Planning and scheduling is one of the most important activity in supply chain operation management.Over the years,there have been multiple researches regarding planning and scheduling which are applied to improve a va...Planning and scheduling is one of the most important activity in supply chain operation management.Over the years,there have been multiple researches regarding planning and scheduling which are applied to improve a variety of supply chains.This includes two commonly used methods which are mathematical programming models and heuristics algorithms.Flowshop manufacturing systems are seen normally in industrial environments but few have considered certain constraints such as transportation capacity and transportation time within their supply chain.A two-stage flowshop of a single processing machine and a batch processing machine are considered with their capacity and transportation time between twomachines.The objectives of this research are to build a suitable mathematical model capable of minimizing the maximum completion time,to propose a heuristic optimization algorithm to solve the problem,and to develop an applicable program of the heuristics algorithm.AMixed Integer Programming(MIP)model and a heuristics optimization algorithmwas developed and tested using a randomly generated data set for feasibility.The overall results and performance of each approach was compared between the two methods that would assist the decision maker in choosing a suitable solution for their manufacturing line.展开更多
The finance supply chain has always been a different supply chain compared to product supply chain being a service supply chain.Open Banking(OB)is one of the most important milestones since the beginning of financial ...The finance supply chain has always been a different supply chain compared to product supply chain being a service supply chain.Open Banking(OB)is one of the most important milestones since the beginning of financial technology innovation and service supply chain.As these are activities provided by traditional banks,non-bank financial institutions also provide financial service with access to consumer banking,transactional and other financial data to develop financial applications and services tailored to their customers.The development of financial technology,“Open banking”,promotes financial services to begin this transformation.However,evaluating and selecting open banking business partners from multiple perspectives for banks are underexplored.Thus,the authors in this research proposed a hybrid multicriteria decision-making model which includes a Spherical Fuzzy Analytical Hierarchy Process(SF-AHP)model and a Multi-Attributive Ideal-Real Comparative Analysis(MAIRCA)model with supports from seasoned domain experts.The contribution of this research is a proposition of a fuzzy decision model for evaluating and selecting open banking business partners.The model successfully determined a suitable open bank provider in order to assist decision makers decide objectively.展开更多
As global supply chains become more developed and complicated,supplier quality has become increasingly influential on the competitiveness of businesses during the Covid-19 pandemic.Consequently,supplier selection is a...As global supply chains become more developed and complicated,supplier quality has become increasingly influential on the competitiveness of businesses during the Covid-19 pandemic.Consequently,supplier selection is an increasingly important process for any business around the globe.Choosing a supplier is a complex decision that can result in lower procurement costs and increased profits without increasing the cost or lowering the quality of the product.However,these decision-making problems can be complicated in caseswithmultiple potential suppliers.Vietnam’s textile and garment industry,for example,has made rapid progress in recent years but is still facing great difficulties as the supply of raw materials and machinery depends heavily on foreign countries.Therefore,it is extremely important for textile and garment manufacturing companies in Vietnam to implement an effective supplier evaluation and selection process.While multicriteria decision-making models are frequently employed to assist with supplier evaluation and selection problems,few of these models consider the problem under the condition of a fuzzy decision-making environment.The aim of this paper is to create a hybrid MCDM model using the Fuzzy Analytical Hierarchy Process(FAHP)model and the Technique for Order of Preference by Similarity to Ideal Solution(TOPSIS)to assist the supplier selection process in the garment industry in a fuzzy decision-making environment.In this study,the FAHP method is used to evaluate the performance and the weight of each criterion.TOPSIS is then used to rank all potential suppliers.The proposed model is then applied to a real-world case study to demonstrate both the process of calculation as well as its real-world applicability.The results from the case study provide empirical evidence that the model is feasible.The proposed approach can also be used in combination with other MCDM models to better support decision makers and can be modified to be applied in similar supplier selection processes for different industries.展开更多
The 21st century is associated with the IndustrialRevolution 4.0 and the organic agriculture trend,making the utilization of high-quality fertilizers,abundant nutritional content,economical,and no affect to environmen...The 21st century is associated with the IndustrialRevolution 4.0 and the organic agriculture trend,making the utilization of high-quality fertilizers,abundant nutritional content,economical,and no affect to environment pollution.According to the new concept,clean agricultural production and organic agricultural products are not allowed to excessively use synthetic chemicals such as chemical fertilizers,and plant protection drugs,but priority is to use manure,organic fertilizers,and natural mineral fertilizers.Fertilizer must meet the balanced nutritional requirements of crops,maintain,and improve the fertility of the ground,protect the surrounding ecosystem,and leave harmful effects in agricultural products,products with high quality,safe for users and high economic efficiency for producers.To achieve the above goal,the selection of a fertilizer supplier is an important decision,supporting the supply chain’s sustainable development,fertilizer supplier selection is a multicriteria decision making model,the decision maker must assess all qualitative and quantitative factors.In this paper,the author proposed an integer decision making model including Fuzzy Analytic Hierarchy Process(FAHP)and Complex Proportional Assessment of Alternatives(COPRAS)for fertilizer supplier selection.The weightings of the criteria are calculated by using FAHP,COPRAS is then applied for ranking some potential fertilizer suppliers.The efficiency of the proposed models is proved by a case study conducted in a farm located in the south of Vietnam.This research is the first fertilizer supplier evaluation and se-lection model in Vietnam by interviewing experts and reviewing the literature.Re-search result is to provide a case study on evaluating supplier in agricultural supply chain utilizing the model proposed by the combination of FAHP and COPRAS models.展开更多
文摘Planning and scheduling is one of the most important activity in supply chain operation management.Over the years,there have been multiple researches regarding planning and scheduling which are applied to improve a variety of supply chains.This includes two commonly used methods which are mathematical programming models and heuristics algorithms.Flowshop manufacturing systems are seen normally in industrial environments but few have considered certain constraints such as transportation capacity and transportation time within their supply chain.A two-stage flowshop of a single processing machine and a batch processing machine are considered with their capacity and transportation time between twomachines.The objectives of this research are to build a suitable mathematical model capable of minimizing the maximum completion time,to propose a heuristic optimization algorithm to solve the problem,and to develop an applicable program of the heuristics algorithm.AMixed Integer Programming(MIP)model and a heuristics optimization algorithmwas developed and tested using a randomly generated data set for feasibility.The overall results and performance of each approach was compared between the two methods that would assist the decision maker in choosing a suitable solution for their manufacturing line.
