Md. Ahad Ali - Academia.edu (original) (raw)

Papers by Md. Ahad Ali

International Journal of Management Concepts and Philosophy

Materials Research Express

A-356 aluminum alloy stepped casted workpiece were prepared with step casting technique was inves... more A-356 aluminum alloy stepped casted workpiece were prepared with step casting technique was investigated for the mechanical properties and porosity defects using various gating elements (ingate/runner) profiles. Similarly, casted workpieces were produced using single and double gating elements with circular (vortex free), square and rectangular runner and ingate profiles. Hardness (HV) and ultimate tensile strength (UTS) of the thick section prepared from single circular runner/ingate system was more in comparison to thin and thinnest sections extracted at respective heights. Similarly, hardness and tensile strengths of thick specimen prepared from double ingate/runner having circular shape was found greater in comparison to thin and thinnest sections accordingly. SEM images depicted increase of porosity levels in thin and thinnest sections prepared from single or double within workpiece manufactured from circular runner & ingate arrangements respectively. In addition, X-ray diffrac...

Chemometrics and Intelligent Laboratory Systems

2021 7th International Conference on Mechanical Engineering and Automation Science (ICMEAS)

Tool wear monitoring is the key part of intelligent maintenance and has been attracting considera... more Tool wear monitoring is the key part of intelligent maintenance and has been attracting considerable interest. However, traditional data-driven methods assume that the collected data following identical distribution and the training data is sufficient, which is impractical in practice. This paper proposed a novel framework to realize tool wear monitoring across scenarios based on deep transfer learning. The collected multi-source heterogeneous signal is fused based on the feature self-extraction and selection capabilities of deep learning. Particularly, the feature extraction capability of convolutional neural networks (CNN) for structured data is improved by integrating traditional feature extraction methods. Furthermore, the transfer learning technique is introduced to migrate the pre-trained model from the source domain to the target domain, and thus achieving the tool wear monitoring across scenarios. The proposed framework was applied to the continuous cutting process of tools and the excellent experimental results demonstrated the effectiveness of the deep transfer learning network for tool wear monitoring with a small number of labeled data, which demonstrates the practicality of the proposed framework.

Neural, Parallel & Scientific Computations archive, Mar 1, 2003

Genetic Algorithms (GA) are innovative search algorithms based on natural phenomena whose main ad... more Genetic Algorithms (GA) are innovative search algorithms based on natural phenomena whose main advantages lie in solving mostly high complex problems. This paper provides how a conventional GA can effectively solve the Product Mix and Material Match problem. Some novel ideas ...

International Journal of Cognitive Computing in Engineering, 2022

Industries in general have a lot of waste. Wool textile company, Baniwalid, Libya has many comple... more Industries in general have a lot of waste. Wool textile company, Baniwalid, Libya has many complex problems that led to enormous waste generated due to the lack of lean strategies, expertise, technical support and commitment. To successfully address waste at wool textile company, this study will attempt to develop a methodical approach that integrates lean manufacturing tools to optimize performance characteristics such as lead time and delivery. This methodology will utilize Value Stream Mapping (VSM) techniques to identify the process variables that affect production. Once these variables are identified, Design of Experiments (DOE) Methodology will be used to determine the significantly influential process variables, these variables are then controlled and set at their optimal to achieve optimal levels of productivity, quality, agility, efficiency and delivery to analyze the outputs of the simulation model for different lean configurations. The goal of this research is to investig...

Power line communications may be used as a data communication channel in public and indoor distri... more Power line communications may be used as a data communication channel in public and indoor distribution networks so that it does not require the installing of new cables. Industrial low voltage distribution network may be utilized for data transfer required by the on-line condition monitoring of electric motors. This paper presents a pilot distribution network for modeling low voltage power line as data transfer channel. The signal attenuation in communication channels in the pilot environment is presented and the analysis is done by varying the corresponding parameters for the signal attenuation.

