Atour TAGHIPOUR is a professor and the head of a master program in international management (Purchasing ) at Normandy University in France. He holds an HDR in Management from Normandy University in France and a PhD in Industrial Engineering from the Polytechnic School of Montreal in Canada. He received two masters’ degrees, one in Management, Logistics & Strategy and other in Industrial Engineering. He has more than ten years of experiences as a manager in automobile industries. He has published different books and many research papers in international journals. His areas of research are supply chain and operations management.
In today’s environment, as the complexity of actual events develops, products become increasingly... more In today’s environment, as the complexity of actual events develops, products become increasingly complicated. As a result, companies should collaborate to integrate disparate technologies while developing a product or service. Additionally, collaborating with the right supplier helps a company increase the flexibility, competitiveness, and profitability of its goods or services. The goal of this study is to look into the factors that influence supplier selection for speech recognition. Twelve sub-criteria for quality, affordability, maintenance, and adaptability are used to evaluate prospective providers. Two separate hybrid methodologies for finding the best supplier of an information technology product are presented. intuitionistic Fuzzy Due to the uncertainty of the data, VIKOR operates as the decision-making matrix and solves the issue by determining the ideal alternative for group utility using VIKOR. The second technique, Q-ROF TOPSIS, selects suppliers by utilizing q-rung or...
Proceedings of the 7th International Conference on Information Communication and Management - ICICM 2017, 2017
Reverse logistics is a new concept in logistics. It has gained increasing importance as a profita... more Reverse logistics is a new concept in logistics. It has gained increasing importance as a profitable and sustainable strategy. It is a key element with regard to the increasingly stringent regulatory pressures across the world on the end of life products. Some manufacturers have engaged in product recovery to reduce production costs, enhance environmental performance and pre-empt legislation. However, the main question is to how optimize the process of reverse logistics. This paper tries to answer this question by studying the literature of reverse logistics. Based on the literature, we propose three steps necessary in the management of the reverse logistics activities.
Hierarchical Planning and Information Sharing Techniques in Supply Chain Management, 2019
The main objective of studying decentralized supply chains is to demonstrate that a better interf... more The main objective of studying decentralized supply chains is to demonstrate that a better interfirm collaboration can lead to a better overall performance of the system. Many researchers studied a phenomenon called downstream demand inference (DDI), which presents an effective demand management strategy to deal with forecast problems. DDI allows the upstream actor to infer the demand received by the downstream one without information sharing. Recent study showed that DDI is possible with simple moving average (SMA) forecast method and was verified especially for an autoregressive AR(1) demand process. This chapter extends the strategy's results by developing mean squared error and average inventory level expressions for causal invertible ARMA(p,q) demand under DDI strategy, no information sharing (NIS), and forecast information sharing (FIS) strategies. The authors analyze the sensibility of the performance metrics in respect with lead-time, SMA, and ARMA(p,q) parameters, and c...
Digitalization of Decentralized Supply Chains During Global Crises, 2021
The chapter proposes ways to improve the digitalization of supply chains during global crises. Af... more The chapter proposes ways to improve the digitalization of supply chains during global crises. After a survey conducted on a sample of 49 logistics professionals, the authors find that today it has become necessary to accelerate the deployment of an advanced digitalization of the supply chain as a whole. Due to the problems encountered during pandemic crises throughout history, especially the COVID-19 crisis, and in today's computerized world, it is needed to transform the supply chains towards 100% digital. In order to do that, first the authors need to study the fluctuations in supply and demand during crises in order to understand the general effect of pandemics on the supply chain. Thereafter, it is necessary to adopt and improve the appropriate IT systems, especially to digitalize the interaction between buyers and suppliers. This will change the purchasing contracts because the buyers have more transparency on the situation of their suppliers since access to information is...
