6.3 Suspended Ceiling Design Process - Bilkent University

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REFERENCES Akın, Ö. (1986). Psychology of Architectural Design. London:Pion. Amor, R., Augenbroe, G., Hosking, J., Rombouts, W., & Grundy, J. (1995). Directions in Modeling Environments. Automation in Construction, 4, 173- 187. Anumba, C. J. & Duke, A. K. (2000). Telepresence in Concurrent Lifecycle Design and Construction. Journal of Artificial Intelligence in Engineering - Special Issue on Collaborative and Concurrent Engineering, 14 (3), 221-232. Arditi, D. and Günaydın, H. M. (1998). Factors that Affect Process Quality in the Life Cycle of Building Projects. Journal of Construction Engineering and Management, 124 (3), 194-203. Atkin, R. H. (1974). Mathematical Structure in Human Affairs. New York: Crane, Russak and Company. Atsuko, K., Nakahama, K., Hamada, S., Yamaguchi, S., & Sasada, T. (2001). Collaborative Design System with Hypermedium and Networking. Automation in Construction, 10, 309-318. Austin, S., Baldwin, A., Li, B., & Waskett, P. (1999). Analytical Design Planning Technique: A Model of the Detailed Design Process. Design Studies, 20 (3), 279-296. Austin, S., Baldwin, A., Li, B., & Waskett, P. (2000). Analytical Design Planning Technique (ADePT): A Dependency Structure Matrix Tool to Schedule the Building Design Process. Construction Management and Economics, 18, 173-182. Austin, S., Baldwin, A., & Newton, A. (1994). Manipulating the Flow of Design Information to Improve the Programming of Building Design. Construction Management and Economics, 12, 445-455. Austin, S., Newton, A., Steele, J., & Waskett, P. (2002). Modeling and Managing Project Complexity. International Journal of Project Management, 20, 191- 198. Austin, S., Steele, J., Macmillan, S., Kirby, P., & Spence, R. (2001). Mapping the Conceptual Design Activity of Interdisciplinary Teams. Design Studies, 22 (3), 211-232. Axiomatic Design Inc. (2003). Axiomatic Design Company Web Page. Retrieved June 2, 2003, from http://www.axiomaticdesign.com 191
Baldwin, A. N., Austin, S., Hassan, T. M., & Thorpe, A. (1999). Modelling Information Flow during the Conceptual and Schematic Stages of Building Design. Construction Management and Economics, 17, 155-167. Baldwin, A. N., Austin, S., Hassan, T. M., & Thorpe, A. (1998). Planning Building Design by Simulating Information Flow. Automation in Construction, 8, 149-163. Ballard, G. (2000). Positive Vs. Negative Iteration in Design. International Group for Lean Construction, Eighth Annual Conference. Retrieved June 2, 2002, from http://www.sussex.ac.uk/spru/imichair/iglc8/05.pdf Baykan, C., & Pultar, M. (1995). The Structure of Space-Activity Relations in Houses. Unpublished Research Report, Bilkent University, Turkey. Björk, B. C. (1994). A Conceptual Model of Spaces, Space Boundaries, and Enclosing Structures. Automation in Construction, 3, 193-214. Black, T. A., Fine, C. F., & Sachs, E. M. (1990). A Method for Systems Design Using Precedence Relationships: An Application to Automotive Break Systems. Working Paper, MIT School of Management, Cambridge, MA, 3208. Booch, G., Rumbaugh, J., & Jacobson, I. (1998). The Unified Modeling Language User Guide. Reading, MA: Addison-Wesley. Bovill, C. (1991). Architectural Design: Integration of Structural and Environmental Systems. New York: Van Nostrand Reinhold. Broadbent, G. H. (1988). Design in Architecture. New York: Wiley. Browning, T. R. (1998). Modeling and Analyzing Cost, Schedule, and Performance in Complex System Product Development. Ph.D. Dissertation, Technology, Management, and Policy Program. Massachusetts Institute of Technology. Retrieved May 14, 2002, from http://theses.mit.edu Browning, T. R. (2001). Applying the Design Structure Matrix to System Decomposition and Integration Problems: A Review and New Directions. IEEE Transactions on Engineering Management, 48 (3), 292-306. Browning, T. R. (2002). Process Integration Using the Design Structure Matrix. Systems Engineering, 5 (3), 180-193. Caneparo, L. (2001). Shared Virtual Reality for Design and Management: The Porta Susa Project. Automation in Construction, 10, 217-228. 192
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
Page 155 and 156: 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: developers can use the method to in
Page 209 and 210: Denker, S., Steward, D. and Brownin
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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6.3 Suspended Ceiling Design Process - Bilkent University

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