Please wait a minute...
 首页  期刊列表 期刊订阅 开放获取 关于我们
English
在线预览  |  当期目录  |  过刊浏览  |  热点文章  |  下载排行
Frontiers of Engineering Management    2021, Vol. 8 Issue (3) : 442-455     https://doi.org/10.1007/s42524-020-0108-2
RESEARCH ARTICLE
Requirements in performance measurement systems of construction projects from the lean production perspective
Karina B. BARTH(), Carlos T. FORMOSO
Building Innovation Research Unit (NORIE), Universidade Federal do Rio Grande do Sul, Porto Alegre 90040-060, Brazil
全文: PDF(1355 KB)   HTML
导出: BibTeX | EndNote | Reference Manager | ProCite | RefWorks
Abstract

Performance measurement (PM) generates useful data for process control, facilitates communication between different sectors, and helps to align efforts on the most important aspects of the business. Thus, PM plays a key role in the management of projects and organizations. PM is also important in the implementation of lean production principles and methods, such as reducing the share of nonvalue-adding activities, increasing process transparency, building continuous improvement into the process, and benchmarking. Moreover, the adoption of the lean production philosophy requires changes in PM. Despite its importance, limited studies have been conducted on the use of PM systems for assessing the impact of lean production programs in construction projects. In addition, studies on how lean companies (or projects) use performance measurement and to what extent the indicators adopted reflect the result of actions that have been undertaken are limited. This study proposes a set of requirements in PM systems of construction projects from the perspective of lean production and a taxonomy of performance metrics for lean production systems. Five empirical studies have been carried out on construction companies from South America involved in the implementation of lean production systems. The scope of this investigation is limited to the construction projects as production systems rather than PM at the level of construction organizations.

Keywords performance measurement      lean construction      production management      continuous improvement      metrics     
最新录用日期:    在线预览日期:    发布日期: 2021-07-13
服务
推荐给朋友
免费邮件订阅
RSS订阅
作者相关文章
Karina B. BARTH
Carlos T. FORMOSO
引用本文:   
Karina B. BARTH,Carlos T. FORMOSO. Requirements in performance measurement systems of construction projects from the lean production perspective[J]. Front. Eng, 2021, 8(3): 442-455.
网址:  
https://journal.hep.com.cn/fem/EN/10.1007/s42524-020-0108-2     OR     https://journal.hep.com.cn/fem/EN/Y2021/V8/I3/442
Traditional construction project management Lean construction project management
① In process control, performance is measured at the output (or input), and deviations to standards must be detected for correcting processes (Koskela and Howell, 2002). This assumption encourages the minimization of variance rather than continuous improvement (Bourne et al., 2000). ① A PM system should provide not only the necessary data for process control but also information that can be used as a reference for process improvement and learning (Pavlov and Bourne, 2011). This premise indicates that the root causes of deviations must be identified to ensure that problems can be eliminated (Koskela and Howell, 2002).
② Performance measures can be used to align efforts and resources to the most important aspects (or strategic objectives) of the business (Lantelme and Formoso, 2000). ② Apart from strategic goals, measures should also focus on lean goals, such as elimination of waste, reduction of variability, and improvement of value generation (Koskela, 1992).
③ PM systems must be used to disseminate challenging and feasible goals in the company (Hall et al., 1991). ③ In addition to the dissemination of goals, PM should point out shortcomings, which can be regarded as sources of creative tensions for continuous improvement (Spear and Bowen, 1999).
④ Effective information flows must be used to provide communication between different managerial levels and departments (Hall et al., 1991). ④ Apart from being disseminated through information flows, performance measures should be made available in information fields (i.e., sets of visual devices), in which invisible process attributes are made visible to several people (Koskela, 1992).
