collection

2014 ASEE Annual Conference & Exposition

Authors

Janie McClurkin, Purdue University, West Lafayette; Velvet Fitzpatrick, Purdue University, West Lafayette; Catherine G.P. Berdanier, Purdue University, West Lafayette; Monica Farmer Cox, Purdue University, West Lafayette; Cyndi Lynch, Purdue University, West Lafayette

Tagged Divisions

Graduate Studies

). How People Learn: Brain, Mind, Experience, and School: Expanded Edition, Washington, DC: The National Academies Press.   4. Cox, M.F., London, J.S., Ahn, B., Zhu, J., Torres-Ayala, A.T., Frazier, S., & Cekic, O. (2011) Attributes of Success for Engineering Ph.D.s: Perspectives from Academia and Industry, 2011 Proceedings of the American Society for Engineering Education (10 pages). 5. Ahn, B., Zhu, J., Cox, M.F., London, J.S., & Branch, S. (2013). Recommendations for Engineering Doctoral Education: Design of an Instrument to Evaluate Change. 2013 Proceedings of the Frontiers in Education Conference, Oklahoma City, OK. 6. Pruitt-Logan, A. S., Gaff, J. G., Jentoft, J. E. (2002). Preparing

Conference Session

Sustainability

Collection

2014 ASEE Annual Conference & Exposition

Authors

Mary Katherine Watson, The Citadel; Joshua Pelkey, AirWatch; Michael Owen Rodgers, Georgia Institute of Technology; Caroline R. Noyes, Georgia Institute of Technology

Tagged Divisions

Liberal Education/Engineering & Society, Multidisciplinary Engineering

rubric for assessing engineering education. Journal of Engineering Education, 2004. 93(2): p. 105-115.29. Borrego, M., et al., Using concept maps to assess interdisciplinary integration of green engineering knowledge. Advances in Engineering Education, 2009. 1(3): p. 1-26.30. Segalàs, J., D. Ferrer-Balas, and K.F. Mulder, What do engineering students learn in sustainability courses? The effect of the pedagogical approach. Journal of Cleaner Production, 2010. 18(3): p. 275-284.31. Carew, A.L. and C.A. Mitchell, Characterizing undergraduate engineering students' understanding of sustainability. European Journal of Engineering Education, 2002. 27(4): p. 349 - 361.32. Hayles, C. and B. de la Harpe. A study of student

Collection

2014 ASEE Zone 1 Conference

Authors

Hui Zhang; Joseph Chen; Kai Zhang

Proceedings of 2014 Zone 1 Conference of the American Society for Engineering Education (ASEE Zone 1) RFID-based Localization System for Mobile robot with Markov Chain Monte Carlo Hui Zhang, Joseph C Chen, Kai Zhang technologies for localizing mobile robots in indoorAbstract ---This paper proposes a robust and precise environments.localization system for mobile robots with the aid of Radio For localization, Ultra-wideband (UWB) and ultrasonicFrequency Identification (RFID) technology and the

Conference Session

K-12 and Pre-College Engineering Division Curriculum Exchange

Collection

2014 ASEE Annual Conference & Exposition

Authors

Shelley Goldman, Stanford University; Maureen Carroll; Molly Bullock Zielezinski, Stanford University; Aaron Loh, Ministry of Education, Singapore; Eng Seng Ng, Stanford University; Stephanie Bachas-Daunert, Stanford University

Tagged Divisions

K-12 & Pre-College Engineering

succeed in the 21st Century. Aaron also holds a bachelor’s degree in English from the University of Cambridge, and a Masters in English and American literature from Stanford University.Mr. Eng Seng Ng, Stanford UniversityStephanie Bachas-Daunert, Stanford University Page 24.440.1 c American Society for Engineering Education, 2014Grade Level: 6-8Authors: Shelley Goldman, Maureen Carroll, Molly B. Zielezinski, Stephanie Bachas-DaunertAuthor Contact Information: sgoldman@stanford.edu, mbullock@stanford.eduNext Generation Science Standards: MS-LS2-5 Ecosystems: Interactions, Energy, and DynamicsActivity

