Hamid Afshari - Academia.edu (original) (raw)
Papers by Hamid Afshari
Volume 4: 21st Design for Manufacturing and the Life Cycle Conference; 10th International Conference on Micro- and Nanosystems
Eco-Industrial Parks (EIPs) and Industrial Symbioses (IS) have provided several cost-effective an... more Eco-Industrial Parks (EIPs) and Industrial Symbioses (IS) have provided several cost-effective and environmental friendly solutions for the economic growth of countries. The need for excessive materials, water and energy can be reduced by exchanging wastes, by-products and energy among different clusters of industries, which is the fundamental goal of establishing synergies among industries. Symbioses design looks for the best set of connections among industries to satisfy defined objectives. However, there are not enough data to support the design of a new EIP for some industries. The existing research contains multiple objective optimization methods, but lacks details in the real industrial world to consider comprehensive criteria in design of flow exchanges due to the large cost and long establishment time for those synergies. This paper presents a multi-objective model to decide the best network of industries for several exchanges among them. The model helps minimizing costs for...
Resources, Conservation and Recycling, 2018
Eco-Industrial Parks (EIPs) are complex organizations to facilitate Industrial Symbiosis (IS) amo... more Eco-Industrial Parks (EIPs) are complex organizations to facilitate Industrial Symbiosis (IS) among a set of production units. IS can generate values from material and energetic wastes in the Circular Economy domain. However, there are very few examples of well-functioning EIPs in practice due to the complexity of creating a win-win equilibrium for all participants in material or energy exchanges. A barrier for initiating synergies in an industrial zone is the lack of methods to measure the profitability and environmentally friendly resolutions that EIPs can provide. Stakeholders (e.g. industrial zone managers) are more interested in a real synergetic network that could add value to all the stakeholders rather than exporting the extra steam from one site to another. This paper is based on an empirical study of an industrial zone in France to propose a tool for modeling and optimizing streamline exchanges among industries sites. The optimization objectives are defined for the cost and environmental impact of exchanges to be minimized. To bridge gaps in the existing optimization models, real conditions and technical features are considered to decide optimal industrial symbiosis, especially for heat exchange networks. The proposed method has been used to optimize an industrial park in France. The uncertainty analysis shows the resilience of established connections in the network under variations of key economic, social, and environmental parameters. Thus, it helps decision makers in identifying optimized networks to be invested for sustainable objectives.
ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg, 2017
Eco-Industrial parks (EIPs) and industrial symbioses (IS) provide cost-effective and environmenta... more Eco-Industrial parks (EIPs) and industrial symbioses (IS) provide cost-effective and environmental friendly solutions for industries. They bring benefits from industrial plants to industrial parks and neighborhood areas. The exchange of materials, water, and energy is the goal of IS to reduce wastes, by-products, and energy consumption among a cluster of industries. However, although the IS design looks for the best set of flow exchanges among industries at a network level, the lack of access to accurate data challenges the optimal design of a new EIP. IS solutions face uncertainties. Considering the huge cost and long establishment time of IS, the existing studies cannot provide a robust model to investigate effects of uncertainty on the optimal symbioses design. This paper introduces a framework to investigate uncertainties in the EIP design. A multi-objective model is proposed to decide the optimal network of symbiotic exchanges among firms. The model minimizes the costs of multi...
Cogent Engineering, 2016
Product designers need to consider users' requirement changes in the product life cycle. Existing... more Product designers need to consider users' requirement changes in the product life cycle. Existing practices of product design lack an effective method to quantify uncertainty effects on products. This research proposes a method to evaluate product sustainability under the generational variety uncertainty. An integrated method of agent-based modeling, quality function deployment (QFD), and axiomatic design theory is developed to simulate users' preference changes. The contribution in this paper is to address all sustainability pillars including the social, environmental, and economy in the proposed solution. The quantified uncertainty is then used to evaluate impacts on product sustainability. The proposed method is validated using an example of the wheelchair design.
