decision support system for material routing in construction sites.
Read Online

decision support system for material routing in construction sites. by Junli Yang

  • 82 Want to read
  • ·
  • 49 Currently reading

Published by University of Wolverhampton in Wolverhampton .
Written in English

Book details:

Edition Notes

Dissertation (Ph.D.) - University of Wolverhampton 2001.

ID Numbers
Open LibraryOL18629979M

Download decision support system for material routing in construction sites.


It proposes a more comprehensive framework for the integration of a decision support system (DSS) for materials selection into building information modeling (BIM). The unique component of the proposed framework is a holistic integration of cost, energy, carbon, and mechanical : Martin Nwodo, Martin Nwodo, Chimay Anumba, Chimay Anumba, Somayeh Asadi, Somayeh Asadi.   Yang, J., & Mahdjoubi, L. (, October). Using IT in material management in construction site: A decision support system in material routing. Paper presented at ARCOM Doctoral Workshop, IT Research in Construction Management, University of Salford, Keywords: IT, material management, construction site, material routingAuthor: J Yang, Lamine Mahdjoubi. This paper presents the concept and the protocol in developing a Decision Support System (DSS) in which the system enables to trigger the construction waste generation factors. Decision support system approach for construction materials selection March Conference: Proceedings of the Symposium on Simulation for Architecture and Urban Design.

Decision support systems have been applied to various industries including health, banking, aviation, motor, economy, construction, etc. There is a substantial amount of evidence that suggests human intuitive judgment and decision-making can be far from optimal and deteriorates even further with complexity and stress. systemsliterature(SpragueandCarlson,)and(AlaviandHenderson,). AsKeen andScott-Morton (), Alter() and othersnote,thebasicdesign strategy for DSS beginswith an analysis of thedecisionprocess and adaptively. Towards a Decision Making Support System for the Capacitated Vehicle Routing Problem: /ijdsst Distribution of goods is of importance in logistics and supply chain management. The target of a distribution network is to specify the beneficial way for. This chapter aims to present the design and development of a decision support system (DSS) for the analysis, simulation, planning, and operation of maintenance and customer services in electric power distribution system (EPDS). The main objective of the DSS is to improve the decision‐making processes through visualization tools and simulation of real cases in the EPDS, in order to allow.

  Describes the design and implementation of a software system, called Virtual Construction Material Router (VCMR). The software provides a decision‐support system for materials movement in complex construction sites. It consists of integrated software systems, composed of computer‐aided design, geographical information systems and fuzzy logic.   Bi-objective decision support system for routing and scheduling of hazardous materials. Before proceeding to the solution construction step, K.N. AndroutsopoulosA decision support system for integrated hazardous materials routing and emergency response decisions. Transp Res Part C, 16 (), pp. Keywords: Construction industry, decision-making, decision support systems, tendering. 1. Introduction Planning for construction project involving millions ringgit is a challenging and complex task faced by multiple parties such as clients, consultants and contractors. The successful execution of a construction.   This paper presents a decision support system for assessing alternative distribution routes in terms of travel time, risk and evacuation implications while coordinating the emergency response deployment decisions with the hazardous materials routes. The proposed system provides the following functionalities: (i) determination of alternative non-dominated hazardous materials distribution routes in terms of cost and risk minimization, (ii) specification of the hazardous materials .