Md.Mashum Billal - Academia.edu (original) (raw)
Papers by Md.Mashum Billal
2020 International Conference on Data Analytics for Business and Industry: Way Towards a Sustainable Economy (ICDABI)
The rapid growth of Industry 4.0 technologies such as big data, cloud computing, smart sensors, m... more The rapid growth of Industry 4.0 technologies such as big data, cloud computing, smart sensors, machine learning (ML), radio-frequency identification (RFID), robotics, 3Dprinting, and Internet of Things (IoT) offers Small and Medium Enterprises (SMEs) the chance to improve productivity and efficiency, reduce cost and provide better customer experience, among other benefits. The main purpose of this work is to propose a methodology to support SMEs managers in better understanding the specific requirements for the implementation of Industry 4.0 solutions and the derived benefits within their firms. A proposed methodology will be helpful for SMEs manager to take a decision regarding when and how to migrate to Industry 4.0.
arXiv (Cornell University), Sep 13, 2020
Supply chain management has been concentrated on productive ways to manage flows through a sophis... more Supply chain management has been concentrated on productive ways to manage flows through a sophisticated vendor, manufacturer, and consumer networks for decades. Recently, energy and material rates have been greatly consumed to improve the sector, making sustainable development the core problem for advanced and developing countries. A new approach of supply chain management is proposed to maintain the economy along with the environment issue for the design of supply chain as well as the highest reliability in the planning horizon to fulfill customers' demand as much as possible. This paper aims to optimize a new sustainable closed-loop supply chain network to maintain the financial along with the environmental factor to minimize the negative effect on the environment and maximize the average total number of products dispatched to customers to enhance reliability. The situation has been considered under demand uncertainty with warehouse reliability. This approach has been suggested the multi-objective mathematical model minimizing the total costs and total CO2 emissions and maximize the reliability in handling for establishing the closed-loop supply chain. Two optimization methods are used namely Multi-Objective Genetic Algorithm Optimization Method and Weighted Sum Method. Two results have shown the optimality of this approach. This paper also showed the optimal point using Pareto front for clear identification of optima. The results are approved to verify the efficiency of the model and the methods to maintain the financial, environmental, and reliability issues.
Journal of Cleaner Production
arXiv (Cornell University), Sep 13, 2020
Supply chain management has been concentrated on productive ways to manage flows through a sophis... more Supply chain management has been concentrated on productive ways to manage flows through a sophisticated vendor, manufacturer, and consumer networks for decades. Recently, energy and material rates have been greatly consumed to improve the sector, making sustainable development the core problem for advanced and developing countries. A new approach of supply chain management is proposed to maintain the economy along with the environment issue for the design of supply chain as well as the highest reliability in the planning horizon to fulfill customers' demand as much as possible. This paper aims to optimize a new sustainable closed-loop supply chain network to maintain the financial along with the environmental factor to minimize the negative effect on the environment and maximize the average total number of products dispatched to customers to enhance reliability. The situation has been considered under demand uncertainty with warehouse reliability. This approach has been suggested the multi-objective mathematical model minimizing the total costs and total CO2 emissions and maximize the reliability in handling for establishing the closed-loop supply chain. Two optimization methods are used namely Multi-Objective Genetic Algorithm Optimization Method and Weighted Sum Method. Two results have shown the optimality of this approach. This paper also showed the optimal point using Pareto front for clear identification of optima. The results are approved to verify the efficiency of the model and the methods to maintain the financial, environmental, and reliability issues.
arXiv (Cornell University), Oct 15, 2020
The rapid growth of Industry 4.0 technologies such as big data, cloud computing, smart sensors, m... more The rapid growth of Industry 4.0 technologies such as big data, cloud computing, smart sensors, machine learning (ML), radio-frequency identification (RFID), robotics, 3Dprinting, and Internet of Things (IoT) offers Small and Medium Enterprises (SMEs) the chance to improve productivity and efficiency, reduce cost and provide better customer experience, among other benefits. The main purpose of this work is to propose a methodology to support SMEs managers in better understanding the specific requirements for the implementation of Industry 4.0 solutions and the derived benefits within their firms. A proposed methodology will be helpful for SMEs manager to take a decision regarding when and how to migrate to Industry 4.0.