Collection

2014 ASEE Zone 1 Conference

Authors

Jian Chen; Xingguo Xiong; Mirza Rishad Hasan

this project, we use Fig. 3. Schematic view of 8-bit static CMOS full adderCadence OrCAD PSPICE to build the circuit. The PSPICEschematic design of the one-bit CMOS full adder is shown There are 28 transistors in each block, so there are totallyin Figure 2. 224 transistors in the 8-bit CMOS full adder. In the simulation, I give 8 patterns to both input A and input B. The input A: a0a1a2a3a4a5a6a7 = ‘01111000’, ‘01101010’, ‘11101100

Collection

2014 ASEE Zone 1 Conference

Authors

Fei Mi; Zixun Tong; Xingguo Xiong

: The equation of Mixing Efficiency: where Ci is the mole percentage of the No. i dot in a certain area, n is the number of style points in a certain cross section,is the ideal mole percentage, Ci is a number in range from 0 to 1. When Ci is 0.5, it indicates A fluid and B fluid are mixed completely. The Intensity of Segregation and Variation

Collection

2014 ASEE Zone 1 Conference

Authors

WANG Zhiguo; GONG Bengang; YANG Shanlin

(3) I J L m I J Tenterprises must meet the requirements of stable production or ∑∑∑∑ cijkltm xijklt ≤ ∑∑ cijm , ∑ xijklt ≤ X ijkloutput orders; b. quality, enterprises must control the scrap i =1 j =1 l t i =1 j =1 t =1rate or product failure rate within a certain percentage; c. costsor expenses, enterprises take profit and efficiency as thecentral tasks, so the economic indicators like the input and III. MODEL ALGORITHMoutput must be controlled to a feasible extent or the cost

Conference Session

WIED: Pre-College Student Experiences

Collection

2014 ASEE Annual Conference & Exposition

Authors

Sruti Modekurty; Judy Fong, UC Davis; Harry H. Cheng, University of California, Davis

Tagged Divisions

Women in Engineering

it all into motor rotations for the robot. For more challengingtask, the robot was required to start in Zone A, touch Zone B, and finish in Zone 3. These threezones were spread out on the board. This taught them about turning, program modularity, errorchecking, and the importance of testing small portions of code.The second project was a video project. The campers were asked to identify a real-worldproblem and design a solution using robotics. Using the Linkbots, they then had to create a videoto explain the problem and their solution. This project was designed to show them how they canuse their skills in engineering, computing, and robotics to solve problems, something girls seemto identify with. They were also able to use their seemingly

Collection

2014 ASEE Zone 1 Conference

Authors

Gautam Siwach; Amir Esmailpour

issues leading to loss of data are of utter importance.encoding technique in order to perform an expedited search Proper implementation is essential at all stages for theover encrypted text ensuring the security enhancements in medium to be secure. We emphasize securing the clustersbig data. and the network technologies illustrated in the Fig.1 because they seek specific concern in order to substantiateKeywords - Big Data, Cluster, Hadoop, Security the eradication of vulnerabilities. I. INTRODUCTION Databases works on a very

Conference Session

Tricks of the Trade

Collection

2014 ASEE Annual Conference & Exposition

Authors

Jumoke Oluwakemi Ladeji-Osias, Morgan State University; Anita M. Wells, Morgan State University

Tagged Divisions

New Engineering Educators

, J.S., “A handbook for classroom management that works,” Association for Supervision & Curriculum Development (ASCD), Alexandria, VA, pp 1­66, 2005.3. B. Van Veen, “Flipping Signal­Processing Instruction, IEEE Signal Processing Magazine,” vol. 30, no. 6, pp. 145 – 150, 2013. DOI: 10.1109/MSP.2013.22766504. A. Seidman, “The Learning Killer: Disruptive Student Behavior in the Classroom”, Reading Improvement, vol. 42, no. 1, pp. 40­46, 2005.5. C. M. Clark, and P. J. Springer, , “Thoughts on incivility: student and faculty perceptions of uncivil behavior in nursing education,” Nursing Education Perspectives, vol. 28, no. 2, pp. 93–97, Mar.–Apr. 2007.6. D. Wingert, and T. Molitor, “Best Practices: Preventing and

Conference Session

Graduate Ethics Education & Professional Codes

Collection

2014 ASEE Annual Conference & Exposition

Authors

James Craig Hanks, Texas State University, San Marcos; Dominick Esperanza Fazarro, The University of Texas at Tyler; Jitendra S. Tate, Texas State University, San Marcos; Walt Trybula, Texas State University & Trybula Foundation, Inc.; Robert J.C. McLean, Texas State University

