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Early diagnosis of pandemic diseases such as COVID-19 can prove beneficial in dealing with difficult situations and helping radiologists and other experts manage staffing more effectively. The application of deep learning techniques for genetics, microscopy, and drug discovery has created a global impact. It can enhance and speed up the process of medical research and development of vaccines, which is required for pandemics such as COVID-19. However, current drugs such as remdesivir and clinical trials of other chemical compounds have not shown many impressive results. Therefore, it can take more time to provide effective treatment or drugs. In this paper, a deep learning approach based on logistic regression, SVM, Random Forest, and QSAR modeling is suggested. QSAR modeling is done to find the drug targets with protein interaction along with the calculation of binding affinities. Then deep learning models were used for training the molecular descriptor dataset for the robust discovery of drugs and feature extraction for combating COVID-19. Results have shown more significant binding affinities (greater than −18) for many molecules that can be used to block the multiplication of SARS-CoV-2, responsible for COVID-19.
Nishant Jha; Deepak Prashar; Mamoon Rashid; Mohammad Shafiq; Razaullah Khan; Catalin I. Pruncu; Shams Tabrez Siddiqui; M. Saravana Kumar. Deep Learning Approach for Discovery of In Silico Drugs for Combating COVID-19. Journal of Healthcare Engineering 2021, 2021, 1 -13.
AMA StyleNishant Jha, Deepak Prashar, Mamoon Rashid, Mohammad Shafiq, Razaullah Khan, Catalin I. Pruncu, Shams Tabrez Siddiqui, M. Saravana Kumar. Deep Learning Approach for Discovery of In Silico Drugs for Combating COVID-19. Journal of Healthcare Engineering. 2021; 2021 ():1-13.
Chicago/Turabian StyleNishant Jha; Deepak Prashar; Mamoon Rashid; Mohammad Shafiq; Razaullah Khan; Catalin I. Pruncu; Shams Tabrez Siddiqui; M. Saravana Kumar. 2021. "Deep Learning Approach for Discovery of In Silico Drugs for Combating COVID-19." Journal of Healthcare Engineering 2021, no. : 1-13.
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.
Minimum quantity lubricant (MQL) is an advanced technique in machining to achieve sustainability, productivity, higher precision, economic benefits, and a reduction in carbon footprints. The present research work aims to investigate the effect of the cutting process parameters of the end milling of AA5005H34 material under dry and MQL cutting environments. The key performance indicators of machining include the surface roughness profile, the material removal rate, and tool wear. Surface roughness parameters are measured with the help of the Mitutoyo surface roughness tester, and the cutting tool wear is measured according to the ISO 8688-2:1989 standard using a scanning electron microscope (SEM). Sixteen experiments are designed based on the Taguchi orthogonal array mixture design. Single responses are optimized based on signal to noise ratios, while for multi-response optimization composite desirability function coupled with principal component analysis is applied. Analysis of variance (ANOVA) results revealed that the feed rate followed by spindle speed, axial depth of the cut, width of the cut, and cutting environment are the most significant factors contributing to the surface roughness profile, material removal rate, and tool wear. The optimized parameters are obtained as cutting speed of 3000 rev/min, feed rate of 350 mm/min, axial depth of cut of 2 mm, and width of cut of 6 mm under an MQL environment.
Mohsin Qazi; Muhammad Abas; Razaullah Khan; Waqas Saleem; Catalin Pruncu; Muhammad Omair. Experimental Investigation and Multi-Response Optimization of Machinability of AA5005H34 Using Composite Desirability Coupled with PCA. Metals 2021, 11, 235 .
AMA StyleMohsin Qazi, Muhammad Abas, Razaullah Khan, Waqas Saleem, Catalin Pruncu, Muhammad Omair. Experimental Investigation and Multi-Response Optimization of Machinability of AA5005H34 Using Composite Desirability Coupled with PCA. Metals. 2021; 11 (2):235.
Chicago/Turabian StyleMohsin Qazi; Muhammad Abas; Razaullah Khan; Waqas Saleem; Catalin Pruncu; Muhammad Omair. 2021. "Experimental Investigation and Multi-Response Optimization of Machinability of AA5005H34 Using Composite Desirability Coupled with PCA." Metals 11, no. 2: 235.