Tab.1  Role of PM systems
Karlsson and Åhlström (1996) Sánchez and Pérez (2004)
Category Example of metric Category Example of metric
Elimination of waste Value of rework in relation to sales Elimination of waste Inventory rotation
Continuous improvement Number of suggestions per employee and year Continuous improvement Percentage of employees’ suggestions implemented by the company
Zero defects Workers take out and adjust defective parts
Just-in-time Production run time between setups Just-in-time delivery Percentage of items delivered just-in-time by suppliers
-Pull instead of push Number of process stages that are pulled in relation to the total number of stages
Multifunctional teams Percentage of employees working in teams Multifunctional teams Percentage of employees working in teams
-Decentralized responsibility Number of functional areas under the responsibility of teams
-Integrated functions Number of different indirect tasks performed by teams
-Vertical information systems Number of areas contained in the information given to employees -Flexible information systems Number of monthly meetings involving top managers and employees
Supply chain integration Average length contract with key suppliers
Tab.2  Categories and examples of performance metrics proposed for lean production systems
Company A Company B Company C Company D Company E
Company size Large Large Small Large Medium
Main activities Construction and real estate development for middle- and upper middle-class residential markets Services and integrated solutions in the construction of industrial buildings and offshore platforms Construction and real estate development for middle- and upper middle-class residential markets Construction and real estate development for lower-, middle-, and upper middle-class residential markets Development and construction buildings for private clients (mostly industrial and healthcare projects)
Main characteristics Considered as a benchmark in lean construction, started lean implementation in the 1990s Multinational company, started lean implementation in complex projects (e.g., offshore) 7 years ago Family-owned company, started lean implementation less than 4 years ago Started lean implementation less than 3 years ago Worked mostly as a contractor in a wide range of projects, started lean implementation 15 years ago
Main lean practices adopted Last Planner
Kanban
5S
Prototyping
Visual management
Standardized work
Last Planner
Kanban
Multifunctional teams
Visual management
Standardized work
Value stream mapping
Last Planner
Visual management
Task completion control
Takt-time planning
Last Planner
Visual management
5S
Task completion control
Takt-time planning
Last Planner
Production system design
Visual management
Takt-time planning
Prototyping
Tab.3  Description of the five companies
Requirements Company A Company B Company C Company D Company E
Direct alignment with high goals P T P P P
Combine leading and lagging indicators T T P T P
Provide meaningful and timely feedback to users T T T T T
Promote improvement and learning T T P T P
Create local control systems P P N N P
Be flexible and updated from time to time T P P N N
Tab.4  Adoption of requirements in the design of PM systems
Indicators Company A Company B Company C Company D Company E
Last Planner metrics ´ ´ ´ ´ ´
Effectiveness of Last Planner implementation ´ ´ ´
Daily OTP (on-time performance) ´
Task diminishment and WIP control ´ ´
Number of Kaizen ideas ´
Gemba walk wastes ´ ´
Control of batch completion rhythm ´ ´ ´ ´
Batch adherence control ´ ´
Cycle time ´ ´
Integrated safety and production control ´ ´
Tab.5  Indicators used by the five companies to support the implementation of lean practices
Fig.1  Example of a tool used for controlling unfinished work and WIP.
Fig.2  Example of a heatmap for controlling WIP.
Fig.3  Example of a chart monitoring the rhythm of different processes.
Fig.4  Example of a chart monitoring batch adherence.
Core principle or concept Performance measures
Continuous improvement and collaboration Number of Kaizen ideas
Gemba walk wastes
Waste elimination Task diminishment and WIP control
Gemba walk wastes
Process reliability (production planning and control) Last Planner metrics
Daily OTP
Task diminishment and WIP control
Rhythm deviation
Batch completion rhythm
Batch adherence control
Cycle time
Safety (resilience) Percentage of safe work packages, percentage of safety work packages completed, number of near misses
Tab.6  Classification of indicators according to lean principles or concepts
Categories of metrics Examples of metrics