Tagged Divisions

Engineering Ethics

Transforming Engineering Education. Special Session. Frontiers of Education Conference. Washington, D.C.19. Greenfield, B., & Jensen, G. M. (2010). Beyond a code of ethics: phenomenological ethics for everyday practice. Physiotherapy Research International, 15(2), 88-95.20. Habermas, J. (1998). Between Facts and Norms: Contributions to a Discourse Theory of Law and Democracy. Cambridge, MA: The MIT Press.21. Harris, C. E., Jr. (2013). Engineering Ethics: From Preventative Ethics to Aspirational Ethics. In Michelfelder, D.P. et al (eds). Philosophy and Engineering: Reflections on Practice, Principles, and Process. Dordrecht, Netherlands: Springer.22. Hett, A. (2004) Nanotechnology: small matter, many unknowns, Zurich, Switzerland

Conference Session

Simulations and Project-Based Learning II

Collection

2014 ASEE Annual Conference & Exposition

Authors

Matthew Turner, Purdue University (Statewide Technology); Chris Foreman, Purdue University, West Lafayette; Rajeswari Sundararajan, Purdue University, West Lafayette

Tagged Divisions

Engineering Technology

engineering education and research." International journal of electrical power & energy systems 24.10 (2002): 799-805.31. Kezunovic, M. "Teaching the smart grid fundamentals using modeling, simulation, and hands-on laboratory experiments." Power and Energy Society General Meeting, 2010 IEEE. IEEE, 2010.32. Karady, George G., et al. "Role of laboratory education in power engineering: Is the virtual laboratory feasible? I." Power Engineering Society Summer Meeting, 2000. IEEE. Vol. 3. IEEE, 2000.33. Larsson, Mats. "ObjectStab-an educational tool for power system stability studies." Power Systems, IEEE Transactions on 19.1 (2004): 56-63.34. Nasiruzzaman, A. B. M. "A student friendly toolbox for power system analysis using MATLAB

Conference Session

Design in Engineering Education Division Poster Session

Collection

2014 ASEE Annual Conference & Exposition

Authors

Stephen Ekwaro-Osire, Texas Tech University; Fisseha Meresa Alemayehu, Texas Tech University; Haileyesus Belay Endeshaw, Texas Tech University; Ricardo Cruz Lozano, Texas Tech University

Tagged Divisions

Design in Engineering Education

Paper ID #9979Elements of Teaching Design under UncertaintyProf. Stephen Ekwaro-Osire, Texas Tech University Dr. Stephen Ekwaro-Osire is the associate dean of research and graduate programs in the Whitacre Col- lege of Engineering at Texas Tech. He is also a full professor in the Department of Mechanical Engi- neering and a licensed professional engineer in the state of Texas. He most recently served as the interim chair of the Department of Industrial Engineering. Before that, he served as the director of the graduate program and graduate advisor. Prior to that, he was the director of the undergraduate program in the

Collection

2014 ASEE Zone 1 Conference

Authors

Beverly Woolf; Enid Sichel; Mark Floryan

struggling student. One of the bestsystem. However, if problems B, C, and D all depend on A’s examples is CyclePad, a fully implemented articulate virtualvalue, then system might force a student to redo his or her laboratory that uses qualitative reasoning to capturework on problems B, C, and D. This can often surprise the thermodynamic knowledge from an introductory textbookunsuspecting student, leading to frustration. [10]. It provides explanations of calculations and coaching Another issue is the human-computer interface. We know support for students through a major portion of a semester’sthat the software must be friendly and accommodating to all training in thermodynamics, including key

Collection

2014 ASEE Zone 1 Conference

Authors

Leslie Chandrakantha

statistic numbers. E3 =RANK(D3,$D$3:$D$23) Create a rank ordering invalues assuming data come from a single population. The values in column D.Figure1 shows the spreadsheet implementation of this F3 =VLOOKUP(E3,$A$3:$B$23,2) Resample the values inexample. We separate our data into three sets at random and column B. B25 =SUM(B3:B10) Compute the sum of thecalculate the value of the test statistic. This value is