Abstract This paper studies the design of the green medicine supply chain network under uncertain... more Abstract This paper studies the design of the green medicine supply chain network under uncertainty, which integrates allocation, location, production, distribution, routing, inventory, and purchasing problems. The main contribution of the current paper is to design a fuzzy bi-objective Mixed-Integer Linear Programming (MILP) model for a multi-period, three-echelon, multi-product, and multi-modal transportation green medicine supply chain network (GMSCN). Additionally, the main aim of this network is to consider the environmental impacts related to the establishment of pharmacies and hospitals, by focusing on the reduction of greenhouse gases and the control of environmental pollutants. Therefore, to cope with uncertain parameters, fuzzy programming is utilized to examine uncertainty parameters. To solve the GMSCN model, meta-heuristic algorithms are used, including social engineering optimization, improved kill herd, improved social spider optimization, and hybrid whale optimization and simulated annealing. In this regard, two new hybrid algorithms called hybrid Firefly Algorithm and Simulated Annealing (HFFA-SA) and Hybrid Firefly Algorithm and Social Engineering Optimization (HFFA-SEO) to solve the proposed model for the first time are developed. In order to show the applicability of our paper and the lack of benchmark functions in the literature, a set of simulated data in two sizes including small- and large-sized problems is provided. Finally, the results of the analysis and the designed problems indicate that the GMSCN model and developed solution approaches are promising.
2013 International Conference on Advanced Logistics and Transport, 2013
This paper proposes a new algorithm to coordinate two partners of a supply chain. Using incentive... more This paper proposes a new algorithm to coordinate two partners of a supply chain. Using incentive systems to influence their partner's planning, members of supply chains exchange non-strategic information to coordinate their operations planning with their partners.
2008 3rd International Conference on Information and Communication Technologies: From Theory to Applications, 2008
The Global Positioning System is the most popular choice for positioning in car navigation system... more The Global Positioning System is the most popular choice for positioning in car navigation systems. But in real life, the various noise sources affecting the signals and the instrumentation used by the positioning system, along with the map inaccuracies, result in the estimated position not necessarily being overlaid onto the road network. The process of mapping the output from the
2014 International Conference on Advanced Logistics and Transport (ICALT), 2014
This paper presents a general approach to coordinate a divergent supply network with one supplier... more This paper presents a general approach to coordinate a divergent supply network with one supplier and some manufacturers. Our objective is to show that network coordination can be achieved without sharing the strategic information which can be considered as a risk for independent organizations.
Advances in Logistics, Operations, and Management Science, 2021
A new variant of the delivery and pickup transportation problem called mixed delivery and pickup ... more A new variant of the delivery and pickup transportation problem called mixed delivery and pickup routing problem with unmanned aerial vehicles in case of limited flow is introduced. The objective is to minimize operational costs including total transportation costs and service time at each point. This variant is a solution for the urban congestion, and consequently, it is an improvement of the general transport system. First, the problem is formulated mathematically. It is considered as NP-hard; therefore, the authors proposed an iterated local search algorithm to solve the problem of mixed pickup and delivery without drone. Then, a vehicle first-drone second algorithm is used to solve the mixed delivery and pickup problem with drone. The performance of the method is compared through numerical experiments based on instance derived from the literature as well as on a set of randomly generated instances. Numerical results have shown that proposed metaheuristic method performs consiste...
Contemporary Approaches and Strategies for Applied Logistics, 2018
Companies are dependent on the resources and information of other members of the supply chains. T... more Companies are dependent on the resources and information of other members of the supply chains. To manage their resources, companies use coordination mechanisms. Despite the inter-dependency between logistics actors, they are independent units with conflicting objectives. These two characteristics can increase the complexity of planning in logistics networks. According to the literature of supply chain management, some mechanisms largely use the information shared by members to achieve an optimal solution and some others are based on minimum level of information sharing. This chapter addresses the coordination problem in a logistics networks with more than two partners, while the information is in a private element that is not exchanged with other partners.
One way to develop local clusters is to strengthen those clusters by using outsourcing to conduct... more One way to develop local clusters is to strengthen those clusters by using outsourcing to conduct strategic social responsibility, or in other words, to create shared value, which is a win-win strategy for the buyer, supplier, and society and the best and most viable alternative to traditional corporate social responsibilities. In the leading research, a model for decision-making within the supply chain has been developed for purchasing based on shared value creation, long-term relationship management, and purchasing strategies. The research consists of two strategic mathematical models, using goal programming, and then is solved by a meta-heuristic algorithm. Potential outsourcing companies are assessed and then clustered according to their geographic locations in the decision-making process. One (or several) cluster(s) was selected among clusters based on knowledge and relationship criteria. Besides, in the primary mathematical model, the orders in different periods and the select...
