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Quick response manufacturing (QRM) is a relatively new concept that enfolds all the preceding approaches, namely, just in time (JIT), flexible manufacturing, agile manufacturing, and lean production. QRM is compatible with existing materials requirement planning (MRP) systems and can be implemented efficiently. The ideas from QRM have been highly influential in custom-made engineer-to-order and make-to-order (ETO/MTO) high-mix and low-volume production environments. This study investigates the effectiveness of the POLCA (paired cell overlapping loops of cards) integrated QRM framework for reducing lead time. The POLCA integrated QRM approach was implemented in a precise product manufacturing industry. The industry was facing high penalties due to improper planning and uncontrolled lead times. The implementation of QRM with the POLCA framework indicated optimized production scheduling and significant improvement in lead time and work in process (WIP). After implementing the new manufacturing strategy, the performance parameters showed significant improvement in terms of reducing the percentage loss of profit.
Wanzhu Wang; Qazi Khalid; Muhammad Abas; Hao Li; Shakir Azim; Abdur Babar; Waqas Saleem; Razaullah Khan. Implementation of POLCA Integrated QRM Framework for Optimized Production Performance—A Case Study. Sustainability 2021, 13, 3452 .
AMA StyleWanzhu Wang, Qazi Khalid, Muhammad Abas, Hao Li, Shakir Azim, Abdur Babar, Waqas Saleem, Razaullah Khan. Implementation of POLCA Integrated QRM Framework for Optimized Production Performance—A Case Study. Sustainability. 2021; 13 (6):3452.
Chicago/Turabian StyleWanzhu Wang; Qazi Khalid; Muhammad Abas; Hao Li; Shakir Azim; Abdur Babar; Waqas Saleem; Razaullah Khan. 2021. "Implementation of POLCA Integrated QRM Framework for Optimized Production Performance—A Case Study." Sustainability 13, no. 6: 3452.
Closed-loop supply chains (CLSC) are gaining popularity due to their efficiency in addressing economic, environmental, and social concerns. An important point to ponder in the distribution of CLSC is that imperfect refrigeration and bad road conditions may result in product non-conformance during the transit and thus such products are to be returned to the supply node. This may hinder the level of customer satisfaction. This paper presents a sustainable closed-loop supply chain framework coupled with cross-docking subject to product non-conformance. A cost model is proposed to investigate the economic and environmental aspects of such systems. The transportation cost is analyzed in terms of total carbon emissions. A set of metaheuristics are administered to solve the model and a novel lower bound is proposed to relax the complexity of the proposed model. The results of different size problems are compared with the branch and bound approach and the proposed lower bound. The results indicate that the proposed research framework, mathematical model, and heuristic schemes can aid the decision-makers in a closed-loop supply chain context.
Abdul Khan; Qazi Khalid; Khawar Naeem; Rafiq Ahmad; Razaullah Khan; Waqas Saleem; Catalin Pruncu. Application of Exact and Multi-Heuristic Approaches to a Sustainable Closed Loop Supply Chain Network Design. Sustainability 2021, 13, 2433 .
AMA StyleAbdul Khan, Qazi Khalid, Khawar Naeem, Rafiq Ahmad, Razaullah Khan, Waqas Saleem, Catalin Pruncu. Application of Exact and Multi-Heuristic Approaches to a Sustainable Closed Loop Supply Chain Network Design. Sustainability. 2021; 13 (5):2433.
Chicago/Turabian StyleAbdul Khan; Qazi Khalid; Khawar Naeem; Rafiq Ahmad; Razaullah Khan; Waqas Saleem; Catalin Pruncu. 2021. "Application of Exact and Multi-Heuristic Approaches to a Sustainable Closed Loop Supply Chain Network Design." Sustainability 13, no. 5: 2433.
