supply chain management analyzing/modelling
Behzad Masoomi; Hassanali Aghajani; Ahmad Jafarnejad; mohammadmehdi movahedi
Abstract
Purpose: The aim of this research is to optimize humanitarian logistics to increase coordination between actors in the phase during and after the disaster and aims to minimize the cost of relief, minimize the time of relief and minimize the cost of rebuilding infrastructure and housing for the affected ...
Read More
Purpose: The aim of this research is to optimize humanitarian logistics to increase coordination between actors in the phase during and after the disaster and aims to minimize the cost of relief, minimize the time of relief and minimize the cost of rebuilding infrastructure and housing for the affected people.Methodology: This research is a part of developmental research in terms of the research directions types ; Because it is trying to expand the existing models in the design of the humanitarian logistics network and consider the optimization of two phases during and post-disaster. The proposed model of this research has been solved using multi-objective genetic algorithm and multi-objective particle swarm.Findings: The implementation of this study will lead to a reduction in the costs of locating, routing and reconstruction in the humanitarian supply chain, as well as reducing the time of providing aid to the affected people and increasing their satisfaction. It is also possible to reduce the inventory of relief products with the help of this issue. Appropriate planning in humanitarian logistics processes, especially in the coordination phase of reconstruction, will be done according to the limited budget of governments and the appropriate use of resources.Originality/Value: One of the innovations of this study is reducing the cost of reconstruction after an earthquake. Several studies were conducted in order to recover from the disaster. Over the past two decades, response phase relief operations have been the focus of a significant number of researchers. However, the issue of post-disaster recovery and reconstruction programs has not been sufficiently discussed in scientific and practical forums.
supply chain management analyzing/modelling
zeinab asadi; Hassanali Aghajani; mohammad valipourkhatir; Erfan Babaee Tirkolaee
Abstract
Purpose: The COVID-19 pandemic has led to a significant crisis in society’s health, industries, and businesses. In this regard, the medical devices industry has played an important role in crisis management and providing healthcare and has faced with several major challenges in supplying raw ...
Read More
Purpose: The COVID-19 pandemic has led to a significant crisis in society’s health, industries, and businesses. In this regard, the medical devices industry has played an important role in crisis management and providing healthcare and has faced with several major challenges in supplying raw materials, production activities, and distribution activities due to the disruptions caused by the pandemic. One of the critically important issues in the medical devices supply chain is supplier selection. Hence, this research investigates the supplier selection problem considering the emerging concepts, which have dramatically attracted the attention of researchers after the COVID-19 pandemic, namely viability and Industry 5.0.
Methodology: In this study, a hybrid fuzzy decision-making approach is developed to investigate the viable supplier selection problem considering the Industry 5.0 dimensions. In this regard, in the first stage, according to the literature and experts, the main indicators of the research problem are extracted and then their weights are calculated using the fuzzy best-worst method. In the next stage, by employing the fuzzy VIKOR method, the feasible suppliers are evaluated. Also, to show the robustness and validation of the proposed approach, its results are compared with the traditional approaches.
Findings: In this study, a list of indicators, including six aspects and 34 criteria, is provided for the research problem based on its nature and their importance have been computed. Based on the outputs, the general metric is the most important aspect and the human-centricity metric is the least significant one. Also, the results show that in addition to the general criteria, such as cost and quality, other criteria such as reliability, technical capability, pollution control, risk reduction and service also play a significant role in the process of selecting suppliers and managers should pay special attention to these indicators in nowadays competitive marketplace.
Originality/Value: Reading the results of this research can help the Industrial and organizational managers to evaluate the potential suppliers of their companies based on the viability and Industry 5.0 dimensions, and select the best ones, which can significantly improve the performance and efficiency of their businesses.
supply chain management analyzing/modelling
Masoud Rabbani; Maryam Hemmati; mohammadReza mehregan
Abstract
Purpose: One of the biggest challenges of the 21st century is meeting the needs of the growing world population. The supply chain of perishable goods, including food, dairy products, medicines, and blood products, have recently received attention due to their impact on human life. In this article, the ...
Read More
Purpose: One of the biggest challenges of the 21st century is meeting the needs of the growing world population. The supply chain of perishable goods, including food, dairy products, medicines, and blood products, have recently received attention due to their impact on human life. In this article, the design of a sustainable supply chain network for perishable items has been discussed. To optimize this supply chain, a multi-objective mixed integer linear programming (MILP) model has been developed to formulate the problem. Fixed deterioration rate (expiration date) is considered.
