Sori Tesema, Woyesa Ararsa, Jifara Chimdi, E. Quezon
A building construction project cannot be completed successfully by only planning and scheduling. Project controlling that consists of project monitoring and updating, is the other critical stage. Construction materials cost and quality are becoming a severe problem in Ethiopia, especially in Ambo Town, where little consideration is given. The study tried to evaluate different factors affecting the materials cost and quality on building construction site, rank significant factors that are prevalently affecting the cost and quality of materials used for building projects from the point of view of the respondents and established a model to optimize materials cost and materials quality using multilinear regression method to come up with the model best fit. Purposive sampling was used, and 180 questionnaires were administered on building construction firms to analyze Material cost Optimization and quality control Improvement- Case Study of Ambo Town. To achieve this, a questionnaire survey containing factors affecting Building construction material cost and quality, which were identified by literature and Interview, was analyzed by using the Relative Importance Index, Pearson's correlation, and Multilinear regression model. Variables are statistically significant at 95% confidence level is assessed that all of the independent variables are positively related to Building Construction material cost and quality. The RII results showed that Material Wastage minimization (RII = 0.908), Proper workmanship (RII= 0.859), Sufficient Training of workers/staff (RII = 0.876), Proper forecasting of materials price in the market (RII = 0.850), Using suitable, safe and secure storage (RII = 0.886), Quality checking for each delivery of the aggregates to the site (RII = 0.889), Cutting of materials ( glass, tiles, plywood) (RII = 0.870) and Design changes (RII = 0.770) were ranked as the most significant among factors affecting building construction materials. Also, Two Multiple linear regression models were established for both dependent variables (material cost and material quality). The analysis results showed all independent variables were significant and had a strong positive relationship with dependent variables. The values of R2 for the developed equations indicated 0.771 for material cost, and 0.777 for material quality. Hence, the basic recommendations such as planning and monitoring construction activities and inspection and verification of materials were anticipated to be exercised by key role players of the construction industry.
{"title":"Material Cost Optimization and Quality Control Improvement of Building Construction","authors":"Sori Tesema, Woyesa Ararsa, Jifara Chimdi, E. Quezon","doi":"10.2139/ssrn.3913689","DOIUrl":"https://doi.org/10.2139/ssrn.3913689","url":null,"abstract":"A building construction project cannot be completed successfully by only planning and scheduling. Project controlling that consists of project monitoring and updating, is the other critical stage. Construction materials cost and quality are becoming a severe problem in Ethiopia, especially in Ambo Town, where little consideration is given. The study tried to evaluate different factors affecting the materials cost and quality on building construction site, rank significant factors that are prevalently affecting the cost and quality of materials used for building projects from the point of view of the respondents and established a model to optimize materials cost and materials quality using multilinear regression method to come up with the model best fit. Purposive sampling was used, and 180 questionnaires were administered on building construction firms to analyze Material cost Optimization and quality control Improvement- Case Study of Ambo Town. To achieve this, a questionnaire survey containing factors affecting Building construction material cost and quality, which were identified by literature and Interview, was analyzed by using the Relative Importance Index, Pearson's correlation, and Multilinear regression model. Variables are statistically significant at 95% confidence level is assessed that all of the independent variables are positively related to Building Construction material cost and quality. The RII results showed that Material Wastage minimization (RII = 0.908), Proper workmanship (RII= 0.859), Sufficient Training of workers/staff (RII = 0.876), Proper forecasting of materials price in the market (RII = 0.850), Using suitable, safe and secure storage (RII = 0.886), Quality checking for each delivery of the aggregates to the site (RII = 0.889), Cutting of materials ( glass, tiles, plywood) (RII = 0.870) and Design changes (RII = 0.770) were ranked as the most significant among factors affecting building construction materials. Also, Two Multiple linear regression models were established for both dependent variables (material cost and material quality). The analysis results showed all independent variables were significant and had a strong positive relationship with dependent variables. The values of R2 for the developed equations indicated 0.771 for material cost, and 0.777 for material quality. Hence, the basic recommendations such as planning and monitoring construction activities and inspection and verification of materials were anticipated to be exercised by key role players of the construction industry.","PeriodicalId":125669,"journal":{"name":"EngRN: Quality Engineering (Topic)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121678763","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The construction industry always faces problems on price fluctuation and adjustment of the price to compensate the cost fluctuation becomes necessary. There is dilemma on which formula of price adjustment to use in construction contracts. Price adjustment affects all the stakeholders i.e. client, consultant and contractor. This research has revealed about the trend of the cost of components of construction i.e. labor, material, fuel, equipment, etc. and compare the different formulas of price adjustment Ten contracts commencing within 2010 A.D to 2019 A.D have been chosen. The formula used in the contracts has been compared with other formulas under same circumstance that original formula was used. The cost of fuel and bitumen cannot be predicted as it is fluctuating with respect to time. PPMO formula for Price Adjustment use NRB index of labor, material and equipment or fuel. Labor index has increased by 44.86 % during June 2015 to June 2019. Material index is fluctuating and has increased by 20.66% and Equipment index by 31.54%. Comparing the price adjustment factor using different formulas it is seen that the value of price adjustment factor using different formulas are different and change with course of time. Thus, it cannot be generalized that which formula could give minimum value of price adjustment. It depends upon condition such as time, index and cost.