The management of a controllable production in the manufacturing system is essential to achieve viable advantages, particularly during emergency conditions. Disasters, either man-made or natural, affect production and supply chains negatively with perilous effects. On the other hand, flexibility and resilience to manage the perpetuated risks in a manufacturing system are vital for achieving a controllable production rate. Still, these performances are strongly dependent on the multi-criteria decision making in the working environment with the policies launched during the crisis. Undoubtedly, health stability in a society generates ripple effects in the supply chain due to high demand fluctuation, likewise due to the Coronavirus disease-2019 (COVID-19) pandemic. Incorporation of dependent demand factors to manage the risk from uncertainty during this pandemic has been a challenge to achieve a viable profit for the supply chain partners. A non-linear supply chain management model is developed with a controllable production rate to provide an economic benefit to the manufacturing firm in terms of the optimized total cost of production and to deal with the different situations under variable demand. The costs in the model are set as fuzzy to cope up with the uncertain conditions created by lasting pandemic. A numerical experiment is performed by utilizing the data set of the multi-stage manufacturing firm. The optimal results provide support for the industrial managers based on the proactive plan by the optimal utilization of the resources and controllable production rate to cope with the emergencies in a pandemic.
Mohammed Alkahtani; Muhammad Omair; Qazi Salman Khalid; Ghulam Hussain; Imran Ahmad; Catalin Pruncu. A COVID-19 Supply Chain Management Strategy Based on Variable Production under Uncertain Environment Conditions. International Journal of Environmental Research and Public Health 2021, 18, 1662 .
AMA StyleMohammed Alkahtani, Muhammad Omair, Qazi Salman Khalid, Ghulam Hussain, Imran Ahmad, Catalin Pruncu. A COVID-19 Supply Chain Management Strategy Based on Variable Production under Uncertain Environment Conditions. International Journal of Environmental Research and Public Health. 2021; 18 (4):1662.
Chicago/Turabian StyleMohammed Alkahtani; Muhammad Omair; Qazi Salman Khalid; Ghulam Hussain; Imran Ahmad; Catalin Pruncu. 2021. "A COVID-19 Supply Chain Management Strategy Based on Variable Production under Uncertain Environment Conditions." International Journal of Environmental Research and Public Health 18, no. 4: 1662.
Industries tend to manufacture higher quality products with a low cost due to the competitive environmental loop and dynamic customers’ demand. The integration of intelligent manufacturing planning to agricultural operations and products will permit a spike in efficiency of yield, especially in the regions of agriculturally based economies. Though, to gain a vivid exploitation, the old-fashioned agriculture products manufacturing planning and scheduling techniques needs to be revised, especially the methodology in job shop planning must be augmented with efficient operational sequential scheduling. Cellular Manufacturing Systems (CMS) inclined to possess a higher complexity than the traditional manufacturing systems. Three major problems are coping in CMS domain: cell formation, product family selection, and product scheduling. This work deals with the problem of product scheduling in the CMS environment. A mixed integer linear programming mathematical model is introduced for the conflicting performance measures i.e. minimization of work in process (WIP) and maximization of average machine cell utilization. Since the current problem is considered as NP-hard problem, so a modified particle swarm optimization (MPSO) algorithm is proposed to find the optimum scheduling under the given constraint model of conflicting objectives. In the proposed MPSO, basic PSO is integrated with NEH heuristic to achieve better optimal sequence in less computation time. The obtained results are compared with other hybrid PSO algorithms with seed solutions from Gupta and Palmer heuristics. Furthermore, results are also compared against meta-heuristics such as genetic algorithm (GA), standard PSO, and artificial bee colony (ABC) algorithm. It shows that the proposed MPSO algorithm performs better than the existing compared algorithms. A real time case scenario of agriculture-based manufacturing industry is solved to validate the proposed planning algorithm.
Qazi Salman Khalid; Shakir Azim; Muhammad Abas; Abdur Rehman Babar; Imran Ahmad. Modified particle swarm algorithm for scheduling agricultural products. Engineering Science and Technology, an International Journal 2021, 1 .
AMA StyleQazi Salman Khalid, Shakir Azim, Muhammad Abas, Abdur Rehman Babar, Imran Ahmad. Modified particle swarm algorithm for scheduling agricultural products. Engineering Science and Technology, an International Journal. 2021; ():1.
Chicago/Turabian StyleQazi Salman Khalid; Shakir Azim; Muhammad Abas; Abdur Rehman Babar; Imran Ahmad. 2021. "Modified particle swarm algorithm for scheduling agricultural products." Engineering Science and Technology, an International Journal , no. : 1.
