Material Allocation Research Articles

Endmember Learning with K-Means through SCD Model in Hyperspectral Scene Reconstructions.

This paper proposes a simple yet effective method for improving the efficiency of sparse coding dictionary learning (DL) with an implication of enhancing the ultimate usefulness of compressive sensing (CS) technology for practical applications, such as in hyperspectral imaging (HSI) scene reconstruction. CS is the technique which allows sparse signals to be decomposed into a sparse representation “a” of a dictionary . The goodness of the learnt dictionary has direct impacts on the quality of the end results, e.g., in the HSI scene reconstructions. This paper proposes the construction of a concise and comprehensive dictionary by using the cluster centres of the input dataset, and then a greedy approach is adopted to learn all elements within this dictionary. The proposed method consists of an unsupervised clustering algorithm (K-Means), and it is then coupled with an advanced sparse coding dictionary (SCD) method such as the basis pursuit algorithm (orthogonal matching pursuit, OMP) for the dictionary learning. The effectiveness of the proposed K-Means Sparse Coding Dictionary (KMSCD) is illustrated through the reconstructions of several publicly available HSI scenes. The results have shown that the proposed KMSCD achieves ~40% greater accuracy, 5 times faster convergence and is twice as robust as that of the classic Spare Coding Dictionary (C-SCD) method that adopts random sampling of data for the dictionary learning. Over the five data sets that have been employed in this study, it is seen that the proposed KMSCD is capable of reconstructing these scenes with mean accuracies of approximately 20–500% better than all competing algorithms adopted in this work. Furthermore, the reconstruction efficiency of trace materials in the scene has been assessed: it is shown that the KMSCD is capable of recovering ~12% better than that of the C-SCD. These results suggest that the proposed DL using a simple clustering method for the construction of the dictionary has been shown to enhance the scene reconstruction substantially. When the proposed KMSCD is incorporated with the Fast non-negative orthogonal matching pursuit (FNNOMP) to constrain the maximum number of materials to coexist in a pixel to four, experiments have shown that it achieves approximately ten times better than that constrained by using the widely employed TMM algorithm. This may suggest that the proposed DL method using KMSCD and together with the FNNOMP will be more suitable to be the material allocation module of HSI scene simulators like the CameoSim package.

Evaluating the Efficiency of Emergency Material Allocation in Marine Transit Network

Zhang, L; Dong, B., and Zhou, H., 2019. Evaluating the efficiency of emergency material allocation in marine transit network. In: Gong, D.; Zhu, H., and Liu, R. (eds.), Selected Topics in Coastal Research: Engineering, Industry, Economy, and Sustainable Development. Journal of Coastal Research, Special Issue No. 94, pp. 432–436. Coconut Creek (Florida), ISSN 0749-0208.The allocation of emergency material is an important support and guarantee for the emergency management of Marine transit. When accident happens in the marine transit system operated through network, the spread effect is more obviously, which requires quick and effective response. Therefore, the scientific and reasonable allocation of emergency material is crucial. Based on the analysis of the current allocation of emergency material, this paper determines the evaluation index of allocating emergency material, establishes an evaluation model by using the DEA method, and applies it in the practical case with good results.

An Optimal Distribution Model of Emergency Materials Based on Disaster Weather

Effective support of emergency materials is a necessary prerequisite for post-disaster emergency rescue. The transportation and distribution of post-disaster emergency materials includes two stages: from storage warehouses and material distribution centers outside the disaster area to emergency distribution centers outside the disaster area, and from emergency distribution centers to rescue points in the disaster area. Emergency material support has the characteristics of urgent demand and relative shortage of materials. Especially, the transportation of materials from supply points outside the disaster-stricken areas to emergency material distribution centers, along the way, affected by the actual traffic capacity and meteorological conditions, will have a significant impact on the efficient distribution of emergency materials. This paper deals with the optimization of transportation allocation from emergency material supply points to emergency material distribution centers in the periphery of disaster areas. Based on the factors affecting transportation efficiency such as road resistance parameters, attenuation coefficient, and disaster intensity, an optimal allocation model of emergency materials is established, which minimizes the sum of transportation cost, construction cost of distribution center, and penalty cost of transportation time. The validity and feasibility of the model are analyzed and studied by an example. The experimental results show that the attenuation coefficient of the transportation line and the disaster intensity of the road section have important influence on the emergency material allocation scheme. The emergency material allocation scheme formulated by the optimization model is scientific and reasonable.