Methodology: To perform the research calculations, GAMS software and the combined method of Bander's analysis and Lagrange coefficient were used, and based on the data, results were obtained, and the relative weight of the stability of the solution (ω) was equal to 0.5 and the relative weight of the stability of the model was ( ω) equal to 5000 has been developed to meet the proposed objectives. These comparisons show that the presented network was robust in all performance objectives.
Findings: The results obtained from the combined method regarding the three objective functions defined for the main model show this fact. The results of the first iteration provide us with better answers compared to the other iterations.
Originality/Value: This research can be considered as one of the first optimization paper that presented a multi-level and multi-product-multi-period supply chain with uncertainty in the parameters in the dairy and pharmaceutical industries and the environmental costs of production and transportation, and sustainable social costs such as reported accidents and incidents, job satisfaction, safety, reduction of dispatch time and lost working days simultaneously with the economic dimension in management-related decisions. Allocation combines location and routing.
supply chain management analyzing/modelling
Sajad Amirian; Maghsoud Amiri; Mohammad Taghi Taghavifard
Abstract
Purpose: In this research, a multi-product and multi-period closed-loop supply chain design problem with three objectives of profitability, social responsibility, and reliability under uncertain conditions has been considered.
Methodology: Triangular fuzzy numbers have been used for non-deterministic ...
Read More
Purpose: In this research, a multi-product and multi-period closed-loop supply chain design problem with three objectives of profitability, social responsibility, and reliability under uncertain conditions has been considered.
Methodology: Triangular fuzzy numbers have been used for non-deterministic parameters and a robust probabilistic programming approach with Me scale has been used to deal with fuzzy constraints. The proposed approach eliminates the need for iterative consideration by decision-makers by providing unlimited choices from the optimism-pessimism spectrum. The mathematical model developed in this research is of mixed integer linear programming type, which is implemented in GAMS software to solve it and find Pareto optimal solutions.
Findings: The accuracy of the overall performance of the proposed model has been evaluated with four examples (based on the coefficients of the objective functions) from a case study in the aluminum industry. The sensitivity analysis of the demand parameter showed that the proposed model achieved more economic profit, less social responsibility, and less reliability with increasing demand.
Originality/Value: The variability of the justified decision space in the Me criterion has helped to solve the supply chain network design problem more flexibly and closer to reality through the possibility of exchange between the objective function and the risk-taking level of the managers.
supply chain management analyzing/modelling
Amin Farahbakhsh; Amirsaman Kheirkhah
Abstract
Purpose: The production routing problem is created by combining the two problems of lot sizing and vehicle routing. Previous research has examined the effectiveness of this combination in reducing costs. In this paper, the production routing problem is considered with the aim of minimizing the risk of ...
Read More
Purpose: The production routing problem is created by combining the two problems of lot sizing and vehicle routing. Previous research has examined the effectiveness of this combination in reducing costs. In this paper, the production routing problem is considered with the aim of minimizing the risk of production and distribution of hazardous materials. Attention to social and environmental criteria related to sustainability is being increased by researchers today. Hazardous materials are harmful to human health and the environment. Accidents related to these materials often have far-reaching adverse consequences. Risk is a danger measurement criterion for operations related to these materials.Methodology: The problem is modeled as a mixed integer program. The risk function in the proposed model is nonlinear and depends on the load of the machine, the population risk, and the type of hazardous material. Given that solving the mathematical model with the nonlinear objective function is more difficult, this function is approximated by a piecewise linear function.Findings: In this research, 8 standard instances have been used to evaluate and solve the model and compare the two nonlinear and linear models. The results show that by using the approximate model, a better answer can be achieved at the same time. Through sensitivity analysis, the effect of changes to production capacity and warehouses on risk has also been looked into.Originality/Value: This research proposed the production routing problem for hazardous materials according to sustainability criteria using a nonlinear mathematical model and uses a piecewise linear approximation to solve the model.
supply chain management analyzing/modelling
Saeid Kalantari; Hamed Kazemipoor; Farzad Movahedi Sobhani; Seyyed Mohammad Hadji Molana
Abstract
Purpose: Establishing the structure and expansion of sustainable closed-loop supply chains is critical to meeting environmental, economic, and social standards to strengthen their position in competitive markets. This study aims to decide on operational and tactical levels to configure the Stable Closed ...
