A systemic approach to analyzing the material factors binding Successful project management in the Nigerian CONSTRUCTION
a systemic approach to limiting factors FIELD OF ANALYSIS success of the Project Management in Construction Nigeria.> SUMMARY
The study analyzed the materials as part of the direct and indirect factors limit the success of the management of public projects and private sector construction in Nigeria with a systemic approach. This study is very relevant, since any constraint on the success in the construction industry has a significant effect on overall economic growth of the nation. Analyses of the data were calculated on the basis of data on subjective factors indices relevance of attributes. Factor analysis was used to reduce the potential for less, but each variable. The results of the analysis of important factors that contribute to development of a computer model and an advanced project management, equipment such as an effective tool for monitoring of projects in addition to time and cost variables are.
KeywordsHardware factors binding systems relative relevance of attributes, public and private sector construction.
user among the top four to twenty economic sectors in terms of rank could be inter-sector. The importance of this sector as an agent of development by its ability to deliver improved employment for the teeming population of the nation. To this end, therefore, can not overestimate the strategic importance of the construction industry in a growing economy like Nigeria as we have seen that in the name of the industry for a significant proportion Product nation GDP and employs a large proportion of the workforce. The construction industry is an important index as a factor in social and political integration of the company and is considered one of the most important financial areas of developing countries. The construction industry seems to be the cornerstone and the foundation of rapid economic growth of any nation (Bhavesh, 2006). This is confirmed by the fact that the capital for most projects of Nigeria account budget for more than 40% of the total projected spending in annual federal and state budgets, and in the development of various nations stressed rolling plans. The proceeds from the construction industry is not required for the services they create for trade and industry have a structural basis. According to Eric, 2003, “The industry is likely to remain an important area of development activity that the need for the provision and renewal of infrastructure are becoming increasingly important in the coming years.”
The study aims to identify and analyze documents limiting factors for the success of the project management and public private sector in Nigeria. The analysis reflects the strength of the individual factors and the speed with which it concerns the failure, neglect, and decay of construction projects in Nigeria. The result of the findings, if applied, should reduce the speed, fail in the projects in Nigeria, if not eliminate even.
METHODOLOGY
The data analysis was done by direct and indirect sources. A format of five-point Likert scale was in the design of the questionnaire. Factor analysis was used used to the variables to fewer, but in each other to reduce variables. The ANOVA was used to the differences in the level of relevance of these factors, which prevent to confirm the success. The analysis of the cost constraints in the construction of residential buildings Ten IMO Secretariat Owerri by state concentrated ten enterprises of different structure, is the construction of Onitsha Owerri road still under construction and Oceanic Bank building along Douglas Road, Owerri, all in eastern Nigeria, West Africa Sub-Region. analytical formula is RRId = ? CI / CI x 100 user
History>
procurement delays by the customer , project teams and / or contractor and its impact on construction costs and time.
* The lack of detailed information on the climatic impact of some building materials and their impact in terms of installation, duration, service capabilities, including foreign purchases of material. * Effective and efficient materials purchased locally, inadequate or incomplete design specifications and documentation. * First * Cost estimation errors on material type, quantity and quality. Attitude of the project team and the * Customer, the material control and monitoring at the construction site during construction. Predict the impact of inflation on materials and planning. * The high cost of basic construction materials and their effect to delays in construction projects and abandonment. to deliver * bribery and corruption to the detriment of the cost of materials. * The lack of best practices and systematic inspection of materials for the project design and construction. * computer used only rarely to to the weight and quality of the materials measured. * Motivating critical and crucial issues such as staff will have an impact on materials planning, delivery and storage is usually not taken into account and clearly defined. * Lack of sufficient information on the health effects of certain materials on end users and process during the installation. * Minimize specialized work, the promotion of the costs are preliminary Prime certain materials. * specialist works on some hardware installation are not well defined at the beginning of the project. * The clarity of the draft design brief gap, and less on materials. model searchThe model in Figure 1 consists of the direct and indirect variables developed a holistic approach to solution to the problem of successful project management within the construction industry in Nigeria. This study is based on the analysis of the important factors, based presented as a subsystem of the system. The arrows show the model how the variables are inter-and intra-dependent. This shows is that every factor that affects a variable subsystem is always an impact on all other factors of this system and to other subsystems.
