scholarly journals Construction Material Management through Inventory Control Techniques

2018 ◽  
Vol 7 (3.12) ◽  
pp. 899
Author(s):  
V RathinaKumar ◽  
K Lalitha Priya ◽  
Prasanna Kumar.I ◽  
C Ravekumar

Objectives: A research has shown that the construction materials account for more than 55%-60% of the total expenditure of a project. Efficient material planning plays a major role in the successful handing over of a project within the estimated cost and schedule. Methods: This paper mainly focuses on materials planning and inventory control as these are the major aspects of material management. S-curve analysis is performed to measure the fluctuation between estimated materials cost and market materials cost. The major reasons for this are identified by interviewing engineers and contractors. Inventory control techniques such as ABC classification as well as EOQ analysis are conducted. Findings: The result of the S-curve analysis show that the actual materials cost is higher than the planned materials cost in most cases. ABC and EOQ analysis are applied to maintain sufficient stock in inventory and any given point of time, to protect the materials in the inventory against damages, to reduce inventory holding costs, to overcome stock-out problems and to maintain the inventory in an optimal level. Sensitivity check is applied to the results of EOQ analysis. The stock-out of A class and B class material problems faced in the  construction site can be reduced by  the application of ABC classification and BOQ analysis. The total expenditure of inventory is less after the adoption of these simple inventory control techniques.  Conclusion: Instead of using costly software for inventory management, the engineers and contractors may use these simple inventory control techniques which are equally beneficial and economical.   

2020 ◽  
Vol 4 (2) ◽  
pp. 27
Author(s):  
Kwambai Mercy Jelagat ◽  
Dr. Samson Nyang’au Paul

Purpose: The purpose of the study was to determine the effects of inventory management on the performance of state corporations in Kenya with an aim of making recommendations.Methodology: The study employed a descriptive research design. The researcher preferred this method because it allows an in-depth study of the subject. Data was collected using self-administered questionnaires. The study employed stratified random sampling technique in coming up with a sample size. Pilot study was carried out to establish the validity and reliability of the research instruments. The instruments were designed appropriately according to the study objectives. The data collected was analyzed by use of descriptive and inferential statistics. The study used multiple regression and correlation analysis to show the relationship between the dependent variable and the independent variables. The data generated was keyed in and analyzed by use of Statistical Package of Social Sciences (SPSS) version 24 to generate information which was presented using charts, frequencies and percentagesResults and conclusion: The regression equation above has established that taking all factors into account (inventory categorization, inventory control techniques, information technology integration and demand and supply forecasting) constant at zero, performance of state corporations in Kenya will be an index of 0.817.The findings presented also shows that taking all other independent variables at zero, a unit increase in inventory categorization will lead to a 0.537 increase in performance of state corporations in Kenya. The P-value was 0.000 which is less 0.05 and thus the relationship was significant. The study also found that a unit increase in inventory control techniques will lead to a 0.097 increase in performance of state corporations in Kenya. The P-value was 0.002 and thus the relationship was significant. In addition, the study found that a unit increase in information technology integration will lead to a 0.067 increase in the performance of state corporations in Kenya. The P-value was 0.000 and thus the relationship was significant. Lastly, the study found that a unit increase in demand and supply forecasting will lead to a 0.08 increase in the performance of state corporations in Kenya. The P-value was 0.001 and hence the relationship was significant since the p-value was lower than 0.05. The findings of the study show that, inventory categorization contributed most to the performance of state corporations in Kenya. The findings of the study indicated that; safety stock management, inventory control techniques, information technology integration and demand and supply forecasting have a positive relationship with performance of state corporations.Unique contribution to theory, policy and practice: Finally, the study recommended that public institutions should embrace inventory optimization practices so as to improve their performance and further researches should to be carried out in other public entities to find out if the same results can be obtained.


2018 ◽  
Vol 7 (3.10) ◽  
pp. 36
Author(s):  
T Subramani ◽  
T Suresh Kumar

Building Construction materials adopted 50% of cost from the total estimation of the project. Estimated Cost and planned schedule can be achieved by effective material management. The project team must be understood the goals and efficient material management techniques for successful project execution. A well planned material management possible by on time delivery and equipment to the job site and improved workforce planning increased labor productivity, planned schedules and minimum cost. Questionnaire were prepared for data analysis based on Likert’s scale 25 respondents were answered the questionnaire. Collected data analyzed using SPSS.To reveal the respondents responses for enhance the analysis results used there are Frequency analysis, Factor analysis, and reliability analysis. Results will be obtained and also recommendations will be suggested.   


2019 ◽  
Vol 46 (10) ◽  
pp. 909-923
Author(s):  
Farzaneh Golkhoo ◽  
Osama Moselhi

Construction material represents a major component of the project cost. Therefore, it is essential to control material on construction job sites. Efficient material management system requires trade-offs and optimized balance among elements of material cost including purchase cost, storage cost, opportunity cost, ordering cost, and unavailability cost. Thus, there is a need to develop an automated method for optimizing the delivery and inventory of construction materials not only in the planning phase but also in the construction phase to account for introduced changes. In this research a novel genetic algorithm – multi-layer perceptron (GA-MLP) method is proposed to generate optimized material delivery schedule. Multi-layer perceptron (MLP) is utilized to improve genetic algorithm (GA) by generating memory to overcome local minima encountered in applying GA for optimization. This automated method supports contractors to buy construction materials with the least cost and without leading to material shortage or surplus. The proposed automated method has been validated through a numerical example. The obtained results demonstrate that GA-MLP outperform GA in optimizing construction material inventory.