2022 International Conference on Decision Aid Sciences and Applications (DASA), Mar 23, 2022
International journal of science and engineering applications, Apr 11, 2021
The Search and Rescue Network (SAR) is a kind of emergency network that pursuit people in need or... more The Search and Rescue Network (SAR) is a kind of emergency network that pursuit people in need or imminent danger. This paper aims using a priori optimization to demonstrate the optimal assignment of HFDF receivers to the Generalized Search and Rescue (GSAR) network, which is independent of the weighting of the transmitter areas. The mathematical model seeks two objectives, the first one is maximizing the expected number of LOBs for HFDF receivers. The second is providing a fair share number of HFDF receivers allowed to cover the frequency. The result shown the efficiency of presented model ran by CPLEX toolbox of MATLAB 2020 software.
Springer eBooks, 2021
Newly, the rates of energy and material consumption to augment industrial production are substant... more Newly, the rates of energy and material consumption to augment industrial production are substantially high, thus the environmentally sustainable industrial development has emerged as the main issue of either developed or developing countries. A novel approach to supply chain management is proposed to maintain economic growth along with environmentally friendly concerns for the design of the supply chain network. In this paper, a new green supply chain design approach has been suggested to maintain the financial virtue accompanying the environmental factors that required to be mitigated the negative effect of rapid industrial development on the environment. This approach has been suggested a multi-objective mathematical model minimizing the total costs and CO2 emissions for establishing an environmentally sustainable closed-loop supply chain. Two optimization methods are used namely Epsilon Constraint Method, and Genetic Algorithm Optimization Method. The results of the two mentioned methods have been compared and illustrated their effectiveness. The outcome of the analysis is approved to verify the accuracy of the proposed model to deal with financial and environmental issues concurrently.
Biofuels, Bioproducts and Biorefining, Jul 4, 2023
This study develops a framework for quantification of the available municipal solid waste (MSW), ... more This study develops a framework for quantification of the available municipal solid waste (MSW), defines the geographical point source locations for the MSW feedstock, and determines optimal locations for potential waste‐to‐value‐added (W2VA) facility sites. The framework developed here is applied to Canada. To determine optimal sites for W2VA facilities, a three‐stage decision‐making model comprising exclusion analysis, preference analysis, and network analysis was developed. The fuzzy analytic hierarchy process (FAHP) and geographic information systems (GIS) were used in an integrated decision‐making network to prioritize the preference factors and facility locations; with these, a land suitability map (LSM) was developed and suitable candidate sites for W2VA facilities were obtained for Canada. The identified candidate sites were then used in a network analysis to select optimal sites with minimal travel distances. This study was used to determine 10 and 15 optimal sites for W2VA facilities in Western Canada and Eastern Canada, respectively. This study prioritized optimal sites based on the minimization of transportation distances. The highest priority site in Western Canada is Site 1, located in Lethbridge County, Alberta. It is connected with 74 TSs and can receive 2.42 million tonnes of MSW. The highest priority site in Eastern Canada is Site 11, which is located in West Nipissing, Ontario, and is connected with 42 transport stations (TSs) and can receive 1 million tonnes of MSW. The adaptability of the applied decision‐making model, competency of the developed LSM, and flexibility of the network analysis provide a competent supporting tool for authorities to identify optimal locations for W2VA facilities.
2020 International Conference on Decision Aid Sciences and Application (DASA), Nov 8, 2020
The main purpose of this work is to report an implemented novel methodology to support Small and ... more The main purpose of this work is to report an implemented novel methodology to support Small and Medium Enterprises (SMEs) managers in better understanding the specific requirements for the implementation of Industry 4.0 solutions and the derived benefits within their firms. The methodology was implemented in a pressurized cylinder manufacturing company as a case study. The cylinder losing, inadequate scrap management, and bottlenecking in body welding were identified as three of the main problems that could be addressed through Industry 4.0. Potential solutions were considered and found suitable solutions for the problems. For example, Radio-Frequency Identification (RFID) tool was proposed to prevent the illegal cross-filling and illegal cylinder swapping problems and it will help for cylinder identification. A rough techno-economic feasibility analysis was also done for the proposed solutions, which will be helpful for SMEs manager to decide regarding when and how to migrate Industry 4.0.
