Smart Solution for Enhancing Storage Location Assignments in WMS Using Genetic Algorithm
Authors : Saleet, H
Abstract : Nowadays because of COVID-19 pandemic, the warehouse management system (WMS) solutions in the lean supply chain became more challenging. The WMS concerned with the logistics problem of stock keeping units (SKUs) being assigned to a proper storage location, i.e the Storage Location Assignment Problem (SLAP), is considered in this paper. Solving SLAP helps with the decision making affecting the efficiency of order-picking operations. This paper proposes a generic solution for SLAP; it is a smart logistics solution using data analytics and genetic algorithm where it introduces generic association-based assignment algorithm which helps placing SKUs nearby each other on the racking systems within the warehouse based on their frequency of being ordered together in the same picking orders. The percentage difference between the optimal solution and the solution achieved from the proposed approach is around 5.6%. This implies that the proposed smart logistic solution approach is successful in solving the SLAP and then enhances the WMS efficiency.
Keywords : Smart Logistics Solutions, WMS, Genetic Algorithm, Data Analytics.
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Using Big Data Analytics to Design an Intelligent Market Basket-Case Study at Sameh Mall
Authors : Saleet, H
Abstract : The long term social, economic and health impacts of the COVID-19 pandemic are still unknown. Retailers should think about the impact this pandemic will have on the customer relationship. Another factor that is rigorously influencing the retail industry is the digital transformation. With the digital transformation worldwide, coupled with the exponential growth of the use of big data analytics, retailers can use intelligent market basket analysis to help in shoring up customer relationships. This study uses big data analytics to design and analyze intelligent market basket in one top retailer in Jordan, "Sameh Mall". It aims to help managers to improve customer relationship while increasing sales. Customers' behavioral similarities analysis results in different baskets, which contain items commonly bought together. Such baskets are displayed physically in stores and are displayed online as promotions. This study results are interesting, enabling Sameh Mall to send recommendations to VIP customers through their account on the online application; and recommendations for physical cross promotional or cross merchandising leading to increases in basket size, increase in sales, as well as increase in customer satisfaction.
Keywords : Intelligent market basket analysis, customized basket, general basket, smart sales and marketing system.
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Enhancing Productivity Of Solar Still With Pyramid Chamber Step-Wise Basin Design
Authors : Abdallah S, Saleet H
Abstract : Improving the performance of the traditional single slope solar still is a pressing need. In this paper, modifications were introduced to the pyramid design, where it has three different faces, and has a Step-wise chamber. Experimental studies were performed in winter where the following interesting results are achieved: the production rate of distilled water of the modified design is up to 85% higher than the traditional design; in addition, temperature gain is 25% higher than traditional design.
Keywords : Solar still Step-wise chamber Pyramid- design
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Outpatient Scheduling Under High Lateness and no-Show–Effect of Basic Appointment Time and Percentage Overloading
Authors : Barghash M, Saleet H
Abstract : Purpose High lateness and no-show percentages pose great challenges on the patient scheduling process. Usually this is addressed by optimizing the time between patients in the scheduling process and the percent of extra patients scheduled to account for absent patients. However, since the patient no-show and lateness is highly stochastic we might end up with many patients showing up on time which leads to crowded clinics and high waiting times. The clinic might end up as well with low utilization of the doctor time. The purpose of this paper is to study the effect of scheduled overload percentages and the patient interval on the waiting time, overtime, and the utilization. Design/methodology/approach Actual data collection and statistical modeling are used to model the distribution for common dentist procedures. Simulation and validation are used to model the treatment process. Then algorithm development is used to model and generate the patient arrival process. The simulation is run for various values of basic interval scheduled time between arrivals for the patients. Further, 3D graphical illustration for the objectives is prepared for the analysis. Findings This work initially reports on the statistical distribution for the common procedures in dentist clinics. This can be used for developing a scheduling system and for validating the scheduling algorithms developed. This work also suggest a model for generating patient arrivals in simulation. It was found that the overtime increases excessively when coupling both high basic interval and high overloading percentage. It was also found that: to obtain low overtime we must reduce the basic interval. Waiting time increases when reducing the basic scheduled appointment interval and increase the scheduled overload percentage. Also doctors' utilization is increased when the basic interval is reduced. Research limitations/implications This work was done at a local clinic and this might limit the value of the modeled procedure times. Practical implications This work presents a statistical model for the various procedures and a detailed technique to model the operations of the clinics and the patient arrival time which might assist researches and developers in developing their own model. This work presents a procedure for troubleshooting scheduling problems in outpatient clinics. For example, a clinic suffering from high patient waiting time is directly instructed to slightly increase their basic scheduled interval between patients or slightly reduce the overloading percentage. Social implications This work is targeting an extremely important constituent of the health-care system which is the outpatient clinics. It is also targeting multiple objectives namely waiting times, utilization overtime, which in turn is related to the economics and doctor utilization. Originality/value This work presents a detailed modeling procedure for the outpatient clinics under high lateness and no-show and addresses the modeling procedure for the patient arrivals. This 3D graphical charting for the objectives includes a study of the multiple objectives that are of high concern to outpatient clinic scheduling interested parties in one paper.