Categories related to lean production goals Waste elimination Cost of rework in relation to sales
Number of wastes identified in Gemba walks
Value generation Degree of customer satisfaction
Number of customer complaints
Categories related to lean production means (principles) -Process reliability
-Time reliability Last Planner metrics
Batch completion rhythm
Batch adherence control
Task diminishment
Quality reliability Number of batches without defects
Percentage of defective products
Slack control Inventory rotation
Amount of WIP
Number of items delivered just-in-time
Supply chain integration Degree of participation of suppliers in early project stages
Integration of suppliers in internal managerial processes
Resilience (safety) Percentage of safe work packages
Number of near misses
Continuous improvement and learning Number of Kaizen ideas
Cost reduction resulting from Kaizen initiatives
Collaboration and empowerment Number of suggestions per employee
Number of decentralized control tools (e.g., Kanban)
Tab.7  Taxonomy of performance metrics in lean production systems
1 G Ballard (2001). Cycle time reduction in home building. In: Proceedings of the 9th Annual Conference of the International Group for Lean Construction. National University of Singapore, 1–10
2 G Ballard, G Howell (1998). Shielding production: Essential step in production control. Journal of Construction Engineering and Management, 124(1): 11–17
https://doi.org/10.1061/(ASCE)0733-9364(1998)124:1(11)
3 K B Barth, C T Formoso (2008). Improvement of performance measurement systems using production management dashboards. In: Proceedings of the 16th Annual Conference of the International Group for Lean Construction. Manchester, 769–778
4 S Beatham, C Anumba, T Thorpe, I Hedges (2004). KPIs: A critical appraisal of their use in construction. Benchmarking, 11(1): 93–117
https://doi.org/10.1108/14635770410520320
5 A Bellisario, A Pavlov (2018). Performance management practices in lean manufacturing organizations: A systematic review of research evidence. Production Planning & Control, 29(5): 367–385
https://doi.org/10.1080/09537287.2018.1432909
6 M M S Bernardes, C T Formoso (2002). Contributions to the evaluation of production planning and control systems in building companies. In: Proceedings of the 10th Annual Conference of the International Group for Lean Construction. Gramado, 1–11
7 S Bhasin (2008). Lean and performance measurement. Journal of Manufacturing Technology Management, 19(5): 670–684
https://doi.org/10.1108/17410380810877311
8 L J Bourgeois III (1981). On the measurement of organizational slack. Academy of Management Review, 6(1): 29–39
https://doi.org/10.5465/amr.1981.4287985
9 M Bourne, J Mills, M Wilcox, A D Neely, K Platts (2000). Designing, implementing and updating performance measurement systems. International Journal of Operations & Production Management, 20(7): 754–771
https://doi.org/10.1108/01443570010330739
10 D B Costa, C T Formoso (2004). A set of evaluation criteria for performance measurement systems in the construction industry. Journal of Financial Management of Property and Construction, 9(2): 91–101
11 D B Costa, C T Formoso (2011). Key factors for the success of performance measurement systems for collaborative benchmarking between construction companies. Ambiente Construído, 11(3): 143–159 (in Portuguese)
https://doi.org/10.1590/S1678-86212011000300011
12 D B Costa, C T Formoso, M Kagioglou, L F Alarcon, C H Caldas (2006). Benchmarking initiatives in the construction industry: Lessons learned and improvement opportunities. Journal of Management Engineering, 22(4): 158–167
https://doi.org/10.1061/(ASCE)0742-597X(2006)22:4(158)
13 F B de Vargas, F S Bataglin, C T Formoso (2018). Guidelines to develop a BIM model focused on construction planning and control. In: Proceedings of the 26th Annual Conference of the International Group for Lean Construction: Evolving Lean Construction Towards Mature Production Management Across Cultures and Frontiers. Chennai, 744–753
14 F B de Vargas, C T Formoso (2020). Method for location-based production planning and control supported by BIM. Ambiente Construído, 20(1): 129–151 (in Portuguese)
15 F España, C C Y Tsao, M Houser (2012). Driving continuous improvement by developing and leveraging lean key performance indicators. In: Proceedings of the 20th Annual Conference of the International Group for Lean Construction. San Diego, 1–10
16 B Ewenstein, J K Whyte (2007). Visual representations as ‘artefacts of knowing’. Building Research and Information, 35(1): 81–89
https://doi.org/10.1080/09613210600950377