Resources, Conservation & Recycling Advances
Biofuels, Bioproducts and Biorefining
This study develops a framework for quantification of the available municipal solid waste (MSW), ... more This study develops a framework for quantification of the available municipal solid waste (MSW), defines the geographical point source locations for the MSW feedstock, and determines optimal locations for potential waste‐to‐value‐added (W2VA) facility sites. The framework developed here is applied to Canada. To determine optimal sites for W2VA facilities, a three‐stage decision‐making model comprising exclusion analysis, preference analysis, and network analysis was developed. The fuzzy analytic hierarchy process (FAHP) and geographic information systems (GIS) were used in an integrated decision‐making network to prioritize the preference factors and facility locations; with these, a land suitability map (LSM) was developed and suitable candidate sites for W2VA facilities were obtained for Canada. The identified candidate sites were then used in a network analysis to select optimal sites with minimal travel distances. This study was used to determine 10 and 15 optimal sites for W2VA...
2022 International Conference on Decision Aid Sciences and Applications (DASA)
PSU Research Review, 2022
Purpose This study was designed to investigate the impacts of work-family role conflict on job an... more Purpose This study was designed to investigate the impacts of work-family role conflict on job and life satisfaction among three major professionals: doctors, engineers and university teachers. Data were collected through a face to face survey on 60 doctors, 60 engineers and 60 university teachers of different public and private institutes of Bangladesh. Design/methodology/approach Conducted data analysis were statistical analysis of questionnaires (mean, SD, max, min), descriptive analysis (%), t-test, analysis of variance test, correlation analysis and regression analysis. Findings The results demonstrate that the university teachers had experienced more work-family conflict (WFC) on job satisfaction and family-work conflict (FWC) on job and life satisfaction than doctors and engineers; however, engineers experienced more WFC in the case of life satisfaction. The study also implied that control variables such as gender identification, reported number of children, marital status, e...
2020 Sixth International Conference on e-Learning (econf), 2020
Job satisfaction of tertiary-level teachers is crucial for a country as it is directly linked to ... more Job satisfaction of tertiary-level teachers is crucial for a country as it is directly linked to quality higher education, research, and development. This study aims at measuring the level of job satisfaction of the tertiary-level teachers by investigating the factors that are directly or indirectly responsible for it. This study also conducts a statistical analysis to identify the differences in job satisfaction level that exist among different groups of faculty members. A questionnaire-based survey is conducted using both face-to-face and online platforms to collect data from the teachers of Rajshahi University of Engineering & Technology (RUET), Bangladesh. We found that the average job satisfaction is 58.93 (on a scale of 100) which indicates a moderate level of job satisfaction among teachers. The results also found that, teachers were least satisfied with research facility and industry collaboration, while they were most satisfied with job security. The findings of this study ...
SRPN: Sustainable Business (Topic), 2021
Newly, the rates of energy and material consumption to augment industrial pro-duction are substan... more Newly, the rates of energy and material consumption to augment industrial pro-duction are substantially high, thus the environmentally sustainable industrial de-velopment has emerged as the main issue of either developed or developing coun-tries. A novel approach to supply chain management is proposed to maintain economic growth along with environmentally friendly concerns for the design of the supply chain network. In this paper, a new green supply chain design approach has been suggested to maintain the financial virtue accompanying the environ-mental factors that required to be mitigated the negative effect of rapid industrial development on the environment. This approach has been suggested a multi-objective mathematical model minimizing the total costs and CO2 emissions for establishing an environmentally sustainable closed-loop supply chain. Two opti-mization methods are used namely Epsilon Constraint Method, and Genetic Al-gorithm Optimization Method. The results of the two me...
