The paper presents risk assessment of construction projects The assessment is based on the multi‐attribute decision‐making methods The risk evaluation attributes are selected taking into consideration the interests and goals of the stakeholders as well as factors that have influence on the construction process efficiency and real estate value Ranking of objects and determination of their optimality are determined by applying TOPSIS grey and COPRAS‐G methods with attributes values determined at intervals A background and a description of the proposed model are provided and key findings of the analysis are presented

/pdf/risk-assessment-of-construction-projects-2nwnaylmv0.pdf

Risk assessment of construction projects

Multi-attribute analysis is a useful tool in many economical, managerial, constructional, etc. problems. The accuracy of performance measures in COPRAS (The multi-attribute COmplex PRoportional ASsessment of alternatives) method is usually assumed to be accurate. This method assumes direct and proportional dependence of the weight and utility degree of investigated versions on a system of attributes adequately describing the alternatives and on values and weights of the attributes. However, there is usually some uncertainty involved in all multi-attribute model inputs. The objective of this research is to demonstrate how simulation can be used to reflect fuzzy inputs, which allows more complete interpretation of model results. A case study is used to demonstrate the concept of general contractor choice of on the basis of multiple attributes of efficiency with fuzzy inputs applying COPRAS-G method. The research has concluded that the COPRAS-G method is appropriate to use.

/pdf/multi-attribute-decision-making-model-by-applying-grey-21ov9h7224.pdf

Multi-Attribute Decision-Making Model by Applying Grey Numbers

http://eil.stanford.edu/publications/jack_cheng/AutoCon1.pdf

A service oriented framework for construction supply chain integration

Identification and classification of ERP critical failure factors in Iranian industries

Asus Tech. is the largest motherboard manufacturer in Taiwan. Hundreds of suppliers cooperate with the company in business. So that supplier selection is the most important function of a purchasing department in the enterprise. An enterprise resource planning (ERP) system in the process of supplier selection may result in the great savings in both costs and man hours. In the concept of push and pull, an ERP system acts as an efficient tool in the resource integration and profit creation for a company. Through ERP, a decision manager can clearly realize the strength and weakness of the purchasing operation. To establish a real-time purchasing environment, a methodology of analytic network process (ANP), technique for order preference by similarity to ideal solution (TOPSIS) and linear programming (LP) are effectively applied in the supplier selection process. ANP and TOPSIS are used to calculate the weight and give suppliers a ranking; LP effectively allocates order quantity to each vendor. As to the result, four PC board suppliers are given orders for 1200, 727, 1000 and 73 pieces.

An ERP model for supplier selection in electronics industry

https://isiarticles.com/bundles/Article/pre/pdf/21277.pdf

Chih Tes Wu

Papers

Selection of an ERP system for a construction firm in Taiwan: A case study