Supporting classroom orchestration with real-time feedback: A role for teacher dashboards and real-time agents

This paper investigates the role of the physical classroom environment, coupled with a technology environment that includes real-time agents and data analytics, to support the orchestration of complex collaborative inquiry designs in a high school physics classroom. This design-based research contributes to the wider domain of scripting and orchestration (e.g., Dillenbourg 2012; Dimitriadis 2012; Fischer et al. 2013). Guided by a theoretical perspective of learning in knowledge communities (Slotta et al., 2018), we partnered with a physics teacher to co-design curricular activities and assessments that engaged students in collectively solving, tagging and evaluating physics problems, creating a knowledge base of student-contributed examples, and using those examples as a resource in collaborative inquiry challenges. To support the teacher in orchestrating such a complex curricular design, we developed a tablet application that allowed the teacher see the state of the class in real-time, control the flow of activities and helped him know when and where he was needed within the flow of class activities. The tablet leveraged a set of specially designed real-time software agents to process student interactions in real time, allowing dynamic orchestration of student groups, material allocation, and teacher notifications. The paper begins with a review of recent literature on scripting and orchestration, drawing connection to the theoretical perspective of knowledge communities. We then describe our theoretical model, the design-based method, and details of our curriculum and technology environment. The paper concludes with a summary of how the teacher tablet and the real-time software agents helped support the teacher’s real-time facilitation and orchestration.

Reducing Down time for Engine Block Washing Machine

The machine down time and decrement in the production rate are due to the frequent setup changes done in the industrial machines. This is about detection and elimination of setup change-over in H-Series engine cylinder block washing machine in industry. Unlike the cylinder block of these engines, the design of both BS3 and BS4 type block is almost symmetrical which results in wrong loading of component in the machines. A detailed study of the design and the machining provides significant details on loading and unloading time. Considering the pros and cons of these ideas we finalized and implemented ideas such as Guide plate design change-over, Safety stoppers for doors and Design and material allocation for Roller, Shaft and Bush which was successful. This report covers the detailed study of the industrial washing machine, the ideas explored to overcome defects and the final ideas which were implemented.

A multi-objective robust supply chain design considering reliability

ABSTRACTThis paper designed a four-echelon supply chain network consist of suppliers, manufacturers, distributors and customers. Here, the allocation of raw materials and products is subject to random disruptions based on weather conditions, natural events, and ownership changes. This is an unprecedented research to simultaneously consider the parameters uncertainty and reliability of the components in a dynamic chain with multiple products. The model is a multi-objective mixed integer linear programming into which the uncertainty is incorporated by using the robust optimization. The model seeks to minimize the network’s costs while the both manufacturer and customer satisfaction are maximized. To solve the model, three multi-objective decision-making methods are investigated and the best method is selected according to its performance in several examples. Also, suppliers and distributors with the highest reliability are obtained which, it enables managers to make the proper decision on both strategic and operational levels of their firms’ policies.

Scientific Challenges in Performing Life-Cycle Assessment in the Food Supply Chain.

This paper gives an overview of scientific challenges that occur when performing life-cycle assessment (LCA) in the food supply chain. In order to evaluate these risks, the Failure Mode and Effect Analysis tool has been used. Challenges related to setting the goal and scope of LCA revealed four hot spots: system boundaries of LCA; used functional units; type and quality of data categories, and main assumptions and limitations of the study. Within the inventory analysis, challenging issues are associated with allocation of material and energy flows and waste streams released to the environment. Impact assessment brings uncertainties in choosing appropriate environmental impacts. Finally, in order to interpret results, a scientifically sound sensitivity analysis should be performed to check how stable calculations and results are. Identified challenges pave the way for improving LCA of food supply chains in order to enable comparison of results.