17 W R Fazinga, F A Saffaro, E L Isatto, A Kremer (2016). Difficulties in work design in the construction sector. In: Proceedings of the 24th Annual Conference of the International Group for Lean Construction. Boston, MA, 13–22
18 M C T Fireman, C T Formoso, E L Isatto (2013). Integrating production and quality control: Monitoring making-do and informal work packages. In: Proceedings of the 21st Annual Conference of the International Group for Lean Construction, 515–525
19 C T Formoso, C B Moura (2009). Evaluation of the impact of the Last Planner System on the performance of construction projects. In: Proceedings of of the 17th Annual Conference of the International Group for Lean Construction. Taipei, 153–164
20 C T Formoso, L Sommer, L Koskela, E L Isatto (2017). The identification and analysis of making-do waste: Insights from two Brazilian construction sites. Ambiente Construído, 17(3): 183–197
https://doi.org/10.1590/s1678-86212017000300170
21 A G Frandson, O Seppänen, I D Tommelein (2015). Comparison between location based management and takt time planning. In: Proceedings of the 23rd Annual Conference of the International Group for Lean Construction. Perth, 3–12
22 R R Fullerton, W F Wempe (2009). Lean manufacturing, non-financial performance measures, and financial performance. International Journal of Operations & Production Management, 29(3): 214–240
https://doi.org/10.1108/01443570910938970
23 G Galsworth (1997). Visual Systems: Harnessing the Power of the Visual Workplace. New York: American Management Association
24 D Gerwin (2005). An agenda for research on the flexibility of manufacturing processes. International Journal of Operations & Production Management, 25(12): 1171–1182
https://doi.org/10.1108/01443570510633576
25 R W Hall, H T Johnson, P B B Turney (1991). Measuring Up: Charting Pathways to Manufacturing Excellence. Illinois: Irwin Professional Pub
26 E Hollnagel (2017). Safety-II in Practice: Developing the Resilience Potentials. Lodon: Taylor & Francis
27 E Hollnagel, D D Woods, N Leveson (2006). Resilience Engineering: Concepts and Precepts. Aldershot: Ashgate Publishing
28 J Holmström, M Ketokivi, A P Hameri (2009). Bridging practice and theory: A design science approach. Decision Sciences, 40(1): 65–87
https://doi.org/10.1111/j.1540-5915.2008.00221.x
29 A Hopkins (2009). Thinking about process safety indicators. Safety Science, 47(4): 460–465
https://doi.org/10.1016/j.ssci.2007.12.006
30 G Howell, G Ballard (1997). Implementing lean construction: Improving downstream performance. In: Alarcon L, ed. Lean Construction. Rotterdam: A. A. Balkema, 111–125
31 M Kagioglou, R Cooper, G Aouad (2001). Performance management in construction: A conceptual framework. Construction Management and Economics, 19(1): 85–95
https://doi.org/10.1080/01446190010003425
32 R S Kaplan, D P Norton (1992). The balanced scorecard: Measures that drive performance. Harvard Business Review, 70(1): 71–79
pmid: 10119714
33 C Karlsson, P Åhlström (1996). Assessing changes towards lean production. International Journal of Operations & Production Management, 16(2): 24–41
https://doi.org/10.1108/01443579610109820
34 M Kennerley, A D Neely (2003). Measuring performance in a changing business environment. International Journal of Operations & Production Management, 23(2): 213–229
https://doi.org/10.1108/01443570310458465
35 L Koskela (1992). Application of the New Production Philosophy to Construction (vol. 72). Stanford University
36 L Koskela (2000). An Exploration towards a Production Theory and Its Application to Construction. Finland: VTT Publications
37 L Koskela (2004). Making do—The eight category of waste. In: Proceedings of the 12th Annual Conference of the International Group for Lean Construction. Denmark
38 L Koskela, G Howell (2002). The underlying theory of project management is obsolate. In: Proceedings of the PMI Research Conference. Seattle, WA, 293–302
39 E Lantelme, C T Formoso (2000). Improving performance through measurement: The application of lean production and organisational learning principles. In: Proceedigs of the 8th Annual Conference of the International Group for Lean Construction. Brigthon: University of Sussex, 10
40 P E D Love, G D Holt (2000). Construction business performance measurement: The SPM alternative. Business Process Management Journal, 6(5): 408–416
https://doi.org/10.1108/14637150010352417
41 G Manoochehri (1999). Overcoming obstacles to developing effective performance measures. Work Study, 48(6): 223–229
https://doi.org/10.1108/00438029910291192
42 B H Maskell (1991). Performance Measurement for World Class Manufacturing: A Model for American Companies. Portland, OR: Productivity Press
