Estimation of Speed in Design Teams: Implementation of Agile Tools for Retail & Construction Management
Keywords:
Agile, Retail, Project Management, Construction Management, Architecture TeamsAbstract
Duplication of design teams in construction projects in the retail sector generates a constant feedback between the client’s team and the local engineering team, appearing down times associated with the validation of the deliverables by both teams. Any delay in a delivery, conditions the planned pace of work of production-validation-production. In order not to jeopardize the opening date, production times are adjusted on the fly, which motivates the search of planning tools less rigid than the traditional ones. Adjustment of deadlines involves reducing the quality of the deliverables, given the need to produce with the same resources in less time. As a result, the design deficiencies cause an increase of change orders in later phases. In this article, we propose the implementation of agile metrics to measure the speed of production of the design team and solve the identified deficiencies.
References
Department of Defense. (2005). Department of Defense Handbook. Work Breakdown Structures for Defense Material Items. United States of America.
Dressler, J. (1980). Construction Mangement in West Germany. Journal of Construction Division, , 106(4), 477-487.
G.Ruiz-Espiga, A., Soler S., M., & Humero M., A. (2018). Incidence in Licensing Management Activities in Building Project Life Cycle: a Strategic Matter of Knowledge. Journal of Modern Project Management, 6(1).
Gantt, H. (1974). Work, Wages and Profit. . Easton, Pennsylvania: Hive Publishing Company.
Greene, C. (1965). Communication with automata. Technical Report RADC-TR-65-377. Translation of thesis "Kommunikation mit automaten". Rome Air Development Center, Griffiss Air Force Base, 1965.
Hanrahan, R. (1995). The idef process modelling methodology. Crosstalk: The Journal of Defense Software Engineering, 8(6), 19-23.
KBSI. (1994). Information integration for concurrent engineering(IICE): IDEF5 method report. Technical report, Knowledge Based Systems, Inc. Technical report, Knowledge Based Systems, Inc.
Kniberg, H., & Skarin, M. (2009). Kanban and Scrum, making the most of both. InfoQ books.
Marca, D., & C.L., M. (2005). IDEFO and SADT: A Modeller's Guide. . OpenProcess, Inc.
Mc Daniel, N. (2001). Scheduling Guide for Program Managers. Defense Systems Management College Press.
Nonaka, I., & Takeuchi, I. (2004). Hitotsubashi on Knowledge Management. Singapore: John Wiley.
Notkin, D., & Grisworld, W. (1988). Extension and software development. En I. C. Press (Ed.), Proceedings of the 10th International Conference on Software Engineering., 2176, págs. 274-283. doi:10.1109/ICSE.1988.93708
Ohno, T. (1988). The Toyota Production System: Beyond Large-scale Production. London: Productivity Press.
Petit, Y. (2012). Project portfolios in dynamic environments: Organizing for uncertainty. Int. J. Proj. Manag., 30, 539–553. doi:10.1016/j.ijproman.2011.11.007
Petri, C. (1962). Kommunikation mit automaten. PhD thesis, Schriften des IIM, Heft 2, Institut für Instrumentelle Mathematik, an der Universität Bonn.
Poppendieck, M., & Poppendieck, T. (2003). Lean Software Development: An Agile Toolkit for Software Development Managers. Crawfordsville, Indiana: Addison Wesley.
Ruiz Bertol, F. (2011). Técnicas Conceptuales en la Gestión de Proyectos Software. Universidad del País Vasco.
Schwaber, K. (1997). Scrum Development Process. OOPSLA Business Object Design and Implementation Workshop. Springer London, 117-134. doi:10.1007/978-1-4471-0947-1_11
Scrum Manager. (2017). Scrum Manager Professional Community Core I: Scrum Master. Versión 2.6. Zaragoza: Lubaris Info 4 Media.
Serrador, P., & Pinto, J. (2015). Does Agile work? – A quantitative analysis of agile Project success. Int. J. Proj. Manag.(33), 1040–1051. doi:10.1016/j.ijproman.2015.01.006
Slagle, E. (1956). Prestige and progress report. The Journal of Industrial Engineering, 7(1).
Terlizzi, M., Albertin, A., & Cesar de Moraes, H. O. (2016.). Barriers to the use of an IT Project Management Methodology in a large financial institution. Int. J. Proj. Manag., 34, 467–479. doi:10.1016/j.ijproman.2015.12.005
Thayer, R. (1997). Software Engineering Project Management (2 ed.). IEEE Computer Society.
Downloads
Published
Issue
Section
License
Copyright (c) 2022 Hugo Sanchez Vicente, Manuel Soler Severino, Alfonso García Santos

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.