Keywords : Analysis; Capacity management; Clinical effectiveness; Decision making; Patient satisfaction
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Effect of Electrodes' Geometry on Hydrogen and Oxygen Production Using PV Powered Water Electrolyzing System
Authors : Saleet H, Abdallah S., and Yousef E.
Abstract : Water electrolysis is an efficient method for producing hydrogen and oxygen by splitting water. The electrolyzer splits water into hydrogen and oxygen when two electrodes are immersed in that water and then an electric current passes between those two electrodes. The two electrodes are separated by non-electrical conducting material such as resistive Teflon. The production efficiency depends on important design variables such as the electrodes' geometry. This work presents an experimental study that is conducted to investigate effect of the electrodes' geometrical parameters: height and shape and effect of the gap between the two electrodes on hydrogen production. The experimental results shows that the production of hydrogen and oxygen increases as the height of the electrodes increases in both cylindrical and flat plate shaped electrodes. In addition, the gap between the two electrodes affects the production where having smaller gap causes production to increase
Keywords : water electrolyzer, hydrogen and oxygen production, electrodes' geometry, Photovoltaic
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The Effect of Electrical Variables on Hydrogen and Oxygen Production Using a Water Electrolyzing System
Authors :Saleet H, Abdallah S., and Yousef E.
Abstract : Water electrolysis (splitting water) is an efficient method of producing hydrogen and oxygen. The production efficiency depends on important design variables such as the electrical variables. This work presents an experimental study that was conducted to investigate the effect of the following electrical variables: AC voltage amplitude, waveform and frequency, and DC voltage amplitude. The electrolyser splits water into hydrogen and oxygen when an electric current passes between two flat plate shaped electrodes immersed in water and separated by non-electrical conducting material; this material is resistive Teflon. From the experimental results, it can be seen that the square waveform has the maximum hydrogen and oxygen production followed by sawtooth waveform. Therefore, using sinusoidal waveform as the base case, the gain in total productivity can reach up to 489% for sawtooth waveform, and up to 680% for the square waveform. In addition, it is seen from the experimental results that the gain in production of hydrogen and oxygen in case of DC input voltage, for the same range of voltages, can reach up to 1100%. Therefore, it is clear that using DC input voltage such a solar system can enhance the efficiency of hydrogen and oxygen production.
Keywords : Electrical variables; Water electrolyzer; Hydrogen and oxygen production
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Intersection-Based Geographical Routing Protocol for VANETs: A Proposal and Analysis
Authors : Saleet H, Langar R, Naik S, Boutaba R, Nayak A, and Goel N
Abstract : this paper presents a class of routing protocols for vehicular ad hoc networks (VANETs) called the Intersection-based Geographical Routing Protocol (IGRP), which outperforms existing routing schemes in city environments. IGRP is based on an effective selection of road intersections through which a packet must pass to reach the gateway to the Internet. The selection is made in a way that guarantees, with high probability, network connectivity among the road intersections while satisfying quality-of-service (QoS) constraints on tolerable delay, bandwidth usage, and error rate. Geographical forwarding is used to transfer packets between any two intersections on the path, reducing the path's sensitivity to individual node movements. To achieve this, we mathematically formulate the QoS routing problem as a constrained optimization problem. Specifically, analytical expressions for the connectivity probability, end-to-end delay, hop count, and bit error rate (BER) of a route in a two-way road scenario are derived. Then, we propose a genetic algorithm to solve the optimization problem. Numerical and simulation results show that the proposed approach gives optimal or near-optimal solutions and significantly improves VANET performance when compared with several prominent routing protocols, such as greedy perimeter stateless routing (GPSR), greedy perimeter coordinator routing (GPCR), and optimized link-state routing (OLSR).
Keywords :• Ad hoc networks, • Routing protocols, • Logic gates, • Quality of service, • Message systems
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Region-Based Location Service Management Protocols for VANETs
Authors : Saleet H, Basir O,Langar R,and Boutaba R,
Abstract : The efficiency by which a node of a vehicular ad hoc network (VANET) can route messages to destinations heavily depends on the VANET's ability to keep track of the locations of its nodes (vehicles). Current location-management schemes lack scalability and, hence, are proven unable to work in large-scale networks. Therefore, location management in VANETs remains a major challenge. In this paper, we propose a new region-based location-service-management protocol (RLSMP) that uses mobility patterns as means to synthesize node movement and, thus, can be used in large VANET applications. The protocol attempts to relax the scalability issue suffered by other protocols by employing message aggregation in location updating and in querying. Furthermore, due to the protocol's intrinsic locality awareness, it achieves minimum control overhead. To evaluate the efficiency of the protocol, we study its performance analytically and by using simulation for a 2-D random-walk model, as well as on real mobility patterns. The performance of the protocol is compared with that of other prominent location-management protocols.
Keywords :
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