Implementation Cost Reduction Research Articles

Progress in and research direction of key technologies for normal-pressure shale gas exploration and development

Normal-pressure shale gas is an important object of shale gas reserves and production increase with broad resource prospects in China, but its large-scale benefit development is still confronted with technical bottlenecks. To promote the large-scale benefit development of normal-pressure shale gas, this paper systematically sorts out and summarizes the research achievements and technological progresses related to normal-pressure shale gas from the aspects of accumulation mechanism, enrichment theory, percolation mechanism, development technology, and low-cost engineering technology, and points out the difficulties and challenges to the benefit development of normal-pressure shale gas in the complex structure zones of southern China, by taking the shale gas in the Southeast Chongqing Area of the Sichuan Basin as the research object. In addition, the research direction of normal-pressure shale gas exploration and development is discussed in terms of sweet spot selection, development technology policy, low-cost drilling technology and high-efficiency fracturing technology. And the following research results are obtained. First, the accumulation mechanism of normal-pressure shale gas is clarified from the perspective of geological exploration theory; the hydrocarbon accumulation model of generation, expulsion, retention and accumulation is established; the enrichment theory of “three-factor controlling reservoir” is put forward; and the comprehensive sweetspot target evaluation system is formed. Second, as for development technology, the development technology policies of “multiple series of strata, variable well spacing, long horizontal section, small included angle, low elevation difference, strong stimulation and pressure difference controlling” are formulated. Third, as for drilling engineering, the optimal fast drilling and completion technology with “secondary structure + radical parameter + integrated guidance + unpressured leak-proof cementing” as the core is formed. Fourth, as for fracturing engineering, the low-cost and high-efficiency fracturing technology with “multi-cluster small-stage + limited-entry perforating + double temporary blocking + high-intensity sand injection + fully electric” as the core is formed. Fifth, normal-pressure shale gas is characterized by complex geological conditions, low pressure coefficient and gas content, poor resource endowment and so on, but its resource utilization still faces a series of challenges, such as uncertain productivity construction positions, low single-well productivity and ultimate recoverable reserve, high investment cost and poor economic benefit. In conclusion, the key research directions to realize the large-scale benefit development of low-grade normal-pressure shale gas are to deepen the research on the enrichment and high yield mechanism and sweet spot selection of normal-pressure shale gas, strengthen the research on the benefit development technology policy based on percolation mechanism and the key technologies for low-cost drilling, accelerate the research and development of the key technologies for low-cost and high-efficiency fracturing, and implement cost reduction and efficiency improvement continuously.

Assessing the E-Commerce Consumer Protection Mechanisms for Fostering Digital Economic Advancement in India through the WPM Method

The rapid proliferation of e-commerce has revolutionized consumer transactions and economic growth in India. This paper delves into the pivotal role of legal consumer protection systems in fostering digital economic growth within the Indian e-commerce landscape, utilizing the Web Performance Monitoring (WPM) method as a foundational framework. The surge in online transactions has necessitated robust mechanisms to safeguard consumers' rights and in still trust in digital marketplaces. The study begins by elucidating the multifaceted challenges faced by Indian consumers in e-commerce transactions, ranging from deceptive advertising practices and counterfeit products to privacy breaches and unfair contract terms. Subsequently, it highlights the indispensable role of effective legal frameworks in addressing these challenges and facilitating seamless digital economic growth. The Web Performance Monitoring (WPM) method is introduced as an innovative approach to assess and enhance the efficacy of consumer protection systems in the digital realm. By analysing real-time data on website performance, transaction security, and dispute resolution mechanisms, the WPM method enables policymakers and stakeholders to identify gaps, optimize processes, and ensure a favourable environment for both consumers and businesses. Drawing on empirical research and case studies, this paper demonstrates the tangible impact of robust consumer protection measures on boosting consumer confidence, encouraging cross-border transactions, and nurturing a conducive ecosystem for digital economic expansion. Furthermore, it emphasizes the need for continuous adaptation and evolution of legal frameworks to keep pace with the dynamic nature of e-commerce. this study underscores the imperative of establishing and fortifying Enhancing consumer protection mechanisms within the realm of e-commerce has the potential to drive digital economic advancement in India. The integration of the Web Performance Monitoring method offers a strategic pathway to continually enhance consumer safeguards, foster trust, and drive sustainable progress in the evolving landscape of online commerce. The alternatives are Self-Regulation by E-Commerce Platforms (A1), Consumer Ombudsman System (A2), Statutory Warranty Requirements (A3), Online Dispute Resolution (ODR) Mechanism (A4), Mandatory Product Liability Insurance (A5), Transparent Return and Refund Policies (A6), Cross-Border Consumer Protection Cooperation (A7) and Digital Signature Authentication (A8). The evaluation parameters are Effectiveness of Dispute Resolution (C1), Consumer Trust and Confidence (C2), Reduction in Fraudulent Transactions (C3), Implementation Cost (C4), Legal Complexity (C5), and Adaptability to Emerging Technologies (C6). The Legal Consumer Protection Systemsresult of Digital Signature Authentication is got first rank and Cross-Border Consumer Protection Cooperation is got lowest rank.