The agricultural industry is highly underdeveloped and requires transformation in technology for food safety and reliability. A digital world is relying on blockchain technology for the successful implementation of sustainable e-agricultural supply chain management (e-Agri-SCM). In current advancements of blockchain in digital marketing, product website design (web design) is essential to streamline the requirements of the customer and the expectations of supply chain partners. The current research has incorporated the blockchain effect by web design elements into the agricultural supply chain management (Agri-SCM) study. In addition, partners in the digital marketing supply chain (DM-SCM) are also facing issues to identify significant web design elements-based blockchain technology to gain maximum profit. Therefore, a cooperative (Co-op) sustainable e-agricultural SCM model is developed in this study by considering the web design index and variable demand to decide shipments, selling price, cycle time, and advertisement cost for agriculture products. The uncertainties in the model due to intangible web design elements and basic costs are dealt with by the application of the fuzzy system whereas carbon emission is also considered for providing cleaner production. A real-time application of the proposed model is done by undertaking five different cases based on mutual share, demand curve, and advertisement budget among participants. The sensitivity analysis is also performed to identify important factors of the total profit. Findings of this work include significant web design elements (WDEs) i.e., web graphics, search engine optimization, cyber-security, fast loading, and navigation, as essentials for digital marketing to convince customers towards the product in a global SCM. The numerical results and managerial insights are advantageous for managers to get maximum profit by cooperative and digital marketing strategies to attain e-Agri-SCM.
Mohammed Alkahtani; Qazi Khalid; Muhammad Jalees; Muhammad Omair; Ghulam Hussain; Catalin Pruncu. E-Agricultural Supply Chain Management Coupled with Blockchain Effect and Cooperative Strategies. Sustainability 2021, 13, 816 .
AMA StyleMohammed Alkahtani, Qazi Khalid, Muhammad Jalees, Muhammad Omair, Ghulam Hussain, Catalin Pruncu. E-Agricultural Supply Chain Management Coupled with Blockchain Effect and Cooperative Strategies. Sustainability. 2021; 13 (2):816.
Chicago/Turabian StyleMohammed Alkahtani; Qazi Khalid; Muhammad Jalees; Muhammad Omair; Ghulam Hussain; Catalin Pruncu. 2021. "E-Agricultural Supply Chain Management Coupled with Blockchain Effect and Cooperative Strategies." Sustainability 13, no. 2: 816.
The management of the man–machine interaction is essential to achieve a competitive advantage among production firms and is more highlighted in the processing of agricultural products. The agricultural industry is underdeveloped and requires a transformation in technology. Advances in processing agricultural products (agri-product) are essential to achieve a smart production rate with good quality and to control waste. This research deals with modelling of a controllable production rate by a combination of the workforce and machines to minimize the total cost of production. The optimization of the carbon emission variable and management of the imperfection in processing makes the model eco-efficient. The perishability factor in the model is ignored due to the selection of a single sugar processing firm in the supply chain with a single vendor for the pragmatic application of the proposed research. A non-linear production model is developed to provide an economic benefit to the firms in terms of the minimum total cost with variable cycle time, workforce, machines, and plant production rate. A numerical experiment is performed by utilizing the data set of the agri-processing firm. A derivative free approach, i.e., algebraic approach, is utilized to find the best solution. The sensitivity analysis is performed to support the managers for the development of agricultural product supply chain management (Agri-SCM).
Mohammed Alkahtani; Muhammad Omair; Qazi Salman Khalid; Ghulam Hussain; Biswajit Sarkar. An Agricultural Products Supply Chain Management to Optimize Resources and Carbon Emission Considering Variable Production Rate: Case of Nonperishable Corps. Processes 2020, 8, 1505 .
AMA StyleMohammed Alkahtani, Muhammad Omair, Qazi Salman Khalid, Ghulam Hussain, Biswajit Sarkar. An Agricultural Products Supply Chain Management to Optimize Resources and Carbon Emission Considering Variable Production Rate: Case of Nonperishable Corps. Processes. 2020; 8 (11):1505.