This research focuses on the mediating role of construction materials, sustainable use between the construction supply chain integration and the construction industry performance. In this concern, the case of Pakistan was considered specifically. The research design employed in this study was quantitative and a close-ended survey questionnaire was used as a research instrument. The sample size used is comprised of 300 participants and analysis was performed through the Structural Equation Modelling (SEM). The results revealed that the effect of the components of supply chain integration on the construction industry performance was statistically significant. Moreover, outcomes also substantiate the mediation role of using construction material sustainably. The scope of the research was limited to the construction industry of Pakistan; however, future research would focus on other countries and industries.
Asad Kamal; Rai Azfar; Bashir Salah; Waqas Saleem; Muhammad Abas; Razaullah Khan; Catalin Pruncu. Quantitative Analysis of Sustainable Use of Construction Materials for Supply Chain Integration and Construction Industry Performance through Structural Equation Modeling (SEM). Sustainability 2021, 13, 522 .
AMA StyleAsad Kamal, Rai Azfar, Bashir Salah, Waqas Saleem, Muhammad Abas, Razaullah Khan, Catalin Pruncu. Quantitative Analysis of Sustainable Use of Construction Materials for Supply Chain Integration and Construction Industry Performance through Structural Equation Modeling (SEM). Sustainability. 2021; 13 (2):522.
Chicago/Turabian StyleAsad Kamal; Rai Azfar; Bashir Salah; Waqas Saleem; Muhammad Abas; Razaullah Khan; Catalin Pruncu. 2021. "Quantitative Analysis of Sustainable Use of Construction Materials for Supply Chain Integration and Construction Industry Performance through Structural Equation Modeling (SEM)." Sustainability 13, no. 2: 522.
Cold-chain products are time-sensitive and perishable and pose the risk of failure if they are transported to a distant location. Thus, there is a need to analyze their quality during distribution so that the customers may receive optimal-quality products. To address this issue, this study integrates inspection strategies with the sustainable distribution system of multi-quality multiple-cold-chain products. A bi-objective model of cost and emission is proposed under the constraints of heterogeneous vehicle and time window. Furthermore, this study intends to address the following questions: which inspection strategy helps to ensure the potency of delivered products, and what is the impact of quality differentiation on the value of objective functions? A set of meta-heuristics is used for implementing the model using a rich panel of experiments. The results reveal that the quality conditions of different products impact the solutions of cost and emissions. Moreover, the conformity strategy is more viable, as it results in less cost and ensures that the quantity of delivered products meets the level of demand. Finally, the study provides implications for managers and practitioners to develop a sustainable distribution system to maintain the quality of cold-chain products.
Abdul Salam Khan; Bashir Salah; Dominik Zimon; Muhammad Ikram; Razaullah Khan; Catalin I. Pruncu. A Sustainable Distribution Design for Multi-Quality Multiple-Cold-Chain Products: An Integrated Inspection Strategies Approach. Energies 2020, 13, 6612 .
AMA StyleAbdul Salam Khan, Bashir Salah, Dominik Zimon, Muhammad Ikram, Razaullah Khan, Catalin I. Pruncu. A Sustainable Distribution Design for Multi-Quality Multiple-Cold-Chain Products: An Integrated Inspection Strategies Approach. Energies. 2020; 13 (24):6612.
Chicago/Turabian StyleAbdul Salam Khan; Bashir Salah; Dominik Zimon; Muhammad Ikram; Razaullah Khan; Catalin I. Pruncu. 2020. "A Sustainable Distribution Design for Multi-Quality Multiple-Cold-Chain Products: An Integrated Inspection Strategies Approach." Energies 13, no. 24: 6612.
