scholarly journals Evaluation on the Use of Plants and Equipment in Building Project Delivery in Imo State, Nigeria

2021 ◽  
pp. 21-30
Author(s):  
Uche Felix Ikechukwu
Keyword(s):  
Construction Industry ◽  
Manufacturing Industry ◽  
Survey Design ◽  
Work Productivity ◽  
Construction Process ◽  
Imo State ◽  
Work Measurement ◽  
Parametric Data ◽  
Building Project ◽  
Non Parametric

Modern construction is characterized with complex designs, new and innovative materials that are sensitive with high precision. In addressing the accompanying challenges, mechanization of construction process is said to be the guarantee especially in this era of crash programmes and advancement in technology to reduce poor workmanship and eliminate avoidable holdup in construction processes in the industry. Amidst this belief, attributes of construction industry in Imo state still reflect ineffectiveness in the use of plant and equipment. Hence, the study assesses the involvement of plants and equipment in building delivery for improved project performance. Field survey and work measurement methods were adopted to gather both non-parametric and parametric data respectively. The survey design targeted the sampled building professionals while work measurement focused on selected earth and concrete works in the area of the study. Inferential and descriptive statistical tools of Chi-square on likert scale and Comparative measurements on work activities respectively were used to analyze the respective non-parametric and parametric data. Findings show that selection of various plants are dependent on their rates of use for increased site work productivity; while the socio-economic and political issues as militating factors against effective use of plants are determined by their levels of acceptance. It was also discovered comparatively that mechanization of construction processes is more time and cost effective in building project than manual approach at work. The study therefore recommends that a systematic and holistic awareness be created by the stakeholders on the usefulness of mechanization of construction process in physical development. Besides, government should enforce construction methodology plan as a mandatory document for approval of any building plans; while frantic effort should be targeted at reviving the abandoned steel manufacturing industry at Ajeokuta, Ogun state to revolutionize the construction methodology of construction industry in Nigeria.

scholarly journals Potentials of Augmented Reality in a BIM based building submission process

2021 ◽  
Vol 26 ◽  
pp. 441-457
Author(s):  
Christian Schranz ◽  
Harald Urban ◽  
Alexander Gerger
Keyword(s):  
Augmented Reality ◽  
Construction Industry ◽  
Ar Model ◽  
Construction Process ◽  
Submission Process ◽  
Technical Content ◽  
Project Cycle ◽  
Visualization Technology ◽  
Building Project ◽  
The Impact

The digital transformation in the construction industry, which is also referred to as Construction 4.0, is gaining impact in recent years. BIM as the central point for model-based planning and communication is at the centre of this development. This paves the way for the implementation of further technologies, such as augmented reality (AR) or artificial intelligence (AI) in the construction process. However, the submission process currently receives little attention in the BIM project cycle, even though it has a significant impact on a building project. There is a huge potential for the application of BIM and AR in the building submission process. BIM allows partly automatic compliance checks to be performed. The BIM model and the results of these checks can be used as basis for the AR model. This paper investigates an application for AR in a BIM submission process. Here we show that especially the plan check process and hearings in the approval process can be improved and sped up by combining BIM and the visualization technology of AR. In this process, AR can support the building authority in checking the compliance with building regulations. Additionally, non-experts involved often have problems grasping the planned building project just based on the technical 2D plans. In this case, AR helps them to visualise the impact of the planned project and allows for better judgement. Use-cases are presented, showing strategies to improve the plan check process and assist the building authority as well as the persons involved, for both experts as well as non-experts. Finally, the requirements, technical implementations, and effects of an AR application for the plan check process are described. An AR-supported plan checking process can vastly improve the presentation of technical content. This leads to better understanding and more transparency for non-experts. Because AR is relatively easy to use, it might become ubiquitous not only to experts, but also to the general public.

scholarly journals Waste Konstruksi: Identifikasi Potensi dan Penyebabnya Pada Proyek Perumahan Di Pekanbaru

2019 ◽  
Vol 19 (2) ◽  
pp. 79-88
Author(s):  
Sapitri Ap ◽  
Firdaus Firdaus
Keyword(s):  
Social Sciences ◽  
Construction Industry ◽  
Construction Projects ◽  
Quantitative Research ◽  
Work Productivity ◽  
Primary Data ◽  
Construction Process ◽  
Sale Price ◽  
Fishbone Diagram ◽  
Glass Metal

