This page has only limited features, please log in for full access.
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.
Modern day industries strive to obtain long-term supplier integrations (SI) with potentially stronger supplier groups, to achieve fast and reliable production. This paper studies the process of selecting vendors, while simultaneously considering the aspects of random factors, multiple criteria, and efficiently reaching optimal solutions to improve the SI. A framework was developed that consists of three layers of expert opinions, supplier requirements, and multi-objective bee colony optimization. The model factors affecting the SI decision were explored from the comprehensive relevant literature, and these factors were shortlisted and prioritized. Routines for the modeled framework were coded by using the proposed algorithms which were implemented for a real-world problem from a manufacturing small and medium enterprise (SME) in Pakistan. Optimization of SI was carried out on an archived artificial bee colony (AABC). Its effectiveness was also evaluated by comparison with simple artificial bee colony (ABC) and particle swarm algorithms. The methodologically calculated results, obtained from simulation of a mathematically reinforced optimization framework, are highly beneficial for the industry, as well as local and international suppliers. A detailed and in-depth evaluation of suppliers was provided by the sensitivity analysis, which presented a more rigorous authentication and elaboration of the results. The presented framework is the first of its kind for the SMEs of Pakistan and can be applied with little modification to other industries.
Muhammad Umer Farooq; Qazi Salman; Muhammad Arshad; Imran Khan; Rehman Akhtar; Sunghwan Kim. An Artificial Bee Colony Algorithm Based on a Multi-Objective Framework for Supplier Integration. Applied Sciences 2019, 9, 588 .
AMA StyleMuhammad Umer Farooq, Qazi Salman, Muhammad Arshad, Imran Khan, Rehman Akhtar, Sunghwan Kim. An Artificial Bee Colony Algorithm Based on a Multi-Objective Framework for Supplier Integration. Applied Sciences. 2019; 9 (3):588.
Chicago/Turabian StyleMuhammad Umer Farooq; Qazi Salman; Muhammad Arshad; Imran Khan; Rehman Akhtar; Sunghwan Kim. 2019. "An Artificial Bee Colony Algorithm Based on a Multi-Objective Framework for Supplier Integration." Applied Sciences 9, no. 3: 588.
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.
The 2D precoding technology can only adjust the beam in a horizontal direction through data processing, which will cause serious problems for multiuser systems, especially at the edge of the base station it will cause serious inter-cell interference. To solve this problem, in the frequency-division duplex (FDD) 3D-MIMO Heterogeneous network system, the influence of feedback overhead on system performance under limited feedback mechanism is studied using random geometry. Based on the deployment of a uniform planar array (UPA) at the base station, a 3D-MIMO multiuser codebook design scheme based on horizontal transmission angle and the vertical down-tilt angle is proposed, and the codebook design scheme is simulated and analyzed. The results show that the feedback overhead and the micro base station density affect the system throughput and even affect the bit error rate (BER) of the 3D precoding scheme. Compared with the precoding scheme based on 2D and 3D discrete Fourier transform (DFT) codebooks, this scheme greatly reduces the system’s BER, improves the system’s throughput, and optimizes system performance.
Muhammad Arshad; Imran Khan; Jaime Lloret; Ignacio Bosch. A Novel Multi-User Codebook Design for 5G in 3D-MIMO Heterogeneous Networks. Electronics 2018, 7, 144 .
AMA StyleMuhammad Arshad, Imran Khan, Jaime Lloret, Ignacio Bosch. A Novel Multi-User Codebook Design for 5G in 3D-MIMO Heterogeneous Networks. Electronics. 2018; 7 (8):144.
Chicago/Turabian StyleMuhammad Arshad; Imran Khan; Jaime Lloret; Ignacio Bosch. 2018. "A Novel Multi-User Codebook Design for 5G in 3D-MIMO Heterogeneous Networks." Electronics 7, no. 8: 144.