This paper presents an integrated inventory model that examines imperfect production processes in the context of intuitionistic fuzzy demand.Defective products identified during the inspection process undergo rework b...This paper presents an integrated inventory model that examines imperfect production processes in the context of intuitionistic fuzzy demand.Defective products identified during the inspection process undergo rework before being released for sale.The dynamic production system allows for adaptability to the environment,with the production cost tied to the variability in production rates.Acknowledging the substantial carbon dioxide emissions from industries and transportation,the manufacturer aligns item production with carbon emission levels and incurs a corresponding carbon emission tax.Market demand for the item is represented as a triangular intuitionistic fuzzy number due to inherent uncertainty.The primary objective of this study is to minimize the integrated cost function of the proposed model through multivariable calculus.Numerical experiments are conducted to assess the model’s performance,and sensitivity analysis is employed to validate the effectiveness of the optimal parameters.展开更多
In this article,the three-echelon supply chain model is developed with a single supplier,a single vendor and a single buyer in a fuzzy environment.The threestage inspection technique is considered at the end of the ve...In this article,the three-echelon supply chain model is developed with a single supplier,a single vendor and a single buyer in a fuzzy environment.The threestage inspection technique is considered at the end of the vendor’s process to supply high-quality products to the buyer.Moreover,the demand rate of the product in the market is often assumed to be uncertain,and accordingly,in this paper,the uncertainty is handled using fuzzy numbers.The primary goal of this model is to minimize the overall inventory cost relative to the asymmetry hexagonal fuzzy demand.Additionally,a backorder strategy is incorporated to gain customer satisfaction and reduce lost sales.To validate this model,numerical examples are tested and constrained non-linear optimization(i.e.fmincon solver)is performed to derive the optimal solution for the decision variables.Finally,conclusions with potential future directions are provided.展开更多
This article considers the two-level supply chain model incorporating an imperfect production process under a variable lead time.The cost of producing a unit item is calculated as a function of the production rate.In ...This article considers the two-level supply chain model incorporating an imperfect production process under a variable lead time.The cost of producing a unit item is calculated as a function of the production rate.In addition,two alternative production functions(linear and quadratic functions)are used to relate process quality and production rate.Lead time demand follows two different distributions,based on which two mathematical formulations are described in this paper.In the first model,the lead time demand follows a normal distribution.In the second model,the lead time demand doesn’t follow any particular distribution,but the mean and the standard deviation are known.The lead time length is minimized by incorporating the lead time crashing cost.This research aims to analyze the optimized total cost of the supply chain under two different distributions.展开更多
文摘This paper presents an integrated inventory model that examines imperfect production processes in the context of intuitionistic fuzzy demand.Defective products identified during the inspection process undergo rework before being released for sale.The dynamic production system allows for adaptability to the environment,with the production cost tied to the variability in production rates.Acknowledging the substantial carbon dioxide emissions from industries and transportation,the manufacturer aligns item production with carbon emission levels and incurs a corresponding carbon emission tax.Market demand for the item is represented as a triangular intuitionistic fuzzy number due to inherent uncertainty.The primary objective of this study is to minimize the integrated cost function of the proposed model through multivariable calculus.Numerical experiments are conducted to assess the model’s performance,and sensitivity analysis is employed to validate the effectiveness of the optimal parameters.
文摘In this article,the three-echelon supply chain model is developed with a single supplier,a single vendor and a single buyer in a fuzzy environment.The threestage inspection technique is considered at the end of the vendor’s process to supply high-quality products to the buyer.Moreover,the demand rate of the product in the market is often assumed to be uncertain,and accordingly,in this paper,the uncertainty is handled using fuzzy numbers.The primary goal of this model is to minimize the overall inventory cost relative to the asymmetry hexagonal fuzzy demand.Additionally,a backorder strategy is incorporated to gain customer satisfaction and reduce lost sales.To validate this model,numerical examples are tested and constrained non-linear optimization(i.e.fmincon solver)is performed to derive the optimal solution for the decision variables.Finally,conclusions with potential future directions are provided.
文摘This article considers the two-level supply chain model incorporating an imperfect production process under a variable lead time.The cost of producing a unit item is calculated as a function of the production rate.In addition,two alternative production functions(linear and quadratic functions)are used to relate process quality and production rate.Lead time demand follows two different distributions,based on which two mathematical formulations are described in this paper.In the first model,the lead time demand follows a normal distribution.In the second model,the lead time demand doesn’t follow any particular distribution,but the mean and the standard deviation are known.The lead time length is minimized by incorporating the lead time crashing cost.This research aims to analyze the optimized total cost of the supply chain under two different distributions.
