Nonlinear Project Management: Agile, Scrum and Kanban for the Construction Industry
Sakikhales, Mohammad ORCID: https://orcid.org/0000-0003-0019-2084 (2021) Nonlinear Project Management: Agile, Scrum and Kanban for the Construction Industry. In: Bolpagni, Marzia, Gavina, Rui and Ribeiro, Diogo, (eds.) Industry 4.0 for the Built Environment. Springer, pp. 227-246. ISSN 2522-560X (doi:10.1007/978-3-030-82430-3_10)
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Modern workflows have shifted from linear processes to those that allow more feedbacks across the project timescale. The conventional project control methods such as work breakdown structure and critical path method are very common in the construction industry. However, these linear processes do not allow for iterations and are being criticised for being inflexible, not being completely suitable for managing complex projects and not having the capability to take into account the cyclical process mainly due to their one-way progression manner. Nevertheless, the adoption of building information modelling (BIM) has provided the necessary infrastructure for adopting new iterative workflows including Agile management in general and its specific methods such as Scrum and Kanban. This chapter will explore the suitability of nonlinear project management methods for construction projects and how digital construction can play an important role in implementing them. It will then argue how design and construction firms can benefit from implanting Agile management to transform the way buildings are being designed and constructed by demanding feedback from a wide range of backgrounds more frequently. Finally, it will discuss the industry needs to further explore disruptive methods, examine and test them to unlock the potential benefits of implementing them.
Item Type: | Book Section |
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Uncontrolled Keywords: | Agile management Scrum Kanban Project planning Nonlinear project management |
Subjects: | T Technology > TA Engineering (General). Civil engineering (General) |
Faculty / School / Research Centre / Research Group: | Faculty of Engineering & Science |
Last Modified: | 06 Apr 2023 08:16 |
URI: | http://gala.gre.ac.uk/id/eprint/35448 |
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