Three-dimensional printed plastic products developed through fused deposition modeling (FDM) endure long-term loading in most of the applications. The tensile creep behavior of such products is one of the imperative benchmarks to ensure dimensional stability under cyclic and dynamic loads. This research dealt with the optimization of the tensile creep behavior of 3D printed parts produced through fused deposition modeling (FDM) using polylactic acid (PLA) material. The geometry of creep test specimens follows the American Society for Testing and Materials (ASTM D2990) standards. Three-dimensional printing is performed on an open-source MakerBot desktop 3D printer. The Response Surface Methodology (RSM) is employed to predict the creep rate and rupture time by undertaking the layer height, infill percentage, and infill pattern type (linear, hexagonal, and diamond) as input process parameters. A total of 39 experimental runs were planned by means of a categorical central composite design. The analysis of variance (ANOVA) results revealed that the most influencing factors for creep rate were layer height, infill percentage, and infill patterns, whereas, for rupture time, infill pattern was found significant. The optimized levels obtained for both responses for hexagonal pattern were 0.1 mm layer height and 100% infill percentage. Some verification tests were performed to evaluate the effectiveness of the adopted RSM technique. The implemented research is believed to be a comprehensive guide for the additive manufacturing users to determine the optimum process parameters of FDM which influence the product creep rate and rupture time.
Muhammad Waseem; Bashir Salah; Tufail Habib; Waqas Saleem; Muhammad Abas; Razaullah Khan; Usman Ghani; Muftooh Ur Rehman Siddiqi. Multi-Response Optimization of Tensile Creep Behavior of PLA 3D Printed Parts Using Categorical Response Surface Methodology. Polymers 2020, 12, 2962 .
AMA StyleMuhammad Waseem, Bashir Salah, Tufail Habib, Waqas Saleem, Muhammad Abas, Razaullah Khan, Usman Ghani, Muftooh Ur Rehman Siddiqi. Multi-Response Optimization of Tensile Creep Behavior of PLA 3D Printed Parts Using Categorical Response Surface Methodology. Polymers. 2020; 12 (12):2962.
Chicago/Turabian StyleMuhammad Waseem; Bashir Salah; Tufail Habib; Waqas Saleem; Muhammad Abas; Razaullah Khan; Usman Ghani; Muftooh Ur Rehman Siddiqi. 2020. "Multi-Response Optimization of Tensile Creep Behavior of PLA 3D Printed Parts Using Categorical Response Surface Methodology." Polymers 12, no. 12: 2962.
The influence of cutting forces during the machining of titanium alloys has attained prime attention in selecting the optimal cutting conditions to improve the surface integrity of medical implants and biomedical devices. So far, it has not been easy to explain the chip morphology of Ti6Al4V and the thermo-mechanical interactions involved during the cutting process. This paper investigates the chip configuration of the Ti6Al4V alloy under dry milling conditions at a macro and micro scale by employing the Johnson-Cook material damage model. 2D modeling, numerical milling simulations, and post-processing were conducted using the Abaqus/Explicit commercial software. The uncut chip geometry was modeled with variable thicknesses to accomplish the macro to micro-scale cutting by adapting a trochoidal path. Numerical results, predicted for the cutting reaction forces and shearing zone temperatures, were found in close approximation to experimental ones with minor deviations. Further analyses evaluated the influence of cutting speeds and contact friction coefficients over the chip flow stress, equivalent plastic strain, and chip morphology. The methodology developed can be implemented in resolving the industrial problems in the biomedical sector for predicting the chip morphology of the Ti6Al4V alloy, fracture mechanisms of hard-to-cut materials, and the effects of different cutting parameters on workpiece integrity.
Waqas Saleem; Bashir Salah; Xavier Velay; Rafiq Ahmad; Razaullah Khan; Catalin I. Pruncu. Numerical Modeling and Analysis of Ti6Al4V Alloy Chip for Biomedical Applications. Materials 2020, 13, 5236 .
AMA StyleWaqas Saleem, Bashir Salah, Xavier Velay, Rafiq Ahmad, Razaullah Khan, Catalin I. Pruncu. Numerical Modeling and Analysis of Ti6Al4V Alloy Chip for Biomedical Applications. Materials. 2020; 13 (22):5236.
Chicago/Turabian StyleWaqas Saleem; Bashir Salah; Xavier Velay; Rafiq Ahmad; Razaullah Khan; Catalin I. Pruncu. 2020. "Numerical Modeling and Analysis of Ti6Al4V Alloy Chip for Biomedical Applications." Materials 13, no. 22: 5236.