Journal of Computing and Information Science in Engineering, 2016
Decisions made in the early design phase enormously contribute to the performance of a product du... more Decisions made in the early design phase enormously contribute to the performance of a product during its life cycle. Since users' preferences may change over time, a product design should be revised under the preference change. Providing accurate data for designers ensures an optimal decision for product design; this research presents a new method to assess effects of the quantified changes on product cost and development time. In addition, two models to optimize design under unexpected disturbances are proposed. Normally, optimal parameters require several search iterations in design process before finalizing a product. The design time in terms of number of iterations can be reduced by adding resources in each iteration using modern control engineering methods. However, adding resources will increase the design cost. The proposed method in this research minimizes the total product design cost and environmental impacts under changes of users' preferences. The method is vali...
International Journal of Business Performance and Supply Chain Modelling, 2016
In this paper, a stochastic mixed integer linear programming (SMILP) model is proposed to optimiz... more In this paper, a stochastic mixed integer linear programming (SMILP) model is proposed to optimize the location and size of facilities and service centres in integrated forward and reverse streams under uncertainty. The objective of the model is to minimize establishment, transportation and inventory management costs and simultaneously maximize customer satisfaction with sustainable perspective. The model incorporates different elements and features of distribution networks including inventory management, transportation and establishment of new facilities as well as existing centres. The presented model is the streamlined approach for multi-objective, multi-period, multi-commodity distribution system, and it is supported by a real case study in automobile after sales network. Genetic algorithm is implemented to solve the model in reasonable time. The performance of the model and the effects of uncertainty on provided solution are studied under different cases. Competitive result of the stochastic model compared to deterministic model ensures that the proposed approach is valid to be applied for decision making under uncertainty.
Volume 4: 20th Design for Manufacturing and the Life Cycle Conference; 9th International Conference on Micro- and Nanosystems, 2015
One of the major concerns for adaptable products is to ensure the products to meet customer prefe... more One of the major concerns for adaptable products is to ensure the products to meet customer preferences. As customers may update their preferences over the product lifetime, designers need methods to measure those preferences. Lack of knowledge (uncertainty) in customer preferences could endanger the product success. If designers can update their views for customer requirements, a product can be designed to follow the user requirements. Huge data are generated continuously in product user behavior, product usage, manufacturing cost etc., now called as Big Data. Collecting, managing and applying such huge set of data in an innovative method can reduce uncertainties. In this paper, a method is discussed to minimize uncertainty effects on products to improve the product adaptability. Uncertainty is considered as changes of the customer preference. The proposed method uses Big Data (BD) in the analysis of uncertainty. The effect of quantified uncertainties on product adaptability is inv...
Volume 4: 20th Design for Manufacturing and the Life Cycle Conference; 9th International Conference on Micro- and Nanosystems, 2015
The optimization of facility location decisions is critical for the success of a supply chain in ... more The optimization of facility location decisions is critical for the success of a supply chain in a market since it can contribute to long-term performance of the supply chain. In the last two decades, the number of research in this field has been growing to address more realistic problems such as incorporating uncertainties in repair time and demand. In this paper, a particle swarm optimization algorithm (PSO) is employed to locate repair shops in a stochastic environment. The problem aim is to decide about the location and the capacity of local repair shops as well as identifying the capacity of central repair shop to minimize total expected cost. It is assumed that customers select the closest local repair shop. In the local repair shops, services are available to repair customer’s broken items and a number of spare parts are stored to supply customers’ needs. Additionally, each repair shop is allowed to open some servers, depending on the number of customers, to serve its custome...