Indicadores de gestão do ensino técnico federal e sua correlação com eficiência acadêmica: uma análise da relação entre o desempenho discente e os investimentos ocorridos com a política pública de expansão dos institutos federais da região Nordeste entre 2012 e 2016

The creation of the Federal Institutes of Education, Science and Technology (IFEs), as a public policy for the expansion of technical and technological education, has led to an exponential increase in the resources applied to them. In order to monitor the performance and evaluation of results regarding the allocation of material and human resources, the Federal Audit Office (TCU) established academic indicators that express the results of the expansion of supply and improve the efficiency and effectiveness of federal institutes of professional education. The objective of this article is to analyze, in the Federal Institutes of the Northeast Region between the years of 2012 and 2016, the correlation between the Academic Efficiency Rate of the graduating students - quality indicator that measures the capacity to achieve success among the students that finish the courses - and the other management indicators established since 2005 by the TCU for the Institutions of the Federal Professional and Technological Education Network - EPCT. As for the methodology, the qualitative-quantitative analysis was used to better meet the research objective, which leads to the appreciation of measurable numerical data, without interfering with the analysis of motivational and interpretative factors. The results showed that there is no relation between the Quality Indicator of the Academic Efficiency of Graduating students and the management indicators established by the TCU in the sample analyzed.

Measuring and Achieving Equity in Multiperiod Emergency Material Allocation.

Emergency material allocation is an important part of postdisaster emergency logistics that is significant for improving rescue effectiveness and reducing disaster losses. However, the traditional single-period allocation model often causes local surpluses or shortages and high cost, and prevents the system from achieving an equitable or optimal multiperiod allocation. To achieve equitable allocation of emergency materials in the case of serious shortages relative to the demand by victims, this article introduces a multiperiod model for allocation of emergency materials to multiple affected locations (using an exponential utility function to reflect the disutility loss due to material shortfalls), and illustrates the relationship between equity of allocations and the cost of emergency response. Finally, numerical examples are presented to demonstrate both the feasibility and the usefulness of the proposed model for achieving multiperiod equitable allocation of emergency material among multiple disaster locations. The results indicate that the introduction of a nonlinear utility function to reflect the disutility of large shortfalls can make the material allocation fairer, and minimize large losses due to shortfalls. We found that achieving equity has a significant but not unreasonable impact on emergency costs. We also illustrate that using differing utility functions for different types of materials adds an important dimension of flexibility.

Part segregation based on particle swarm optimisation for assembly design in additive manufacturing

ABSTRACTMinimising total production time in the additive or layered manufacturing is a critical concern, and in this respect, the idea of balancing assembly time and build time is rapidly gaining research attention. The proposed work intends to provide benefit in terms of reduced lead time to customers in a collaborative environment with simultaneous part printing. This paper formulates a mixed-integer non-linear programming (MINLP) model to evaluate the near optimal threshold area and support material allocation while segregating parts for a single material additive manufacturing set-up. The resulting time minimisation model is finitely bounded with respect to support material volume, total production time and total assembly cost constraints. A novel swarm intelligence-based part segregation procedure is proposed to determine the number of part assemblies and part division scheme that adheres to cross-sectional shape, cross-sectional area, and height restrictions. The proposed approach is illustrated and evaluated for objects with regular as well as free-form surfaces using two different hypothetically simulated real size 3D models. Results indicate that the proposed approach is able to reduce the total amount of manufacturing time in comparison with single part build time for all the tested cases.

Optimization of Maritime Emergency Materials Allocation Based on Network Reliability

ABSTRACT Wang, W.; Huang, L., and Zhang, X., 2018. Optimization of maritime emergency materials allocation based on network reliability. In: Liu, Z.L. and Mi, C. (eds.), Advances in Sustainable Port and Ocean Engineering. Journal of Coastal Research, Special Issue No. 83, pp. 691–696. Coconut Creek (Florida), ISSN 0749-0208. A scientific allocation of maritime emergency materials is the groundwork for an early realization of maritime emergency logistics. This paper sets out to put forward a definition and measure approach for the network reliability of maritime emergency logistics in consideration of its connotation and influencing factors, and to build, with “minimum amount of goods in short” and “minimum transportation costs” as its goals, a multi-objective optimization model for maritime emergency materials allocation and put in use the planning means for solutions. Results from case-calculation with the help of LINDO software shows that the allocation plan generated by the multi-objective model can li...