In today’s environment, as the complexity of actual events develops, products become increasingly... more In today’s environment, as the complexity of actual events develops, products become increasingly complicated. As a result, companies should collaborate to integrate disparate technologies while developing a product or service. Additionally, collaborating with the right supplier helps a company increase the flexibility, competitiveness, and profitability of its goods or services. The goal of this study is to look into the factors that influence supplier selection for speech recognition. Twelve sub-criteria for quality, affordability, maintenance, and adaptability are used to evaluate prospective providers. Two separate hybrid methodologies for finding the best supplier of an information technology product are presented. intuitionistic Fuzzy Due to the uncertainty of the data, VIKOR operates as the decision-making matrix and solves the issue by determining the ideal alternative for group utility using VIKOR. The second technique, Q-ROF TOPSIS, selects suppliers by utilizing q-rung or...
Proceedings of the 7th International Conference on Information Communication and Management - ICICM 2017, 2017
Reverse logistics is a new concept in logistics. It has gained increasing importance as a profita... more Reverse logistics is a new concept in logistics. It has gained increasing importance as a profitable and sustainable strategy. It is a key element with regard to the increasingly stringent regulatory pressures across the world on the end of life products. Some manufacturers have engaged in product recovery to reduce production costs, enhance environmental performance and pre-empt legislation. However, the main question is to how optimize the process of reverse logistics. This paper tries to answer this question by studying the literature of reverse logistics. Based on the literature, we propose three steps necessary in the management of the reverse logistics activities.
Hierarchical Planning and Information Sharing Techniques in Supply Chain Management, 2019
The main objective of studying decentralized supply chains is to demonstrate that a better interf... more The main objective of studying decentralized supply chains is to demonstrate that a better interfirm collaboration can lead to a better overall performance of the system. Many researchers studied a phenomenon called downstream demand inference (DDI), which presents an effective demand management strategy to deal with forecast problems. DDI allows the upstream actor to infer the demand received by the downstream one without information sharing. Recent study showed that DDI is possible with simple moving average (SMA) forecast method and was verified especially for an autoregressive AR(1) demand process. This chapter extends the strategy's results by developing mean squared error and average inventory level expressions for causal invertible ARMA(p,q) demand under DDI strategy, no information sharing (NIS), and forecast information sharing (FIS) strategies. The authors analyze the sensibility of the performance metrics in respect with lead-time, SMA, and ARMA(p,q) parameters, and c...
Digitalization of Decentralized Supply Chains During Global Crises, 2021
The chapter proposes ways to improve the digitalization of supply chains during global crises. Af... more The chapter proposes ways to improve the digitalization of supply chains during global crises. After a survey conducted on a sample of 49 logistics professionals, the authors find that today it has become necessary to accelerate the deployment of an advanced digitalization of the supply chain as a whole. Due to the problems encountered during pandemic crises throughout history, especially the COVID-19 crisis, and in today's computerized world, it is needed to transform the supply chains towards 100% digital. In order to do that, first the authors need to study the fluctuations in supply and demand during crises in order to understand the general effect of pandemics on the supply chain. Thereafter, it is necessary to adopt and improve the appropriate IT systems, especially to digitalize the interaction between buyers and suppliers. This will change the purchasing contracts because the buyers have more transparency on the situation of their suppliers since access to information is...
Abstract This paper studies the design of the green medicine supply chain network under uncertain... more Abstract This paper studies the design of the green medicine supply chain network under uncertainty, which integrates allocation, location, production, distribution, routing, inventory, and purchasing problems. The main contribution of the current paper is to design a fuzzy bi-objective Mixed-Integer Linear Programming (MILP) model for a multi-period, three-echelon, multi-product, and multi-modal transportation green medicine supply chain network (GMSCN). Additionally, the main aim of this network is to consider the environmental impacts related to the establishment of pharmacies and hospitals, by focusing on the reduction of greenhouse gases and the control of environmental pollutants. Therefore, to cope with uncertain parameters, fuzzy programming is utilized to examine uncertainty parameters. To solve the GMSCN model, meta-heuristic algorithms are used, including social engineering optimization, improved kill herd, improved social spider optimization, and hybrid whale optimization and simulated annealing. In this regard, two new hybrid algorithms called hybrid Firefly Algorithm and Simulated Annealing (HFFA-SA) and Hybrid Firefly Algorithm and Social Engineering Optimization (HFFA-SEO) to solve the proposed model for the first time are developed. In order to show the applicability of our paper and the lack of benchmark functions in the literature, a set of simulated data in two sizes including small- and large-sized problems is provided. Finally, the results of the analysis and the designed problems indicate that the GMSCN model and developed solution approaches are promising.