Read More
Purpose: Establishing the structure and expansion of sustainable closed-loop supply chains is critical to meeting environmental, economic, and social standards to strengthen their position in competitive markets. This study aims to decide on operational and tactical levels to configure the Stable Closed Chain Supply Chain Network (SCLSC) to maximize Net Present Value (NPV) and seek to minimize carbon emissions while maintaining environmentally friendly policies and considering inflation.Methodology: This paper considers a solid Fuzzy Robust Optimization (FRO) approach to deal with stable, closed-loop supply chain uncertainties. Also, due to the complexity of the model and its multi-objective, a new combined method of Heuristic algorithm (HA) and Multi-Choice Goal Programming with Utility Function (MCGP-UF) is used. The proposed Mixed Integer Linear Programming (MILP) model is applied in the electronics industry.Findings: The proposed model is evaluated in several experiments and discussed in different scenarios to confirm the efficiency and validity of the proposed model and method. The results were compared with the two factors of optimal gap and solution time, which showed the proper performance of the proposed method. Then, the tactical results and model strategy were presented for a case study in which the optimal flow between facilities, selection of suitable suppliers, selection of transportation type, and opening of facilities were presented. The findings showed that in different scenarios, the effective improvement of the obtained solutions by reducing the solution time by twenty percent could address large-scale problems.Originality/Value: By considering a new combined method of heuristic algorithm and multi-choice ideal programming with a utility function, this paper is done to solve the problem of designing a stable closed-loop supply chain network under uncertainty.
supply chain management analyzing/modelling
Samaneh Rash; Mostafa Ebrahimpour Azbari; Mohammad Rahim Ramazanian
Abstract
Purpose: Commercial and industrial organizations worldwide are under severe threat of instability. Unsustainability issues arise because of environmental disturbances such as climate change, global warming, resource scarcity, and ecological degradation. Circular Supply Chain (CSC) has gained momentum ...
Read More
Purpose: Commercial and industrial organizations worldwide are under severe threat of instability. Unsustainability issues arise because of environmental disturbances such as climate change, global warming, resource scarcity, and ecological degradation. Circular Supply Chain (CSC) has gained momentum in recent years and serves as one of the most sustainable and innovative approaches to the manufacturing industry. Adoption of the CSC increases the social, economic, and environmental aspects of the production system and the supply chain. However, researchers have conducted significantly less research on identifying and exploring the multiple challenges to implementing CSC in developing countries. Therefore, this research investigates and evaluates the challenges of CSC implementation in the production sector. We have identified 29 CSC challenges in the literature review.Methodology: The research proposes the Pythagorean Fuzzy SWARA (PF-SWARA) technique. This technique prioritizes CSC adoption challenges based on their relative importance. We used the proposed method in the pharmaceutical industry of the Gilan province.Findings: In the final results of the research, Strategic Challenges (SCs) and operational and environmental challenges are prioritized.Originality/Value: This research serves as a step for industry practitioners to efficiently and effectively adopt a CSC.
supply chain management analyzing/modelling
Javad Mohammadghasemi; Seyyed Esmaeil Najafi; Mohammad Fallah; Mohammad Reza Nabatchian
Abstract
Purpose: This paper focuses on modeling a sustainable electricity industry supply chain network under uncertainty. The aim of presenting this supply chain network is to meet customer demands for solar panels to generate clean energy.Methodology: A mixed-integer linear programming model, including facility ...
Read More
Purpose: This paper focuses on modeling a sustainable electricity industry supply chain network under uncertainty. The aim of presenting this supply chain network is to meet customer demands for solar panels to generate clean energy.Methodology: A mixed-integer linear programming model, including facility location, supplier selection, optimal flow allocation, and determination of the optimal price of solar panels in the network, is considered. The sustainability objectives of the model include maximizing the profit of the supply chain network, minimizing greenhouse gas emissions, and maximizing reliability. A robust optimization method is also considered to control uncertain parameters, and precise and innovative techniques are used to solve the model.Findings: The results of the model show that with an increase in network reliability, the current net value in the network decreases, and greenhouse gas emissions in the network increase. Additionally, the analysis of the results shows that with an increase in the network's uncertainty rate, the network's current net value and reliability decrease, and greenhouse gas emissions increase. Finally, the statistical test results also show that there was no significant difference between the averages of the number of practical solutions, the maximum spread, and the metric distance between the two algorithms, and only a significant difference exists between the solution times of the two algorithms. The results of the presented solution methods demonstrate their high efficiency in solving the sustainable electricity industry supply chain model.Originality/Value: In the proposed model, essential decisions such as supplier selection, establishment of production centers, optimal product flow allocation, and pricing of solar panels are made. On the other hand, further analyses of 15 numerical examples show the high efficiency of the MOALO and MOWOA algorithms compared to the epsilon-constraint method.
supply chain management analyzing/modelling
Hamid Saffari; Morteza Abbasi; Jafar Gheidar-Kheljani
Abstract
Purpose: This research proposes a multi-objective and robust model considering both cost and risks related to the environment (water consumption and environmental pollution), social responsibility (working conditions and employee health), operations (change in demand and return rates), and disruption ...