Determining replenishment lot size and number of shipments in a traditional production setup has been of great interest among researchers during the last decades. In order to survive modern competition, the manufacturer has to make good decisions about the lot size that is to be shipped to the retailer. Recently, several researchers have developed mathematical models for modelling different real-world situations; however, these models are lacking due to a combination of imperfection in process and shipment lot sizing. Therefore, in the proposed research, shipment policy for an imperfect production setup has been developed with transportation costs taken into consideration. The model analyzed lot sizing for manufacturers and retailers with imperfections in terms of equally sized shipments. Furthermore, an all-unit-discount policy for shipment is considered in the proposed research, and at the end, numerical computation and sensitivity analyses are carried out to gain more insight into the specifications of the model.
Mubashir Hayat; Bashir Salah; Misbah Ullah; Iftikhar Hussain; Razaullah Khan. Shipment Policy for an Economic Production Quantity Model Considering Imperfection and Transportation Cost. Sustainability 2020, 12, 8964 .
AMA StyleMubashir Hayat, Bashir Salah, Misbah Ullah, Iftikhar Hussain, Razaullah Khan. Shipment Policy for an Economic Production Quantity Model Considering Imperfection and Transportation Cost. Sustainability. 2020; 12 (21):8964.
Chicago/Turabian StyleMubashir Hayat; Bashir Salah; Misbah Ullah; Iftikhar Hussain; Razaullah Khan. 2020. "Shipment Policy for an Economic Production Quantity Model Considering Imperfection and Transportation Cost." Sustainability 12, no. 21: 8964.
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.
This study proposes a methodology for the oil and gas businesses to keep their production plant productive with a minimum investment in carrying maintenance, repair, and operating inventory planning. The goal is to assist the exploration and production companies in minimizing the investment in keeping maintenance, repair, and operating (MRO) inventory for improving production plant uptime. The MRO inventory is the most expensive asset and it requires substantial investment. It helps in keeping the oil and gas production plant productive by performing planned and unplanned maintenance activities. A (Q, r) model with a stock-out and backorder cost approach is combined with a continuous inventory review policy for the analysis of class A items of oil and gas production plant MRO inventory. The class A items are identified through popular ABC analysis based on annual dollar volume. The demand for the inventory is modeled through Poisson distribution with consideration of constant lead time. The (Q, r) model in both stock-out cost and backorder cost approaches assigned higher order frequency and lower service level to low annual demand and highly expensive items. The stock-out cost approach shows an 8.88% increase in the average service level and a 56.9% decrease in the company average inventory investment. The backorder cost approach results in a 7.77% increase in average service level and a 57% decrease in average inventory investment in contrast to the company’s existing inventory management system. The results have a direct impact on increasing plant uptime and productivity and reducing company maintenance cost through properly managing maintenance stock. The analysis is carried out on the oil and gas production plant’s MRO inventory data, but it can be applied to other companies’ inventory data as well. All the results reflected in this research are based on the inventory ordering policy of two orders per year. The inventory ordering frequency per year may be other than two orders per year depending on the type of organization.
Usman Ali; Bashir Salah; Khawar Naeem; Abdul Khan; Razaullah Khan; Catalin Pruncu; Muhammad Abas; Saadat Khan. Improved MRO Inventory Management System in Oil and Gas Company: Increased Service Level and Reduced Average Inventory Investment. Sustainability 2020, 12, 8027 .
AMA StyleUsman Ali, Bashir Salah, Khawar Naeem, Abdul Khan, Razaullah Khan, Catalin Pruncu, Muhammad Abas, Saadat Khan. Improved MRO Inventory Management System in Oil and Gas Company: Increased Service Level and Reduced Average Inventory Investment. Sustainability. 2020; 12 (19):8027.
Chicago/Turabian StyleUsman Ali; Bashir Salah; Khawar Naeem; Abdul Khan; Razaullah Khan; Catalin Pruncu; Muhammad Abas; Saadat Khan. 2020. "Improved MRO Inventory Management System in Oil and Gas Company: Increased Service Level and Reduced Average Inventory Investment." Sustainability 12, no. 19: 8027.
