6.3 Suspended Ceiling Design Process - Bilkent University

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Cesiel, D. S. (1993). A Structured Approach to Calibration Development for Automotive Diagnostic Systems. M.Sc. Dissertation, Department of Electrical Engineering. Massachusetts Institute of Technology. Retrieved April 17, 2003, from http://theses.mit.edu Charette, R. P., & Marshall, H. E. (1999). UNIFORMAT II Elemental Classification for Building Specifications, Cost Estimating, and Cost Analysis. Gaithersburg, MD: U.S. National Institute of Standards and Technology. Chen, C., Ling, S. F., & Chen, W. (2003). Project Scheduling for Collaborative Product Development Using DSM. International Journal of Project Management, 4, 291-299. Chinowsky, P. S., & Robinson, J. (1995). Facilitating Interdisciplinary Design Education through Case Histories. Retrieved June 2, 2002, from http://fie.engrng.pitt.edu/fie95/4a3/4a32/4a32.htm Clarkson, P. J., & Hamilton, J. R. (2000). “Signposting”, A Parameter-driven Taskbased Model of the Design Process. Research in Engineering Design, 12, 18-38. Cronemyr, P., Ronnback, A. O., & Eppinger, S. D. (2001). A Decision Support Tool for Predicting the Impact of Development Process Improvements. Journal of Engineering Design, 12 (3), 177-199. Cross, N. A. (1989). Engineering Design Methods. Chichester, West Sussex: John Wiley and Sons. Cross, N. A. (1993). History of Design Methodology. In De Vries, M. J., Cross, N., & Grant, D. P. (Eds.) Design Methodology and Relationships with Science. London: Kluwer. Danilovic, M., & Börjesson, H. (2001). Participatory Dependence Structure Matrix Approach. Proceedings of the Third Dependence Structure Matrix (DSM) International Workshop, October 29-30, Massachusetts Institute of Technology (MIT), Massachusetts, Boston, Cambridge, USA. Retrieved October 7, 2002, from http://extra.ivf.se/multiplan/dokument/Participatory_DSM_approach_FINAL .pdf De Marco, T. (1979). Structured Analysis and System Specification. Englewood Cliffs, NJ.: Prentice Hall. Decision Sciences Inc. (2002). Decisions Sciences Company Web Page. Retrieved November 29, 2002, from http://www.dsifl.com/webdsm.asp Demirkan, H. (1998). Integration of Reasoning Systems in Architectural Modeling Activities. Automation in Construction, 7, 229-236. 193
Denker, S., Steward, D. and Browning, T. (1999). Planning Concurrency and Managing Iteration in Projects. Center for Quality of Management Journal, 8 (2), 55-62. Dias, W. P. S. (1996). Multidisciplinary Product Modeling of Buildings. Journal of Computing in Civil Engineering, 10 (1), 78-86. Dong, Q. (1999). Representing Information Flow and Knowledge Management in Design Using the Design Structure Matrix. M.Sc. Dissertation, Department of Mechanical Engineering. Massachusetts Institute of Technology. Retrieved September 7, 2002, from http://theses.mit.edu Eastman, C. (1999). Building Product Models: Computer Environments Supporting Design and Construction. Boca Raton: CRC Press. Elmasri, R., & Navathe, S. B. (1994). Fundamentals of Database Systems. Redwood City, California: Benjamin/Cummings. English, K., Bloebaum, C. L., & Miller, E. (2001). Development of Multiple Cycle Coupling Suspension in the Optimization of Complex Systems. Structural and Multidisciplinary Optimization, 22 (4), 268-283. Eppinger, S. D., Whitney, D. E., Smith, R. P., & Gebala, D. A. (1994). A Modelbased Method for Organizing Tasks in Product Development. Research in Engineering Design, 6, 1-13. Eppinger, S. D. (2001). Innovation at the Speed of Information. Harvard Business Review, 79, 149-158. Formoso, C. T., Tzotzopoulos, P., Jobim, M. S. S., & Liedtke, R. (1998). Developing a Protocol for Managing the Design Process in the Building Industry. International Group for Lean Construction, Sixth Annual Conference. Retrieved April 24, 2002, from: http://www.ce.berkeley.edu/~tommelein/IGLC- 6/FormosoTzotzopoulosJobimLeidtke.pdf Fruchter, R., Clayton, M. J., Krawinkler, H., Kunz, J., & Teicholz, P. (1996). Interdisciplinary Communication Medium for Collaborative Conceptual Building Design. Advances in Engineering Software, 25, 89-101. Galle, P. (1995). Towards Integrated, “Intelligent”, and Compliant Computer Modeling of Buildings. Automation in Construction, 4, 189-211. Hamer, A. P., Nihtila, J., & Rehn, J. (1999). Document Viewpoint on One-of-akind Delivery Process. International Journal of Product Research, 37, 1319-1336. 194
Page 1 and 2:
REPRESENTING INFORMATION FLOW IN BU
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ABSTRACT REPRESENTING INFORMATION F
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ACKNOWLEDGEMENTS Foremost, I would
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2.2.3.4 Types of Information Models
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5.3.3.1 Classification According to
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8.3 Suggestions for Further Researc
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LIST OF FIGURES Figure 1.1: A Gener
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Figure 6.13: Initial Parameter-base
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in many building projects. This is
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process modeling method for buildin
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educational approaches, studies of
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2. COLLABORATIVE DESIGN RESEARCH IN
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graphical interface to the Internet
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member are not agreed to by other m
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There is also considerable interest
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models are interdependent and they
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5. Incomplete, uncertain, and untim
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2.2.3.3 Advantages of the Informati
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process development effort is highl
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emerge at the early 1970s, moved aw
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the GDCPP. From the point of view o
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3.2.1 Network Models Network models
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interpreted as resources. The idea
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(1999) applied these concepts to a
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Input Figure 3.5: A Generic IDEF0 D
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world with an independent existence
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Figure 3.7: A Generic UML Activity