Industrial Management & Data Systems, 2015
Purpose– The purpose of this paper is to quantify external and internal uncertainties in product ... more Purpose– The purpose of this paper is to quantify external and internal uncertainties in product design process. The research addresses the measure of product future changes.Design/methodology/approach– Two methods are proposed to model and quantify uncertainty in the product life cycle. Changes of user preferences are considered as the external uncertainty. Changes stemming from dependencies between components are addressed as the internal uncertainty. Both methods use developed mechanisms to capture and treat changes of user preferences. An agent-based model is developed to simulate sociotechnical events in the product life cycle for the external uncertainty. An innovative application of Big Data Analytics (BDA) is proposed to evaluate the external and internal uncertainties in product design. The methods can identify the most affected product components under uncertainty.Findings– The results show that the proposed method could identify product changes during its life cycle, part...
Advances in Intelligent and Soft Computing, 2011
Abstract. Nowadays, there is consensus on the fact that the sustainability, in which the internat... more Abstract. Nowadays, there is consensus on the fact that the sustainability, in which the international political debate constitute one of the most powerful concepts, opens entirely new opportunities for reaching higher levels of development. Sus-tainability development means making ...
IEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management, 2009
The rapid development of real-time systems makes the due date involving criteria especially usefu... more The rapid development of real-time systems makes the due date involving criteria especially useful and important, increasing the interest devoted by researchers to this branch of the scheduling theory. The quality of solutions in real systems is usually estimated from different points of ...
Procedia CIRP, 2014
In this paper, a stochastic mixed integer linear programming (SMILP) model is proposed to optimiz... more In this paper, a stochastic mixed integer linear programming (SMILP) model is proposed to optimize the location and size of facilities and service centres in integrated forward and reverse streams under uncertainty. The objective of the model is to minimize establishment, transportation and inventory management costs and simultaneously maximize customer satisfaction with sustainable perspective. The model incorporates different elements and features of distribution networks including inventory management, transportation and establishment of new facilities as well as existing centres. The presented model is the streamlined approach for multi-objective, multi-period, multi-commodity distribution system, and it is supported by a real case study in automobile after sales network. Genetic algorithm is implemented to solve the model in reasonable time. The performance of the model and the effects of uncertainty on provided solution are studied under different cases. Competitive result of the stochastic model compared to deterministic model ensures that the proposed approach is valid to be applied for decision making under uncertainty.
Logistics Operations and Management, 2011
Page 285. 14 Retail Logistics Hamid Afshari and Fatemeh Hajipouran Benam Iran Khodro Industrial G... more Page 285. 14 Retail Logistics Hamid Afshari and Fatemeh Hajipouran Benam Iran Khodro Industrial Group (IKCO), Iran 14.1 Overview 14.1. ... 3. Determine customer types and characteristics (such as gender and salary level) and needs (such as brand preferences). ...
… of Engineers and …, 2010
... Optimizing Inventory Decisions in Facility Location within Distribution Network Design Hamid ... more ... Optimizing Inventory Decisions in Facility Location within Distribution Network Design Hamid Afshari, Majid Amin-Nayeri, and Amir Ardestanijaafari ... Facility Layout and Location. Prentice-Hall, New Jersey. [8] Freling, R., Romeijn, HE, Morales, DR, Wagelmans, APM, 2003. ...
Volume 4: 18th Design for Manufacturing and the Life Cycle Conference; 2013 ASME/IEEE International Conference on Mechatronic and Embedded Systems and Applications, 2013
ABSTRACT Consumer requirements for products vary dynamically based on the change of technologies,... more ABSTRACT Consumer requirements for products vary dynamically based on the change of technologies, social influence, individual taste, etc. A sustainable product should meet customer requirements in its lifecycle. Different methods and techniques have been proposed to find possible changes of product needs or customers’ preferences. This paper introduces an agent-based technique to address the change of product requirements. Major contribution of the proposed method is to embed customers’ preference in the analysis of product performance using agent interactions. Using the combination of Quality Function Deployment (QFD), agent-based modeling and data mining methods, customers’ preference trends related to elements and functions of product are simulated. The prediction period is flexible based on estimated product lifecycle. The proposed method is compared with other techniques in a case study.