Collection

2014 ERC

Authors

Mica Endsley

resilient global operations• Education and Training Air: Anti-Access, Area Denial (A2/AD) Global Vigilance, Reach and Power dependent upon contested Global Domains and Globalized Industrial Sectors Distribution A. Approved for public release; distribution is unlimited. 6 Air Challenges and Opportunities Contested Congested Constrained Military Expenditure ($B

Conference Session

NSF Grantees’ Poster Session

Collection

2014 ASEE Annual Conference & Exposition

Authors

Kaitlin Litchfield, University of Colorado, Boulder; Amy Javernick-Will, University of Colorado, Boulder; Cathy Leslie P.E., Engineers Without Borders - USA

Tagged Topics

NSF Grantees Poster Session

Tagged Divisions

Division Experimentation & Lab-Oriented Studies

largerpopulation. The steps for the research method are depicted in Figure 1. Qual. Data Quant. Data Qual. & Qualitative Survey Collection Collection Quant. Claims Hypotheses (Phases 1&2) (Phases 1&2) Findings Figure 1: General research methods strategyFirst, two phases of qualitative research methods were employed. The first phase, a collection ofopen-ended questionnaire responses, assessed (a) the educational gains of EWB-USA membersand (b) descriptions

Collection

2014 Public Policy Colloquium

Authors

Auditi Chakravarty, The College Board

Do Women Select Engineering?  79% of female engineering majors decided to pursue engineering in their junior or senior year of high school  Majority identified specific classes, curricular, or co- curricular activities as when they learned about engineering as a major or professionLehr, J.L., Finger, H., Kwang, B. (2012) When, Why, How, Who – Lessons from First Year FemaleEngineering Students at Cal Poly for Efforts to Increase Recruitment. (Annual Conference of the 8Pacific Southwest Section of the American Society for Engineering Education)Students who took an AP Exam in a particular content area were more likelyto major in a related discipline in college than students

Conference Session

Student Beliefs, Motivation and Self Efficacy

Collection

2014 ASEE Annual Conference & Exposition

Authors

Courtney June Faber, Clemson University; Sarah Jane Grigg, Clemson University; Adam Kirn, Clemson University; Justine M. Chasmar; Lisa Benson, Clemson University

Tagged Divisions

Educational Research and Methods

performance can be achieved; b) If achieved,performance will lead to desired outcomes; and c) Those outcomes will lead to satisfaction.7Research applying Expectancy x Value theory has shown that engineering students who havehigher expectations will have better academic performance 8, and those who see higher value fora task will persist longer.7 Expectancy x Value theory has been developed to examine students'motivations toward long-term goals at a degree or course level.7Expectancy was operationalized to assess how students expected to do in an introductoryengineering course. Survey items evaluating expectancy include, “I expect to do well in thisengineering course” and, “I am confident I can do an excellent job on the assignments and testsin this

Conference Session

Computer Programming and Simulation

Collection

2014 ASEE Annual Conference & Exposition

Authors

Gregorio E. Drayer, Georgia Institute of Technology; Ayanna M. Howard, Georgia Institute of Technology

Tagged Divisions

Computers in Education

with embedded systems before? If, yes, please specify the course(s), projects developed, and devices used. 6. Have you worked with open-source embedded systems? i.e. Arduino, Raspberry Pi, etc. Please specify with which devices you have worked and enumerate the projects developed.For Questions 2-4, students selected their response from a simple choice list of options. Theoptions were: (a) A lot, (b) Some, (c) A little, and (d) None. Questions 5 and 6 included fields thatoffered students the opportunity to elaborate in their responses.3.3 Post-Tutorial Survey QuestionsThe questions of the post-tutorial survey allowed for collecting feedback from the students abouttheir experience conducting the exercises in the tutorial modules

Conference Session

ETAC, ABET, & STEM Programs

Collection

2014 ASEE Annual Conference & Exposition

Authors

Nasser Alaraje, Michigan Technological University; Aleksandr Sergeyev, Michigan Technological University