Applications of GIS for Bridges Maintenance Service

AThe Bridge Maintenance Management System (BMMS) is an application system that uses existing data from a Bridge Management System database for monitoring and analysis of current bridges performance, as well as for estimating the current and future maintenance and rehabilitation needs of the bridges. In a transportation context, the maintenance management is described as a cost-effective process to operate, construct, and maintain physical money. This needs analytical tools to support the allocation of resources, materials, equipment, including personnel, and supplies. Therefore, Geographic Information System (GIS) can be considered as one tool to develop the road and bridge maintenance management system.This research aims to use GIS to create a database for bridge maintenance system. Two study areas have been chosen: the old construction bridge (Al-Qadisiyah) and the newly constructed bridge (Barboty). Both of them are in Al-Muthanna city\\Iraq. The creation of database was based on field surveying data. In order to monitor the damages and decline of the bridges, four periodically observations have been achieved. The first analysis of the observations was conducted by graphical analysis which gave the results between all the observations. The second part of analysis included the process of documenting the cracks observed in both study areas via hyperlink tool. This tool can display each of the bridge cracks in the form of window that contains full information for each crack such as, photo of the crack, station number of the crack, coordinates of the crack, type of crack, the crack description, and risk levels of the crack. This information may help to save cost, time and effort to decision makers in the relevant institutions.

Constructal enhancement of thermal transport in metal foam-PCM composite-assisted latent heat thermal energy storage system

The aim of this study is to augment thermal transport in latent heat thermal energy storage (LHTES) system by the optimum allocation of metal foam-phase change material (PCM) composite. This study emphasizes on the optimal volume and distribution of metal foam-PCM composite (MFPC) to enhance melting performance without delay in the total melting time. Therefore, a MFPC is designed according to constructal theory. The fundamental principle of the theory is to configure high thermal conductivity agents at optimal thermal energy flow path for effective heat exchange. A numerical code based on local thermal nonequilibrium approach equipped enthalpy porosity method is formulated, and evaluated. The results of the proposed configuration show that the provision of MFPC only at high local temperature gradient enhances the conductive transport with improvement in the overall thermal transport. It is derived that the elimination of metal foam volume at low temperature gradient incorporates the advantageous effect of natural convective transport, which is seen to be suppressed. Additionally, the proposed configuration may increase the volume of PCM, thus, the TES capacity. It also reduces the total weight and economy of energy storage system. The overall melting rate is improved by 11.11% in comparison with the LHTES with full volume of this high thermal conductivity agent.

The Role of Counseling Service Center and Its Implementation in Madda Walabu University: Qualitative Research

Background: University students often face challenges to adjust to a new environment. The challenges include: - adjustment to university, peer groups, and new academic atmosphere. These challenges possibly lead students to personal crisis, emotional disturbance, stress, and academic failure. Counseling service can help mitigate adjustment problem facing university students. The main objective of this study is to identify the roles of counseling service center and its implementation in Madda Walabu University (MWU).Methods: Explorative qualitative research was conducted on Madda Walabu University (MWU) students’ counselor and concerned management bodies in March 2016. Accordingly, four management bodies; the President, the Academic Vice President, the Student Dean and Student Counselor were purposefully selected for in-depth interview. Besides, international, national and organizational documents were analyzed on thematic basis.Results: Result of study showed that the counseling center of MWU lacked intra-organization network, administrative independence and autonomy. Besides, the service providers were not counselors by profession; the center did not have network with relevant domestic and international organizations, and there was poor client data base management. In addition, MWU counseling center fell short to meet national and international standards.Conclusion: There is increased need for counseling service in university. Standardization of counseling service center, allocation of sufficient materials and human resources, collaboration with relevant bodies is needed to improve the role and practice of the center. Lastly, the importance of crisis interventions, professional development, and academic skills training are recommended to be included under the functions of the center.

On the Optimal Allocation of Earthwork in Railway Subgrade Based on Green Construction

As a traditional high energy consumption industry, green railway construction is of great significance for the sustainable development of civil engineering. Earthwork allocation is an important part of railway construction, which determines the quality, safety, cost, and duration of construction. In order to ensure the quality and safety of the project and protect the ecologically fragile area in Northwest China, the quality safety cost and the resource and environmental cost are introduced, and the optimal earthwork allocation model based on the quality-cost-construction period is established. In order to realize the unification of index information quantity and value quantity, the weighted least squares method is used to determine the index weight. Then, the adaptive differential evolution algorithm is used to solve the multi-objective optimization model, and the optimal material allocation scheme is obtained. Finally, an example is given to illustrate the effectiveness of the model and algorithm.