43 A D Neely (1999). The performance measurement revolution: Why now and what next? International Journal of Operations & Production Management, 19(2): 205–288
https://doi.org/10.1108/01443579910247437
44 A D Neely, H Richards, J Mills, K Platts, M Bourne (1997). Designing performance measures: A structured approach. International Journal of Operations & Production Management, 17(11): 1131–1152
https://doi.org/10.1108/01443579710177888
45 T Ohno (1988). Toyota Production System: Beyond Large-Scale Production. Portland, OR: Productivity Press
46 J R Patton (2013). Task Diminishment: Construction Value Loss due to Sub-Optimal Task Execution. Dissertation for the Doctoral Degree. Terre Haute: Indiana State University
47 A Pavlov, M Bourne (2011). Explaining the effects of performance measurement on performance: An organizational routines perspective. International Journal of Operations & Production Management, 31(1): 101–122
https://doi.org/10.1108/01443571111098762
48 H S Robinson, C J Anumba, P M Carrillo, A M Al-Ghassani (2005). Business performance measurement practices in construction engineering organisations. Measuring Business Excellence, 9(1): 13–22
https://doi.org/10.1108/13683040510588800
49 M Rother, J Shook (1999). Learning to See: Value Stream Mapping to Create Value and Eliminate Muda. Cambridge: Lean Enterprise Institute
50 R Sacks, O Seppänen, V Priven, J Savosnick (2017). Construction flow index: A metric of production flow quality in construction. Construction Management and Economics, 35(1–2): 45–63
https://doi.org/10.1080/01446193.2016.1274417
51 F Safayeni, L Purdy (1991). A behavioral case study of Just-in-Time implementation. Journal of Operations Management, 10(2): 213–228
https://doi.org/10.1016/0272-6963(91)90023-Q
52 A M Sánchez, M P Pérez (2004). The use of lean indicators for operations management in services. International Journal of Services Technology and Management, 5(5/6): 465–478
https://doi.org/10.1504/IJSTM.2004.006278
53 S Sarhan, A Fox (2013). Performance measurement in the UK construction industry and its role in supporting the application of lean construction concepts. Australasian Journal of Construction Economics and Building, 13(1): 23–35
https://doi.org/10.5130/AJCEB.v13i1.3069
54 T A Saurin, C T Formoso, F B Cambraia (2008). An analysis of construction safety best practices from a cognitive systems engineering perspective. Safety Science, 46(8): 1169–1183
https://doi.org/10.1016/j.ssci.2007.07.007
55 T A Saurin, C T Formoso, R Reck, B M Beck da Silva Etges, J L D Ribeiro (2015). Findings from the analysis of incident-reporting systems of construction companies. Journal of Construction Engineering and Management, 141(9): 05015007
https://doi.org/10.1061/(ASCE)CO.1943-7862.0000988
56 O Seppänen, G Ballard, S Pesonen (2010). The combination of Last Planner System and location-based management system. Lean Construction Journal, 43–54
57 J Shook (2008). Managing to Learn: Using the A3 Management Process to Solve Problems, Gain Agreement, Mentor and Lead.. Lean Enterprise Institute
58 S J Spear, H K Bowen (1999). Decoding the DNA of the Toyota production system. Harvard Business Review, 77: 96–106
59 B A Tezel, L J Koskela, P Tzortzopoulos (2010). Visual management in construction: Study report on Brazilian cases. SCRI Research Report, 36
60 C Valente, F Brandalise, M Pivatto, C T Formoso (2017). Guidelines for devising and assessing visual management systems in construction sites. In: Proceedings of the 25th Annual Conference of the International Group for Lean Construction. Heraklion: 703–710
61 J E van Aken (2004). Management research based on the paradigm of the design sciences: The quest for field-tested and grounded technological rules. Journal of Management Studies, 41(2): 219–246
https://doi.org/10.1111/j.1467-6486.2004.00430.x
62 D D Viana (2015). Integrated production planning and control model for engineer-to-order prefabricated building systems. Porto Alegre: Federal University of Rio Grande do Sul
63 D B Waggoner, A D Neely, M P Kennerley (1999). The forces that shape organisational performance measurement systems: An interdisciplinary review. International Journal of Production Economics, 60: 53–60
https://doi.org/10.1016/S0925-5273(98)00201-1
64 J P Womack, D T Jones (2003). Lean Thinking: Banish Waste and Create Wealth in Your Corporation, 2nd ed. New York, NY: Simon & Schuster
65 J P Womack, D T Jones, D Ross (1990). The Machine that Changed the World. New York, NY: Rawson Associates
No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
版权所有 © 2015 高等教育出版社.
电话: 010-58556848 (技术); 010-58556485 (订阅) E-mail: subscribe@hep.com.cn