Full Text Available
Access Full Text at Repository
Search Results - multi objective (optimization OR utilization)
Search alternatives:
- utilization »
- Go to Previous Page
- Showing 281 - 281 results of 281
Search Tools:
Refine Results
Page will reload when a filter is selected or excluded.- Computer Science 5 results 5
- African Open Access — Technology & Engineering 2 results 2
- Astronomy 1 results 1
- Building and Construction 1 results 1
- Computer Sciience 1 results 1
- Dattabase Management 1 results 1
- Electronics 1 results 1
- Energy 1 results 1
- Internet 1 results 1
- Mechanical Engineering 1 results 1
- Open Access Journals 1 results 1
- journaltocs (1) 1 results 1
- see all…
- General 17 results 17
- Computer Science 5 results 5
- African Open Access — Technology & Engineering 2 results 2
- A non-pre-emptive goal programming (NGP) model for weld-metal chemical composition optimization from welding-flux ingredients is proposed. The proposed model, which is the first multi-objective mathematical programming approach to welding-flux formulation, provides increased flexibility to the welding-flux formulator in several ways: (1) several conflicting objectives can be simultaneously considered, (2) the best compromise for welding-flux formulation can be achieved with minimal expenditure of resources and experimental efforts, (3) the welding-flux designer can explore various trade-off options, and (4) the lead time and cost of developing welding consumables can be drastically reduced. This paper has extended the work of Kanjilal and co-investigators by coupling it with the NGP optimisation technique so as to prescribe the welding-flux ingredient levels that will achieve optimum performance for the flux at minimum experimental efforts and cost. The feasibility and suitability of the model is illustrated with data from the literature. 1 results 1
- Although an essential but scarce resource, money is constantly required for the purchase of raw materials necessary for a continued production of livestock feeds. Improper management of available capital can lead to stoppage of production activities, low productivity and loss of customers’ good will. Therefore, there is the need to manage effectively the little capital available. This study was aimed at developing and solving a model that can determine the procurement order for raw materials considering the liquid capital constraint. An animal feed firm was investigated and data on materials (bill, quantity ratio, cost); products list; supplier’s list; product demand; liquid capital available and the available lead time amongst others were collected by means of interviews, observations and existing records. These were thereafter analysed to form the required parameters. A multi-objective optimization model was developed using linear programming technique as a tool for procurement order of materials in the firm and solved using two different soft wares (Tora 1.0 and Lingo 14.0). Selection of suppliers was based on payment term. 6 products, 13 materials, 7 suppliers, 2 days and ₦138,856 were obtained from the bill of materials, suppliers list, available lead time and liquid capital available respectively. A total weekly demand of 22,600kg of product was also obtained from the product demand. A total of 205 parameters were obtained from the analysed data. The developed model exhibited 3 objective functions (maximize profit on all products, minimize waiting time for all raw materials and minimize the total cost of raw material), 32 variables (Q1...q1) and 78 constraints (t1 ≤ 0.28… t13 ≥ 0). Same optimal values (0, 0, … and 0.55) were obtained from the use of Lingo 14.0 and Tora 1.0. Moreover, 211.97₦kg was realised as the optimum value for the objective function. The supplier IBM, with the most flexible payment term was selected to supply nine out of the 13 materials. The developed model will be useful in ensuring effective management of the available liquid capital for material procurement, thereby eliminating the stoppage of production activities, improving productivity and ensuring customers’ good will. 1 results 1
- Asides inventory cost, which is being used as the only inventory performance measure at the University of Ibadan bakery, a number of other criteria, such as inventory cost, service level, inventory turnover and delivery lead time which influence the performance of an inventory system have surfaced over the years. Hence, there is the need to examine all these criteria-objectives altogether. Therefore, this research was centred towards optimising the inventory system of University of Ibadan bakery, putting multiple criteria into consideration. Data on 17 raw materials: their costs, suppliers, usage rate, lead time, storage space and available capital were collected by means of interviews, past records and observations. The weighted goal program algorithm was adopted to find the best compromise between fulfilling the four objectives by minimising the sum of the deviation from the target values of the goals. Subsequently, Lingo 17.0 and Tora 1.0 optimisation software packages were used to solve and compare the model generated, while putting into consideration storage space constraint and budgeted capital. The developed model from the goal programming algorithm exhibited four goals (combined into one objective function). Same solutions were obtained from Lingo 17.0 and Tora 1.0. While Lingo 17.0 gave a uniform service level of 100% , a turnover ratio greater than 1(>1) for all the materials at a negligible increase (of < 0.0001%) in total inventory cost of the raw materials and available lead time duration of zero days (< 24 hours) for each material, Tora 1.0 gave a uniform service level of 100% a turnover ratio greater than 1 (> 1) for all the materials at a negligible increase (of < 0.0001%) in total inventory cost of the raw materials and available ead time duration of zero days (< 24 hours) for each material. Implementation of the developed model will eliminate unnecessary waiting time between production, thereby ensuring effective and efficient utilization of raw materials in production which will lead to reduced cost of holding inventory, elimination of unnecessary overall cost and wastages, and also improvement of the productivity and profit on the long run. 1 results 1