The configuration of the supply chain network has a strong influence on the overall performance o... more The configuration of the supply chain network has a strong influence on the overall performance of the supply chain. A well designed supply chain network provides a proper way for efficient and effective supply chain management. The supply chain network should be designed in the way that could meet the customer needs with an efficient cost and within the lead time. This paper studies the multi-stage supply chain network design (SCND)model in which all market demand is satisfied within the lead time as well as responsive supply chain is followed. Mixed Integer Linear Programming (MILP) approach is applied to this network to realize the design effectively. In this study new facilitates is to be selected at a proper location and correspondingly of its mode of transportation based on transportation cost for maximizing the profit. We show the problem formulation, solution algorithm and discuss computational results.
The rapid growth of Industry 4.0 technologies such as big data, cloud computing, smart sensors, m... more The rapid growth of Industry 4.0 technologies such as big data, cloud computing, smart sensors, machine learning (ML), radio-frequency identification (RFID), robotics, 3D-printing, and Internet of Things (IoT) offers Small and Medium Enterprises (SMEs) the chance to improve productivity and efficiency, reduce cost and provide better customer experience, among other benefits. The main purpose of this work is to propose a methodology to support SMEs managers in better understanding the specific requirements for the implementation of Industry 4.0 solutions and the derived benefits within their firms. A proposed methodology will be helpful for SMEs manager to take a decision regarding when and how to migrate to Industry 4.0.
Journal of Optimization in Industrial Engineering, 2020
The multi-objective optimization for a multi-product multi-period four-echelon supply chain netwo... more The multi-objective optimization for a multi-product multi-period four-echelon supply chain network consisting of manufacturing plants, distribution centers (DCs) and retailers each with uncertain services and uncertain customer nodes are aimed in this paper. The two objectives are minimization of the total supply chain cost and maximization of the average number of products dispatched to customers. The decision variables are the number and the locations of reliable DCs and retailers, the optimum number of items produced by plants, the optimum quantity of transported products, the optimum inventory of products at DCs, retailers and plants, and the optimum shortage quantity of the customer nodes. The problem is first formulated into the framework of a constrained multi-objective mixed integer linear programming model. After that, the problem is solved by using meta-heuristic algorithms that are Multi-objective Genetic Algorithm (MOGA), Fast Non-dominated Sorting Genetic Algorithms (N...
2020 International Conference on Data Analytics for Business and Industry: Way Towards a Sustainable Economy (ICDABI)
The rapid growth of Industry 4.0 technologies such as big data, cloud computing, smart sensors, m... more The rapid growth of Industry 4.0 technologies such as big data, cloud computing, smart sensors, machine learning (ML), radio-frequency identification (RFID), robotics, 3Dprinting, and Internet of Things (IoT) offers Small and Medium Enterprises (SMEs) the chance to improve productivity and efficiency, reduce cost and provide better customer experience, among other benefits. The main purpose of this work is to propose a methodology to support SMEs managers in better understanding the specific requirements for the implementation of Industry 4.0 solutions and the derived benefits within their firms. A proposed methodology will be helpful for SMEs manager to take a decision regarding when and how to migrate to Industry 4.0.
arXiv (Cornell University), Sep 13, 2020
Supply chain management has been concentrated on productive ways to manage flows through a sophis... more Supply chain management has been concentrated on productive ways to manage flows through a sophisticated vendor, manufacturer, and consumer networks for decades. Recently, energy and material rates have been greatly consumed to improve the sector, making sustainable development the core problem for advanced and developing countries. A new approach of supply chain management is proposed to maintain the economy along with the environment issue for the design of supply chain as well as the highest reliability in the planning horizon to fulfill customers' demand as much as possible. This paper aims to optimize a new sustainable closed-loop supply chain network to maintain the financial along with the environmental factor to minimize the negative effect on the environment and maximize the average total number of products dispatched to customers to enhance reliability. The situation has been considered under demand uncertainty with warehouse reliability. This approach has been suggested the multi-objective mathematical model minimizing the total costs and total CO2 emissions and maximize the reliability in handling for establishing the closed-loop supply chain. Two optimization methods are used namely Multi-Objective Genetic Algorithm Optimization Method and Weighted Sum Method. Two results have shown the optimality of this approach. This paper also showed the optimal point using Pareto front for clear identification of optima. The results are approved to verify the efficiency of the model and the methods to maintain the financial, environmental, and reliability issues.