A MULTI-OBJECTIVE OPTIMIZATION MODEL TO SUPPORT THE MUNICIPAL SOLID WASTE MANAGEMENT

This study aims to define a municipal Solid Waste Management (SWM) strategy using Multi-objective Optimization Problem (MOP) and ELECTRE method. Four waste treatment technologies were considered: recycling, composting, incineration and landfilling. Firstly, a Multi-objective Linear Programing (MOLP) model was developed. The solutions obtained from this model were ranked using the ELECTRE method. It was considered as case study a hypothetical city of 1,000,000 of inhabitants, presenting the average Brazilian waste per capita generation and composition. The results indicate 21 optimal solutions. The top ranked solution presents a combination of all the technologies considered. This solution presents the following waste allocation: 51.4% composted, 18.4% recycled, 16.7% landfilled and 13.5% incinerated. A sensitivity analysis was carried out by varying waste composition and criterion weights. The waste composition sensitivity was evaluated by substituting the average waste characteristics of Brazil to Europe, Japan and USA ones. The sensitivity analysis indicates that the ranking of solutions was very sensitive to waste composition changes and low sensitive to the variation of criterion preferences. Thus, although the MOP model presented is a simple approach for SWM when compared with other literature models, it shows to be efficient. The proposed model is able to decide between the trades-off related with the material allocation.

Multi-Level and Generic Decisional Model for E-Governance Applications in the Educational Field

This article presents the mechanisms to create a generic platform for decision makers to implement rapid management models,with a multi-scale and multi-level stratification of education, including basic education, secondary and higher education, whileminimizing the risk of errors, so as to increase their efficiency in the governance field. We will identify beforehand the variousactive and passive element involved in an education system, considered here as the model levels and the various interactionsbetween them. Then we list the specific objectives considered in the model. We will build on the analysis and knowledgemanagement techniques to develop a multi-level decision model incorporating levels and expected or desired objectives for better decision making. This work will help to solve the difficulties that governments sometimes face in optimizing and taking decision making regarding construction of schools or universities with possibly building of a platform for e-learning in various localities, assignment of teachers or non-teaching staff in an institution, training of these as needed, allocation of teaching materials, benches and laboratory equipment. It is for us to truly put technology at the service of governance in education, and development in general.

Особенности атлымской керамики Сургутского Приобья (по материалам городища Стрелка)

The Atlym culture was singled out by E. A. Vasilyev on the materials of the ancient fort of Maly Atlym 1. The researcher dated it as 12–13th centuries BC and identified two chronological stages in its existence (12–10th and 10–8th centuries BC), which corresponded to two types of ceramics different in the form of vessels and ornamentation. In this article we consider some features of the Atlym culture ceramics of the Late Bronze Age based on the materials of the multilayered fort of Strelka located in the basin of the Bol’shoi Yugan River. Remains of the Late Bronze Age structure were found on the site of the ancient fort. The cultural layer associated with the construction of the Late Bronze Age was preserved on a small stretch between the Medieval moat and an additional rampart at the periphery of the site of the settlement. It is blocked by a rampart of an ancient Iron Age fort and the soil removed from the Medieval moat. During the five years of excavations, the most representative collection amongst the well-known Atlym collections in terms of the quantity of items has been gathered on this site. Purpose. We aimed at checking a working hypothesis about the existence of several groups within the ceramic complex using the methods of factor analysis and determining the place of the Late Bronze complex of the Strelka fort among Atlym sites. Results. Statistical analysis of the material revealed three stable characteristic groups where the type of the vessel profile is associated with a certain set of dies, the method of applying and arranging the ornament. Two roughly equal groups of Atlym ceramics of type II (according to Е. А. Vasilyev) and a small group of vessels attributed to the Gamayun culture, which was widespread in the Trans-Ural area during the transition from the Bronze Age to the Iron Age in the 10–4th centuries BC, are distinguished in the complex. Our analysis of the material allocation in the layer showed a lack of significant differences in the occurrence of all ceramics groups. Similar groups were identified in the settlement Yendyrskoye VIII (the Atlym culture, 10–8th centuries BC) in the Lower Ob River area, where they also existed simultaneously. Such groups were not singled out on the other Atlym sites. Conclusion. The two parallel traditions in the Atlym pottery manufacture are established based on the materials from the Strelka site. The Late Bronze complex of the fort Strelka corresponds to the type II of the Atlym ceramics (according to Е. А. Vasilyiev) and dates back to the 10–8th centuries BC. The presence of the Gamayun type vessels indicates some contacts between the population of the Surgut part the Ob River area and the Trans-Ural region.