Volume 4: 19th Design for Manufacturing and the Life Cycle Conference; 8th International Conference on Micro- and Nanosystems, 2014
Volume 4: 21st Design for Manufacturing and the Life Cycle Conference; 10th International Conference on Micro- and Nanosystems
Eco-Industrial Parks (EIPs) and Industrial Symbioses (IS) have provided several cost-effective an... more Eco-Industrial Parks (EIPs) and Industrial Symbioses (IS) have provided several cost-effective and environmental friendly solutions for the economic growth of countries. The need for excessive materials, water and energy can be reduced by exchanging wastes, by-products and energy among different clusters of industries, which is the fundamental goal of establishing synergies among industries. Symbioses design looks for the best set of connections among industries to satisfy defined objectives. However, there are not enough data to support the design of a new EIP for some industries. The existing research contains multiple objective optimization methods, but lacks details in the real industrial world to consider comprehensive criteria in design of flow exchanges due to the large cost and long establishment time for those synergies. This paper presents a multi-objective model to decide the best network of industries for several exchanges among them. The model helps minimizing costs for...
Resources, Conservation and Recycling, 2018
Eco-Industrial Parks (EIPs) are complex organizations to facilitate Industrial Symbiosis (IS) amo... more Eco-Industrial Parks (EIPs) are complex organizations to facilitate Industrial Symbiosis (IS) among a set of production units. IS can generate values from material and energetic wastes in the Circular Economy domain. However, there are very few examples of well-functioning EIPs in practice due to the complexity of creating a win-win equilibrium for all participants in material or energy exchanges. A barrier for initiating synergies in an industrial zone is the lack of methods to measure the profitability and environmentally friendly resolutions that EIPs can provide. Stakeholders (e.g. industrial zone managers) are more interested in a real synergetic network that could add value to all the stakeholders rather than exporting the extra steam from one site to another. This paper is based on an empirical study of an industrial zone in France to propose a tool for modeling and optimizing streamline exchanges among industries sites. The optimization objectives are defined for the cost and environmental impact of exchanges to be minimized. To bridge gaps in the existing optimization models, real conditions and technical features are considered to decide optimal industrial symbiosis, especially for heat exchange networks. The proposed method has been used to optimize an industrial park in France. The uncertainty analysis shows the resilience of established connections in the network under variations of key economic, social, and environmental parameters. Thus, it helps decision makers in identifying optimized networks to be invested for sustainable objectives.
ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg, 2017
Eco-Industrial parks (EIPs) and industrial symbioses (IS) provide cost-effective and environmenta... more Eco-Industrial parks (EIPs) and industrial symbioses (IS) provide cost-effective and environmental friendly solutions for industries. They bring benefits from industrial plants to industrial parks and neighborhood areas. The exchange of materials, water, and energy is the goal of IS to reduce wastes, by-products, and energy consumption among a cluster of industries. However, although the IS design looks for the best set of flow exchanges among industries at a network level, the lack of access to accurate data challenges the optimal design of a new EIP. IS solutions face uncertainties. Considering the huge cost and long establishment time of IS, the existing studies cannot provide a robust model to investigate effects of uncertainty on the optimal symbioses design. This paper introduces a framework to investigate uncertainties in the EIP design. A multi-objective model is proposed to decide the optimal network of symbiotic exchanges among firms. The model minimizes the costs of multi...
Cogent Engineering, 2016
Product designers need to consider users' requirement changes in the product life cycle. Existing... more Product designers need to consider users' requirement changes in the product life cycle. Existing practices of product design lack an effective method to quantify uncertainty effects on products. This research proposes a method to evaluate product sustainability under the generational variety uncertainty. An integrated method of agent-based modeling, quality function deployment (QFD), and axiomatic design theory is developed to simulate users' preference changes. The contribution in this paper is to address all sustainability pillars including the social, environmental, and economy in the proposed solution. The quantified uncertainty is then used to evaluate impacts on product sustainability. The proposed method is validated using an example of the wheelchair design.