Impact of Cost Reduction Strategies on Purchasing and Procurement in Mozambique

Purpose: The study sought to analyze the impact of cost reduction strategies on purchasing and procurement in Mozambique.
 Methodology: The research was conducted entirely on computers. Secondary data, or data that doesn't require actual observation in the field, are the focus of desk research. Because it requires little more than an executive's time, telephone rates, and directories, desk research is generally seen as a low-cost strategy in comparison to field research. As a result, the research used data that had already been collected and reported. This secondary data was readily available via the internet's digital library and scholarly articles.
 Findings: The results show that cost reduction strategies are effective ways of reducing costs associated with purchasing and procurement. Cost reduction strategies enables companies to reduce costs associated with materials, services, and labor, as well as reduce overhead costs. Additionally, strategic partnerships and the use of technology also help companies reduce costs and optimize their purchasing and procurement process. Overall, cost reduction strategies can be an effective way of reducing costs and improving efficiency.
 Unique Contribution to Theory, Practice and Policy: Future research in the field of purchasing and procurement may be grounded in the competitive advantage theory and the supply chain theory. Policymakers, researchers and academics from all across the world will all stand to gain from this study's findings. Executives in charge of national purchasing and procurement initiatives will also use the study's findings to boost the cost reduction strategies performance across the board. The research suggests that the purchasing and procurement sector should implement cost reduction policies to boost the effectiveness of their primary operations and activities.

Unrolled Compressed Blind-Deconvolution

The problem of sparse multichannel blind deconvolution (S-MBD) arises frequently in many engineering applications such as radar/sonar/ultrasound imaging. To reduce its computational and implementation cost, we propose a compression method that enables blind recovery from much fewer measurements with respect to the full received signal in time. The proposed compression measures the signal through a filter followed by a subsampling, allowing for a significant reduction in implementation cost. We derive theoretical guarantees for the identifiability and recovery of a sparse filter from compressed measurements. Our results allow for the design of a wide class of compression filters. We, then, propose a data-driven unrolled learning framework to learn the compression filter and solve the S-MBD problem. The encoder is a recurrent inference network that maps compressed measurements into an estimate of sparse filters. We demonstrate that our unrolled learning method is more robust to choices of source shapes and has better recovery performance compared to optimization-based methods. Finally, in data-limited applications (fewshot learning), we highlight the superior generalization capability of unrolled learning compared to conventional deep learning.

Ratio Project Planning: cost optimization projects in the production phase

Nowadays, cost reduction, without compromising the quality and functionality of products, is a strategic issue for most companies. Therefore, companies must have adequate cost management systems and be prepared to implement cost reduction plans in order to maintain the desired levels of profitability. Many companies perform cost reduction initiatives in the form of a project, involving the necessary departments and employees to work towards a specific target cost or cost reduction goal. This research is on product cost optimization projects applied by companies that follow a lean approach. The studied company, a first-tier supplier of the automotive industry, developed a cost reduction methodology to be applied in the production phase named Ratio Project Planning (RPP). This methodology was analysed from a project management perspective. To turn it more effective and efficient, a dashboard that includes the performance indicators regarding RPP was developed and implemented. This tool supports decision-making, allowing real-time monitoring and better management of the whole process.