ECONOMIC POLICY OF THE CHUVASH AUTHORITIES TO REVIVE THE RUSSIAN ORTHODOX CHURCH IN THE LATE 1980s – EARLY 2000s

Introduction. The turn of the 1980s-1990s in the history of our country is characterized by the liberalization of the social system, which changed, in particular, the relations between the state and the Orthdox church. One of the crucial issues in this area is the consideration of state support for the revival of the Church, which allows to determine the place and role of the Orthodox confession in the life of post-Soviet Russia. The article analyzes the features of the historical development of the economic policy of regional authorities aimed at restoring the position of the local eparchy, which was implemented in the late 1980s – early first decade of the 2000s.The purpose of the research is to reveal a comprehensive chronological framework of the historical aspects of economic policy carried out in relation to the Orthodox confession of Chuvashia. Materials and Methods. To achieve this goal, both unpublished archival documents and published sources were used. The main source for the article was the materials from the funds of the state historical archive of the Chuvash Republic and the state archive of modern history of the Chuvash Republic (documents of official records management of public authorities and religious organizations), which are first introduced into scientific use. The study is based on the principle of historicism, comparative-historical and descriptive methods, which revealed the content of the research. Results. According to the results of the study of economic policy of the Chuvash authorities to revive The Cheboksary-Chuvash eparchy in the late 1980s–early 2000s, the author gives a comprehensive description of the considered historical processes. In particular, two stages concerning the transformation of state support for Orthodoxy are proposed and described. The first phase covers 1987–1993 and it is connected with the origin and formation of the practice of returning the monuments of Orthodox Church culture to the Cheboksary-Chuvash eparchy, periodic financial assistance for their repair and restoration work. The second stage (1993–2003) is the time of approval and implementation of the conceptual bases of restoration of the property confiscated from the Russian Orthodox Church during the Soviet period of history, fixed in the regional legislation. It is also established that the main directions of economic policy of the Chuvash authorities in relation to the Russian Orthodox Church were the return of the Church from the state jurisdiction of the property confiscated from it during the Soviet era, as well as the allocation of funds and construction materials for the repair of destroyed and the construction of new churches. Discussion and Conclusion. The consideration of the amount of economic assistance provided by the leadership of the Chuvash Republic to the local Orthodox Church testify to their important role in the full revival of Orthodoxy to the beginning of the first decade of the 2000s, which began in the Chuvash Republic in 1987. The process of state revival of the Church until 1993 was not systematic and was carried out as the need for ongoing democratic reforms. Only in 1994–1997 the decrees of the President of the Chuvash Republic were adopted, accelerating not only the free transfer of buildings-monuments of Orthodox architecture to the ownership of the Cheboksary-Chuvash eparchy, but providing significant financial support for its revival. Undoubtedly, by assisting The Cheboksary-Chuvash eparchy in the restoration of Orthodox architecture, the local authorities fulfilled their moral duty to make amends for the crimes committed by the Soviet state against the Orthodox Church in the Republic. Keywords: denominations, Russian Orthodox Church, Chuvash ASSR Orthodoxy, Chuvash Republic, Cheboksary-Chuvash diocese.

Efficient Resource Allocation and Utilization: The Missing Link in Nigeria’s Quest for Sustainable Development

Abstract This study examines resource allocation and utilization in Nigeria as the missing link in the nation’s quest for sustainable development. The main objective of the research is to examine how inefficient allocation and utilization of material, human and financial resources has made the attainment of sustainable development goals (SDGs) elusive in Nigeria. Given the abundant resources at the disposal of successive regimes in the country, it is difficult to explain why the citizens remain desperately poor with 70 percent living below poverty line. The excruciating poverty faced by the rural majority and the urban poor has led some people into indulging in unwholesome practices such as armed robbery, pipeline vandalism, prostitution, risky migrations, advanced fee fraud and other forms of social vices. The paper utilizes a qualitative design based on the interpretivist philosophy while the ontological orientation is subjectivism. Findings from the study indicate that there has been gross inefficiency in resource allocation and utilization in Nigeria due to corruption, ethnic prejudices, bad governance practices, absence of accountability, lack of transparency and wasteful spending on frivolous activities. Conclusion drawn from the study indicates that if proper project planning, execution, monitoring and evaluation are carried out in a transparent manner, and resources are efficiently allocated and utilized, Nigeria would be on the path to sustainable development. The paper therefore recommends that economic and technical efficiencies should be embraced in resource allocation and utilization for Nigeria to attain sustainable development goals.