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In industry, skilled workers typically operate a specific set of machines; therefore, managers need to decide on the most efficient assignments for machines and workers. However, they also need to balance the workload among workers while... more
In industry, skilled workers typically operate a specific set of machines; therefore, managers need to decide on the most efficient assignments for machines and workers. However, they also need to balance the workload among workers while meeting deadlines. In this research, the dual resource-constraint flexible job-shop scheduling problem with sequencing flexibility (DR-FJSPS) is formulated. The DR-FJSPS deals with decisions made regarding machines, worker assignments, and sequencing flexibility simultaneously in a flexible job-shop environment. Sequencing flexibility is studied in this paper, and precedence relationships of the operations are defined by a directed acyclic graph instead of the traditional linear order. The DR-FJSPS is modelled as a multi-objective problem to minimize conflicting objectives as makespan, maximal worker workload, and weighted tardiness. Due to the intractability of the DR-FJSPS, an elitist non-dominated sorting genetic algorithm (NSGA-II) with an innov...
For the past two decades, increased efforts by both governments and the general public have been enforced through stricter legislations and more awareness to make manufacturing more environmentally conscious. Product refurbishing and... more
For the past two decades, increased efforts by both governments and the general public have been enforced through stricter legislations and more awareness to make manufacturing more environmentally conscious. Product refurbishing and component re-use are being applied on a wider scale worldwide. Disassembly, hence, has attracted more attention both in academia and the industry. Concepts and methods for disassembly planning should be further developed to support this new manufacturing environment. A semi-generative macro disassembly process planning approach based on the Traveling Salesperson formulation has been developed and is reported in this paper. Precedence graphs, which depict the precedence relationships between disassembly operations, are being utilized. The problem of generating optimal macro-level process plans is combinatorial in nature and proven NP-hard. Hence, a random-based hill-climbing heuristic based on Simulated Annealing is tailored for this problem. Finally, a ...
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Multitasking is an important part of today’s manufacturing plants. Multitask machine tools are capable of processing multiple operations at the same time by applying a different set of part and tool holding devices. Mill-turns are... more
Multitasking is an important part of today’s manufacturing plants. Multitask machine tools are capable of processing multiple operations at the same time by applying a different set of part and tool holding devices. Mill-turns are multitask machines with the ability to perform a variety of operations with considerable accuracy and agility. One critical factor in simultaneous machining is to create a schedule for different operations to be completed in minimum make-span. A Mixed Integer Linear Programming (MILP) model is developed to address the machine scheduling problem. The adopted assumptions are more realistic when compared with the previous models. The model allows for processing multiple operations simultaneously on a single part; parts are being processed on the same setup and multiple turrets can process a single operation of a single job simultaneously performing multiple depths of cut. A Simulated Annealing algorithm with a novel initial solution and assignment approach is...
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There are many benefits for applying pulse irrigation and using rice straw as organic mulching for saving irrigation water under drought conditions. This study investigated the effect of pulse drip irrigation and rice straw organic... more
There are many benefits for applying pulse irrigation and using rice straw as organic mulching for saving irrigation water under drought conditions. This study investigated the effect of pulse drip irrigation and rice straw organic mulching on yield, water productivity and quality of orange crop under sandy soils conditions during 2016 and 2017 seasons in the research farm station of National Research Centre at Al-Nubariya Region, Al-Buhayrah Governorate, Egypt. The greatest values of productivity, water productivity and some quality characteristics of the orange crop occurred when the daily irrigation water was added eight times daily with the organic mulch of the rice straw at 9 tons per ha-1 where, yield of orange were 33.15 ton. ha-1 and 32.27 ton.ha-1 for 2016 and 2017 respectively compared with the lowest values were 10 ton. ha-1 and 9.8 ton. ha-1 for 2016 and 2017 respectively when the irrigation water was added one time per day and without organic mulching. The effect of add...
Due to the rapid increase in electric vehicles (EVs) globally, new technologies have emerged in recent years to meet the excess demand imposed on the power systems by EV charging. Among these technologies, a mobile energy storage system... more
Due to the rapid increase in electric vehicles (EVs) globally, new technologies have emerged in recent years to meet the excess demand imposed on the power systems by EV charging. Among these technologies, a mobile energy storage system (MESS), which is a transportable storage system that provides various utility services, was used in this study to support several charging stations, in addition to supplying power to the grid during overload and on-peak hours. Thus, this paper proposes a new day-ahead optimal operation of a single MESS unit that serves several charging stations that share the same geographical area. The operational problem is formulated as a mixed-integer non-linear programming (MINLP), where the objective is to minimize the total operating cost of the parking lots (PLs). Two different case studies are simulated to highlight the effectiveness of the proposed system compared to the current approach.
