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Planning and analysis of construction operations / by Daniel W. Halpin, Purdue University and Leland S. Riggs, Georgia Institute of Technology.

By: Contributor(s): Material type: TextTextPublisher: New York : Wiley, [1992]Copyright date: ©1992Description: x, 381 pages : illustrations ; 24 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 047155510X
  • 9780471555100
Subject(s): Additional physical formats: Online version:: Planning and analysis of construction operations.DDC classification:
  • 624.068 20
LOC classification:
  • TA210 .H25 1992
Contents:
1. Construction processes -- 1.1 The nature of construction operations -- 1.2 The hierarchy of construction -- 1.3 Repetitive processes in construction -- 1.4 Repetition based on advanced construction technology -- 1.5 Cable-supported forming systems -- 1.6 Modeling construction processes -- 1.7 Deterministic models -- 1.8 Line-of-balance models -- 1.9 Queueing models -- 1.10 Simulation models -- 1.11 Model application -- 2. Line-of-balance models -- 2.1 Linear construction sites -- 2.2 Production curves -- 2.3 Project control using production curves -- 2.4 Line-of-balance concepts -- 2.5 LOB applied to construction -- 2.6 A high-rise building example -- 2.7 Decision making using LOB -- 3. Queueing systems -- 3.1 General concepts -- 3.2 System states -- 3.3 Markovian models -- 3.4 Finite population queueing models -- 3.5 Multiserver finite population models -- 3.6 Finite models with storage -- 3.7 Field application -- 3.8 Shortcomings of the queueing model problems -- 4. Method productivity delay method -- 4.1 General concepts -- 4.2 Types of delay -- 4.3 Data collection -- 4.4 Data processing -- 4.5 Model structuring -- 4.6 Method indicators -- 4.7 Using the method results for improvement -- 4.8 Application of mpdm -- 4.9 Concrete placement with a crane and bucket -- 4.10 Problems encountered in crane-bucket application -- 4.11 Placement of concrete using a pump -- 4.12 Tunneling by hand labor -- 4.13 Conclusions -- 5. Process modeling concepts -- 5.1. A modeling rationale for construction operations -- 5.2. Basic modeling elements -- 5.3. The NORMAL Element -- 5.4 The COMBI element -- 5.5 The QUEUE node -- 5.6 The COUNTER -- 5.7 The arrow or directed arc -- 5.8 Dynamic resource entity flows -- 6. Building process models -- 6.1 Modeling the structure of construction operations -- 6.2 The modeling procedure -- 6.3 Procedures for defining flow units -- 6.4 Modeling flow unit cycles -- 6.5 Basic resource entity flow patterns -- 6.6 The slave entity pattern -- 6.7 The butterfly pattern -- 6.8 Cyclic structures of work tasks -- 6.9 Noncyclic path sequence of tasks -- 7. System definition -- 7.1 Network structure -- 7.2 Flow unit initialization and control -- 7.3 CYCLONE functions -- 8. Extended modeling concepts -- 8.1 Modified earthmoving model -- 8.2 Concrete pumping model -- 8.3 Column pour model -- 8.4 Material hoist model -- 8.5 Alternative material hoist model -- 8.6 Dayshift model -- 9. Modeling work task durations -- 9.1 General concepts -- 9.2 Deterministic work task durations -- 9.3 Random work task durations -- 9.4 Random duration distributions -- 9.5 Monte carlo simulation -- 9.6 Random variates from continuous functions -- 10. Simulation -- 10.1 Discrete system simulation -- 10.2 Discrete simulation methods -- 10.3 The next-event simulation algorithm -- 10.4 The masonry model -- 10.5 Hand-simulation statistics -- 10.6 Hand-simulation algorithm with statistics -- 11. Typical repetitive processes -- 11.1 Introduction -- 11.2 Concrete pouring using a crane and bucket -- 11.3 An asphalt paving model -- 11.4 A tunneling operation -- 11.5 Crew unit flow patterns -- 12. Building construction models -- 12.1 Introduction -- 12.2 A simple concreting model -- 12.3 A building construction example -- 12.4 Peachtree plaza example -- 12.5 The construction process -- 12.6 Development of the CYCLONE model -- 12.7 Definition of the floor cycle -- 12.8 model input and response -- 13. Heavy construction models -- 13.1. Repetitive nature of engineered construction -- 13.2. Sewer-line construction model -- 13.3 A precasting process -- 13.4 Precast process analysis -- 13.5 Segmented construction of an elevated structure -- 13.6 The matching-casting process -- 13.7 Conclusion -- 14. Sensitivity analysis -- 14.1 The manager's perspective -- 14.2 System sensitivity -- 14.3 Precast plant system response -- 14.4 Cost analysis -- 14.5 High-rise case study -- 15 Noncyclic networks -- 15.1 Schedule networks -- 15.2 CYCLONE-CPM network -- 15.3 Example project -- 15.4 Decision tree network -- 15.5 Design network -- Appendix A: Exponential assumptions and infinite queues -- A.1: Exponentially distributed arrival and service rates -- A.2: Infinite population queuing models -- Appendix B: Queuing nomographs -- Appendix C: MicroCYCLONE simulation system.
Summary: "Focuses on the use of simulation techniques to model and evaluate repetitive construction operations. Based on the CYCLONE and MICROCYCLONE software developed by the authors and used at 38 universities nationwide, it uses a variety of examples from all areas of construction to demonstrate the application of simulation to analyze construction operations."--Publisher's website.
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Holdings
Item type Current library Call number Copy number Status Date due Barcode
Book City Campus City Campus Main Collection 624.068 HAL (Browse shelf(Opens below)) 1 Available A479466B

"A Wiley Interscience publication.".