[ID] Waste merupakan salah satu penyebab rendahnya produktivitas. Besarnya potensi waste tentu saja akan merugikan owner ataupun kontraktor. Waste pada industri perumahan dapat mempengaruhi nilai jual rumah itu sendiri. Potensi waste material yang muncul pada proses pembangunan, penting untuk diidentifikasi dan dicari penyebabnya. Tujuan dari penelitian ini adalah mengidentifikasikan waste pada industri konstruksi (proyek perumahan) beserta sumber penyebab waste tersebut. Penelitian bersifat kuantitative dan data primer dikumpulkan dengan bantuan instrument kuesioner.  Responden yang terlibat seluruhnya adalah pengawas lapangan/penanggung jawab lapangan proyek perumahan.  The Statistical Package for Social Sciences (SPSS) dan fishbone diagram digunakan sebagai alat analisis variable dan indikator penyebab waste. Secara keseluruhan, hasil identifikasi penelitian menunjukkan bahwa material yang berpotensi ditemui pada proyek pembangunan perumahan di Pekanbaru yaitu material kayu dan batu bata (berpotensi sedang), material keramik, genteng, besi beton, cat, tanah, batu, pasir dan plesteran (berpotensi rendah) dan, cardboard packaging, plastic, kaca, metal, aspal dan plafond (berpotensi sangat rendah). Terdapat beberapa variable penyebab waste. Variabel-variabel tersebut terkait dengan sumber daya yang dibutuhkan selama proses pengerjaan proyek. Sumber penyebab waste yang berkonstribusi selama proses produksi secara signifikan dipengaruhi oleh variable: alat/mesin sebesar 0.885, metode kerja sebesar 0.873, material sebesar 0.866, manpower sebesar 0.821, dan lingkungan sebesar 0.808. Satu sumber variable dapat mempengaruhi variable yang lain, sehingga sangat penting untuk memperhatikan penyebab waste agar produktivitas pekerjaan dilapangan tidak terganggu. [EN] Waste is one of the causes of low productivity. The potential of waste will certainly harm the owner or contractor. Waste in housing industry can affect the sale price of the house. The potential of material waste in construction process is important to identify and need to find its cause. The purpose of this study is to identify waste in the construction industry (housing project) along with the source of the cause of the waste. Quantitative research is conducted and primary data were collected with questionnaire as the instrument. All respondents involved were supervisor. The Statistical Package for Social Sciences (SPSS) and fishbone diagrams are used as a tool for analyzing variables and indicators of the causes of waste. Overall, the result of research identification shows that the potential material in housing construction projects in Pekanbaru, namely wood and brick material (medium potential), ceramic, roof tile, steel, paint, soil, stone, sand and plastering (low potential) and, cardboard packaging, plastic, glass, metal, asphalt and ceiling (very low potential). There are several variables that cause waste. These variables are related to the resources that needed during the construction process. The sources of waste causes that contribute during the production process are significantly influenced by variables, i.e. tools / machines at 0.885, work methods at 0.873, materials at 0.866, manpower at 0.821, and the environment at 0.808. One source of variables can affect other variables, so it is necessary to pay attention to the waste causes so that work productivity uninterrupted.

scholarly journals Waste Konstruksi: Identifikasi Potensi dan Penyebabnya Pada Proyek Perumahan Di Pekanbaru

2019 ◽  
Vol 19 (02) ◽  
pp. 79
Author(s):  
Sapitri Ap ◽  
Firdaus Firdaus
Keyword(s):  
Social Sciences ◽  
Construction Industry ◽  
Construction Projects ◽  
Quantitative Research ◽  
Work Productivity ◽  
Primary Data ◽  
Construction Process ◽  
Sale Price ◽  
Fishbone Diagram ◽  
Glass Metal