Read More
Purpose: This research proposes a multi-objective and robust model considering both cost and risks related to the environment (water consumption and environmental pollution), social responsibility (working conditions and employee health), operations (change in demand and return rates), and disruption (accs and diseases such as COVID-19) in the supply chain, using horizontal collaboration to deal with it.Methodology: In this research, mixed-integer linear programming and robust optimization technique have been used for closed-loop supply chain network design and a multi-objective method has been developed to solve the problem and create Pareto spaces.Findings: The results of the calculations show the effect of failure probability on the capacity of the facility, the total cost of the network and the degree of collaboration between members of the supply chain to deal with the risk. Also, the amount of cost required for allocation to reliable and unreliable facilities and also creating a suitable Pareto space for deciding on the optimal choice of facilities, capacity and flow between them and iron and steel production technology, according to sustainability and social responsibility indicators, are other research findings.Originality/Value: In this study, for the first time, the design of a robust, sustainable, and resilient network of iron and steel under different risks has been studied. Horizontal collaboration has been used as a new approach to deal with risk and solution method for multi-objective problems has been developed. Using the results of this study, the decision-maker can make informed decisions about the supply chain under risk conditions by considering suitability for each of the objectives.
supply chain management analyzing/modelling
Taher Kouchaki Tajani; Ali Mohtashami; Maghsoud Amiri; Reza Ehtesham Rasi
Abstract
Purpose: This paper aimed to design a robust blood supply chain model that includes the stages of collection, processing and distribution of blood and blood products taking into account the lifespan and age of demand, which seeks to reduce supply chain costs and reduce the shortage and waste of blood ...
Read More
Purpose: This paper aimed to design a robust blood supply chain model that includes the stages of collection, processing and distribution of blood and blood products taking into account the lifespan and age of demand, which seeks to reduce supply chain costs and reduce the shortage and waste of blood products.Methodology: In this paper, MINLP method is used to model the research problem and in order to face the uncertainty in the problem parameters, the MPFRP method based on fuzzy data is proposed. The designed model was first evaluated for validation with numerical examples in small and large size and using real data in a case study in GAMS software?Findings: Using numerical examples and real data, the output indicates the performance of the proposed model. The output also had acceptable flexibility in the face of uncertainty in the parameters of the research model.Originality/Value: In this study, in order to reduce the shortage of blood products in situations where blood product is not available in the same group as the requested blood product, the ABO-RH adaptability principle has been used to replace the received demand with a compatible inventory. And also, to deal with uncertainty in uncertain parameters in the supply chain a solution based onmixed possibilistic-flexible robust programming is proposed.
supply chain management analyzing/modelling
Mohammad Mehdi Rahimian Asl; Mohammad Hassan Maleki
Abstract
Purpose: The purpose of this paper to evaluate the level of antifragility in the supply chain of a Daroopakhsh company. To improve the company's competitive position and confrontation to disruptions and breakdowns, the supply chain must move towards antifragility. Accordingly, the supply chain, in addition ...
Read More
Purpose: The purpose of this paper to evaluate the level of antifragility in the supply chain of a Daroopakhsh company. To improve the company's competitive position and confrontation to disruptions and breakdowns, the supply chain must move towards antifragility. Accordingly, the supply chain, in addition to being prepared to deal with and respond to disruptions, has the ability to recover pre-disruption conditions and create even better conditions. To move in this direction, it is necessary for decision makers to properly recognize the current position of their supply chain and make the right decisions to improve its dominance.Methodology: To achieve this goal, the present study intends to determine the declining performance of this supply chain system in optimal, current and minimum conditions using Demetel technique, graph theory method and matrix approach. Finally, using the importance-performance analysis method, the components of supply chain are analyzed and prioritize the improvement of each factor.Findings: Based on the results, respectively, supply chain structure, improvement and recovery, learning, flexibility and innovation are in the first to fifth priority to improve the dominance structure of the company's supply chain.Originality/Value: This research supports organizations in assessing the level of sufficiency of their supply chain and facilitates decision making. The following approach can simplify the dynamic nature of the environment for managing supply chain disruptions and even allow managers to compare different supply chains. Continuous assessment and monitoring of the level of chain volatility enables the creation of a competitive advantage to achieve greater market share even during a disruption or ongoing disruptions.
supply chain management analyzing/modelling
Farzaneh Rezaee; Nazanin pilevari
Abstract
Purpose: In the current complicated supply chains, sustainability and two social and environmental perspectives have significantly caught researchers’ attention due to their significant role in cost reduction. The present study aims to propose a sustainable multi-tier supply chain model for power ...