</ p> IN TIME
SUB
SSSSUBSUBSYSTEM
PROJECT MANAGEMENT
SUB / p> <
SUB> / strong ENVIRONMENT SUB
<
Construction / p> SUB
Figure 1: The construction project management success INTERACTIVE model
Table 1 saturations
Private
Factor 1
The fluctuations in the cost of materials
inadequate storage facilities, material specifications in the design ambiguous.
publication of the estimate of the cost of raw materials errorAttitude of the project team to significant losses.
Expect the cost effects of a decision before implementing the alternativeessential and critical issues the materials are not as
Inadequate planning Minimize specialized work are encouraging and the first cost estimates of materials clarity of design and minimal memory 0.66515 0.54089 0.61521 0 60 849 0.66303 0.64086 .65712 0.61150 0.49967 0.50220
0.55518 .5782 0.64619 0 66 445 0.63301 0.67830 0.54593 0.48571 unforeseen circumstances higher interest rates on loans’ for materials l’achat / P> Corruption and minimization through a thorough understanding of the conditions of the contract capacity, cost savings on materials design> construction delays Cost control during design phase
/ p> 0.58869 (4) 0.47275 (3) 0.37300 (5) 0.50749 (3 ) 0.54449 (2) 0.54988 (2) 0.52056 (2) 0.46890 (2) 0.56538 (2) 0.54608 (1) 0.61019 (1) 0.50174 (1) 0.69529 (1) 0.585509 (1) 0.595144 (1) 0.54362 (2)>
0.51020 (2 ) Source: Computer-analysis of studies user ANALYSIS The “variable In the hardware subsystem were three main factors with eigenvalues greater than 1.0 in the public sector and private sector projects receive for the extraction of relevant factors were reviewed to calculate the factors of over 0400. In addition, various factors descriptive names to their most basic variables, ie based variables with the highest concentrations. There will also be noted that a number of variables to higher levels. For the purposes of the load factor is extracted, the variables were combined with the factors they wieght most. A – PUBLIC
B – Private
Factors
Values <
<
percentage deviation / p>%
/ p>
/ p> cumulative percentage / p> 1 3.42151 2.36102 17.7 p> 51.1>
3.16195 1.45613 23.1 14.1 5.8>
Source: Computer-analysis of studies / strong> Table 3 (A, B) groups of variables in the size of the main factors – Public Sector user Factors
Preview variables and their impact on variable L / D M5 M6 M7 M8 M11 M13 M14 10 M2 a thorough detailed scope definition,> 0.51628 0.66515 0.54089 0.61521 0.60849 0.66303 0.64085 0.65712 proper planning and attitude towards
M15 M16
0.52056 0.46898 -0.54449 0.54988 -0.56538 storage, delay and inefficiency.
3 2 M12 M9 fluctuations in the cost of materials 0.47275 0.50749 and the variance of quality.