Implementation of a medical intensive care team in the emergency department of a tertiary medical center in the USA

ABSTRACT Objective Critically ill patients boarding in the ED have higher mortality rates. Several strategies have been implemented to deliver care to boarding patients. Our institution opted for a strategy consisting on deploying an Intensive Care team in the ED. This article reports outcomes before-and-after implementation of that team. Methods On November 2020, a Medical Intensive Care Team was deployed in the ED. The team performed consultations for ICU patients boarding in the ED. A retrospective analysis of critically ill patients arriving to the ED before-and-after team implementation was performed. Outcome data were reviewed. Direct hospitalization costs per patient, and direct costs per department were assessed. Wilcoxon rank sum and Chisq-test were utilized to compare differences pre- and post-implementation. Multivariate analyses to model outcomes toward pre- and post-implementation and other variables were performed. Results 1,828 and 3,272 patients were included in the pre- and post-intervention groups. ICU LOS (days) pre- and post-intervention were 3 (1,6) and 3 (1,6), respectively (p = 0.41). ICU readmission rates were 6.7% pre-intervention and 7.4% post-intervention (p = 0.37). Total direct costs were US$ 19,928 (11,006, 37,815) and US$ 15,795 (9016, 28,993), respectively (p < 0.01). Multivariate analysis showed no association between team deployment and ICU LOS or readmission. However, there was association between its implementation and hospitalization cost reduction per patient of US$ 7,171. Conclusion The implementation of a Medical Intensive Care team in the ED is not associated with a reduction of ICU LOS or ICU readmission. Nevertheless, its implementation is associated with a reduction of hospitalization costs.

Claim study of contractors in Commercial Berth Project in Duqm Port in Oman

The claim during the implementation of projects is very important for the contractor and the consultant. As for the owner, it is considered expensive and cumbersome,and therefore the project contract must be very clear so that there are no gaps or defects against the owner.The aim of this research is to analyze and study deeply contractor's claim.The objectives of this study are to study the main factors for the contractor's claim to the commercial pier project in the Sultanate of Oman,including eleven factors. The second objective is to study the impact of the contractor's claim on the commercial pier project in the Sultanate of Oman, and it includes five factors, as the questionnaire was distributed to customers and various segments of society.The results of analyzing 16 factors to identify the key factors and the impact of the study of the contractors claim conclude that the main factors affecting the contactor's claim to the pier project.The factors and impacts are valid to the study after conducting analysis on the obtained data. The factors include the development unexpected weather conditions, inconsideration of the time frame, government approval of delays,poor coordination with the project parties, poor site management and supervision,a change in the clients requirements, the lack of experienced staff, incompetence among teams, low items in the bill of products,and misunderstanding the scope of work and specifications.The impacts to the completion of the Berth project include payment delays, delays in the extension of time,issuing variation order,value implementation engineering and cost reduction,and contractor's performance.

PENERAPAN COST REDUCTION STRATEGIES DI MASA PANDEMI COVID-19 PADA USAHA KECIL MENENGAH (UMKM) KOTA BOGOR (Studi pada Anggota UMKM di Komunitas Kefir Bogor)

&lt;p&gt;&lt;em&gt;This research purpose to know the application of Cost Reduction Strategies on Micro Small and Medium Enterprises (MSME).&lt;/em&gt; &lt;em&gt;Cost reduction strategies have the meaning of "change" even though it is better known as "cost reduction" but any company that dares to implement cost reduction means that it is ready to change. The problem in the application of Cost Reduction Strategies is the difficulty in making a priority scale to determine cost items that can be streamlined and not optimal in carrying out the cost reduction stage. The focus of this study is more on the application of business process change strategies and also the efficiency of human resources. This research uses a qualitative description method. The technique of collecting data was done by interviewing and surveying a number of respondents using a sampling technique. The survey results showed 67% applied the concept of efficiency in business processes and 25% implemented a human resource efficiency strategy (streamlining), 8% of respondents stated that they did not implement an efficiency strategy during a pandemic because their income has actually increased. From the survey results, it shows that the main focus of MSME entrepreneurs when there is a decline in turnover is to make improvements to the production process firsts, streamlining is the final choice.&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Key words:&lt;/strong&gt; &lt;em&gt;Cost Reduction Strategies, UMKM Bogor, Covid-19&lt;/em&gt;&lt;/p&gt;

Optimal model of a hybrid electrical system photovoltaic panel /wind turbine/battery bank, considering the feasibility of implementation in isolated areas

Currently thousands of people around the world lack access to electricity in remote areas, the demand for energy in these areas can be effectively supplied by renewable sources, hybrid photovoltaic-wind systems attract attention due to the reduction of implementation costs in In recent years and a high reliability in the supply, the optimal model of the system is considered an influencing variable in the optimal size of the system as it is defined according to the conditions of the problem or study area. The article presents a series of simulations to find the feasibility of the implementation of the isolated system, the economic technical parameters are analyzed to obtain the lowest cost of energy to be considered competitive, the levelized cost of energy is directly related to the cost optimum of each one of the sources, which leads to a considerable increase in the introduction of this type of hybrid systems and the disenchantment of using generators based on fossil fuels.