2013 International Conference on Advanced Logistics and Transport, 2013
This paper proposes a new algorithm to coordinate two partners of a supply chain. Using incentive... more This paper proposes a new algorithm to coordinate two partners of a supply chain. Using incentive systems to influence their partner's planning, members of supply chains exchange non-strategic information to coordinate their operations planning with their partners.
2008 3rd International Conference on Information and Communication Technologies: From Theory to Applications, 2008
The Global Positioning System is the most popular choice for positioning in car navigation system... more The Global Positioning System is the most popular choice for positioning in car navigation systems. But in real life, the various noise sources affecting the signals and the instrumentation used by the positioning system, along with the map inaccuracies, result in the estimated position not necessarily being overlaid onto the road network. The process of mapping the output from the
2014 International Conference on Advanced Logistics and Transport (ICALT), 2014
This paper presents a general approach to coordinate a divergent supply network with one supplier... more This paper presents a general approach to coordinate a divergent supply network with one supplier and some manufacturers. Our objective is to show that network coordination can be achieved without sharing the strategic information which can be considered as a risk for independent organizations.
Advances in Logistics, Operations, and Management Science, 2021
A new variant of the delivery and pickup transportation problem called mixed delivery and pickup ... more A new variant of the delivery and pickup transportation problem called mixed delivery and pickup routing problem with unmanned aerial vehicles in case of limited flow is introduced. The objective is to minimize operational costs including total transportation costs and service time at each point. This variant is a solution for the urban congestion, and consequently, it is an improvement of the general transport system. First, the problem is formulated mathematically. It is considered as NP-hard; therefore, the authors proposed an iterated local search algorithm to solve the problem of mixed pickup and delivery without drone. Then, a vehicle first-drone second algorithm is used to solve the mixed delivery and pickup problem with drone. The performance of the method is compared through numerical experiments based on instance derived from the literature as well as on a set of randomly generated instances. Numerical results have shown that proposed metaheuristic method performs consiste...
Contemporary Approaches and Strategies for Applied Logistics, 2018
Companies are dependent on the resources and information of other members of the supply chains. T... more Companies are dependent on the resources and information of other members of the supply chains. To manage their resources, companies use coordination mechanisms. Despite the inter-dependency between logistics actors, they are independent units with conflicting objectives. These two characteristics can increase the complexity of planning in logistics networks. According to the literature of supply chain management, some mechanisms largely use the information shared by members to achieve an optimal solution and some others are based on minimum level of information sharing. This chapter addresses the coordination problem in a logistics networks with more than two partners, while the information is in a private element that is not exchanged with other partners.
One way to develop local clusters is to strengthen those clusters by using outsourcing to conduct... more One way to develop local clusters is to strengthen those clusters by using outsourcing to conduct strategic social responsibility, or in other words, to create shared value, which is a win-win strategy for the buyer, supplier, and society and the best and most viable alternative to traditional corporate social responsibilities. In the leading research, a model for decision-making within the supply chain has been developed for purchasing based on shared value creation, long-term relationship management, and purchasing strategies. The research consists of two strategic mathematical models, using goal programming, and then is solved by a meta-heuristic algorithm. Potential outsourcing companies are assessed and then clustered according to their geographic locations in the decision-making process. One (or several) cluster(s) was selected among clusters based on knowledge and relationship criteria. Besides, in the primary mathematical model, the orders in different periods and the select...
Demand Forecasting and Order Planning in Supply Chains and Humanitarian Logistics, 2021
A new variant of the delivery and pickup transportation problem called mixed delivery and pickup ... more A new variant of the delivery and pickup transportation problem called mixed delivery and pickup routing problem with unmanned aerial vehicles in case of limited flow is introduced. The objective is to minimize operational costs including total transportation costs and service time at each point. This variant is a solution for the urban congestion, and consequently, it is an improvement of the general transport system. First, the problem is formulated mathematically. It is considered as NP-hard; therefore, the authors proposed an iterated local search algorithm to solve the problem of mixed pickup and delivery without drone. Then, a vehicle first-drone second algorithm is used to solve the mixed delivery and pickup problem with drone. The performance of the method is compared through numerical experiments based on instance derived from the literature as well as on a set of randomly generated instances. Numerical results have shown that proposed metaheuristic method performs consistently well in terms of both the quality of the solution and the computational time when using drone with vehicle.
Uploads
Papers by Atour Taghipour