Journal of Computing and Information Science in Engineering, 2016
Decisions made in the early design phase enormously contribute to the performance of a product du... more Decisions made in the early design phase enormously contribute to the performance of a product during its life cycle. Since users' preferences may change over time, a product design should be revised under the preference change. Providing accurate data for designers ensures an optimal decision for product design; this research presents a new method to assess effects of the quantified changes on product cost and development time. In addition, two models to optimize design under unexpected disturbances are proposed. Normally, optimal parameters require several search iterations in design process before finalizing a product. The design time in terms of number of iterations can be reduced by adding resources in each iteration using modern control engineering methods. However, adding resources will increase the design cost. The proposed method in this research minimizes the total product design cost and environmental impacts under changes of users' preferences. The method is vali...
International Journal of Business Performance and Supply Chain Modelling, 2016
In this paper, a stochastic mixed integer linear programming (SMILP) model is proposed to optimiz... more In this paper, a stochastic mixed integer linear programming (SMILP) model is proposed to optimize the location and size of facilities and service centres in integrated forward and reverse streams under uncertainty. The objective of the model is to minimize establishment, transportation and inventory management costs and simultaneously maximize customer satisfaction with sustainable perspective. The model incorporates different elements and features of distribution networks including inventory management, transportation and establishment of new facilities as well as existing centres. The presented model is the streamlined approach for multi-objective, multi-period, multi-commodity distribution system, and it is supported by a real case study in automobile after sales network. Genetic algorithm is implemented to solve the model in reasonable time. The performance of the model and the effects of uncertainty on provided solution are studied under different cases. Competitive result of the stochastic model compared to deterministic model ensures that the proposed approach is valid to be applied for decision making under uncertainty.
Volume 4: 20th Design for Manufacturing and the Life Cycle Conference; 9th International Conference on Micro- and Nanosystems, 2015
One of the major concerns for adaptable products is to ensure the products to meet customer prefe... more One of the major concerns for adaptable products is to ensure the products to meet customer preferences. As customers may update their preferences over the product lifetime, designers need methods to measure those preferences. Lack of knowledge (uncertainty) in customer preferences could endanger the product success. If designers can update their views for customer requirements, a product can be designed to follow the user requirements. Huge data are generated continuously in product user behavior, product usage, manufacturing cost etc., now called as Big Data. Collecting, managing and applying such huge set of data in an innovative method can reduce uncertainties. In this paper, a method is discussed to minimize uncertainty effects on products to improve the product adaptability. Uncertainty is considered as changes of the customer preference. The proposed method uses Big Data (BD) in the analysis of uncertainty. The effect of quantified uncertainties on product adaptability is inv...
Volume 4: 20th Design for Manufacturing and the Life Cycle Conference; 9th International Conference on Micro- and Nanosystems, 2015
The optimization of facility location decisions is critical for the success of a supply chain in ... more The optimization of facility location decisions is critical for the success of a supply chain in a market since it can contribute to long-term performance of the supply chain. In the last two decades, the number of research in this field has been growing to address more realistic problems such as incorporating uncertainties in repair time and demand. In this paper, a particle swarm optimization algorithm (PSO) is employed to locate repair shops in a stochastic environment. The problem aim is to decide about the location and the capacity of local repair shops as well as identifying the capacity of central repair shop to minimize total expected cost. It is assumed that customers select the closest local repair shop. In the local repair shops, services are available to repair customer’s broken items and a number of spare parts are stored to supply customers’ needs. Additionally, each repair shop is allowed to open some servers, depending on the number of customers, to serve its custome...