Tagged Divisions

Engineering Technology

Employment Projections, "STEM Occupations", Occupational Outlook Quarterly 2007, BLS 4. Occupational Outlook Handbook www.bls.gov/oco. 5. J. Kuenzi, C.Matthew, and B. Mangan, "Science, Technology, Engineering, and Mathematics (STEM) Education Issues and Legislative Options", CRS Report for Congress, 2006. 6. Bonvillian, W. B. "Science at a crossroads", The Federation of American Societies for Experimental Biology Journal, 16, 915–921, 2002. 7. Gonzales, P., Guzmán, J. C., Partelow, L., Pahlke, E., Jocelyn, L., Kastberg, D., & Williams, T., "Highlights from the Trends in International Mathematics and Science Study (TIMSS)", Washington, DC: U.S. Department of Education, National Center for Education

Conference Session

Changing the Classroom Environment in Mathematics Education

Collection

2014 ASEE Annual Conference & Exposition

Authors

Robert Talbert, Grand Valley State University

Tagged Divisions

Mathematics

Education, 31 (1): 30-43.2. Bloom, B. S. (1956). Taxonomy of Educational Objectives: The Classification of Educational Goals: Handbook 1, Cognitive Domain. New York: David McKay.3. Pintrich, P. R. (2004). A conceptual framework for assessing motivation and self-regulated learning in college students. Educational Psychology Review, 16(4), 385–407.4. National Academy of Engineering. (2004). The engineer of 2020: Visions of engineering in the new century. Washington, D.C.: National Academies Press.5. [Reference redacted for blind review]6. [Reference redacted for blind review]7. Boelkins, M. (2013). Active Calculus. Electronic book available at http://faculty.gvsu.edu/boelkinm/Home/ Download.html .8. Hake, R.. (1998

Conference Session

Entrepreneurship & Engineering Innovation Division Opening General Session 2

Collection

2014 ASEE Annual Conference & Exposition

Authors

Qu Jin, Stanford University; Shannon Katherine Gilmartin, Stanford University; Sheri D. Sheppard, Stanford University; Helen L. Chen, Stanford University

Tagged Divisions

Entrepreneurship & Engineering Innovation

Scutt, H. I., Gilmartin, S. K., Sheppard, S. & Brunhaver, S. in ASEE Annual Conference & Exposition.10 Bird, B. Implementing Entrepreneurial Ideas: The Case for Intention. Academy of Management Review 13, 442-453 (1988).11 Lee, L., Wong, P. K., Foo, M. D. & Leung, A. Entrepreneurial Intentions: The Influence of Organizational and Individual Factors. Journal of Business Venturing 26, 124-136 (2011).12 Ajzen, I. Perceived Behavioral Control, Self-Efficacy, Locus of Control, and the Theory of Planned Behavior. Journal of Applied Social Psychology 32, 665-683 (2002).13 Krueger, N. F. & Carsrud, A. L. Entrepreneurial Intentions: Applying the Theory of Planned Behaviour. Entrepreneurship & Regional

Collection

2014 ASEE Zone 4 Conference

Authors

Sukhmander Singh

theengineering faculty especially for continuous improvement on an ongoing basis rather than ayear before evaluation time.Conclusions 1. ABET Assessment process has demonstrated accomplishment in improving the quality of education, yet some important attributes of education such as the creativity and the development of an ability to think have not been given due attention they deserve. 2. In the assessment process, regarding employer survey, there should be a way to check if the data collected is representative of all the areas across a discipline in engineering. 3. There is a need to assign a level of importance to the five Engineering Skills based attributes (a, b, c, e and k) with respect to the other professional skill

Conference Session

Spatial Ability & Visualization Training I

Collection

2014 ASEE Annual Conference & Exposition

Authors

Theodore J. Branoff, North Carolina State University; Modris Dobelis, Riga Technical University, Riga, Latvia

Tagged Divisions

Engineering Design Graphics

: Examining practicing professionals. Engineering Design Graphics Journal, 68(2), 14-26.17. Hartman, N. W. (2009). Defining expertise in the use of constraint-based CAD tools by examining practicing professionals. Engineering Design Graphics Journal, 69(1), 6-15.18. Peng, X., McGary, P., Johnson, M., Yalvac, B., & Ozturk, E. (2012). Assessing novice CAD model creation and alteration. Computer-Aided Design & Applications, PACE, (2), 9-19.19. Rynne, A., Gaughran, W. F., & Seery, N. (2010). Defining the variables that contribute to developing 3D CAD modelling expertise. In E. Norman & N. Seery (Eds.), Graphicacy and Modelling. The International Conference on Design and Technology Educational Research and Curriculum