Chicago/Turabian StyleMohammed Alkahtani; Muhammad Omair; Qazi Salman Khalid; Ghulam Hussain; Biswajit Sarkar. 2020. "An Agricultural Products Supply Chain Management to Optimize Resources and Carbon Emission Considering Variable Production Rate: Case of Nonperishable Corps." Processes 8, no. 11: 1505.
Design and manufacturing are the key steps in the sustainable manufacturing of any product to be produced. Within the perspective of injection molds production, increased competitiveness and repeated changes in the design require a complete optimized manufacturing process. Local and minor improvements in the milling process do not generally lead to an optimized manufacturing process. The goal of the new geometry and parametric analysis of the mould is to reduce the quality issues in mild steel grade 60. In this explicit research, the surface roughness (smoothness) of indigenously produced injection moulds in the local market in Pakistan is investigated. The CNC milling machine (five-axis) is used for the manufacturing of an injection mould, and the Taguchi method of the design of the experiment is applied for parameters optimization. Hence, the overall process is assisted in balancing the milling machine parameters to trim down the surface roughness issue in mild steel moulds and increase their sustainability. The spindle speed (rpm), the depth of cut (mm), and the feed rate (mm/rev) are considered as input variables for process optimization, and the experiments are performed on mild steel grade 60. It is deduced that the combination of a spindle speed of 800 rpm, feed rate of 10 mm/rev and depth of cut of 0.5 mm is the best case in case of minimum surface roughness, which leads to sustainable products. It is also deduced from ANOVA, that the spindle speed is a factor that affects the surface roughness of mild steel products, while the feed rate turns out to be insignificant.
Shakir Azim; Sahar Noor; Qazi Salman Khalid; Aqib Mashood Khan; Danil Yurievich Pimenov; Imran Ahmad; Abdur Rehman Babar; Catalin I. Pruncu. Sustainable Manufacturing and Parametric Analysis of Mild Steel Grade 60 by Deploying CNC Milling Machine and Taguchi Method. Metals 2020, 10, 1303 .
AMA StyleShakir Azim, Sahar Noor, Qazi Salman Khalid, Aqib Mashood Khan, Danil Yurievich Pimenov, Imran Ahmad, Abdur Rehman Babar, Catalin I. Pruncu. Sustainable Manufacturing and Parametric Analysis of Mild Steel Grade 60 by Deploying CNC Milling Machine and Taguchi Method. Metals. 2020; 10 (10):1303.
Chicago/Turabian StyleShakir Azim; Sahar Noor; Qazi Salman Khalid; Aqib Mashood Khan; Danil Yurievich Pimenov; Imran Ahmad; Abdur Rehman Babar; Catalin I. Pruncu. 2020. "Sustainable Manufacturing and Parametric Analysis of Mild Steel Grade 60 by Deploying CNC Milling Machine and Taguchi Method." Metals 10, no. 10: 1303.
Precise, economical and sustainable cutting operations are highly desirable in the advanced manufacturing environment. For this aim, the present study investigated the influence of cutting parameters (i.e., the cutting speed (c), feed rate (f), depth of cut (d) and positive rake angle (p)) and sustainable cutting conditions (dry and minimum quantity lubricant (MQL)) on cutting forces (i.e., feed force (Ff), tangential forces (Ft), radial force (Fr) and resultant cutting forces (Fc) and shape deviations (i.e., circularity and cylindricity) of a 6026-T9 aluminum alloy. The type of lubricant and insert used are virgin olive oil and uncoated tungsten carbide tool. Turning experiments were performed on a TAKISAWA TC-1 CNC lathe machine and cutting forces were measured with the help of a Kistler 9257B dynamometer. Shape deviations were evaluated by means of a Tesa Micro-Hite 3D DCC 474 coordinate measuring machine (CMM). Experimental runs were planned based on Taguchi mixture orthogonal array design L16. Analysis of variance (ANOVA) was performed to study the statistical significance of cutting parameters. Taguchi based signal to noise (S/N) ratios are applied for optimization of single response, while for optimization of multiple responses Taguchi based signal to noise (S/N) ratios coupled with multi-objective optimization on the basis of ratio analysis (MOORA) and criteria importance through inter-criteria correlation (CRITIC) are employed. ANOVA results revealed that feed rate, followed by a depth of cut, are the most influencing and contributing factors for all components of cutting forces (Ff, Ft, Fr, and Fc) and shape deviations (circularity and cylindricity). The optimized cutting parameters obtained for multi responses are c = 600 m/min, f = 0.1 mm/rev, d = 1 mm and p = 25°, while for cutting conditions, MQL is optimal.