- Astronomy 1 results 1
- Building and Construction 1 results 1
- Computer Sciience 1 results 1
- Credit Facilities 1 results 1
- DNA Binding Site 1 results 1
- Dattabase Management 1 results 1
- Economic Development 1 results 1
- Electronics 1 results 1
- Energy 1 results 1
- Internet 1 results 1
- Inventory system 1 results 1
- Liquid capital 1 results 1
- Materials 1 results 1
- Mechanical Engineering 1 results 1
- Microfinance Bank 1 results 1
- Multi-Objective Optimization 1 results 1
- Multi-criteria optimisation 1 results 1
- One of the major challenges in bioinformatics is the development of efficient computational tools for mining patterns. Structured motifs, like DNA binding sites in organisms with peculiarities in their genomic sequence like malaria parasite, Plasmodium falciparum have not been mined by existing structured motifs extraction tools. There is a need to develop faster computational tools to mine these DNA binding sites which are viable drug targets. This work was aimed at developing an algorithm for mining structured motifs in the genome of P. falciparum. The Gene Enrichment Motif Searching (GEMS) method for mining simple motifs was modified by incorporating the time efficient implementation of the suffix tree data structure with suffix links. This enables an improved searching speed, while adding an optimized position-weight matrix computation using the hypergeometric-based scoring function. This algorithm, Suffix Tree Gene Enrichment Motif Searching (STGEMS) was implemented in C programming language on Linux platform. An empirical evaluation of the sensitivity of STGEMS was conducted by comparing the similarity check mechanism of the GEMS algorithm for mining simple motifs with that used in another popular algorithm for extracting structured motifs, a Multi-Objective Genetic Algorithm Motif Discovery (MOGAMOD). The output of STGEMS algorithm was validated by comparing the motifs discovered with those obtained using biological experiments. A further validation was done by applying the STGEMS and GEMS algorithm to selected metabolic pathways and the results were compared. The STGEMS algorithm was tested with four sets of genes from the intraerythrocytic development cycle of P. falciparum. The speed of execution was evaluated using three simple motif discovery tools: Expectation Maximization Motif Elicitation(MEME), Gene Enrichment Motif Search (GEMS), and WEEDER as well as two structured motif discovery tools: RISOTTO and EXMOTIF on four different gene sizes.The high sensitivity of STGEMS in mining structured motifs from sequences in P. falciparum was proven empirically by its ability to identify 91% of the motifs in the sequences while MOGAMOD could not identify any motif. This validated the high sensitivity of the similarity check mechanism employed, in contrast with that used in MOGAMOD. The STGEMS algorithm identified 90% of the binding sites in P. falciparum which were similar to those obtained in biological experiments. On the selected metabolic pathways, STGEMS discovered all the simple motifs identified by GEMS, in addition to the structured motifs which GEMS could not identify. The empirical runtimes of STGEMS, MEME, WEEDER, GEMS, RISOTTO and EXMOTIF were respectively 20, 35, 26, 25, 28, 30 seconds for 20,000 base pair (bp), 32, 43, 44, 45, 42, 40 seconds for 40,000 bp, 41, 55, 56, 55, 52, 50 seconds for 60,000 bp and 54, 68, 69, 65, 67, 61 seconds for 80,000 bp respectively. The proposition resulted in a linear asymptotic runtime of O(N) at each iteration of the algorithm. The suffix tree gene enrichment motif searching algorithm developed was time efficient and successful in mining structured motifs like DNA binding sites in Plasmodium 15 falciparum. This will aid a faster drug target discovery pipeline for the design of effective anti malaria drugs. 1 results 1
- Open Access Journals 1 results 1
- Poverty Alleviation 1 results 1
- Procurement 1 results 1
- Productivity 1 results 1
- Rural Development 1 results 1
- Selection of optimimum machining parameters is an essential factor in process planning for efficient metal cutting operations. In this study, an artificial neural network based tool wear predictive model and a genetic algorithm-based optimization model were developed to determine the optimum cutting parameters for turning NST 37.2 steel with uncoated carbide cutting inserts. Multi-layer, feed-forare, back -propagation network was used in predictive model, while maximum metal removal rate (MRR) was used as the objective function and tool wear as samples NST 37.2 steel bars with 25mm diameter and 400mm length s workspiece and Sandvice Coromant® uncoated carbide inserts with International Standard Organization (ISO) designation SNMA 12406. Dry machining at different cutting conditions with cutting speed (v), feed rate (f) and depth of cut (d) ranging from 20.42-42.42 mm/min, 1.0-2.2 mm/rev and 0.2-0.8mm, respectively were carried out. Eight passes of 50mm length of cut were machined at each conediiton, the spindle power and tool wear (flank and nose) were measured during each cutting operation. Results have shown that the predictive model had acceptable accurancy and optimum cutting parameters obtained were: v=42.32mm/min, f= 2.19 mm/rev and d = 0.8mm. 1 results 1
- see all…
- International Journal of Wireless and Microwave Technologies 3 results 3
- Algerian Journal of Signals and Systems 2 results 2
- Foundations of Computing and Decision Sciences 2 results 2
- Advanced Modeling and Simulation in Engineering Sciences 1 results 1
- Advances in Astronomy 1 results 1
- Big Data Mining and Analytics 1 results 1
- Complex & Intelligent Systems 1 results 1
- Computer Science (AGH University) 1 results 1
- Energy Science & Engineering 1 results 1
- International Journal of Concrete Structures and Materials 1 results 1
- Journal of Computational Design and Engineering 1 results 1
- Journal of Mechanical Engineering and Sciences 1 results 1
- PLOS ONE 1 results 1
- see all…
- SUNScholar — Stellenbosch University Repository 102 results 102
- UPSpace — University of Pretoria Institutional Repository 68 results 68
- UCTD — University of Cape Town Open Access Repository 66 results 66
- AUC Knowledge Fountain — bepress 18 results 18
- KNUSTSpace — Kwame Nkrumah University of Science & Technology (Ghana) 2 results 2