Read More
Purpose: In the current complicated supply chains, sustainability and two social and environmental perspectives have significantly caught researchers’ attention due to their significant role in cost reduction. The present study aims to propose a sustainable multi-tier supply chain model for power plant products for industrial and manufacturing factories.Methodology: To this end, a mathematical model was proposed with three objectives: maximizing the social responsibility, minimizing the emission of environmental pollutants, and reducing the costs of the supply chain. The whale and genetic metaheuristic algorithms were employed to propose and solve the model since sustainable supply chain planning was considered an NH-hard problem.Findings: In order to solve the proposed model, the experimental sample was designed in three groups including small, medium, and large in terms of the data of Atmosphere Company. The results of whale optimization and genetic algorithms were compared according to the comparative indices of quality, dispersion, uniformity, and solving time.Originality/Value: According to the results, the whale algorithm was able to provide higher quality and near-optimal solutions than genetic algorithm; in addition, by comparison, it could efficiently explore and extract possible areas of the solution in terms of quality and dispersion indices. However, a shorter amount of time was required for genetic algorithm to uniformly find solutions.
supply chain management analyzing/modelling
elham kouchaki tajani; Armin Ghane Kanafi; Maryam Daneshmand-Mehr; Ali-Asghar HoseinZadeh
Abstract
Purpose: Designing a logistic network is a vital and strategic issue that provides the optimal platform for effective and useful management of supply chain. For this purpose, in this paper, a multi-echelon, multi-product, multi-period and multi-objective sustainable dual-channel closed-loop supply chain ...
Read More
Purpose: Designing a logistic network is a vital and strategic issue that provides the optimal platform for effective and useful management of supply chain. For this purpose, in this paper, a multi-echelon, multi-product, multi-period and multi-objective sustainable dual-channel closed-loop supply chain network has been designed taking into account the technology of RFID. Simultaneously this model seeks to maximize the profits and social responsibility of the supply chain network while it minimizes the whole delay in delivery time and environmental pollution. Also, because definitive models are incapable of understanding the complexities of real-world applications, so this paper also addresses systemic and environmental uncertainties.Methodology: In this study, the scenario-based stochastic robust programming optimization technique is used to deal with the uncertainty of the parameters and to deal with the uncertainty of the parameters, and due to the multi-objective model and for validation and model exact solution in small dimensions of a new robust augmented ε‑constraint method (AUGMECON‑R) is used to achieve the best balance between the objectives. Also, since the problem is of np-hard class, two NSGA-II and MOPSO algorithms were used to solve the model in larger dimensions.Findings: The results show that this model has acceptable efficiency that due to the uncertainty of some parameters.Originality/Value: The proposed model includes mathematical formulas in a certain and robust state that allows the establishment of several complicated characteristics in the above text along with direct and indirect selling channels and repairing centers and secondary costumers create the new design of supply chain that can be supreme model for the managers and professionals with the wide application especially from strategic view.
supply chain management analyzing/modelling
Shahram Mokhlesabadi; Mohsen Hashemi Gohar
Abstract
Purpose: The purpose of this article is to design a GSNCL optimization in the dairy industry of Damdaran using FGP model.Methodology: This article is applied in terms of purpose and in terms of data type and how to implement descriptive-survey research and dissertation modeling, with a FGP approach and ...
Read More
Purpose: The purpose of this article is to design a GSNCL optimization in the dairy industry of Damdaran using FGP model.Methodology: This article is applied in terms of purpose and in terms of data type and how to implement descriptive-survey research and dissertation modeling, with a FGP approach and has optimized the GSNCL in Damdaran industry. The society and the statistical sample consisted of 15 experts in the dairy industry of Damdaran, who have at least 10 years of executive experience in these industries and evaluation of supply network, as well as academic professors specializing in the field of GSNCL.Findings: The results of modeling and solving the numerical model, the importance of the role of financial dimension and simultaneous consideration of the environmental, financial and social dimensions in the mathematical model to gain competitive advantage of the GSNCL. Also, cost parameters have a positive effect on the economic performance of the main supply chain program, but by examining these parameters in sensitivity analysis, it causes a decrease in production performance in social and environmental dimensions.Originality/Value: Knowledge-enhancing research from an applied point of view can provide important information for decision makers, senior managers of dairy industry in the country about optimizing the GSNCL and maintaining the environment. The innovation aspect of the present study is to design a four-objective model to minimize economic costs, emissions of pollutant gases throughout the living network, the amount of social damages, and maximize the total revenue generated from the sale of products during the supply network using FGP. Modeling of FGP problem in a multilevel, multi-round and multi-product supply network has been carried out with the aim of minimizing undesirable deviations of each of the four ideals from the desired level.
supply chain management analyzing/modelling
Javid Ghahremani Nahr; Mehrnaz Bathaee
Abstract
Purpose: In this paper, a humanitarian logistics network is designed considering the purchase contract in conditions of uncertainty. Due to the importance of such networks in the event of unforeseen events, the designed model seeks to determine the central and local warehouses as well as shelters to ...