Muhammad Abas; Bashir Salah; Qazi Salman Khalid; Iftikhar Hussain; Abdur Rehman Babar; Rashid Nawaz; Razaullah Khan; Waqas Saleem. Experimental Investigation and Statistical Evaluation of Optimized Cutting Process Parameters and Cutting Conditions to Minimize Cutting Forces and Shape Deviations in Al6026-T9. Materials 2020, 13, 4327 .
AMA StyleMuhammad Abas, Bashir Salah, Qazi Salman Khalid, Iftikhar Hussain, Abdur Rehman Babar, Rashid Nawaz, Razaullah Khan, Waqas Saleem. Experimental Investigation and Statistical Evaluation of Optimized Cutting Process Parameters and Cutting Conditions to Minimize Cutting Forces and Shape Deviations in Al6026-T9. Materials. 2020; 13 (19):4327.
Chicago/Turabian StyleMuhammad Abas; Bashir Salah; Qazi Salman Khalid; Iftikhar Hussain; Abdur Rehman Babar; Rashid Nawaz; Razaullah Khan; Waqas Saleem. 2020. "Experimental Investigation and Statistical Evaluation of Optimized Cutting Process Parameters and Cutting Conditions to Minimize Cutting Forces and Shape Deviations in Al6026-T9." Materials 13, no. 19: 4327.
The lower lead time and increasing demand for good quality parts require the industries to produce the parts manufactured sustainably with higher precision, improved productivity, and low cost using new techniques. Minimum quantity lubricant (MQL) is one of these techniques, which is economical and eco-friendly. This paper deals with the analysis and multi-response optimization of cutting process parameters of Aluminum alloy 6026-T9 in MQL and dry conditions using an integrated approach of composite desirability function and criteria importance through inter-criteria (CRITIC). The cutting parameters considered for the study are cutting speed, feed rate, depth of cut, and positive rank angle, while the responses are surface roughness profile (Ra, Rq, Rz), tool life and material removal rate. The type of insert used was a tungsten carbide, while the coolant was minimum quantity lubricant (MQL) vegetable oil (olive oil) performed at 150 mL/hr. Taguchi orthogonal array (L16) using sixteen experimental runs are designed for machining. Based on analysis of variance (ANOVA) it is identified that the most significant cutting process parameters for surface roughness profile (Ra, Rq, Rz) under both dry and MQL conditions are the feed rate, while for the tool life are cutting speed and feed rate and for material removal rate is cutting speed followed by depth of cut and feed rate. Under dry conditions the optimized levels obtained are cutting speed of 500 m/min, the feed rate of 0.3 mm/rev, depth of cut of 2 mm, and positive rake angle of 15°. However for MQL condition are cutting speed of 500 m/min, the feed rate of 0.4 mm/rev, depth of cut of 2 mm, and positive rake angle of 15°. Finally, the machined worked piece surface and inserts are morphologically characterized at different cutting parameters using scanning electron microscopy (SEM) and Energy Dispersive X-Ray Analysis (EDX).
Muhammad Abas; Lal Sayd; Rehman Akhtar; Qazi Salman Khalid; Aqib Mashood Khan; Catalin Iulian Pruncu. Optimization of machining parameters of aluminum alloy 6026-T9 under MQL-assisted turning process. Journal of Materials Research and Technology 2020, 9, 10916 -10940.
AMA StyleMuhammad Abas, Lal Sayd, Rehman Akhtar, Qazi Salman Khalid, Aqib Mashood Khan, Catalin Iulian Pruncu. Optimization of machining parameters of aluminum alloy 6026-T9 under MQL-assisted turning process. Journal of Materials Research and Technology. 2020; 9 (5):10916-10940.