Journal of Cleaner Production
arXiv (Cornell University), Sep 13, 2020
Supply chain management has been concentrated on productive ways to manage flows through a sophis... more Supply chain management has been concentrated on productive ways to manage flows through a sophisticated vendor, manufacturer, and consumer networks for decades. Recently, energy and material rates have been greatly consumed to improve the sector, making sustainable development the core problem for advanced and developing countries. A new approach of supply chain management is proposed to maintain the economy along with the environment issue for the design of supply chain as well as the highest reliability in the planning horizon to fulfill customers' demand as much as possible. This paper aims to optimize a new sustainable closed-loop supply chain network to maintain the financial along with the environmental factor to minimize the negative effect on the environment and maximize the average total number of products dispatched to customers to enhance reliability. The situation has been considered under demand uncertainty with warehouse reliability. This approach has been suggested the multi-objective mathematical model minimizing the total costs and total CO2 emissions and maximize the reliability in handling for establishing the closed-loop supply chain. Two optimization methods are used namely Multi-Objective Genetic Algorithm Optimization Method and Weighted Sum Method. Two results have shown the optimality of this approach. This paper also showed the optimal point using Pareto front for clear identification of optima. The results are approved to verify the efficiency of the model and the methods to maintain the financial, environmental, and reliability issues.
arXiv (Cornell University), Oct 15, 2020
The rapid growth of Industry 4.0 technologies such as big data, cloud computing, smart sensors, m... more The rapid growth of Industry 4.0 technologies such as big data, cloud computing, smart sensors, machine learning (ML), radio-frequency identification (RFID), robotics, 3Dprinting, and Internet of Things (IoT) offers Small and Medium Enterprises (SMEs) the chance to improve productivity and efficiency, reduce cost and provide better customer experience, among other benefits. The main purpose of this work is to propose a methodology to support SMEs managers in better understanding the specific requirements for the implementation of Industry 4.0 solutions and the derived benefits within their firms. A proposed methodology will be helpful for SMEs manager to take a decision regarding when and how to migrate to Industry 4.0.
2022 International Conference on Decision Aid Sciences and Applications (DASA), Mar 23, 2022
International journal of science and engineering applications, Apr 11, 2021
The Search and Rescue Network (SAR) is a kind of emergency network that pursuit people in need or... more The Search and Rescue Network (SAR) is a kind of emergency network that pursuit people in need or imminent danger. This paper aims using a priori optimization to demonstrate the optimal assignment of HFDF receivers to the Generalized Search and Rescue (GSAR) network, which is independent of the weighting of the transmitter areas. The mathematical model seeks two objectives, the first one is maximizing the expected number of LOBs for HFDF receivers. The second is providing a fair share number of HFDF receivers allowed to cover the frequency. The result shown the efficiency of presented model ran by CPLEX toolbox of MATLAB 2020 software.
Springer eBooks, 2021
Newly, the rates of energy and material consumption to augment industrial production are substant... more Newly, the rates of energy and material consumption to augment industrial production are substantially high, thus the environmentally sustainable industrial development has emerged as the main issue of either developed or developing countries. A novel approach to supply chain management is proposed to maintain economic growth along with environmentally friendly concerns for the design of the supply chain network. In this paper, a new green supply chain design approach has been suggested to maintain the financial virtue accompanying the environmental factors that required to be mitigated the negative effect of rapid industrial development on the environment. This approach has been suggested a multi-objective mathematical model minimizing the total costs and CO2 emissions for establishing an environmentally sustainable closed-loop supply chain. Two optimization methods are used namely Epsilon Constraint Method, and Genetic Algorithm Optimization Method. The results of the two mentioned methods have been compared and illustrated their effectiveness. The outcome of the analysis is approved to verify the accuracy of the proposed model to deal with financial and environmental issues concurrently.