> 4 M4 1 1 M10 corruption and bribery in the procurement process>
Sources of computer analysis Studies B – 3 0.51020 – - – - – - – - – Source: Computer-analysis of studies Results factor analysis VARIABLES important public It’s interesting that define four of the six attributes that these dimension related only to the initial definition phase of the project, while only two relate to the other stages. They are “fluctuating material” and “Attitude of the project team to manage the devices. The second feature is also very important in the definition phase, because to maintain the attitude of the customer and the project team, the unit at an early stage clear influence on the achievement the project goals. The attitude of the customer and the project team to inventory management is very important. fluctuating cost of materials is another variable, the fee in the first sector. The materials can be purchased in bulk, payment and terms of payment or non-payment of staff turnover at the beginning integrated planning in the design phase. The second factor as “effects of variation material costs, delays and material requirements identified unprofitable design” is defined by five variables, including two positively charged, while three of the negative charge on the factor of 4 variables have factor loadings greater as 0.5000, while a variable fee of less than 0.5000. These variables are: the frequent change orders, delays, reduce debt, the economy of design and cost control implementation stage. This factor explains 12.1% variance explanation Self-value of 2.24. The frequent change orders and variations are provided in Material fourth.Factor 2 Variation of direct and indirect effects on the waste materials. Directe, that the quality of materials, labor and plants are affected or altered indirectly It also has a disturbing impact on the schedule, the impact on the costs further. This variable is endemic in public sector construction in Nigeria, has its roots in the inadequate definition of the scope in the design phase and therefore the factors described above in connection stand. variables preview
and n variables L / 1 .64065 M15 MC16>
M17>
M18 0.73077 M 19 0.68088 5 detailed specifications of the raw material requirements and procurement planning.>
M1>
M2>
M3 0.59939 > M5
M13>
M14>
6 <> / strong variations of specifications of high-quality materials>
M6 0.76067 M7 0, 53 492 M8 0.60394 M9>
4 Interest on loans for equipment supply and effective monitoring of use. 4>
M12 2 Commodity estimate error 5 > p> M4
M10 0.57842 2 unforeseen circumstances and corruption and Source: Computer-analysis of studies Results Private Factors Preview variables and their loads n variables L / 0.79724 M7>
M8 0.56280 M10>
M11>
M12 0.56207 6 systematic purchase of materials and control
M17>
M18 0.57367 M19>
4 M2 0.83431 <> M3 / strong .80075 MC9>
4 The effects of changes in the cost
, delays and changes in the use of materials> M5 0.55708 0.75255 M14
3 poor material inventory 0.57955 M16 0.66652 2 Weather impact on the issues Source: Computer analysis studies The first part of the table shows the comparison between the public construction costs in relation to the key variables. The 10 variables for both sectors loads on the factor 1, which means that expenditures of generally similar show in 14 19 variables. The second factor is load up six variables and five others moderately high. The dependent variables are defined, the highest variation in material and labor costs of the plants (inflation). The variable is a very important factor causing physical constraints in public buildings. The nearest shop is very variable, followed by poor planning Change Orders and frequent changes in their financial implications. Construction delays and inadequate or incomplete design were loaded approximately equal to 0.59939 0.59243 and in each case. The variable that is least loaded this factor is critical and crucial issues affecting the availability and use of materials. Factor 2 is called “inflation, changes, and poor planning.” The comparison with the corresponding factor 2 (main factors), there are five variables for both factors. Factor 3 has four variables loaded on to two variables loading on factor 3 with the most important factors. The four variables are included the cost of crude error estimation, housing material loss caused by project staff, ambiguous specifications of materials at the construction rate interest on loans for the purchase of materials. The variable factors, for both the higher interest rates. This factor is called “interest rate, attitude and effectiveness of cost control,” The fourth factor is defined by only two variables, the lack of established methods to control the cost of the acquisition of materials. The corresponding factor of four of the most important factors is only one variable loading on it (unforeseen circumstances), so there is no common variable between the two factors. The fifth factor is also defined by two variables, unforeseen circumstances, the likelihood of unforeseen events in the area of risk, the employer and corruption. It is interesting that the factor 5 on the main factors that corruption is the only variable in this store. Specifications of materials and analysis are considered an important index in evaluating project proposals. There should be no ambiguity in the material specification in the design of the project, especially for complex ProSales be. Project participants should see significant factors in the immediate factors that are closely monitored the implementation of the project must succeed. The result of this analysis of the material factors lead to the development of a computer model and a construction project management software advanced software, include the handling and material substitution as an effective tool in monitoring the projects, alongside with the time and cost of the project
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Financial management software construction