Chicago/Turabian StyleMuhammad Abas; Lal Sayd; Rehman Akhtar; Qazi Salman Khalid; Aqib Mashood Khan; Catalin Iulian Pruncu. 2020. "Optimization of machining parameters of aluminum alloy 6026-T9 under MQL-assisted turning process." Journal of Materials Research and Technology 9, no. 5: 10916-10940.
Welding distortion is a critical issue as it leads to severe deterioration of structural integrity of welded work piece and dimensional precision. This study aims at studying the effects of shielded metal arc welding (SMAW) parameters on the evolution of mechanical properties, including tensile strength, impact toughness, and hardness, along with angular distortion on a welded joint from SA 516 grade 70. Such parameters are analyzed and optimized by employing the Taguchi method and Grey relational analysis. SA 516 grade 70 is commercially used for fabrication of storage tanks, boilers and pressure vessels. SMAW is investigated with three levels of root gap, groove angle, electrode diameter, and pre-heat temperature, which were varied on a butt joint in flat (1 G) position to determine their effects on response variables at room temperature. Nine experiments were designed using a Taguchi L9 orthogonal array, welded according to American Society of Mechanical Engineers (ASME) section IX, and samples were prepared and tested as per ASTM A 370. The Taguchi method and Grey relational analysis were employed to observe the most significant parameters and optimal levels that synergically yield improved responses. Results are validated by conducting confirmatory experiments that show good agreement with optimum results.
Mohsin Iqbal Qazi; Rehman Akhtar; Muhammad Abas; Qazi Salman Khalid; Abdur Rehman Babar; Catalin Iulian Pruncu. An Integrated Approach of GRA Coupled with Principal Component Analysis for Multi-Optimization of Shielded Metal Arc Welding (SMAW) Process. Materials 2020, 13, 3457 .
AMA StyleMohsin Iqbal Qazi, Rehman Akhtar, Muhammad Abas, Qazi Salman Khalid, Abdur Rehman Babar, Catalin Iulian Pruncu. An Integrated Approach of GRA Coupled with Principal Component Analysis for Multi-Optimization of Shielded Metal Arc Welding (SMAW) Process. Materials. 2020; 13 (16):3457.
Chicago/Turabian StyleMohsin Iqbal Qazi; Rehman Akhtar; Muhammad Abas; Qazi Salman Khalid; Abdur Rehman Babar; Catalin Iulian Pruncu. 2020. "An Integrated Approach of GRA Coupled with Principal Component Analysis for Multi-Optimization of Shielded Metal Arc Welding (SMAW) Process." Materials 13, no. 16: 3457.
One of the main issues in a paper mill is the minimization of trim loss when cutting master reels and stocked reels into reels of smaller required widths. The losses produced in trimming at a paper mill are reprocessed by using different chemicals which contributes to significant discharge of effluent to surface water and causes environmental damage. This paper presents a real-world industrial problem of production planning and cutting optimization of reels at a paper mill and differs from other cutting stock problems by considering production and cutting of master reels of flexible widths and cutting already stocked over-produced and useable leftover reels of smaller widths. The cutting process of reels is performed with a limited number of cutting knives at the winder. The problem is formulated as a linear programming model where the generation of all feasible cutting patterns determines the columns of the constraint matrix. The model is solved optimally using simplex algorithm with the objective of trim loss minimization while satisfying a set of constraints. The solution obtained is rounded in a post-optimization procedure in order to satisfy integer constraints. When tested on data from the paper mill, the results of the proposed model showed a significant reduction in trim loss and outperformed traditional exact approaches. The cutting optimization resulted in minimum losses in paper trimming and a lesser amount of paper is reprocessed to make new reels which reduced the discharge of effluent to the environment.
Razaullah Khan; Catalin Iulian Pruncu; Abdul Salam Khan; Khawar Naeem; Muhammad Abas; Qazi Salman Khalid; Asnaf Aziz. A Mathematical Model for Reduction of Trim Loss in Cutting Reels at a Make-to-Order Paper Mill. Applied Sciences 2020, 10, 5274 .
