This paper aims to identify key characteristics projects in
reconstruction stage in order to assist decision makers to produce
appropriate approach to manage those projects effectively. A list of
characteristics that may exist in reconstruction projects were
identified through intensive literature review and pilot study with
various stakeholders involved in in reconstruction stage.
Earthmoving is the process of moving and processing soil from one location to another to alter an existing land surface into a desired configuration. Highways, dams, and airports are typical examples of heavy earthmoving projects. Over the years, con
struction managers have devised ways to determine the quantities of material to be moved from one place to another. Various types of soil (soft earth, sand, hard clay, …, etc.) create different level of difficulty of the problem. Earthmoving problem has traditionally been solved using mass diagram method or variety of operational research techniques. However, existing models do not present realistic solution for the problem. Multiple soil types are usually found in cut sections and specific types of soil are required in fill sections. Some soil types in cut sections are not suitable to be used in fill sections and must be disposed of. In this paper a new mathematical programming model is developed to find-out the optimum allocation of earthmoving works. In developing the proposed model, different soil types are considered as well as variation of unit cost with earth quantities moved. Suggested borrow pits and/or disposal sites are introduced to minimize the overall earthmoving cost. The proposed model is entirely formulated using the programming capabilities of VB6 while LINDO is used to solve the formulated model to get the optimum solution. An example project is presented to show how the developed model can be implemented.
The Dams are large and complex projects, and are generally characterized by the
enormous cost of implementation in some cases, and the length of the implementation
period, are rarely carried out a dam in Syria within the estimated plan which develo
ped his
of the cost and time, this is due to the risks that intercepted projects during the
implementation phase and directly influenced the basic project objectives ( cost and time
and quality).
This research experiences to the reality of the implementation of the late dams,
through undertake a study the risks suffered by the implementation of sector and
influenced the basic objectives of the project (cost - time - quality), through a field survey
study includes more than thirty-five dams in Syria.
For this purpose have been used survey was distributed to a slice of experts and
technicians in the form of dams, has enabled to obtain a list of the risks faced by the
implementation of dams in addition to the assessment, In an attempt to develop a scientific
methodology to analyze and manage the risks of dam projects by assessing the probability
of their occurrence and their impact on the objectives of the project in the event of
occurrence, with introduce a new standard for evaluating a detection / control, As per the
approach to FMEA /Failure Mode and Effect Analysis/ and incorporate logic fuzzy, and
arrange those risks according the Risk Criticality Number (RCN) for each risk early in
order be sensitive to them than we can handled properly with proposing appropriate
response strategies.
Changes in construction projects are considered as prevalent phenomenon. Where,
most of projects face changes in drawings, specifications, work scope, or contractual
conditions.
The traditional construction followed in Syrian projects has a long t
ime span between
planning, design, and construction. As result the possibility of changes occurrence in any
project becomes considerable. There are many causes of change orders in construction
industry. These changes, mostly causes time and cost overrun and managerial
complications.
The objective of this study is determining the main causes of change orders;
arranging them according to their significance; and studying their effects on project’s cost
and time. The owner or the engineer supervising the project is the party who is responsible
for change orders in the project.