Biofuels, Bioproducts and Biorefining, Jul 4, 2023
This study develops a framework for quantification of the available municipal solid waste (MSW), ... more This study develops a framework for quantification of the available municipal solid waste (MSW), defines the geographical point source locations for the MSW feedstock, and determines optimal locations for potential waste‐to‐value‐added (W2VA) facility sites. The framework developed here is applied to Canada. To determine optimal sites for W2VA facilities, a three‐stage decision‐making model comprising exclusion analysis, preference analysis, and network analysis was developed. The fuzzy analytic hierarchy process (FAHP) and geographic information systems (GIS) were used in an integrated decision‐making network to prioritize the preference factors and facility locations; with these, a land suitability map (LSM) was developed and suitable candidate sites for W2VA facilities were obtained for Canada. The identified candidate sites were then used in a network analysis to select optimal sites with minimal travel distances. This study was used to determine 10 and 15 optimal sites for W2VA facilities in Western Canada and Eastern Canada, respectively. This study prioritized optimal sites based on the minimization of transportation distances. The highest priority site in Western Canada is Site 1, located in Lethbridge County, Alberta. It is connected with 74 TSs and can receive 2.42 million tonnes of MSW. The highest priority site in Eastern Canada is Site 11, which is located in West Nipissing, Ontario, and is connected with 42 transport stations (TSs) and can receive 1 million tonnes of MSW. The adaptability of the applied decision‐making model, competency of the developed LSM, and flexibility of the network analysis provide a competent supporting tool for authorities to identify optimal locations for W2VA facilities.
2020 International Conference on Decision Aid Sciences and Application (DASA), Nov 8, 2020
The main purpose of this work is to report an implemented novel methodology to support Small and ... more The main purpose of this work is to report an implemented novel methodology to support Small and Medium Enterprises (SMEs) managers in better understanding the specific requirements for the implementation of Industry 4.0 solutions and the derived benefits within their firms. The methodology was implemented in a pressurized cylinder manufacturing company as a case study. The cylinder losing, inadequate scrap management, and bottlenecking in body welding were identified as three of the main problems that could be addressed through Industry 4.0. Potential solutions were considered and found suitable solutions for the problems. For example, Radio-Frequency Identification (RFID) tool was proposed to prevent the illegal cross-filling and illegal cylinder swapping problems and it will help for cylinder identification. A rough techno-economic feasibility analysis was also done for the proposed solutions, which will be helpful for SMEs manager to decide regarding when and how to migrate Industry 4.0.
Resources, Conservation & Recycling Advances
Biofuels, Bioproducts and Biorefining
This study develops a framework for quantification of the available municipal solid waste (MSW), ... more This study develops a framework for quantification of the available municipal solid waste (MSW), defines the geographical point source locations for the MSW feedstock, and determines optimal locations for potential waste‐to‐value‐added (W2VA) facility sites. The framework developed here is applied to Canada. To determine optimal sites for W2VA facilities, a three‐stage decision‐making model comprising exclusion analysis, preference analysis, and network analysis was developed. The fuzzy analytic hierarchy process (FAHP) and geographic information systems (GIS) were used in an integrated decision‐making network to prioritize the preference factors and facility locations; with these, a land suitability map (LSM) was developed and suitable candidate sites for W2VA facilities were obtained for Canada. The identified candidate sites were then used in a network analysis to select optimal sites with minimal travel distances. This study was used to determine 10 and 15 optimal sites for W2VA...
2022 International Conference on Decision Aid Sciences and Applications (DASA)
PSU Research Review, 2022
Purpose This study was designed to investigate the impacts of work-family role conflict on job an... more Purpose This study was designed to investigate the impacts of work-family role conflict on job and life satisfaction among three major professionals: doctors, engineers and university teachers. Data were collected through a face to face survey on 60 doctors, 60 engineers and 60 university teachers of different public and private institutes of Bangladesh. Design/methodology/approach Conducted data analysis were statistical analysis of questionnaires (mean, SD, max, min), descriptive analysis (%), t-test, analysis of variance test, correlation analysis and regression analysis. Findings The results demonstrate that the university teachers had experienced more work-family conflict (WFC) on job satisfaction and family-work conflict (FWC) on job and life satisfaction than doctors and engineers; however, engineers experienced more WFC in the case of life satisfaction. The study also implied that control variables such as gender identification, reported number of children, marital status, e...