"Based on and is an extension of the original text entitled Design of construction and process operations by Daniel W. Halpin and Ronald W. Woodhead published in 1976"--Preface.

Includes bibliographical references (pages 370-378) and index.

1. Construction processes -- 1.1 The nature of construction operations -- 1.2 The hierarchy of construction -- 1.3 Repetitive processes in construction -- 1.4 Repetition based on advanced construction technology -- 1.5 Cable-supported forming systems -- 1.6 Modeling construction processes -- 1.7 Deterministic models -- 1.8 Line-of-balance models -- 1.9 Queueing models -- 1.10 Simulation models -- 1.11 Model application -- 2. Line-of-balance models -- 2.1 Linear construction sites -- 2.2 Production curves -- 2.3 Project control using production curves -- 2.4 Line-of-balance concepts -- 2.5 LOB applied to construction -- 2.6 A high-rise building example -- 2.7 Decision making using LOB -- 3. Queueing systems -- 3.1 General concepts -- 3.2 System states -- 3.3 Markovian models -- 3.4 Finite population queueing models -- 3.5 Multiserver finite population models -- 3.6 Finite models with storage -- 3.7 Field application -- 3.8 Shortcomings of the queueing model problems -- 4. Method productivity delay method -- 4.1 General concepts -- 4.2 Types of delay -- 4.3 Data collection -- 4.4 Data processing -- 4.5 Model structuring -- 4.6 Method indicators -- 4.7 Using the method results for improvement -- 4.8 Application of mpdm -- 4.9 Concrete placement with a crane and bucket -- 4.10 Problems encountered in crane-bucket application -- 4.11 Placement of concrete using a pump -- 4.12 Tunneling by hand labor -- 4.13 Conclusions -- 5. Process modeling concepts -- 5.1. A modeling rationale for construction operations -- 5.2. Basic modeling elements -- 5.3. The NORMAL Element -- 5.4 The COMBI element -- 5.5 The QUEUE node -- 5.6 The COUNTER -- 5.7 The arrow or directed arc -- 5.8 Dynamic resource entity flows -- 6. Building process models -- 6.1 Modeling the structure of construction operations -- 6.2 The modeling procedure -- 6.3 Procedures for defining flow units -- 6.4 Modeling flow unit cycles -- 6.5 Basic resource entity flow patterns -- 6.6 The slave entity pattern -- 6.7 The butterfly pattern -- 6.8 Cyclic structures of work tasks -- 6.9 Noncyclic path sequence of tasks -- 7. System definition -- 7.1 Network structure -- 7.2 Flow unit initialization and control -- 7.3 CYCLONE functions -- 8. Extended modeling concepts -- 8.1 Modified earthmoving model -- 8.2 Concrete pumping model -- 8.3 Column pour model -- 8.4 Material hoist model -- 8.5 Alternative material hoist model -- 8.6 Dayshift model -- 9. Modeling work task durations -- 9.1 General concepts -- 9.2 Deterministic work task durations -- 9.3 Random work task durations -- 9.4 Random duration distributions -- 9.5 Monte carlo simulation -- 9.6 Random variates from continuous functions -- 10. Simulation -- 10.1 Discrete system simulation -- 10.2 Discrete simulation methods -- 10.3 The next-event simulation algorithm -- 10.4 The masonry model -- 10.5 Hand-simulation statistics -- 10.6 Hand-simulation algorithm with statistics -- 11. Typical repetitive processes -- 11.1 Introduction -- 11.2 Concrete pouring using a crane and bucket -- 11.3 An asphalt paving model -- 11.4 A tunneling operation -- 11.5 Crew unit flow patterns -- 12. Building construction models -- 12.1 Introduction -- 12.2 A simple concreting model -- 12.3 A building construction example -- 12.4 Peachtree plaza example -- 12.5 The construction process -- 12.6 Development of the CYCLONE model -- 12.7 Definition of the floor cycle -- 12.8 model input and response -- 13. Heavy construction models -- 13.1. Repetitive nature of engineered construction -- 13.2. Sewer-line construction model -- 13.3 A precasting process -- 13.4 Precast process analysis -- 13.5 Segmented construction of an elevated structure -- 13.6 The matching-casting process -- 13.7 Conclusion -- 14. Sensitivity analysis -- 14.1 The manager's perspective -- 14.2 System sensitivity -- 14.3 Precast plant system response -- 14.4 Cost analysis -- 14.5 High-rise case study -- 15 Noncyclic networks -- 15.1 Schedule networks -- 15.2 CYCLONE-CPM network -- 15.3 Example project -- 15.4 Decision tree network -- 15.5 Design network -- Appendix A: Exponential assumptions and infinite queues -- A.1: Exponentially distributed arrival and service rates -- A.2: Infinite population queuing models -- Appendix B: Queuing nomographs -- Appendix C: MicroCYCLONE simulation system.

"Focuses on the use of simulation techniques to model and evaluate repetitive construction operations. Based on the CYCLONE and MICROCYCLONE software developed by the authors and used at 38 universities nationwide, it uses a variety of examples from all areas of construction to demonstrate the application of simulation to analyze construction operations."--Publisher's website.

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