[ID] Waste merupakan salah satu penyebab rendahnya produktivitas. Besarnya potensi waste tentu saja akan merugikan owner ataupun kontraktor. Waste pada industri perumahan dapat mempengaruhi nilai jual rumah itu sendiri. Potensi waste material yang muncul pada proses pembangunan, penting untuk diidentifikasi dan dicari penyebabnya. Tujuan dari penelitian ini adalah mengidentifikasikan waste pada industri konstruksi (proyek perumahan) beserta sumber penyebab waste tersebut. Penelitian bersifat kuantitative dan data primer dikumpulkan dengan bantuan instrument kuesioner.  Responden yang terlibat seluruhnya adalah pengawas lapangan/penanggung jawab lapangan proyek perumahan.  The Statistical Package for Social Sciences (SPSS) dan fishbone diagram digunakan sebagai alat analisis variable dan indikator penyebab waste. Secara keseluruhan, hasil identifikasi penelitian menunjukkan bahwa material yang berpotensi ditemui pada proyek pembangunan perumahan di Pekanbaru yaitu material kayu dan batu bata (berpotensi sedang), material keramik, genteng, besi beton, cat, tanah, batu, pasir dan plesteran (berpotensi rendah) dan, cardboard packaging, plastic, kaca, metal, aspal dan plafond (berpotensi sangat rendah). Terdapat beberapa variable penyebab waste. Variabel-variabel tersebut terkait dengan sumber daya yang dibutuhkan selama proses pengerjaan proyek. Sumber penyebab waste yang berkonstribusi selama proses produksi secara signifikan dipengaruhi oleh variable: alat/mesin sebesar 0.885, metode kerja sebesar 0.873, material sebesar 0.866, manpower sebesar 0.821, dan lingkungan sebesar 0.808. Satu sumber variable dapat mempengaruhi variable yang lain, sehingga sangat penting untuk memperhatikan penyebab waste agar produktivitas pekerjaan dilapangan tidak terganggu. [EN] Waste is one of the causes of low productivity. The potential of waste will certainly harm the owner or contractor. Waste in housing industry can affect the sale price of the house. The potential of material waste in construction process is important to identify and need to find its cause. The purpose of this study is to identify waste in the construction industry (housing project) along with the source of the cause of the waste. Quantitative research is conducted and primary data were collected with questionnaire as the instrument. All respondents involved were supervisor. The Statistical Package for Social Sciences (SPSS) and fishbone diagrams are used as a tool for analyzing variables and indicators of the causes of waste. Overall, the result of research identification shows that the potential material in housing construction projects in Pekanbaru, namely wood and brick material (medium potential), ceramic, roof tile, steel, paint, soil, stone, sand and plastering (low potential) and, cardboard packaging, plastic, glass, metal, asphalt and ceiling (very low potential). There are several variables that cause waste. These variables are related to the resources that needed during the construction process. The sources of waste causes that contribute during the production process are significantly influenced by variables, i.e. tools / machines at 0.885, work methods at 0.873, materials at 0.866, manpower at 0.821, and the environment at 0.808. One source of variables can affect other variables, so it is necessary to pay attention to the waste causes so that work productivity uninterrupted.

Ontology-Based Interorganizational Knowledge Management in Sustainable Construction Project

2011 ◽  
Vol 243-249 ◽  
pp. 6339-6343
Author(s):  
Guang Bin Wang ◽  
Gui You He ◽  
Li Bian
Keyword(s):  
Knowledge Management ◽  
Construction Industry ◽  
Negative Impact ◽  
Sustainable Construction ◽  
Construction Process ◽  
Application Process ◽  
Process Ontology ◽  
Knowledge Intensive ◽  
Traditional Construction ◽  
Industry Needs

Due to the great negative impact, the construction industry needs to undergo a paradigm shift from traditional construction to sustainable construction. To reach the goal of sustainable development, the construction industry needs to intensify its efforts to move to a knowledge intensive mode. Based on the analysis of e-Cognos and the concept of ontology, this paper proposes that e-Cognos ontology can be applied in the development of sustainable construction process ontology, which is a key part of knowledge management system (KMS). Following this, the application process of ontology-based KMS is analyzed using IDEF0 modeling method. Finally, this paper analyzes interorganizational collaboration model in sustainable project.

The Researches on the Green Construction Model of the Steel Building System of Residence Project

2011 ◽  
Vol 52-54 ◽  
pp. 773-776
Author(s):  
Wei Chen ◽  
Li Jie Duan ◽  
Yu Chun Cai
Keyword(s):  
Construction Industry ◽  
Manufacturing Industry ◽  
Steel Structure ◽  
Suitable Model ◽  
Green Construction ◽  
Steel Building ◽  
Project Construction ◽  
Building System ◽  
Construction Model ◽  
Different Levels

The steel building system of residence project has more advantage in environment protection and project management than the traditional residence project construction. The main steel structure residence components can be manufactured in the green construction base as the manufacturing industry. The key issue to realize the green construction model of steel building system of residence project is to apply with a suitable model of green construction base. This paper introduced four types of green construction base which are different levels related with project, enterprise, industry and region to combine construction industry with manufacturing. The TOPSIS method was applied to evaluate and analyze to figure out the optimization model of green construction base in steel building system of residence project.

