Papers by aliakbar hasani
Nowadays, automated guided vehicles (AGVs) play a key role in manufacturing systems because of im... more Nowadays, automated guided vehicles (AGVs) play a key role in manufacturing systems because of improving the system efficiency and lowering the cost of production. In order to increase the efficiency and stability of AGVs, it is crucial to consider maintenance planning for them. To the best of our knowledge, it is rarely found the papers related to maintenance planning and AGVs’ design and control. Accordingly, in this paper a new integrated nonlinear mathematical model is developed for optimizing the AGV design (including AGV fleet sizing and AGV assignment to workshops) and preventive maintenance policy. The proposed model aims to determine the preventive maintenance cycles, optimal number of employed AGVs in manufacturing and optimal assignment of AGVs to manufacturing workshops so that the total cost is minimized. To solve this model, a genetic algorithm (GA) is developed, and their performance is compared with the global solver of LINGO software on 15 test problems, some of whi...
Kybernetes
PurposeSustainable development of entrepreneurship could be comprehensively analyzed using a simu... more PurposeSustainable development of entrepreneurship could be comprehensively analyzed using a simulation model for entrepreneurship ecosystem based on the system dynamics approach. Thus, a complete analysis of the entrepreneurship ecosystem is of high importance. However, an effective analysis of entrepreneurship ecosystem involves many challenges, such as the presence of several factors which interact with each other in various ways with different complex effects in time. Therefore, the approach used in this study is employing analysis of entrepreneurship ecosystems in sports industry using analysis of dynamic systems.Design/methodology/approachSeveral applied issues such as entrepreneurship opportunities, infrastructures, market opportunities and entrepreneurship space in the borders of the dynamic model developed based on the literature and experts' opinion. Finally, a set of strategies based on experts' opinion are ranked with the objective of improvement of evaluation me...
Computers and Electrical Engineering
Journal of Industrial Management Perspective, 2021
In this study, a robust two-stage risk-aversion optimization model is proposed for the multi-prod... more In this study, a robust two-stage risk-aversion optimization model is proposed for the multi-product relief network design problem. The comprehensive set of decisions for locating and reinforcing relief facilities, inventory planning, and distributing healthcare items has been considered in an integrated manner. Uncertainties of relief facility capacity, relief demand, and the node linkage capacity are considered. Moreover, the weighted average expected loss is considered in the proposed robust planning model. The efficiency of the proposed model has been evaluated by examining numerical instances. The obtained results indicate the efficiency of the distributionally robust model compared to the traditional two-stage stochastic model. In addition, the type of ambiguous set and levels of confidence, risk aversion, and adjustment parameters will affect network performance.
Engineering Management in Production and Services, 2019
Hospitals are the most important and costly component of the healthcare system. Therefore, hospit... more Hospitals are the most important and costly component of the healthcare system. Therefore, hospital performance evaluation (HPE) is an important issue for the managers of these centres. This paper presents a new approach for HPE that can be used to calculate the efficiency, effectiveness, and productivity of hospitals simultaneously. Efficiency refers to the ratio of inputs and outputs, effectiveness refers to the extent to which outputs align with predetermined goals, and productivity refers to the sum of both efficiency and effectiveness. To this end, a Data Envelopment Analysis (DEA) model is developed to simultaneously measure the efficiency, effectiveness, and productivity (DEA-EEP) of hospitals. DEA is a linear programming technique that in its traditional form, calculates the performance of similar decision-making units (DMUs) that have both inputs and outputs. In this study, the inputs are the number of health workers, the number of other staff, and the number of patient bed...
Generation scheme of parameters of the relief network design model
International Journal of Industrial Engineering & Production Research, 2021
One of the basic assumptions of classical production-inventory models is that all products are of... more One of the basic assumptions of classical production-inventory models is that all products are of perfect quality. However, in real manufacturing situations, the production of defective items is inevitable, and a fraction of the items produced may be naturally imperfect. In fact, items may be damaged due to production and/or transportation conditions in the manufacturing process. On the other hand, some reworkable items exist among imperfect items that can be made perfect by additional processing. In addition, the classical production-inventory models assume that there is only one product in the system and that there is an unlimited amount of resources. However, in many practical situations, several products are produced and there are some constraints related to various factors such as machine capacity, storage space, available budget, number of allowable setups, etc. Therefore, we propose new constrained production-inventory models for multiple products where the manufacturing proc...