This research aims to explore the effects of nanoparticles such as alumina (Al2O3) on the physical and mechanical properties of medium density fiberboards (MDF). The nanoparticles are added in urea-formaldehyde (UF) resin with different concentration levels e.g., 1.5%, 3%, and 4.5% by weight. A combination of forest fibers such as Populus Deltuidess (Poplar) and Euamericana (Ghaz) are used as a composite reinforcement due to their exceptional abrasion confrontation as well as their affordability and economic value with Al2O3-UF as a matrix or nanofillers for making the desired nanocomposite specimens. Thermo-gravimetric analysis (TGA) and thermal analytical analysis (TAA) in the form of differential scanning calorimetry (DSC) are carried out and it has been found that increasing the percentage of alumina nanoparticles leads to an increase in the total heat content. The mechanical properties such as internal bonding (IB), modulus of elasticity (MOE) and modulus of rupture (MOR), and physical properties such as density, water absorption (WA), and thickness swelling (TS) of the specimens have been investigated. The experimental results showed that properties of the new Nano-MDF are higher when compared to the normal samples. The results also showed that increasing the concentration of alumina nanoparticles in the urea-formaldehyde resin effects the mechanical properties of panels considerably.
Hisham Alabduljabbar; Rayed Alyousef; Waheed Gul; Syed Riaz Akbar Shah; Afzal Khan; Razaullah Khan; Abdulaziz Alaskar. Effect of Alumina Nano-Particles on Physical and Mechanical Properties of Medium Density Fiberboard. Materials 2020, 13, 4207 .
AMA StyleHisham Alabduljabbar, Rayed Alyousef, Waheed Gul, Syed Riaz Akbar Shah, Afzal Khan, Razaullah Khan, Abdulaziz Alaskar. Effect of Alumina Nano-Particles on Physical and Mechanical Properties of Medium Density Fiberboard. Materials. 2020; 13 (18):4207.
Chicago/Turabian StyleHisham Alabduljabbar; Rayed Alyousef; Waheed Gul; Syed Riaz Akbar Shah; Afzal Khan; Razaullah Khan; Abdulaziz Alaskar. 2020. "Effect of Alumina Nano-Particles on Physical and Mechanical Properties of Medium Density Fiberboard." Materials 13, no. 18: 4207.
Closed-loop supply chain networks are gaining research popularity due to environmental, economic and social concerns. Such networks are primarily designed to overcome carbon footprints and to retrieve end of life products from customers. This study considers a multi echelon closed-loop supply chain in the presence of machine disruption. A multi-objective model is presented to optimize the total cost, the total time and emissions in a closed-loop supply chain network. The aim is to analyze the trade-off between the objectives of cost, time, and emissions and how these decisions are impacted by the selection of different available machines. A number of solution approaches are tested on a case study from the tire industry. The results suggest the improved performance of the hybrid heuristic and the importance of controlling disruption in a closed-loop supply chain network. Furthermore, there is a trade-off between the different objective functions which can help the decision maker to choose a particular solution according to the preference of an organization. Finally, conclusion and future research avenues are provided.
Abdul Salam Khan; Catalin Iulian Pruncu; Razaullah Khan; Khawar Naeem; Abdul Ghaffar; Pakeeza Ashraf; Shah Room. A Trade-Off Analysis of Economic and Environmental Aspects of a Disruption Based Closed-Loop Supply Chain Network. Sustainability 2020, 12, 7056 .
AMA StyleAbdul Salam Khan, Catalin Iulian Pruncu, Razaullah Khan, Khawar Naeem, Abdul Ghaffar, Pakeeza Ashraf, Shah Room. A Trade-Off Analysis of Economic and Environmental Aspects of a Disruption Based Closed-Loop Supply Chain Network. Sustainability. 2020; 12 (17):7056.
Chicago/Turabian StyleAbdul Salam Khan; Catalin Iulian Pruncu; Razaullah Khan; Khawar Naeem; Abdul Ghaffar; Pakeeza Ashraf; Shah Room. 2020. "A Trade-Off Analysis of Economic and Environmental Aspects of a Disruption Based Closed-Loop Supply Chain Network." Sustainability 12, no. 17: 7056.
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.