scholarly journals Order Picking and E-Commerce: Introducing Non-Parametric Efficiency Measurement for Sustainable Retail Logistics

2021 ◽  
Vol 16 (4) ◽  
pp. 846-858
Author(s):  
Matthias Klumpp ◽  
Dominic Loske
Keyword(s):  
Goodness Of Fit ◽  
New Technologies ◽  
Order Picking ◽  
Free Disposal Hull ◽  
Free Disposal ◽  
Efficiency Assessment ◽  
Parametric Data ◽  
Proposed Model ◽  
Dea Models ◽  
Non Parametric

Order picking is a crucial but labor- and cost-intensive activity in the retail logistics and e-commerce domain. Comprehensive changes are implemented in this field due to new technologies like AI and automation. Nevertheless, human worker’s activities will be required for quite some time in the future. This fosters the necessity of evaluating manual picker-to-part operations. We apply the non-parametric Data Envelopment Analysis (DEA) to evaluate the efficiency of n = 23 order pickers processing 6109 batches with 865,410 stock keeping units (SKUs). We use distance per location, picks per location, as well as volume per SKU as inputs and picks per hour as output. As the convexity axiom of standard DEA models cannot be fully satisfied when using ratio measures with different denominators, we apply the Free Disposal Hull (FDH) approach that does not assume convexity. Validating the efficiency scores with the company’s efficiency assessment, operationalized by premium payments shows a 93% goodness=of-fit for the proposed model. The formulated non-parametric approach and its empirical application are promising ways forward in implementing empirical efficiency measurements for order picking operations within e-commerce operations.

Total Quality Management Benefits and Barriers in Construction Industry

2021 ◽  
Vol 11 (1) ◽  
pp. 193-199
Author(s):  
Rasha A. Al Salihi ◽  
Redvan Ghasemlounia
Keyword(s):  
Quality Management ◽  
Total Quality Management ◽  
Construction Industry ◽  
Improve Quality ◽  
Total Quality ◽  
Industry Growth ◽  
Continual Improvement ◽  
Full Participation ◽  
Industry Success ◽  
Building Project

The building sector is playing an important part Major factor in any country's development. The Construct industry growth depends on Building project efficiency. Quality is one thing Important factor in construction industry success in this paper the problems of quality definition in the construction industry are discussed, analysis potential advantages of quality implementation and considers quality barriers to Building implementation. Many implementing obstacles. We identify recent patterns that could lead to the Invade barriers. However, the various building actors must Know that improvement is necessary for the construction industry to improve quality TQM is specifically designed to deliver excellence in customer satisfaction by continual improvement full participation of product and processes every person who is a part of dedication that product/process. It's an orchestrated approach enhancement. If implemented correctly, it will support the Company of construction to boost its efficiency.

scholarly journals Non-Parametric Analysis of Efficiency: An Application to the Pharmaceutical Industry

Mathematics ◽  
2020 ◽  
Vol 8 (9) ◽  
pp. 1522
Author(s):  
Ricardo F. Díaz ◽  
Blanca Sanchez-Robles
Keyword(s):  
Pharmaceutical Industry ◽  
Small Firms ◽  
Medium Size ◽  
Data Envelopment ◽  
Parametric Data ◽  
Research Specialization ◽  
Main Activity ◽  
The Cost ◽  
Different Characteristics ◽  
Non Parametric

Increases in the cost of research, specialization and reductions in public expenditure in health are changing the economic environment for the pharmaceutical industry. Gains in productivity and efficiency are increasingly important in order for firms to succeed in this environment. We analyze empirically the performance of efficiency in the pharmaceutical industry over the period 2010–2018. We work with microdata from a large sample of European firms of different characteristics regarding size, main activity, country of origin and other idiosyncratic features. We compute efficiency scores for the firms in the sample on a yearly basis by means of non-parametric data envelopment analysis (DEA) techniques. Basic results show a moderate average level of efficiency for the firms which encompass the sample. Efficiency is higher for companies which engage in manufacturing and distribution than for firms focusing on research and development (R&D) activities. Large firms display higher levels of efficiency than medium-size and small firms. Our estimates point to a decreasing pattern of average efficiency over the years 2010–2018. Furthermore, we explore the potential correlation of efficiency with particular aspects of the firms’ performance. Profit margins and financial solvency are positively correlated with efficiency, whereas employee costs display a negative correlation. Institutional aspects of the countries of origin also influence efficiency levels.

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