Warehouse Improvement Evaluation using Lean Warehousing Approach and Linear Programming

Lean manufacturing tools have been applied for several years to improve company’s internal logistic. Furthermore, a lot of factors such as globalization, competition and shorter life-cycle product force companies to create production process more efficient and cheaper. The acceptance of lean philosophy in the company means not only respecting the lean principles in the manufacturing area, but also in all the process that performed inside the company. The implementation of lean principles in the warehouse area is a certain step of improvement warehouse process and performance, but also the whole company. However, the implementation of lean principles in warehouse area is relatively new subject in logistics. Most of the research that has been done before only focused on eliminate waste and didn’t count the cost that can be saved after lean implementation. This paper’s objective is to identify waste that might be able to appear in warehousing process using value stream mapping. After the waste successfully identified, the next step is doing improvement using lean tool and count the implementation cost using linear programming. The result of this paper is choose which tool that make lower implementation cost and higher time reduction

Machining Induced Surface Integrity Aspects of Stainless Steels: A Review

Abstract Surface integrity (SI) is one of the important measures of machinability, because it affects the functional aspects of the finished components, such as fatigue strength and resistance to corrosion. Various methods of generating the most favorable residual stress on the machined surfaces for improvement of fatigue life like, variations in machining parameters, tool geometry and work material property enhancement are replacing the age-old techniques of shot peening and laser shock peening. These new methods are promising, because of their functional ease of implementation and significant cost reduction through such implementation. This study presents a brief review of the extant literature on machining induced surface integrity aspects of difficult to cut materials like, Duplex Stainless Steels (DSS). The need of predictive modeling for machining induced surface integrity aspects of Duplex Stainless Steels is highlighted as an outcome of this literature review

A new approach to map landscape variation in forest restoration success in tropical and temperate forest biomes

Abstract A high level of variation of biodiversity recovery within a landscape during forest restoration presents obstacles to ensure large‐scale, cost‐effective and long‐lasting ecological restoration. There is an urgent need to predict landscape variation in forest restoration success at a global scale. We conducted a meta‐analysis comprising 135 study landscapes to predict and map landscape variation in forest restoration success in tropical and temperate forest biomes. Our analysis was based on the amount of forest cover within a landscape — a key driver of forest restoration success. We contrasted 17 generalized linear models measuring forest cover at different landscape sizes (with buffers varying from 5 to 200 km radii). We identified the most plausible model to predict and map landscape variation in forest restoration success. We then weighted landscape variation by the amount of potentially restorable areas (agriculture and pasture land areas) within the same landscape. Finally, we estimated restoration costs of implementing Bonn Challenge commitments in three specific temperate and tropical forest biome types in the United States, Brazil and Uganda. Landscape variation decreased exponentially as the amount of forest cover increased in the landscape, with stronger effects within a 5 km radius. Thirty‐eight per cent of forest biomes have landscapes with more than 27% of forest cover and showed levels of landscape variation below 10%. Landscapes with less than 6% of forest cover showed levels of variation in forest restoration success above 50%. At the biome level, Tropical and Subtropical Moist Broadleaf Forests had the lowest (12.6%), whereas Tropical and Subtropical Dry Broadleaf Forests had the highest (22.9%) average of weighted landscape variation in forest restoration success. Our approach can lead to a reduction in implementation costs for each Bonn Challenge commitment between US$ 973 Mi and 9.9 Bi. Policy implications. Our approach identifies landscape characteristics that increase the likelihood of biodiversity recovery during forest restoration — and potentially the chances of natural regeneration and long‐term ecological sustainability and functionality. Identifying areas with low levels of landscape variation can help to reduce the risks and financial costs associated with implementing ambitious restoration commitments.