AMA StyleRazaullah Khan, Catalin Iulian Pruncu, Abdul Salam Khan, Khawar Naeem, Muhammad Abas, Qazi Salman Khalid, Asnaf Aziz. A Mathematical Model for Reduction of Trim Loss in Cutting Reels at a Make-to-Order Paper Mill. Applied Sciences. 2020; 10 (15):5274.
Chicago/Turabian StyleRazaullah Khan; Catalin Iulian Pruncu; Abdul Salam Khan; Khawar Naeem; Muhammad Abas; Qazi Salman Khalid; Asnaf Aziz. 2020. "A Mathematical Model for Reduction of Trim Loss in Cutting Reels at a Make-to-Order Paper Mill." Applied Sciences 10, no. 15: 5274.
Rehman Akhtar; Khizar Azam; Abdur Rehman Babar; Qazi Salman Khalid; Rashid Nawaz; Imran Ahmad. Site Selection of Solar Farms Deploying Fuzzy Analytical Hierarchy Process (F-AHP) A KPK Based Study. Journal of Engineering and Applied Sciences 2020, 39, 1 .
AMA StyleRehman Akhtar, Khizar Azam, Abdur Rehman Babar, Qazi Salman Khalid, Rashid Nawaz, Imran Ahmad. Site Selection of Solar Farms Deploying Fuzzy Analytical Hierarchy Process (F-AHP) A KPK Based Study. Journal of Engineering and Applied Sciences. 2020; 39 (1):1.
Chicago/Turabian StyleRehman Akhtar; Khizar Azam; Abdur Rehman Babar; Qazi Salman Khalid; Rashid Nawaz; Imran Ahmad. 2020. "Site Selection of Solar Farms Deploying Fuzzy Analytical Hierarchy Process (F-AHP) A KPK Based Study." Journal of Engineering and Applied Sciences 39, no. 1: 1.
Electrical discharge machining is a non-traditional machining method broadly employed in industries for machining of parts that have typical profiles and require great accuracy. This paper investigates the effects of electrical parameters: pulse-on-time and current on three performance measures (material removal rate, microstructures and electrode wear rate), using distilled water and kerosene as dielectrics. A comparison between dielectrics for the machining of aluminum 6061 T6 alloy material in terms of performance measures was performed. Aluminum 6061 T6 alloy material was selected, because of its growing use in the automotive and aerospace industrial sectors. The experimental sequence was designed using Taguchi technique of L9 orthogonal array by changing three levels of pulse-on-time and current, and test runs were performed separately for each dielectric. The results obtained show that greater electrode wear rate (EWR) and higher material removal rate (MRR) were achieved with distilled water when compared with kerosene. These greater EWR and MRR responses can be attributed to the early breakage of the weak oxide and carbide layers formed on the tool and alloy material surfaces, respectively. The innovative contributions of this study include, but are not limited to, the possibility of machining of aluminum 6061 T6 alloy with graphite electrode to enhance machinability and fast cutting rate employing two different dielectrics.
Misbah Niamat; Shoaib Sarfraz; Essam Shehab; Sikiru Oluwarotimi Ismail; Qazi Salman Khalid. Experimental Characterization of Electrical Discharge Machining of Aluminum 6061 T6 Alloy using Different Dielectrics. Arabian Journal for Science and Engineering 2019, 44, 8043 -8052.
AMA StyleMisbah Niamat, Shoaib Sarfraz, Essam Shehab, Sikiru Oluwarotimi Ismail, Qazi Salman Khalid. Experimental Characterization of Electrical Discharge Machining of Aluminum 6061 T6 Alloy using Different Dielectrics. Arabian Journal for Science and Engineering. 2019; 44 (9):8043-8052.
Chicago/Turabian StyleMisbah Niamat; Shoaib Sarfraz; Essam Shehab; Sikiru Oluwarotimi Ismail; Qazi Salman Khalid. 2019. "Experimental Characterization of Electrical Discharge Machining of Aluminum 6061 T6 Alloy using Different Dielectrics." Arabian Journal for Science and Engineering 44, no. 9: 8043-8052.