Conference Session

Software Engineering Constituent Committee Division Technical Session 2

Collection

2014 ASEE Annual Conference & Exposition

Authors

Vignesh Subbian, University of Cincinnati; Carla C. Purdy, University of Cincinnati

Tagged Divisions

Software Engineering Constituent Committee

UnLecture V: Software Engineering Ethics and Technology/Patent WarsRetrospection:Part I: Ethics1.1. What are your personal ethical principles related to a) workplace b) software engineering. You may give specific examples.1.2. What ethical questions have arisen in your professional experience? Explain how you (or the person involved) resolved the dilemma? Relate each experience to a clause in the IEEE/ACM Software Engineering Code of Ethics (include the clause #).1.3. Pick a specific clause from one of the 8 principles in the IEEE/ACM Software Engineering Code of Ethics (include the clause #). Critique the selected clause quantitatively. Include examples, as needed. Note: Avoid using the same clause for both (1.2) and (1.3).1.4

Conference Session

NSF Grantees’ Poster Session

Collection

2014 ASEE Annual Conference & Exposition

Authors

Chad M. Laux, Purdue University, West Lafayette

Tagged Topics

NSF Grantees Poster Session

Tagged Divisions

Division Experimentation & Lab-Oriented Studies

 (Unpublished  manuscript).  1993,  Syracuse  University:   Syracuse,  New  York.  39.   Leuf,  B.  and  W.  Cunningham,  The  wiki  way:  Collaboration  and  sharing  on  the  internet.  .  2001.  40.   Auyung,  L.,  Building  a  collaborative  online  learning  community:  a  case  study  in  hong  kong.   Journal  of  Educational  Computing  Research,  2004  31(2):  p.  119-­‐136.  41.   Jonassen,  D.,  et  al.,  eds.  Learning  to  solve  problems  with  technology:  A  Constructivist  Perspective   (2nd  ed.).  2003:  Upper  Saddle  River,  New  Jersey:  Merrill.  42.   Wial,  H.  and  A.  Friedhoff,  Bearing  the  Brunt:  Manufacturing  Job  Loss  in  the  Great  Lakes  Region,   1995–2005,  in  Metro

Conference Session

Green and Sustainable Manufacturing Education

Collection

2014 ASEE Annual Conference & Exposition

Authors

Vukica M. Jovanovic, Old Dominion University; Manveer Mann; Petros J Katsioloudis, Old Dominion University; Daniel L. Dickerson, Old Dominion University

Tagged Divisions

Manufacturing

Leading Apparel Specialty Retailers’ CSR Practices as Communicated on Corporate Websites: Problems and Opportunities. Journal of Business Ethics, 2013: p. 1-24.9. Brito, M.P.d., V. Carbone, and C.M. Blanquart, Towards a sustainable fashion retail supply chain in Europe: Organisation and performance. International Journal of Production Economics, 2008. 114(2): p. 534-553.10. Nagurney, A. and M. Yu, Sustainable fashion supply chain management under oligopolistic competition and brand differentiation. International Journal of Production Economics, 2012. 135(2): p. 532-540.11. Wiengarten, F., M. Pagell, and B. Fynes, Supply chain environmental investments in dynamic industries: Comparing investment and performance

Conference Session

Use of Technology for Education

Collection

2014 ASEE Annual Conference & Exposition

Authors

Priya Manohar, Robert Morris University; Sushil Acharya, Robert Morris University; Peter Y Wu, Robert Morris University

Tagged Divisions

Manufacturing

, Frontiers in Process Modeling Symposium, New Orleans, March 9 – 13, 2008. 5. Greene, A. (1996). Decision-Support Tools Provide Competitive Edge. Managing Automation, March 1996, p.8. 6. McIlvaine, B. (1996). Planning and Scheduling Gets the Job Done. Managing Automation, August 1996, pp.24-26. 7. Wu, P.Y. (1999) Visual Capacity Modeling for Interactive Production Planning, Proceedings of the Computer Technology Solutions Conference (CTSC’99), Detroit, Michigan, published by the American Society of Manufacturing Engineers. 8. Takahashi, K. (2008) Increase Profits with a Production Planning Scheduler. Retrieved September 2013 from http://www.lean-manufacturing-japan.com/advanced-planning-scheduling. 9