Scientia Iranica

Scientia Iranica

Design of an innovative construction model for supply chain management by measuring agility and cost of quality: An empirical study

Document Type : Research Article

Authors
Y. Rahimi 1
R. Tavakkoli-Moghaddam 1
S. Shojaie 2
I. Cheraghi 3
1 School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran
2 School of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran
3 Department of Industrial Engineering, Albourz Campus, University of Tehran, Tehran, Iran
10.24200/sci.2017.4388
Abstract
This paper aims to present a model for an agile supply chain network in construction enterprises with performance evaluation of suppliers and contractors. Management and selection of suppliers and contractors play an important role in the process of constructions since contractors are as corner stones of construction projects. Additionally, contractors are the main factor in converting resources to final products. Traditionally, contractor selection in construction projects is on the basis of the lowest proposed price. However, there are various qualitative and quantitative criteria with different priorities associated in this regards in order to make the best decision. In this paper, a hybrid method of DEA/AHP/FDEMATEL is used. First, important and effective evaluation criteria are selected through an FDEMATEL method. Then, the DEA/AHP method is implemented in order to evaluate and prioritize the selected indicators as well as to incorporate them in a supply chain. Furthermore, agility is involved in the considered supply chain network. Furthermore, in this paper for the first time in Iran, a supply chain model is studied and designed for civil companies.
Keywords
Construction supply chain management
Agility
Suppliers performance evaluation
Cost of quality
Subjects
Scientia Iranica
Volume 24, Issue 5
Transactions on Industrial Engineering (E)
September and October 2017
Pages 2515-2526

  • Receive Date 20 July 2015
  • Revise Date 23 April 2016
  • Accept Date 19 September 2016