2020 Sixth International Conference on e-Learning (econf), 2020
Job satisfaction of tertiary-level teachers is crucial for a country as it is directly linked to ... more Job satisfaction of tertiary-level teachers is crucial for a country as it is directly linked to quality higher education, research, and development. This study aims at measuring the level of job satisfaction of the tertiary-level teachers by investigating the factors that are directly or indirectly responsible for it. This study also conducts a statistical analysis to identify the differences in job satisfaction level that exist among different groups of faculty members. A questionnaire-based survey is conducted using both face-to-face and online platforms to collect data from the teachers of Rajshahi University of Engineering & Technology (RUET), Bangladesh. We found that the average job satisfaction is 58.93 (on a scale of 100) which indicates a moderate level of job satisfaction among teachers. The results also found that, teachers were least satisfied with research facility and industry collaboration, while they were most satisfied with job security. The findings of this study ...
SRPN: Sustainable Business (Topic), 2021
Newly, the rates of energy and material consumption to augment industrial pro-duction are substan... more Newly, the rates of energy and material consumption to augment industrial pro-duction are substantially high, thus the environmentally sustainable industrial de-velopment has emerged as the main issue of either developed or developing coun-tries. A novel approach to supply chain management is proposed to maintain economic growth along with environmentally friendly concerns for the design of the supply chain network. In this paper, a new green supply chain design approach has been suggested to maintain the financial virtue accompanying the environ-mental factors that required to be mitigated the negative effect of rapid industrial development on the environment. This approach has been suggested a multi-objective mathematical model minimizing the total costs and CO2 emissions for establishing an environmentally sustainable closed-loop supply chain. Two opti-mization methods are used namely Epsilon Constraint Method, and Genetic Al-gorithm Optimization Method. The results of the two me...
The configuration of the supply chain network has a strong influence on the overall performance o... more The configuration of the supply chain network has a strong influence on the overall performance of the supply chain. A well designed supply chain network provides a proper way for efficient and effective supply chain management. The supply chain network should be designed in the way that could meet the customer needs with an efficient cost and within the lead time. This paper studies the multi-stage supply chain network design (SCND)model in which all market demand is satisfied within the lead time as well as responsive supply chain is followed. Mixed Integer Linear Programming (MILP) approach is applied to this network to realize the design effectively. In this study new facilitates is to be selected at a proper location and correspondingly of its mode of transportation based on transportation cost for maximizing the profit. We show the problem formulation, solution algorithm and discuss computational results.
The rapid growth of Industry 4.0 technologies such as big data, cloud computing, smart sensors, m... more The rapid growth of Industry 4.0 technologies such as big data, cloud computing, smart sensors, machine learning (ML), radio-frequency identification (RFID), robotics, 3D-printing, and Internet of Things (IoT) offers Small and Medium Enterprises (SMEs) the chance to improve productivity and efficiency, reduce cost and provide better customer experience, among other benefits. The main purpose of this work is to propose a methodology to support SMEs managers in better understanding the specific requirements for the implementation of Industry 4.0 solutions and the derived benefits within their firms. A proposed methodology will be helpful for SMEs manager to take a decision regarding when and how to migrate to Industry 4.0.
Journal of Optimization in Industrial Engineering, 2020
The multi-objective optimization for a multi-product multi-period four-echelon supply chain netwo... more The multi-objective optimization for a multi-product multi-period four-echelon supply chain network consisting of manufacturing plants, distribution centers (DCs) and retailers each with uncertain services and uncertain customer nodes are aimed in this paper. The two objectives are minimization of the total supply chain cost and maximization of the average number of products dispatched to customers. The decision variables are the number and the locations of reliable DCs and retailers, the optimum number of items produced by plants, the optimum quantity of transported products, the optimum inventory of products at DCs, retailers and plants, and the optimum shortage quantity of the customer nodes. The problem is first formulated into the framework of a constrained multi-objective mixed integer linear programming model. After that, the problem is solved by using meta-heuristic algorithms that are Multi-objective Genetic Algorithm (MOGA), Fast Non-dominated Sorting Genetic Algorithms (N...