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side indicating the scheduled start
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4. DESIGN STRUCTURE MATRIX METHOD T
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need to be made. No optimal method
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aim is to move the above diagonal m
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is built, it can serve as a platfor
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4.2.1 Component-based DSM System en
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epresenting them as connections bet
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Kusiak, 1996). While the DSM can be
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since high-level processes sometime
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(a) (b) Figure 4.6: A Parameter-bas
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2. Importance ratings: A scale can
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Besides adding extra attributes to
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versions of the model a binary info
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problem without the framework model
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select a task for decomposition and
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developed such as interaction chart
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contracts. In current practice for
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completed. The former is called une
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Browning, 1998) found that addition
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A parameter-based DSM may provide i
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5.2.2 Process Integration The situa
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Figure 5.1: Two Coupled Activities
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Although representing parameter val
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5.3.1 Assumptions and Scope of the
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In order to develop the IFC specifi
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object must support a variety of AE
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Figure 5.6: Four different Views of
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countries which have a classificati
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process integration. Therefore, in
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technical terms. Furthermore, some
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the DSM and to denote the performan
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ased DSM. Since such DSMs are low-l
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modeling of information management
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Architect Design Engineers User Int
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Figure 5.12: A Workflow Proposal fo
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study, which analyzes elevator desi
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parameters were defined according t
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plenum, hangers, and wall angles. T
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suspension system. Fittings support
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constraints to the integrated syste
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leaded by a chief engineer. Design
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P8 P8 P8 P8 P8 P8 P8 P8 180 90 180
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Infrastructure design: 2 people At
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6.4.4.1 The Design Configuration Th
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parameter relationships. However, o
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Study Feasibility A1 Select Suspend
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Figure 6.7: An IDEF0 Model of Suspe
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Figure 6.9: An IDEF0 Model of Suspe
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Figure 6.10: An Example System Desc
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Performance Requirements System Lev
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Performance Requirements System Lev
Page 157 and 158: Thermal Performance Lighting Perfor
Page 159 and 160: 6.5 Results and Discussion 6.5.1 Ob
Page 161 and 162: plenum. Several different schemes m
Page 163 and 164: 6.5.3 A Comparison between the Asse
Page 165 and 166: performance requirements drive desi
Page 167 and 168: finding supports the comments made
Page 169 and 170: applied by an electric driving mach
Page 171 and 172: surfaces. One rail is installed on
Page 173 and 174: Elevator design process begins with
Page 175 and 176: Having decided the car, hoistway, a
Page 177 and 178: 4. It is assumed that there is no n
Page 179 and 180: 2. Occasionally, different design p
Page 181 and 182: Figure 7.2: The Context Diagram of
Page 183 and 184: Figure 7.4: An IDEF0 Model of Eleva
Page 185 and 186: Figure 7.6: An IDEF0 Model of Detai
Page 187 and 188: System Level Parameters Analyze Ele
Page 189 and 190: Building Type Building Style Tenanc
Page 191 and 192: time, round trip time, and number o
Page 193 and 194: there are large cycles. This sugges
Page 195 and 196: such formulas than suspended ceilin
Page 197 and 198: Furthermore, it was observed in the
Page 199 and 200: 3. In order to deal with large DSMs
Page 201 and 202: observed in the case studies includ
Page 203 and 204: while an aircraft or ship may have
Page 205 and 206: developers can use the method to in
Page 207: Baldwin, A. N., Austin, S., Hassan,
Page 211 and 212: Karhu, V. (2001). A Model based App
Page 213 and 214: Problematics. (2003). Problematics
Page 215 and 216: Suh, N. P. (1998). Axiomatic Design
Page 217 and 218: January 20, 2003, from http://www.c
Page 219 and 220: A.1 Classification of Building Part
Page 221 and 222: • Time (aesthetic service life)
Page 223 and 224: B.1 Suspended Ceiling Design Parame
Page 225 and 226: Panel Acoustics NRC: Noise Reductio
Page 227 and 228: B.2 Elevator Design Parameter Defin
Page 229 and 230: Floor Area: The areas of the floors
Page 231 and 232: UpPeak Interval: The interval betwe
Page 233 and 234: C.1 A Computer Program For Building
Page 235 and 236: Figure 3. Unpartitioned Matrix The
Page 237 and 238: 'fill in matrix titles For counter
Page 239 and 240: 4. Open the sheet “partitioned DS
Page 241 and 242: End With For i = 1 To n Cells(i + 2
Page 243 and 244: End If Next j total_row(i) = k 'ass
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