Read More
Purpose: In this paper, a humanitarian logistics network is designed considering the purchase contract in conditions of uncertainty. Due to the importance of such networks in the event of unforeseen events, the designed model seeks to determine the central and local warehouses as well as shelters to transport the injured. Also, determining the optimal amount of inventory and the correct way of transferring items and injured are other network decisions. In this article, the contract for purchasing items before and after the accident is concluded with suppliers in order to supply raw materials to the severity of the accident.Methodology: Due to the uncertainty in the model, the robust optimization method is used to control the uncertainty, and due to the NP-Hardness of the model, the new Gray Wolf-Genetics Algorithm (GGWA) is used to solve the model.Findings: The results show that contract operation has reduced the costs of the entire humanitarian logistics network. The comparison of the means of the objective function and the computational time shows the high speed of the GGWA algorithm in finding near-optimal solutions compared to the PSO and GA algorithms.Originality/Value: In this paper, a new model of humanitarian supply chain network has been designed, which has obtained very favorable results from the problem using the GGWA algorithm in the shortest time.
supply chain management analyzing/modelling
Reza Khlilzade; Parviz Saeidi; Arash Naderian; Iebrhim Abbasie
Abstract
Purpose: The aim of this study was to design the financial agility model of the supply chain process in companies.Methodology: The research method is descriptive and applied. In terms of orientation, it is fundamental and in terms of purpose, it is exploratory-qualitative. The research population ...
Read More
Purpose: The aim of this study was to design the financial agility model of the supply chain process in companies.Methodology: The research method is descriptive and applied. In terms of orientation, it is fundamental and in terms of purpose, it is exploratory-qualitative. The research population included: academic and industrial experts and the sample was selected based on the snowball sampling method. Data collection instruments were semi-structured interviews with industrial managers and academic experts. In the data analysis, first, the codes and components of financial agility were extracted from the interviews and formulated in the form of a conceptual Grounded theory model.Findings: The core category was the financial agility, which was presented in three dimensions, and the causal, contextual, and intervening conditions, and strategies and results, were formulated and then, the final model was designed. Afterwards, the model was validated by using the Delphi model. According to the results of this study, the main categories of the developed model included intra-organizational, technological and human factors.Originality/Value: Therefore, based on the proposed model of this research can be the expected consequences of the financial agility model in business companies can be understood.
supply chain management analyzing/modelling
Parisa Bolhasani; Mohammad Fallah; Reza Tavakkoli-Moghaddam; Akbar Alam Tabriz
Abstract
Purpose: Increasing the population, followed by increasing human needs and problems related to transportation, has led managers to seek for solutions by the goal of increasing economic profitability and reducing costs. Therefore, in this study, a set of location decisions, vehicle routing and inventory ...
Read More
Purpose: Increasing the population, followed by increasing human needs and problems related to transportation, has led managers to seek for solutions by the goal of increasing economic profitability and reducing costs. Therefore, in this study, a set of location decisions, vehicle routing and inventory management has been used as the main tools to face with these problems.Methodology: model has been solved and validated by Gams software using Epsilon method in small scale. Since this is one of the NP-Hard problems, meta-heuristic algorithms, MOPSO, MOFF, MOIWO, NSGA-II have been used to solve large-scale problems.Finding: The results of all comparative criteria show the superiority of the MOIWO algorithm over other algorithms and the appropriate efficiency of these methods in solving the mathematical model, especially in high dimensions and short times.Originality / Value: In this study, the design of hazardous materials transportation network is considered by considering the decisions related to location, routing, inventory. For this purpose, a new multi-objective mathematical model with the objectives of minimizing cost, minimizing travel time and maximum social responsibility is presented. This mathematical model can be used in different areas and different dimensions.
supply chain management analyzing/modelling
Mostafa Ziyaei Hajipirlu; Houshang Taghizadeh; Mortaza Honarmand azimi
Abstract
Due to the complex and multifaceted nature of supply chain resilience, hasn't yet been proposed a comprehensive, concrete, and aggregative model that includes the prevailing consensus of researchers in this field. In order to try to achieve that, the present study was conducted with the aim of forming ...