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To unlock the green potential of electric vehicles (EVs), renewable energy sources are necessary for forming a decarbonized grid. With the rising demand for EVs and fast-charging stations (FCSs), the installation of renewable-based... more
To unlock the green potential of electric vehicles (EVs), renewable energy sources are necessary for forming a decarbonized grid. With the rising demand for EVs and fast-charging stations (FCSs), the installation of renewable-based distributed generators (DGs) can further defer network upgrades and minimize energy losses. In this article, a new planning model is proposed to site and size FCSs and wind-based DGs, taking into account the stochastic nature of FCSs, residential EV loads, and renewable generation. The proposed planning model considers different cost and revenue components associated with FCSs and wind-based DGs. A typical distribution network is overlaid on a geographic map to illustrate how the network is connected with the municipal layout, thus taking into account practical constraints for installing FCSs and DGs in the vicinity of each bus. A novel scoring scheme that considers practical geographical aspects is developed to quantify the attractiveness of FCS candidate locations to the drivers of EVs. This scheme is essential to ensure installing FCSs at locations that maximize revenue to investors. Results demonstrate that planning for both FCSs and wind-based DGs is effective from a financial standpoint.
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The values of electroencephalography (EEG) in neonatal hypoxic-ischemic encephalopathy (HIE) during therapeutic hypothermia (TH) are still uncertain. The aim of this study is to detect EEG background, the prevalence of seizures during... more
The values of electroencephalography (EEG) in neonatal hypoxic-ischemic encephalopathy (HIE) during therapeutic hypothermia (TH) are still uncertain. The aim of this study is to detect EEG background, the prevalence of seizures during cooling, and to determine different EEG patterns that can predict brain injury in magnetic resonance imaging (MRI). Thirty-nine newborns with HIE were subjected to TH. Continuous monitoring by video-EEG was carried out throughout cooling and during rewarming. MRI was done for all newborns after rewarming. The predictive value of EEG background for MRI brain injury was evaluated at 6-h intervals during cooling and rewarming. At all-time intervals, normal EEG was associated with no or mild MRI brain injury. At the beginning of cooling, normal background was more predictive of a favorable MRI outcome than at later time points. After 24 h of monitoring, diffuse burst suppression and depressed patterns had the greatest prognostic value. In most patients, a ...
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Research Interests: Engineering and Elsevier
ABSTRACT To benefit from globalization, the single-facility scheduling problem is extended to a distributed multi-facility level. This paper tackles both the mathematical modeling and solution techniques for the problem of distributed job... more
ABSTRACT To benefit from globalization, the single-facility scheduling problem is extended to a distributed multi-facility level. This paper tackles both the mathematical modeling and solution techniques for the problem of distributed job shop scheduling. The problem is first mathematically formulated by a mixed integer linear programming model. This model supersedes the best available model in the literature in terms of both size and computational complexities. Moreover, novel simulated annealing algorithms are developed. These algorithms propose an advanced move operators matching the special encoding scheme used. The developed near-optimal search method has been enhanced by combining it with a local search method and adding advanced features to it such as the introduced restart phase. Also, we have hybridized the developed metaheuristic further with a greedy algorithm. Using the Taguchi method, the algorithm is finely tuned. Numerical experiments are conducted to evaluate the performance of the algorithms against an available genetic and a greedy algorithm. The results show that the proposed algorithm outperforms both algorithms.
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The capability for each separate stream of a process having multiple process streams can be calculated by applying conventional capability metrics such as Cp or Cpk. Because the streams typically have dissimilar averages and standard... more
The capability for each separate stream of a process having multiple process streams can be calculated by applying conventional capability metrics such as Cp or Cpk. Because the streams typically have dissimilar averages and standard deviations, the Cpk..
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Onur Aciicmez, Samsung Information Systems America Scott Adams, AFRL Masoom Alam, Institute of Management Sciences, Pakistan Mohd Anwar, University of Calgary John Aycock, University of Calgary Ahmed Azab, North Carolina State University... more
Onur Aciicmez, Samsung Information Systems America Scott Adams, AFRL Masoom Alam, Institute of Management Sciences, Pakistan Mohd Anwar, University of Calgary John Aycock, University of Calgary Ahmed Azab, North Carolina State University Vijay Balasubramaniyan, Georgia Institute of Technology Arati Baliga, Rutgers University. David A. Belle-Isle, Communications Security Establishment Canada Shakeel Butt, Rutgers University Nicole Carlson, The Aerospace Corporation Hao Chen, University of California, Davis Anthony Choi, The Aerospace Corporation ...