Industries have to produce high quality products with low cost because of the competitive environment and customer demand. To cope with the increasing demand of customized products at low cost, the concept of cellular manufacturing systems (CMS) has been introduced under the umbrella of lean manufacturing. Industries are facing three major problems in CMS; selection of product families, cell formation and products scheduling. This paper deals with the products scheduling problem in CMS. As it is a non-deterministic polynomial-time (NP) hard problem, a hybrid particle swarm optimization algorithm with Nawaz, Enscore, Ham-NEH (NEPSO) embedded with local search is proposed to find optimized sequence results for two conflicting performance measures (work in process and machine cell utilization). Here, particle swarm optimization (PSO) is integrated with an NEH algorithm to quickly achieve better optimal sequence. For this purpose, the solution obtained from the NEH algorithm is used as a seed for PSO optimization. A mathematical model is presented for conflicting performance measures; minimization of work in process (WIP) and maximization of average machine cell utilization. A case study of automotive manufacturing cells was conducted. Results of the NEPSO were compared with the existing method, standard PSO, genetic algorithm (GA), and NEH algorithm, showing that the NEPSO performed better in term of problem optimization of the cellular layouts.
Qazi Salman Khalid; Muhammad Arshad; Shahid Maqsood; Mirza Jahanzaib; Abdur Rehman Babar; Imran Khan; Jabir Mumtaz; Sunghwan Kim; Khan; Kim. Hybrid Particle Swarm Algorithm for Products’ Scheduling Problem in Cellular Manufacturing System. Symmetry 2019, 11, 729 .
AMA StyleQazi Salman Khalid, Muhammad Arshad, Shahid Maqsood, Mirza Jahanzaib, Abdur Rehman Babar, Imran Khan, Jabir Mumtaz, Sunghwan Kim, Khan, Kim. Hybrid Particle Swarm Algorithm for Products’ Scheduling Problem in Cellular Manufacturing System. Symmetry. 2019; 11 (6):729.
Chicago/Turabian StyleQazi Salman Khalid; Muhammad Arshad; Shahid Maqsood; Mirza Jahanzaib; Abdur Rehman Babar; Imran Khan; Jabir Mumtaz; Sunghwan Kim; Khan; Kim. 2019. "Hybrid Particle Swarm Algorithm for Products’ Scheduling Problem in Cellular Manufacturing System." Symmetry 11, no. 6: 729.
In this paper, a closed-loop supply chain composed of dual-channel retailers and manufacturers, a dynamic game model under the direct recovery, and an entrusted third-party recycling mode of the manufacturer is constructed. The impact of horizontal fairness concern behavior is introduced on the pricing strategies and utility of decision makers under different recycling models. The equilibrium strategy at fair neutrality is used as a reference to compare offline retails sales. Research shows that in the closed-loop supply chain of dual-channel sales, whether in the case of fair neutrality or horizontal fairness concerns, the manufacturer’s direct recycling model is superior to the entrusted third-party recycling, and the third-party recycling model is transferred by the manufacturer. In the direct recycling model, the horizontal fairness concern of offline retailers makes two retailers in the positive supply chain compete to lower the retail price in order to increase market share. Manufacturers will lower the wholesale price to encourage competition, and the price will be the horizontal fairness concern coefficient, which is negatively correlated. In the reverse supply chain, manufacturers increase the recycling rate of used products. This pricing strategy increases the utility of manufacturers and the entire supply chain system compared to fair neutral conditions, while two retailers receive diminished returns. Manufacturers, as channel managers to encourage retailers to compete for price cuts, can be coordinated through a three-way revenue sharing contract to achieve Pareto optimality.
Muhammad Arshad; Qazi Salman Khalid; Jaime Lloret; Antonio Leon. An Efficient Approach for Coordination of Dual-Channel Closed-Loop Supply Chain Management. Sustainability 2018, 10, 3433 .
AMA StyleMuhammad Arshad, Qazi Salman Khalid, Jaime Lloret, Antonio Leon. An Efficient Approach for Coordination of Dual-Channel Closed-Loop Supply Chain Management. Sustainability. 2018; 10 (10):3433.
Chicago/Turabian StyleMuhammad Arshad; Qazi Salman Khalid; Jaime Lloret; Antonio Leon. 2018. "An Efficient Approach for Coordination of Dual-Channel Closed-Loop Supply Chain Management." Sustainability 10, no. 10: 3433.