Bon-Gang Hwang, A.M.ASCE1; and Chin Kiat Soh2

REVIEW : Trade-Level Produc-tivity Measurement: Critical Challenges and Solutions

OPERATIONS MANAGEMENT

7TH GROUP

REVIEWED BY :

7TH GROUP

1.RANDI ILHAM 2.RIVANDI ANUGRAH3.LAILA RAHMADANTI4.NADYA NABILA5.SILVI AYUNI

A. BACKGROUND

In this research of this paper is about how the measure-ments of trade level of productivity. Productivity is a key factor that companies should track to ensure their long-term viability. In fact, productivity can be a real source of competitive advantage. In the macroeconomic sense, it is a benchmark of a country’s liv-ing standard and reflects the overall competitiveness of an in-dustry and economy (Jergeas et al. 2000). as a critical compo-nent that can be used to asses the overall productivity of indus-try and it was done by any research that has been conducted to investigate the challenges that contractors and subcontractors face in measuring productivity accurately at the trade level. Pro-ductivity is defined as the relationship between output produced and one or more of the inputs used in the production process (National Research Council 1979).

B. PROBLEMSThe problem that will be discussed in this paper is about the

critical challenges and also about the difficulties that contractors and subcontractors encounter during trade-level pro-ductivity measure-ment, and will identify solutions that can be used effectively to deal with these challenges. So this paper is also did any research to find the best solutions that will be identified and analyzed statistically.

WHAT’S?

Chal-lenges Solutions

C. METHODOLOGYCASE STUDIES (FIELDS)

Interview

Questionnaire

Data in-forma-

tion

 D. THEORETICAL BASIS

To know the role that plays in productivity to develop a coun-try and how big the effects are , so we have to measuring the impact of productivity construction. In the macroeconomic sense, it is a benchmark of a country’s living standard and reflects the overall competitiveness of an industry and economy (Jergeas et al. 2000). Despite its high impact, productivity improvement in the construc-tion industry is still an area in which much research work needs to be done (Ranasinghe et al. 2012). Understanding productivity in the construction industry is a complex and elusive prospect, and the task is made more diffi-cult by the very nature of the industry (Bern-stein 2003). Accord-ing to Chapman and Butry (2009), the nature of the construction process leads to the necessity of measuring con-struction pro-ductivity at three levels: task, project, and industry. It makes the conclution is the productivity is very important so that the competitiveness can be improved in industry and economy.

E. RESULTSUsing scale 1 to 51= ineffective5= very effective

ANALYSIS OF

chal-lenges

solutions

Analysis of Challenges

FIRM RELATED CHALLENGES

TRADE-RELATED CHALLENGES

COMPARISON OF CHALLENGES MAIN CONTRACTORS AND SUBCONTRACTORS

COMPARISON OF CHALLENGES BY SPECIFIC TRADES

Analysis Of SolutionsINDUSTRI RELATED SOLUTIONS

FIRM RELATED SOLUTIONS

TRADE RELATED SOLUTIONS

COMPARISON OF SOLUTIONS BETWEEN MAIN AND SUBCON-TRACTORS

F. CONCLUSION

This study aimed at identifying the challenges encoun-tered by contractors when measuring trade-level productivity and proposing plausible solutions to overcome these chal-lenges. The literature review carried out for this study revealed that trade productivity measurement is not only affected by challenges that stem from the trades themselves but are also influenced by the nature of the industry and the type of con-tractor firm. In addition, the survey revealed that 62% of the respondents did not have policies related to productivity mea-surement at their firms, indicating that most of the contractors were not proactive in this area, although they did acknowledge its importance.

G. COMMENT

AD-VAN-

TAGES

• In my opinion this paper is good structured, we can knows clearly because the step by step is pulled out. It has a good topic to be dis-cussed.

WEAKNESS

• Unfortunately, this paper didn’t use more data. So I think it is too small number of data because only use 42 respondents, and I espectif it is use more data so that it makes more reliable.

Thank you for your time!