International Journal of Industrial Engineering & Production Research, 2015
In this study, an optimization model is proposed to design a Global Supply Chain (GSC) for a medi... more In this study, an optimization model is proposed to design a Global Supply Chain (GSC) for a medical device manufacturer under disruption in the presence of pre-existing competitors and price inelasticity of demand. Therefore, static competition between the distributors’ facilities to more efficiently gain a further share in market of Economic Cooperation Organization trade agreement (ECOTA) is considered. This competition condition is affected by disruption occurrence. The aim of the proposed model is to maximize the expected net after-tax profit of GSC under disruption and normal situation at the same time. To effectively deal with disruption, some practical strategies are adopted in the design of GSC network. The uncertainty of the business environment is modeled using the robust optimization technique based on the concept of uncertainty budget. To tackle the proposed Mixed-Integer Nonlinear Programming (MINLP) model, a hybrid Taguchi-based Memetic Algorithm (MA) with an adaptive...
International Journal of Industrial Engineering & Production Research, 2017
Two-stage Stochastic Programing Based on the Accelerated Benders Decomposition for Designing
Computers & Industrial Engineering, 2021
Abstract This study presents a fuzzy multi-objective mathematical programming model to design an ... more Abstract This study presents a fuzzy multi-objective mathematical programming model to design an efficient and resilience global supply chain network structure based on the service-oriented approach. Service composition and transportation within globally scattered resources are considered under the cloud manufacturing paradigm. The proposed comprehensive model is adapted to a global electrical medical device manufacturing system. Key performance measures include robustness, agility, leanness, and flexibility as resiliency pillars are considered in designing the network under uncertainty. To efficiently deal with the computational tractability of this non-linear and multi-objective optimization problem, a new hybrid solution algorithm is developed that incorporates fuzzy multi-criteria decision-making methods and augmented e-constraint method. Obtained computational results of a real case study present that the proposed service-oriented global supply chain network design can respond to its global customers’ demands in a resilient as well as efficient manner.
Scientia Iranica, 2021
The classical manufacturing systems assume that all of produced items are of perfect quality. The... more The classical manufacturing systems assume that all of produced items are of perfect quality. They also do not consider the rework process in manufacturing operations. Moreover, most of the previous literature consider single stage production-inventory systems and do not consider multi stage options. However, in real world production-inventory systems, production of defective items is inevitable, and a fraction of the produced items may be 2 defective. In addition, to avoid extra costs and consider environmental issues, organizations tend to reworking activities. We propose single and multi-stage production-inventory systems in manufacturing operations where the process is defective, rework is possible and a percent of items are scrapped. A main assumption, in the current paper, is that the defective rate is assumed to be uncertain parameter. The grey systems theory, as a mathematical tool to address the uncertain information in real-world situations, is utilized to model the random defective rate via a grey nonlinear programming problem. The proposed issues are investigated via numerical examples to assess the impact of grey parameters on optimal solutions.
Journal of Cleaner Production, 2021
This study presents a robust multi-objective optimization model to configure a green global suppl... more This study presents a robust multi-objective optimization model to configure a green global supply chain network structure under disruption. The proposed model is adapted to a global medical device manufacturing system. Economic and environmental issues are considered in designing the network, and mitigation strategies are employed to obtain a resilient supply chain network. To deal with the computational tractability of this non-linear and multi-objective optimization problem, a novel hybrid heuristic is developed that incorporates improved strength Pareto evolutionary algorithm 2 (SPEA2). Computational results indicate that the proposed global supply chain network configuration can respond to its global customers' demand in agile as well as green manner. Based on our results, the importance of the SC agility is highlighted by increasing the budget of uncertainty, and some of well-known mitigation strategies are in contradiction to the agile production paradigm.
Scientia Iranica, 2020
In this paper, sustainability-related factors driving success of healthcare system management inc... more In this paper, sustainability-related factors driving success of healthcare system management include a group of hospitals are considered. A three-pronged approach is considered based on the internal functions of the hospital, which are affecting the social responsibility as well as functions related to the service recipients from health centers. A novel comprehensive multiperiod evaluation of hospitals' performance is considered by the proposed dynamic network. This hybrid data envelopment analysis-based fuzzy multi-criteria decision-making model incorporates fuzzy DEMATEL and best-worst method provides several useful managerial insights using a realistic case study from Iran for sustainable management of the healthcare system. Obtained results indicate the importance of considering potential interrelated relations between network nodes on comprehensive performance assessment of healthcare service system.
International Journal of Productivity and Quality Management, 2019
Nowadays, talent management becomes more complicated as a consequence of a dynamic business envir... more Nowadays, talent management becomes more complicated as a consequence of a dynamic business environment and facing extensive and delayed feedbacks of various economic and social factors. Therefore, there is a need to design an appropriate human resource management to attract, employ, develop, and retain talented staff. The aim of this study is to propose a comprehensive model for talent management using a system dynamics approach. In addition, fuzzy multi-criteria decision-making method is used to assess the considered improvement strategies. The proposed model is applied to Iranian Falat-Ghare Oil Company. Obtained results indicate that talent management process plays a key role in the organisation's performance. Improvement opportunities to increase the total efficiency of the talent management system are identified. By using scenario analysis, key process indicators of talent management system are investigated to achieve the organisation goals. Organisation's efficiency can be significantly increased by adopting appropriate talent management strategies.