2009 World Congress on Nature & Biologically Inspired Computing (NaBIC), 2009

The machine diagnosis represents the fault condition monitoring system i.e. discrete or continuou... more The machine diagnosis represents the fault condition monitoring system i.e. discrete or continuous in nature. The monitoring systems may include preset limit indicators such as green for good, yellow for warning and red for failure to notify low levels of fluid or pressure measurements. The machine prognosis represents the set of activities performed based on diagnostic information to maintain its intended operating condition before complete failure. In the automotive assembly plants, the avoidance of complete failure i.e. sudden breakdowns is desired since it causes economical misfortune to the companies. This paper intends to review and summarize various techniques, models, and its applications. In this paper, we also intend to review various BIW assembly processes. The critical robotic assembly failure modes are identified and FMEA table has been developed. Formulate a failure prediction methodology based on actual plant data exclusively for robotic body shop assembly process by formulating various diagnosis and prognosis prediction algorithms. Also, develop a methodology on how to apply some of the techniques for body shop assembly process in an automotive assembly plant.

This research is devoted to develop an empirical correlation mathematical based for consistency a... more This research is devoted to develop an empirical correlation mathematical based for consistency and time of a robotized industrial task simulating an automated manufacturing work-cell such as the robotic leaser cutting using an educational robotics test-cell. The correlation is to investigate contributions of the impact parameters on the performance of robotized work-cell. Processing time models the cycle time and quality of the task has been modeled in terms the consistency of cutline. A set of mathematical formulas have been used to simulate the consistency and cycle time in order to tackle the variability of proposed sources as pieces of time and dimensions that need to be processed in the loaded parts the work-cell; in addition the relationship that suggestively correlates the impacts. A set of experimental tests has been conducted responding to the predicted formulas for the cycle time and consistency. Experimentation factors that have been leveled from minimal to maximal value...

Simulation modeling is one of the most important methods used in the manufacturing processes fiel... more Simulation modeling is one of the most important methods used in the manufacturing processes field. The purpose of using the simulation processes is to determine the problems that happen during manufacturing processes and find optimum solutions with better cost and time process. The simulation processes always happen before start applying processes in the plant. This research focuses on finding optimum solutions to the problems in the production lines such as a bottleneck and processing time at each station of the plant. Also, the research will focus on increase productivity of the plant by running simulation models several scenarios in order to reach the optimal case. Arrival time, capacity, expo time are parameters that will study and consider in each station to avoid problems in the plant. In addition, this research will use a design of experiments DOE and response surface methodology RSM to analysis and support the results and find the optimal mathematical model of the productio...

12 font) Use font size 11 for the abstract text. It should not be exceeding 200 words. Abstract A... more 12 font) Use font size 11 for the abstract text. It should not be exceeding 200 words. Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract

This paper demonstrates the empirical application of Six Sigma to decrease the total number of de... more This paper demonstrates the empirical application of Six Sigma to decrease the total number of delayed jobs (NODJ) in a service contracting company. The study is based on process information and primary data from a real project. DMAIC technique was used in this study to improve the service quality by investigating defects, defining the root causes and providing a solution to minimize the defect. The investigation shows that the mode of receiving jobs order and analyzing the jobs requirements influence the NODJ.

Thank you very much for reading introduction to computation and programming using python. Maybe y... more Thank you very much for reading introduction to computation and programming using python. Maybe you have knowledge that, people have look hundreds times for their favorite books like this introduction to computation and programming using python, but end up in infectious downloads. Rather than reading a good book with a cup of tea in the afternoon, instead they are facing with some malicious virus inside their laptop.

International Journal of Scientific & Technology Research, 2016

The development of an assembly line would not stop at a specific research even if that research c... more The development of an assembly line would not stop at a specific research even if that research contains very detailed sectors of one assembly line, or starting from customer order to product delivery. Therefore, continuous improvement needs to be vigorous for continuous productivity improvement and innovation. The optimization process of printed circuit board assembly line includes hard and soft optimization. The hard optimization includes hardware changes via design, and the soft optimization is figured via simulation of the current assembly line and analysis. The aim of the research is to determine the bottlenecks, find a solution, and develop improvement method via changing the configuration of the setup on the assembly line until the feasible optimal configuration is definite. The software that will be used for this simulation is Arena software. The data of the research is collected from real assembly line. The best engineering assumption for the area is used for no permanent d...