{"title":"Operation of Price Adjustment in Construction Projects","authors":"Anjay Kumar Mishra, P. Aithal","doi":"10.2139/ssrn.3732323","DOIUrl":"https://doi.org/10.2139/ssrn.3732323","url":null,"abstract":"The construction industry always faces problems on price fluctuation and adjustment of the price to compensate the cost fluctuation becomes necessary. There is dilemma on which formula of price adjustment to use in construction contracts. Price adjustment affects all the stakeholders i.e. client, consultant and contractor. This research has revealed about the trend of the cost of components of construction i.e. labor, material, fuel, equipment, etc. and compare the different formulas of price adjustment Ten contracts commencing within 2010 A.D to 2019 A.D have been chosen. The formula used in the contracts has been compared with other formulas under same circumstance that original formula was used. The cost of fuel and bitumen cannot be predicted as it is fluctuating with respect to time. PPMO formula for Price Adjustment use NRB index of labor, material and equipment or fuel. Labor index has increased by 44.86 % during June 2015 to June 2019. Material index is fluctuating and has increased by 20.66% and Equipment index by 31.54%. Comparing the price adjustment factor using different formulas it is seen that the value of price adjustment factor using different formulas are different and change with course of time. Thus, it cannot be generalized that which formula could give minimum value of price adjustment. It depends upon condition such as time, index and cost.","PeriodicalId":125669,"journal":{"name":"EngRN: Quality Engineering (Topic)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121554477","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-12-30DOI: 10.34218/ijierd.10.2.2019.001
Dr. Yassin Mustafa Ahmed, M. H. Hassan
High quality and service is a major purpose of any organizations in order to satisfy their consumers. And quality control can measure the quality of product. In fact, quality control not concern to inspection only, but it related to good technology and proper management all together. Although leadership responsibility is a great matter and needs to pay attention in the firm. Also, a vast majority of quality cost could not be control just by the manager, and cooperative working is required. Productivity and profitability are two major points that is focused on in any production system, and they highly affected by quality control. So that the current research is studying the influence of using of the quality controls program on outputs, and profitability in the cement plants in Sulaimani city. In the study questioner was spread, in it was randomly divided into four of the cement factories (Gasin, Tasluja, Delta, and Bazya) factories. And the collected data is analyzed using SPSS software. The results show that the quality control has a crucial positive influence on both productivity and profitability in the cement factories. Therefore, the factories must focus on the quality control to obtain their objectives which are high production rate and high profit. Although most employers believe that applying the principles of quality control has a significant benefit in increasing productivity and profitability, this is a clear sign of the quality control program's influence. On the other hand, less than half of the respondents believe that using the QC program is useful in cement factories to introduce new ideas and provide training.
{"title":"Influence of Q.C. Practices in Cement Factories in Sulaimani City on Productivity and Profitability","authors":"Dr. Yassin Mustafa Ahmed, M. H. Hassan","doi":"10.34218/ijierd.10.2.2019.001","DOIUrl":"https://doi.org/10.34218/ijierd.10.2.2019.001","url":null,"abstract":"High quality and service is a major purpose of any organizations in order to satisfy their consumers. And quality control can measure the quality of product. In fact, quality control not concern to inspection only, but it related to good technology and proper management all together. Although leadership responsibility is a great matter and needs to pay attention in the firm. Also, a vast majority of quality cost could not be control just by the manager, and cooperative working is required. Productivity and profitability are two major points that is focused on in any production system, and they highly affected by quality control. So that the current research is studying the influence of using of the quality controls program on outputs, and profitability in the cement plants in Sulaimani city. In the study questioner was spread, in it was randomly divided into four of the cement factories (Gasin, Tasluja, Delta, and Bazya) factories. And the collected data is analyzed using SPSS software. The results show that the quality control has a crucial positive influence on both productivity and profitability in the cement factories. Therefore, the factories must focus on the quality control to obtain their objectives which are high production rate and high profit. Although most employers believe that applying the principles of quality control has a significant benefit in increasing productivity and profitability, this is a clear sign of the quality control program's influence. On the other hand, less than half of the respondents believe that using the QC program is useful in cement factories to introduce new ideas and provide training.","PeriodicalId":125669,"journal":{"name":"EngRN: Quality Engineering (Topic)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127285084","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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