Comparative Analysis of the Dynamic Cone Penetrometer-Cone Penetration Rate Design Approach against Other Methods Used for Upgrading of Low Volume Roads: Case of Uganda and Zambia

Low volume roads form a significant part of the road network in Sub-Saharan Africa (SSA). During the dry season, these often unsurfaced (predominantly gravel) roads generate a lot of dust which is a health hazard and has adverse effects on the environment. In the wet season, some sections of these roads become impassable thereby limiting accessibility and disrupting economic activities. Rapid depletion of gravel sources for road construction has rendered the re-graveling of these roads unsustainable. On the other hand, upgrading these roads to bituminous standard using conventional design approaches would be costly given the vastness of the network in question. For sustainability, it is imperative to explore alternative approaches for design of low volume sealed roads (LVSR). Research in the region has highlighted the dynamic cone penetrometer-cone penetration rate (DCP-DN) method as one such plausible approach. In the DCP-DN design approach, the DN value is used directly, without correlation with the California bearing ratio (CBR). This paper provides a comparison of the DCP-DN pavement design method with other common methods for design of LVSR in SSA—particularly Uganda and Zambia. In both countries, the DCP-DN method was found to be a promising alternative for pavement design of LVSR in relation to potential reduction in cost of implementation of the pavement layers that resulted from the design.

Sports-based mental health promotion in Australia: Formative evaluation

ObjectivesFormative evaluation is critical in maximising the implementation strategies and processes of interventions. It is also critical to both providing contextual explanations for and maximising the success of such interventions. The purpose of this study was to undertake a comprehensive formative evaluation of the implementation process of a multi-component, sports-based mental health program for adolescent males (“Ahead of the Game”). MethodsPrimary outcomes included program reach, dose, fidelity and cost during initial piloting and two distinct implementation phases. The iterative formative evaluation process provided opportunities to adapt the program and its implementation strategy to optimise reach, dose and fidelity relative to implementation cost. ResultsFormative evaluation data showed that the program failed to achieve optimal reach in the initial pilot phase (Phase I), with low doses of the program received by stakeholders, and moderate fidelity. Bottom up implementation strategies improved dose and club ownership during Phase II but resulted in high costs and lower fidelity and was associated with implementation staff retention and management issues. Phase III with more streamlined staffing and club integrated implementation resulted in high reach, dose, fidelity and club ownership and an associated reduction in implementation cost per participant. Conclusion: Formative evaluation succeeded in maximising the Ahead of the Game program engagement over three distinct phases. Results are salient for informing cost-effective implementation strategies for sports-based health promotion.

Evaluation of Wastewater Treatment by Microcosms of Vertical Subsurface Wetlands in Partially Saturated Conditions Planted with Ornamental Plants and Filled with Mineral and Plastic Substrates.

The current knowledge about the role terrestrial ornamental plants play in constructed wetlands (CWs) has scarcely been evaluated. Likewise, little attention has been given towards the use of new support or fill media for subsurface flow CWs, which may result in the reduction of costs when implemented on a large scale. This study evaluated, during nine months, the effect of three terrestrial ornamental plants and two substrates on the elimination of pollutants in wastewaters by using fill-and-drain vertical subsurface flow CWs (FD-CWs). Sixteen microcosms were used, nine filled with polyethylene terephthalate (PET) and nine with porous river stone (PRS). For each type of substrate, duplicates of microcosms were used, utilizing Anthurium sp., Zantedeschia aethiopica, and Spathiphyllum wallisii as vegetation and two other CWs without vegetation as controls. The environmental conditions, number of flowers, and height of the plants were registered. The results revealed that both substrates in the FD-CWs were efficient in removing pollutants. The average removal of pollutants in systems with vegetation revealed a positive effect on the reduction of the biochemical oxygen demand (55–70%), nitrates (28–44%), phosphates (25–45%), and fecal coliforms (52–65%). Meanwhile, in units without vegetation, the reduction of pollutants was nearly 40–50% less than in those with vegetation. The use of PET as a filling substrate in CWs did not affect the growth and/or the flowering of the species; therefore, its use combined with the species studied in CWs may be replicated in villages with similar wastewater problems. This may represent a reduction in implementation costs when utilizing PET recycled wastes and PRS as substrates in these systems in comparison with the typical substrates used in CWs. More studies are needed to better understand the interactions among these novel support media and the commercial terrestrial ornamental plants.