Materials Today: Proceedings, 2020

The electronics industry is one of the fastest growing industries and investments are flowing in,... more The electronics industry is one of the fastest growing industries and investments are flowing in, to increase its quality and manufacturing capacity. But, incremental challenges such as rising customer's expectation, widening customer base of existing ones, fluctuating demand, taxation, lack of infrastructure and intense competition are pulling the sector back. Lean manufacturing could be an answer to these challenges. The concept of lean manufacturing was developed for maximizing the resource utilization through minimization of waste, later on lean was formulated in response to the fluctuating and competitive business environment. Therefore value adding process is necessary to achieve this perfection; hence implementing a lean manufacturing system is becoming a core competency for any type of organizations to sustain in the market. This paper highlights the implementation of Lean as a methodology with series of tools for continuous improvement in quality and productivity in the electronic industries. The main idea is to illustrate the electronics industries that lean implementation can increase productivity by reducing errors and quality improvement. Main optimization parameters for production line were chosen and analyzed with regard to the specifics of electronics production. One of the electronics suppliers named MASTROLEE Engineering and management consultants, Coimbatore was taken for observation and Lean implementation was considered on the engineering and management lines. Paper sums up that after implementing Lean the productivity and quality level is improved by 23% when compared to the existing system.

Jurnal Optimasi Sistem Industri, 2020

Soybean self-sufficiency in Central Java Province is a problem that is difficult to realize at th... more Soybean self-sufficiency in Central Java Province is a problem that is difficult to realize at this time. As an important commodity, self-sufficiency becomes a serious concern for the government. Supply chain management of soybean is related to the integration of supply, demand, and distribution of soybean. The characteristics of entities involved in the soybean supply chain are complex, dynamic, and probabilistic that make the problem cannot be solved using an analytical model and it becomes too risky for trial and error. A suitable tool is using a simulation model. This paper deals with developing a Decision Support System (DSS) using a simulation model that will assist the government in adopting policies in order to achieve self-sufficiency of soybean and the improvement of farmer's welfare. DSS will help decision-makers to try various scenarios of policy in an easy way. The method was started with developing model components, then decision components, and next creating user ...

Brazilian Journal of Operations & Production Management, 2018

Highlights: Cellular Manufacturing systems cover a wide range of industries. Inflation rate can i... more Highlights: Cellular Manufacturing systems cover a wide range of industries. Inflation rate can impose financial harms on cellular manufacturing systems. The over-allocation of workers, which usually happens in dynamic systems, causes reduction of the system performance. The proposed algorithm in this research can successfully schedule cellular systems to reduce system costs. Goal: The main aim is to determine the best trade-off values between in-house manufacturing and outsourcing, and track the impact of uncertain costs on gained schedules. To be more comprehensive, the performance of human resources is restricted and the partial demands are considered uncertain. Design / Methodology / Approach: In this paper a new method for minimizing human resource costs, including operating, salary, hiring, firing, and outsourcing in a dynamic cellular manufacturing system is presented where all system costs are uncertain during manufacturing periods and can be affected by inflation rate. For ...

Uncertain Supply Chain Management, 2019

Machine failures during production period may impose thousands to millions of dollars to a manufa... more Machine failures during production period may impose thousands to millions of dollars to a manufacturing system. In this paper, the impact of machine failures on production lines in a closed-loop supply chain systems is examined. For this purpose, a new method is proposed for scheduling manufacturing workshops in a supply chain systems. The aim is to determine the best production plans in a manufacturing system by considering alternative preventive maintenance programs while machine failures can affect system performance. To solve the model, a hybrid Ant Colony and Simulated Annealing algorithms is developed and the results are compared with branch and bound method. Our findings show that the condition of emerging machine failure affects machines' capacity which yields to lost sale. The impacts of using appropriate preventive maintenance on reducing lost sale is also examined. The results indicate that the proposed method can significantly reduce the level of sale variation in supply chain systems.