Read More
Due to the complex and multifaceted nature of supply chain resilience, hasn't yet been proposed a comprehensive, concrete, and aggregative model that includes the prevailing consensus of researchers in this field. In order to try to achieve that, the present study was conducted with the aim of forming a comprehensive model for supply chain resilience assessment using an integrated approach based on scientometrics and various artificial intelligence methods based on knowledge extraction from the text. The statistical population includes all indexed articles related to supply chain resilience from 2002 to 2020 in the two scientific databases Scopus and WOS. During the three stages of document refinement with a systematic review approach, scientometric information, and the full text of 346 articles were extracted and used in the analysis process. Utilizing an integrated approach based on the fusion of scientometrics of related metadata, and artificial intelligence tools to extraction of supply chain resilience assessment tool obtain the main innovation of this research which makes feasible establishing an evaluation model without interfering with researcher source biases. Finally, the supply chain resilience evaluation model including 4 main structures and 25 sub-structures was extracted from related scientific documents.
supply chain management analyzing/modelling
Mohammad Hossein Darvish Motevali; Majid Motamedi
Abstract
Data envelopment analysis is the most widely used mathematical model to evaluate the efficiency of decision units. Classical and simple network models in data envelopment analysis are not able to calculate the efficiency of multi-stage and sequential supply networks. These types of networks include several ...
Read More
Data envelopment analysis is the most widely used mathematical model to evaluate the efficiency of decision units. Classical and simple network models in data envelopment analysis are not able to calculate the efficiency of multi-stage and sequential supply networks. These types of networks include several successive structures and components, such as the 5-level supply network, which are used in many strategic industries. The distinction between this structure and the sequence of supply networks with several components over time as well as the relationship between the efficiency of a time period and the total efficiency during a time period is examined. The purpose of this paper is modeling in the form of developing a non-radial SBM model and presenting a dynamic data envelopment analysis model to evaluate the performance of a sustainable supply network as a wide and multi-level network so that efficiency can be calculated at five levels of supply network as well as periods. Provide consecutive. The model presented in the 5-level supply network in the cement industry has been validated. The results showed that the new model performs a logical and close to reality evaluation compared to the classic and static network models.
supply chain management analyzing/modelling
Samira Kiani; Parvaneh Samouei
Abstract
In this paper, a closed-loop supply chain for pharmaceutical items consists of a pharmacy, a distribution center, a recycling center and several pharmacy sites is considered in which two types of routing are performed. The first involves the routing of vehicles between the distribution center and the ...
Read More
In this paper, a closed-loop supply chain for pharmaceutical items consists of a pharmacy, a distribution center, a recycling center and several pharmacy sites is considered in which two types of routing are performed. The first involves the routing of vehicles between the distribution center and the pharmacies, and the second involves the routing of vehicles to the recycling center and all nodes. Two types of pharmaceutical items are considered for this purpose, and their demand varies for different periods. The distribution center can offer discounts depending on the pharmacy orders. In addition, the distribution center can increase its capacity by renting more warehouses. Also, we have two objective functions: minimizing costs and environmental pollutants caused by carbon dioxide emissions. This problem is solved in the small-sized problem by the Epsilon constraint method and in the large cases by two hybrid algorithms based on the Fordyce-Webster algorithms and NSGAII-FW and MOSA and evaluated by different criteria. The computational results show that the NSGAII-FW algorithm is more efficient than the MOSA algorithm.
supply chain management analyzing/modelling
Jahanyar Bamdad Soofi; Samin Saeidpour; Fatemeh Mohammadnezhad Chari
Abstract
Developing the right sourcing strategy in corporate supply management is so critical for today's executive managers. Manufacturers must be aware of the complexities and risks of sourcing at a competitive cost to ensure the availability of long-term materials and components. They have to deal with uncertainty ...
Read More
Developing the right sourcing strategy in corporate supply management is so critical for today's executive managers. Manufacturers must be aware of the complexities and risks of sourcing at a competitive cost to ensure the availability of long-term materials and components. They have to deal with uncertainty and supply/price trade-off. This can lead to a variety of supply strategies including concurrent outsourcing in addition to the strategy of sourcing. After classifying the selected items on the basis of Kraljic supply portfolio model, 39 factors affecting sourcing were identified according to three approaches concerning “risk management”, “Resource Base View” and “Transactional Cost Theory”. Then the above-mentioned factors were screened and localized according to the Fuzzy hypothesis test questionnaire and finally, 15 criteria were selected. In the next step, the relationships obtained from the DEMATEL method were used for the Analytic Network Process to determine the weight of each indicator. Then, according to the weight of each indicator, the decision was made on how to supply each group of items through the PROMETHEE questionnaire and the results were compared with Kraljic instructions. Finally, according to the results, the relevant strategies of sourcing were suggested based on Kraljic model. The best strategy for the group of “strategic goods” was related to internal production. If the goods are classified on the group of “leveraged and non-critical” it will be better to outsource. Finally, the most suitable strategy for the group of “bottleneck goods” is concurrent sourcing.
supply chain management analyzing/modelling
seyyedmoein baharisaravi; Reza Hasan Zadeh
Abstract
Dam failure is one of the main and most important consequences of dam safety factors and the prospect of dam failure is a matter of concern in dam construction issues. Engineering science and experience in dam construction show that, on average, less than one dam annually breaks through the tens of thousands ...