Multiobjective Generation Portfolio of Hybrid Energy Generating Station for Mobile Emergency Power Supplies

This paper proposes a mixed generation portfolio model of hybrid energy generating station (HEGS) for standby emergency power supply (EPS). The HEGS functions as a mobile and transportable reserve power source for critical loads in case of electricity outages. In the proposed model, various renewable and non-renewable energy sources with different mobility, energy density, and power density characteristics are integrated to form a sufficient and reliable hybrid energy EPS system, and the uncertainties of demand load, wind speed, solar radiation intensity, as well as solar cell temperature are modeled as interval numbers to formulate the optimal sizing problem of HEGS under uncertainty into a deterministic combinatorial optimization model. Furthermore, the multiobjective generation portfolio model of EPS configuration is also designed to generate Pareto frontier between implementation cost reduction and mobility improvement. Four generic evaluation metrics are formulated to evaluate the resulting generation-mix schemes of HEGS with case study demonstrated the effectiveness and superiority of the proposed model.

Assessing the efficiencies of alternative best management practices to reduce non-point source pollution for a sub-watershed in Louisiana, USA

Alternative best management practices applied in an agricultural context are evaluated for cost effectiveness in a sub watershed in Northern Louisiana A GIS based watershed simulation model is coupled with a linear programming model to assess nine Best Management Practices BMPs based on implementation cost and phosphorus reduction The optimization model is conducted at varying target phosphorus reduction levels revealing the most cost effective combination of BMPs to achieve that level of reduction At lower levels of phosphorus reduction nutrient management is the most cost effective BMP As phosphorus reduction targets increase a combination of several BMPs is needed to achieve target reductions

Developing Civil Servants’ Commitment to Share Knowledge and Implement Cost Reduction Policy: The Perspective of Malaysian Public Sector

The present study is designed to propose values for developing civil servants’ commitment to share ideas on how to reduce public organization cost and in turn commitment to implement cost reduction policy in the workplace. If civil servants feel that they have a moral obligation in paying back the country through remain with the employing public agencies they become receptive towards cost reduction policy. To instil this moral obligation this study proposes the elements of means, attitude towards leaders and attitude towards government. The researchers have applied cross-sectional survey research to validate the framework. It is found that attitude towards government influenced the development of civil servants’ commitment to share knowledge in the workplace significantly. On the other hand, means and attitude towards government influenced the development of civil servants’ commitment to implement cost reduction policy in the workplace significantly. The practical implications are the discovery of theoretical, personal, and workplace practical best practices for the establishment of strategies to establish knowledge sharing commitment and cost reduction commitment amongst civil servants in the public organizations.

A Mathematical Study to Control Visceral Leishmaniasis: An Application to South Sudan.

In this manuscript, we propose and analyze a compartmental model of visceral leishmaniasis (VL). We model the human population with six compartments including asymptomatic, symptomatic and PKDL-infected, animal population as second host and sandfly population as the vector. Furthermore, the non-adult stage of the sandfly population is introduced in the system, which was not considered before in the literature. We show that the increase in the number of host of sandfly population generates a backward bifurcation. Thus, multiple hosts will cause disease persistence even if the basic reproduction number ([Formula: see text]) is below unity. We perform a sensitivity analysis of important model parameters with respect to some epidemiologically significant responses. We validate our model by calibrating it to weekly VL incidence data from South Sudan for the year 2013. We perform cost-effectiveness analysis on different interventions: treatment, non-adult control, adult control and their different layered combinations based on their implementation cost (in USD) and case reduction. We also use a global sensitivity analysis technique to understand the effect of important parameters of our model on the implementation cost of different controls. This cost-effectiveness study and cost-sensitivity analysis are relatively new in existing literature of this disease.

Laboratory and field evaluation of the warm fiber reinforced high performance asphalt mixtures (case study Karaj – Chaloos Road)

Using modified asphalt mixture is inevitable to improve technical performance of asphalt pavement and it will be achieved via asphalt mixture or bitumen improvement. In the present study, a combination of these methods are applied simultaneously using Fischer–Tropsch Paraffin wax (Sasobit) as one of the most widely used bitumen modifiers in the production of warm mix asphalt mixtures, and Polyolefin – Aramid FORTA polymer fibers as a reinforcing factor of asphalt mixture. The modified and unmodified asphalt performance at high, intermediate, and low temperatures were evaluated on two stages of laboratory and field sampling using dynamic creep, rutting, resilient modulus indirect tensile fatigue, moisture sensitivity, resistance for compaction, and fracture tests. The results indicate that simultaneous use of Polyolefin – Aramid FORTA polymer fibers and Fischer–Tropsch Paraffin wax (Sasobit) not only increase significantly the asphalt mixture resistance, but also it helps to improve asphalt mixture workability, including mixing, transportation, paving, and compacting. This will result in environmental pollutions and implementation cost reduction as well as asphalt life extension.