文摘The finance supply chain has always been a different supply chain compared to product supply chain being a service supply chain.Open Banking(OB)is one of the most important milestones since the beginning of financial technology innovation and service supply chain.As these are activities provided by traditional banks,non-bank financial institutions also provide financial service with access to consumer banking,transactional and other financial data to develop financial applications and services tailored to their customers.The development of financial technology,“Open banking”,promotes financial services to begin this transformation.However,evaluating and selecting open banking business partners from multiple perspectives for banks are underexplored.Thus,the authors in this research proposed a hybrid multicriteria decision-making model which includes a Spherical Fuzzy Analytical Hierarchy Process(SF-AHP)model and a Multi-Attributive Ideal-Real Comparative Analysis(MAIRCA)model with supports from seasoned domain experts.The contribution of this research is a proposition of a fuzzy decision model for evaluating and selecting open banking business partners.The model successfully determined a suitable open bank provider in order to assist decision makers decide objectively.
文摘As global supply chains become more developed and complicated,supplier quality has become increasingly influential on the competitiveness of businesses during the Covid-19 pandemic.Consequently,supplier selection is an increasingly important process for any business around the globe.Choosing a supplier is a complex decision that can result in lower procurement costs and increased profits without increasing the cost or lowering the quality of the product.However,these decision-making problems can be complicated in caseswithmultiple potential suppliers.Vietnam’s textile and garment industry,for example,has made rapid progress in recent years but is still facing great difficulties as the supply of raw materials and machinery depends heavily on foreign countries.Therefore,it is extremely important for textile and garment manufacturing companies in Vietnam to implement an effective supplier evaluation and selection process.While multicriteria decision-making models are frequently employed to assist with supplier evaluation and selection problems,few of these models consider the problem under the condition of a fuzzy decision-making environment.The aim of this paper is to create a hybrid MCDM model using the Fuzzy Analytical Hierarchy Process(FAHP)model and the Technique for Order of Preference by Similarity to Ideal Solution(TOPSIS)to assist the supplier selection process in the garment industry in a fuzzy decision-making environment.In this study,the FAHP method is used to evaluate the performance and the weight of each criterion.TOPSIS is then used to rank all potential suppliers.The proposed model is then applied to a real-world case study to demonstrate both the process of calculation as well as its real-world applicability.The results from the case study provide empirical evidence that the model is feasible.The proposed approach can also be used in combination with other MCDM models to better support decision makers and can be modified to be applied in similar supplier selection processes for different industries.
文摘The 21st century is associated with the IndustrialRevolution 4.0 and the organic agriculture trend,making the utilization of high-quality fertilizers,abundant nutritional content,economical,and no affect to environment pollution.According to the new concept,clean agricultural production and organic agricultural products are not allowed to excessively use synthetic chemicals such as chemical fertilizers,and plant protection drugs,but priority is to use manure,organic fertilizers,and natural mineral fertilizers.Fertilizer must meet the balanced nutritional requirements of crops,maintain,and improve the fertility of the ground,protect the surrounding ecosystem,and leave harmful effects in agricultural products,products with high quality,safe for users and high economic efficiency for producers.To achieve the above goal,the selection of a fertilizer supplier is an important decision,supporting the supply chain’s sustainable development,fertilizer supplier selection is a multicriteria decision making model,the decision maker must assess all qualitative and quantitative factors.In this paper,the author proposed an integer decision making model including Fuzzy Analytic Hierarchy Process(FAHP)and Complex Proportional Assessment of Alternatives(COPRAS)for fertilizer supplier selection.The weightings of the criteria are calculated by using FAHP,COPRAS is then applied for ranking some potential fertilizer suppliers.The efficiency of the proposed models is proved by a case study conducted in a farm located in the south of Vietnam.This research is the first fertilizer supplier evaluation and se-lection model in Vietnam by interviewing experts and reviewing the literature.Re-search result is to provide a case study on evaluating supplier in agricultural supply chain utilizing the model proposed by the combination of FAHP and COPRAS models.