Industrial Management & Data Systems, 2015
Purpose– The purpose of this paper is to quantify external and internal uncertainties in product ... more Purpose– The purpose of this paper is to quantify external and internal uncertainties in product design process. The research addresses the measure of product future changes.Design/methodology/approach– Two methods are proposed to model and quantify uncertainty in the product life cycle. Changes of user preferences are considered as the external uncertainty. Changes stemming from dependencies between components are addressed as the internal uncertainty. Both methods use developed mechanisms to capture and treat changes of user preferences. An agent-based model is developed to simulate sociotechnical events in the product life cycle for the external uncertainty. An innovative application of Big Data Analytics (BDA) is proposed to evaluate the external and internal uncertainties in product design. The methods can identify the most affected product components under uncertainty.Findings– The results show that the proposed method could identify product changes during its life cycle, part...
Advances in Intelligent and Soft Computing, 2011
Abstract. Nowadays, there is consensus on the fact that the sustainability, in which the internat... more Abstract. Nowadays, there is consensus on the fact that the sustainability, in which the international political debate constitute one of the most powerful concepts, opens entirely new opportunities for reaching higher levels of development. Sus-tainability development means making ...
IEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management, 2009
The rapid development of real-time systems makes the due date involving criteria especially usefu... more The rapid development of real-time systems makes the due date involving criteria especially useful and important, increasing the interest devoted by researchers to this branch of the scheduling theory. The quality of solutions in real systems is usually estimated from different points of ...
Procedia CIRP, 2014
In this paper, a stochastic mixed integer linear programming (SMILP) model is proposed to optimiz... more In this paper, a stochastic mixed integer linear programming (SMILP) model is proposed to optimize the location and size of facilities and service centres in integrated forward and reverse streams under uncertainty. The objective of the model is to minimize establishment, transportation and inventory management costs and simultaneously maximize customer satisfaction with sustainable perspective. The model incorporates different elements and features of distribution networks including inventory management, transportation and establishment of new facilities as well as existing centres. The presented model is the streamlined approach for multi-objective, multi-period, multi-commodity distribution system, and it is supported by a real case study in automobile after sales network. Genetic algorithm is implemented to solve the model in reasonable time. The performance of the model and the effects of uncertainty on provided solution are studied under different cases. Competitive result of the stochastic model compared to deterministic model ensures that the proposed approach is valid to be applied for decision making under uncertainty.
Logistics Operations and Management, 2011
Page 285. 14 Retail Logistics Hamid Afshari and Fatemeh Hajipouran Benam Iran Khodro Industrial G... more Page 285. 14 Retail Logistics Hamid Afshari and Fatemeh Hajipouran Benam Iran Khodro Industrial Group (IKCO), Iran 14.1 Overview 14.1. ... 3. Determine customer types and characteristics (such as gender and salary level) and needs (such as brand preferences). ...
… of Engineers and …, 2010
... Optimizing Inventory Decisions in Facility Location within Distribution Network Design Hamid ... more ... Optimizing Inventory Decisions in Facility Location within Distribution Network Design Hamid Afshari, Majid Amin-Nayeri, and Amir Ardestanijaafari ... Facility Layout and Location. Prentice-Hall, New Jersey. [8] Freling, R., Romeijn, HE, Morales, DR, Wagelmans, APM, 2003. ...
Volume 4: 18th Design for Manufacturing and the Life Cycle Conference; 2013 ASME/IEEE International Conference on Mechatronic and Embedded Systems and Applications, 2013
ABSTRACT Consumer requirements for products vary dynamically based on the change of technologies,... more ABSTRACT Consumer requirements for products vary dynamically based on the change of technologies, social influence, individual taste, etc. A sustainable product should meet customer requirements in its lifecycle. Different methods and techniques have been proposed to find possible changes of product needs or customers’ preferences. This paper introduces an agent-based technique to address the change of product requirements. Major contribution of the proposed method is to embed customers’ preference in the analysis of product performance using agent interactions. Using the combination of Quality Function Deployment (QFD), agent-based modeling and data mining methods, customers’ preference trends related to elements and functions of product are simulated. The prediction period is flexible based on estimated product lifecycle. The proposed method is compared with other techniques in a case study.
Volume 4: 19th Design for Manufacturing and the Life Cycle Conference; 8th International Conference on Micro- and Nanosystems, 2014