Author(s):  
Meenakahi kumari Meenakshi

Inventory management in Indian steel industry is felt as one of the unexplored area in terms of research practices. This study attempts to understand the major aspects of inventory management of Indian steel industry like major inventory management issues prevalent in steel firms, and impact of these issues, drivers, barriers, and possible measures that may help to resolve these issues. This study is based on an exploratory qualitative study of major Indian steel firms. The narratives reveal six major themes: Inventory management practices; Inventory issues in the steel industry; Major drivers for effective inventory management in Indian steel industry; Major barriers for the implementation of effective inventory management techniques including the implementation of ERP/MRP to manage inventories; Impact of inventory issues; Inventory control techniques to resolve these issues.   


2019 ◽  
Vol 4 (1) ◽  
pp. 63
Author(s):  
Dian Friana Hidayat ◽  
Ossa Sutaarga ◽  
Akhmad Fakhrurozi

This research was conducted at a company that produces paints such as wall paint, tile paint, floor paint, steel construction paint and many other types of paint. In addition to these types of paint, color and size are additional factors that cause high product variants. Inventory management with ABC analysis is very necessary to control a number of inventories by taking into account the value of the investment. Based on company conditions and literature, the purpose of this study is to be able to classify inventory in the company and be able to determine inventory control based on ABC classification. The research method is divided into four stages, namely data formulation, data collection, data processing, and analysis and conclusions. Data processed is in 2016, available product variants are 941 items with a total product value of Rp 15,477,094,182.00. The results of ABC analysis are 124 product items or 13.18% A class, 211 product items or 22.42% B class, and 606 product items or 64.40% C class of the total number of products available.Key words :  Paint, Inventory Control, ABC Classification


Author(s):  
Uche Felix Ikechukwu

Cost reduction measure on construction materials is very critical in the effectiveness of any construction material management. Negligence on this frustrates the integrated effort deployed in cost control of any building project. As the study aims at assessing the impact of some building material cost reduction strategies with regard to their sourcing, applications and designs for affordable houses, field survey research design method and activity sampling involving some of the major building materials were adopted. Data were analyzed using some non parametric tools like likert scale and chi-square to rank the level of effectiveness of the various materials’ cost reduction measures in the industry. It was also used to determine the impact level of the material management on the overall cost of the materials used in the construction of public building in Owerri. Spearman rank correlation coefficient was also used to examine the strength of relationship between the two major sources of the information.  Findings in the study reveal that local sourcing of materials is the most significant method of material management in cost reduction. Other methods in their order of significance for cost reduction are quality assurance, economic design and specification, and on-site production of materials. The various percentage cost effects however are found to be significantly dependent on the methods of material management adopted for the materials’ cost reduction in the study. It is therefore recommended that an effective legislative back-up be instituted with a very strong awareness on the need for robust development of local construction material resources, as well as advocate for more practical contact hours on the stressed areas in the appropriate curriculum of the building profession in all the tertiary institutions in Nigeria. Finally, appropriate checklist/indices for check-mating quality assurance on professional personnel and materials schedules; as well as enforcement of ‘buildability’ and maintainability analyses of building projects should be encouraged in the study area.


Author(s):  
Dan Xin

With the improvement of construction demand and the reduction of land price, the construction of all kinds of buildings has become the current development trend in addition to the need for housing. Whether it is a large commercial center, office or landmark building, its construction materials in addition to enhancing the performance, but also to build an automated and effective material management system. This paper studies the design and implementation of the construction material management scheme based on RFID technology, hoping to improve the management system and improve the management efficiency through the application of RFID technology.


Author(s):  
Ashika M ◽  
Monisha V

Material management is a critical component of the construction industry. The goal of materials management is to insure that construction materials are available at their point of use when needed. A proper implemented material management program can achieve the timely flow of materials and equipment to the jobsite, and thus facilitate improved work face planning, increased labour productivity, scheduling and minimize the cost. Material management is an important function in order to improve productivity in construction project. It is defind materials management function which take off, vendor evaluation and selection , purchasing, expenditure, shipping, material receiving, where housing and inventory, and material distribution. In this project we have prepare scheme of material management in the construction industry for building project also conducting survey of industry and determine the various format for construction material management. In conclusion the wastage of material, control cost of material and time should be analyzed by using inventory management system.


Author(s):  
Mir Mohammed Junaid Basha ◽  
Navya V.S ◽  
Sonali Tukaram Wani ◽  
Prof. Vivekanand S Gogi

The study uses the inventory audit procedure to improve the inventory status of pharmaceuticals by selective inventory control techniques. Pharmaceuticals are vital sectors of medical industry, but because of the current situation, of COVID-19 Pandemic, there is a lot of reduction in capsule production, many of the pharmaceutical industries have rejected orders due to shortage of medicinal products during lockdown. This study uses systematic evaluation, statistical methods, Fuzzy logic, ABC-VED, EOQ, JIT etc. based on these methods the classification of various models for pharmaceutical inventory are incorporated. This also summarizes some of the case studies conducted based on the annual expenditure with ABC classification in the pharmaceuticals. The basic aim is to identify and improve the problems of inventory management by proposing a timely correct analysis. In this study, all methods that are primarily used in the inventory management of drug handling are reviewed and the best methods have been suggested that, when combined and applied in an automated environment, they can help to keep the inventory at an optimum level.


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