Read More
Dam failure is one of the main and most important consequences of dam safety factors and the prospect of dam failure is a matter of concern in dam construction issues. Engineering science and experience in dam construction show that, on average, less than one dam annually breaks through the tens of thousands of large dams in the world. For this purpose, this paper proposes a model to simulate the occurrence of an accident and perform logistic planning with the aim of improving logistical measures and responding to crisis situations in order to achieve the best performance in times of crisis. In this paper, we try to illustrate the failure of Shahid Rajaee Dam in Sari using simulation technique and analyze its subsequent consequences, in order to use the output information as a basic mathematical modeling information. . So at the end of the research we can clearly select the optimal routes with the least cost and transportation time.The innovation of the present study is to use a three-objective model to reduce shipping, warehousing and relief costs in the shortest time possible to manage the crisis using this model.
supply chain management analyzing/modelling
Amin Mahmudi; Fatemeh Mojibian; Afrooz Noory Sabet
Abstract
In today’s highly competitive business environment, which is known by characteristics of low profitability, high customer expectations for high-quality products and minimum waiting time, make companies efforts to transform constraints into opportunities for gaining competitive advantage by optimizing ...
Read More
In today’s highly competitive business environment, which is known by characteristics of low profitability, high customer expectations for high-quality products and minimum waiting time, make companies efforts to transform constraints into opportunities for gaining competitive advantage by optimizing their business processes. In such a situation, appropriate supplier selection can play a key role in the efficiency and effectiveness of the organization and have a direct impact on reducing costs, profitability, and flexibility of a company. The purpose of this research is to provide a supplier selection model with simultaneous consideration of two sources of inventory control and pricing in the supply chain. To assess the validity and reliability of the model, the actual data of the Seven Diamond Industries Company including input materials (Hot Roll) and products (galvanized sheets) have been used. The proposed model is coded in the GAMS software and its results have been analyzed.
supply chain management analyzing/modelling
Soroush Avakh Darestani; Neda Behboodi
Abstract
Proper selection of suppliers and effective management of relationships with them is a key factor in increasing the competitiveness of companies. In order to implement this philosophy, the supplier's choice in the supply chain is considered as an important issue and leads decision-makers to use valid ...
Read More
Proper selection of suppliers and effective management of relationships with them is a key factor in increasing the competitiveness of companies. In order to implement this philosophy, the supplier's choice in the supply chain is considered as an important issue and leads decision-makers to use valid techniques and methods to select the supplier. Choosing the right supplier will significantly reduce the cost of purchasing the raw materials as well as the waiting time until the ordered cargo arrives; it also increases the level of competitiveness of the company. In this research, a performance evaluation model for suppliers in the agile supply chain is developed using a balanced scorecard and multi-criteria decision-making methods in the uncertainty environment of Pakshu Company. In this research, using the DEMATEL method, we first determine the causal relationships of the main perspectives and indicators. Then, using the ANP method, we calculate the sub-indices weight, and finally, using the developed VIKOR method, we will evaluate the final evaluation of the suppliers of Pakshu companies. Also, agile indicators were the criteria for action and decision. In this research, five major suppliers of Pakshoo have been evaluated. Ultimately, GOLDEAST is the best performing company and ZHENGDA has the weakest performance.
supply chain management analyzing/modelling
Aminollah Heshmati
Abstract
Healthcare supply chain management is one of the interesting topics for researchers in recent years. In the event of natural disasters and the creation of crises, healthcare supply chain plays a very important and effective role in reducing fatalities and injuries, and ultimately save the lives of victims. ...
Read More
Healthcare supply chain management is one of the interesting topics for researchers in recent years. In the event of natural disasters and the creation of crises, healthcare supply chain plays a very important and effective role in reducing fatalities and injuries, and ultimately save the lives of victims. So matters the integration of healthcare supply chain with the crisis supply chain in the event of a natural disaster. In this paper, have been investigating the studies in the field of health supply chain and crisis supply chain, completely, and after analyzing these studies, have been proposed challenging issues and research opportunities in the integration of healthcare supply chain, and crisis supply chain in the event of natural disaster for future work. These issues are including of disruptions in supply chain transportation system in crisis circumstances, appropriate inventory model of the medical centres involved in the supply chain in crisis circumstances, integration of different parts of the supply chain in crisis circumstances and expanded use of information technology in the supply chain in critical circumstances.