Supply Chain Performance Measurement Framework for Construction Materials: Micro Meso Macro

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Moh Nur Sholeh
Mochamad Agung Wibowo
Naniek Utami Handayani


performance measurement, supply chain, material, micro-meso-macro


Productivity is a challenge in the construction industry, commonly initiated by fragmentation. In addition, some work levels have been identified, including the micro, meso, and macro. However, the construction supply chain is one of the possible solutions adopted to increase productivity. The purpose of this study, therefore, is to develop a framework for measuring supply chain construction performance at the micro, meso, and macro levels. These respective stages are tiered from the bottom to the top level as a supply chain management concept. Furthermore, a design for the supply chain performance measurement framework is created, followed by formulation with KPI, and the consequent application in the project. Therefore, performance is evaluated based on the construction materials, as a large resource. The results identified the supply chain performance at the micro-level as the basis for possible measures between contractor and supplier, using the SCOR. However, the emphasis was made on the strength of construction companies with large suppliers at the meso level. Meanwhile, the macro-level includes the accumulation of related measurements from micro as well as meso, and are consequently used to define the relationship between construction actors at the national level.


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[1]     P. S. Nugroho, “Peningkatan Produktivitas Konstruksi Melalui Pemilihan Metode Konstruksi,” J. Ilm. Din. Rekayasa, vol. 8, no. 1, pp. 25–30, 2012.

[2]     C. Sun, S. Jiang, M. J. Skibniewski, Q. Man, and L. Shen, “A literature review of the factors limiting the application of BIM in the construction industry,” Technol. Econ. Dev. Econ., vol. 23, no. 5, pp. 764–779, 2017.

[3]     A. M. Alashwal, H. A. Rahman, and A. M. Beksin, “Knowledge sharing in a fragmented construction industry : On the hindsight,” vol. 6, no. 7, pp. 1530–1536, 2011.

[4]     I. N. Pujawan, Supply Chain Management. 2005.

[5]     R. D. Broft and L. Koskela, “Supply chain management in construction from a production theory perspective,” in 26th Annual Conference of the International Group for Lean Construction: Evolving Lean Construction-Towards Mature Production Across Cultures and Frontiers, 2018, pp. 271–281.

[6]     P. Behera, R. Mohanty, and A. Prakash, “Understanding construction supply chain management,” Prod. Plan. Control, vol. 26, no. 16, pp. 1332–1350, 2015.

[7]     M. K. Lim, M.-L. Tseng, K. H. Tan, and T. D. Bui, “Knowledge management in sustainable supply chain management: Improving performance through an interpretive structural modelling approach,” J. Clean. Prod., vol. 162, pp. 806–816, 2017.

[8]     M. A. Wibowo and R. Waluyo, “Knowledge management maturity in construction companies,” Procedia Eng., vol. 125, pp. 89–94, 2015.

[9]     X. Xue, Y. Wang, Q. Shen, and X. Yu, “Coordination mechanisms for construction supply chain management in the Internet environment,” Int. J. Proj. Manag., vol. 25, no. 2, pp. 150–157, 2007.

[10]   M. N. Sholeh, Manajemen Rantai Pasok Konstruksi. Yogyakarta: Pustaka Pranala, 2020.

[11]   S. Kaushik, “Material Supply Chain Practices in the Construction Industry,” Int. Res. J. Eng. Technol., vol. 5, no. 7, pp. 543–554, 2018.

[12]   R. Bhagwat and M. K. Sharma, “Performance measurement of supply chain management: A balanced scorecard approach,” Comput. Ind. Eng., vol. 53, no. 1, pp. 43–62, 2007.

[13]   F. Persson, “SCOR template - A simulation based dynamic supply chain analysis tool,” Int. J. Prod. Econ., vol. 131, no. 1, pp. 288–294, 2011.

[14]   P. Taylor, M. A. Sellitto, G. M. Pereira, M. Borchardt, R. Inácio, and C. V. Viegas, “A SCOR-based model for supply chain performance measurement: application in the footwear industry,” Int. J. Prod. Res., vol. 53, no. 16, pp. 4917–4926, 2015.

[15]   M. Thunberg and F. Persson, “Using the SCOR model’s performance measurements to improve construction logistics,” Prod. Plan. Control, vol. 25, no. 13–14, pp. 1065–1078, 2014.

[16]   M. A. Wibowo and M. N. Sholeh, “The analysis of supply chain performance measurement at construction project,” Procedia Eng., vol. 125, pp. 25–31, 2015.

[17]   D. Luu and W. Sher, “Construction tender subcontract selection using case-based reasoning,” Constr. Econ. Build., vol. 6, no. 2, pp. 32–43, 2006.

[18]   Supply Chain Council, “Supply Chain Operations Reference Model,” Supply Chain Oper. Manag., pp. 1–976, 2012.

[19]   K. Lamba and S. P. Singh, “Big data in operations and supply chain management: current trends and future perspectives,” Prod. Plan. Control, vol. 28, no. 11–12, pp. 877–890, 2017.

[20]   H. A. Rahardjo and H. Bermawi, “Strategi Pengelolaan Rantai Pasok Industri Konstruksi dalam Mendukung Pembangunan Infrastruktur Nasional,” in Seminar Nasional Teknik Sipil V, 2015.

[21]   APICS, Supply Chain Operations Reference (SCOR) Version 12.0. 2017.

[22]   D. Simchi‐Levi and Y. Zhao, “The value of information sharing in a two‐stage supply chain with production capacity constraints,” Nav. Res. Logist., vol. 50, no. 8, pp. 888–916, 2003.

[23]   W. Lu, K. Ye, R. Flanagan, and C. Jewell, “Developing Construction Professional Services in the International Market: SWOT Analysis of China,” J. Manag. Eng., vol. 29, no. 3, pp. 302–313, 2013.

[24]   J. Gosling, D. R. Towill, M. M. Naim, and A. R. J. Dainty, “Principles for the design and operation of engineer-to-order supply chains in the construction sector,” Prod. Plan. Control, vol. 26, no. 3, pp. 203–218, 2015.

[25]   M. Misita, N. Lapcevic, and D. Tadic, “New model of enterprises resource planning implementation planning process in manufacturing enterprises,” vol. 8, no. 5, pp. 1–15, 2016.

[26]   M. N. Sholeh and M. A. Wibowo, “Aplikasi Rantai Pasok: Pengadaan Material Konstruksi Antar Pulau,” Proceeding SENDI_U, pp. 978–979, 2015.