Safety Science, 2019
In this study, a scenario-based robust approach is suggested for a multi-objective mixed-integer ... more In this study, a scenario-based robust approach is suggested for a multi-objective mixed-integer linear programming model in designing the relief network. A new approach to humanitarian inventory grouping problem based on the relief management objectives is proposed. The proposed model simultaneously optimizes inventory groups' number and corresponding service levels, assignment of relief commodities to groups, relief facility location, and relief service assignment. The proposed model aims to minimize the risk and the total cost of network management and simultaneously maximize the network population coverage. The fault tree analysis technique is used for vulnerability assessment of each demand point. To tackle the proposed optimization model, a hybrid Taguchi-based non-dominated sorting genetic algorithm-II is developed that incorporates an enhanced variable decomposition neighborhood search algorithm with fitness landscape analysis as its local search heuristic. The results illustrate the efficiency of the proposed model and solution algorithm in dealing with the considered disaster management issues. 2. Literature review Nowadays, disaster management is to prepare and plan for hazards in a proactive manner rather than waiting for them and reacting later.
International Journal of Advanced Operations Management, 2018
This paper investigates the inventory control of perishable products with a limited storage lifet... more This paper investigates the inventory control of perishable products with a limited storage lifetime in closed-loop supply chains. Uncertainties related to customers' demands, the return rate of goods, and qualities of the returned products are considered. An efficient interactive response surface methodology is adopted by using a statistical simulation approach. The desirability function is taken into account a minimum desirability level of multiple objectives, the potential correlation between the considered objectives, and minimisation of uncontrollable variables or noise factors effect. The experimental results indicate the efficiency of the proposed simulation-based optimisation approach in handling correlated multiple objectives for inventory control of perishable products in closed-loop supply chains under uncertainty. Considered risks in the supply chain echelons and fair costs allocation has been balanced efficiently via using the proposed interactive approach to solving the multi-objective problem. Finally, the robustness of the obtained solutions is assessed under variation in weights of the response variables.
Resources Policy, 2018
This paper focuses on sustainable planning of a mining supply chain network from mining sites to ... more This paper focuses on sustainable planning of a mining supply chain network from mining sites to demand centers. In the network, wind and solar generators can be installed in mining sites to attain low carbon mining operations. The uncertainty related to the renewable energy resources is taken into account, and to find an effective and reliable planning strategy, we present a novel cost-efficient multi-stage stochastic program in which strategic and tactical planning decisions are integrated. In the stochastic model, beside the economic goal, the greenhouse gas emissions from transportation through the network are mitigated and the social impact of the supply chain is considered using a social life cycle assessment methodology. A real case study in Iran related to the production of zinc concentrates from mines is implemented to demonstrate the applicability of the proposed optimization model in evaluating the economic objective, the sustainability issues, and the infrastructure needs for the renewable energy integration. Furthermore, a sensitivity analysis on main parameters of the problem is performed to drive some managerial insights that help decision makers in sustainable planning of mining supply chains.
International Journal of Engineering, 2015
This paper primarily presents a comprehensive dynamic layout design model which integrates layout... more This paper primarily presents a comprehensive dynamic layout design model which integrates layout and transportation system design via considering more realistic assumptions, such as taking account of fixed-position departments and distance between departments that endanger each other. In addition, specific criteria such as capacity, cost and reliability of facilities are considered in transportation system design decision. The combinatorial nature of the problem necessitates using a meta-heuristic approach to deal with this issue. Therefore, an efficient hybrid meta-heuristic based on variable neighborhood search (VNS) and simulated annealing (SA) is proposed to design a proper dynamic layout for a specific planning horizon. The validity of the superiority of the proposed solution method is proven through comparing with all of the other solution methods upon the original model available in the literature. Finally, an extensive computational results lead to the conclusion that the proposed method outperforms other existing methods. In addition, solving an example from the dynamic layout design of a home appliance manufacturer demonstrates the efficiency of the proposed model and solution algorithm in terms of solution quality to solve real-world instances.
Computers & Chemical Engineering, 2017
Transportation Research Part E: Logistics and Transportation Review, 2016
A mixed-integer, non-linear model is developed for designing robust global supply chain networks ... more A mixed-integer, non-linear model is developed for designing robust global supply chain networks under uncertainty. Six resilience strategies are proposed to mitigate the risk of correlated disruptions. In addition, an efficient parallel Taguchi-based memetic algorithm is developed that incorporates a customized hybrid parallel adaptive large neighborhood search. Fitness landscape analysis is used to determine an effective selection of neighborhood structures, while the upper bound found by Lagrangian relaxation heuristic is used to evaluate quality of solutions and effectiveness of the proposed metaheuristic. The model is solved for a real-life case of a global medical device manufacturer to extract managerial insights.
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Papers by aliakbar hasani