The present paper focuses an optimal policy of an inventory model for deteriorating items with generalized demand rate and deterioration rate. Shortages are allowed and partially backlogged. The salvage value is inclu...The present paper focuses an optimal policy of an inventory model for deteriorating items with generalized demand rate and deterioration rate. Shortages are allowed and partially backlogged. The salvage value is included into deteriorated units. The main objective of the model is to minimize the total cost by optimizing the value of the shortage point, cycle length and order quantity. A numerical example is carried out to illustrate the model and sensitivity analyses of major parameters are discussed.展开更多
The main purpose of this paper is to develop an inventory model under fuzzy approach by considering the effect of inflation and time value of money, to determine the optimal time period for inventory cycle and minimum...The main purpose of this paper is to develop an inventory model under fuzzy approach by considering the effect of inflation and time value of money, to determine the optimal time period for inventory cycle and minimum total average costs. The model is integrated production inventory model developed where;the Demand has a direct linear impact on production rate. The model can be divided into four stages. In the first two stages with original production rate and subsequent change in production rate, inventory level rises. Third stage is time after the accumulation of inventory and before the deterioration starts, where demand which selling price dependent is depreciating the inventory level, while in the fourth stage deterioration occurs, which is considered to follow two parameter Weibull distribution. The back-order is not considered. Hexagonal fuzzy numbers are used to derive optimum solution and defuzzification by graded mean integration representation method. A numerical example is given to demonstrate the applicability of the purposed model and sensitivity analysis is carried out to reveal the impact of change in parameter values.展开更多
In India,majority of the families depend upon agricultural business.Also,40%of agricultural food and vegetables are rotted due to improper planning.It is predicted in 2023 that US$293.27 billions will be wastage of fo...In India,majority of the families depend upon agricultural business.Also,40%of agricultural food and vegetables are rotted due to improper planning.It is predicted in 2023 that US$293.27 billions will be wastage of food.That’s why,the cost of these items are high in the retail market and farmers get least price for their produce.It is essential to avoid the loss by adopting cold supply chain and its impact will help to increase the GDP of country.Here,we proposed the supply chain model which includes one warehouse and multi-retailers.Cold storage facility is available at warehouse,transport facility and retailers.To support the proposed model,we have collected the numerical data of coriander(highly perishable)product from the market yard,Pune,India.The proposed model solved by using real world numerical case study.The life of this product is very less hence it needs to develop a cold supply chain for this item.Also,we solved multiple inventory differential equations by using boundary value problem.To solve the proposed models for single retailer and multiple retailers,we have developed a solution methodology based on evolutionary algorithm.We have observed that,optimum profit is highly sensitive to the warehouse demand and purchase cost.Hence it is essential to reduce the deteriorated items at storage point.The warehouse,retailer and customer demand significantly affect on the deteriorated items.In single and multiple retailer,for low warehouse and retailer demand,we get maximum profit.Thus,less number of deteriorated items of the supply chain will helps to the society,as well as country to increase the profit of the supply chain.展开更多
文摘The present paper focuses an optimal policy of an inventory model for deteriorating items with generalized demand rate and deterioration rate. Shortages are allowed and partially backlogged. The salvage value is included into deteriorated units. The main objective of the model is to minimize the total cost by optimizing the value of the shortage point, cycle length and order quantity. A numerical example is carried out to illustrate the model and sensitivity analyses of major parameters are discussed.
文摘The main purpose of this paper is to develop an inventory model under fuzzy approach by considering the effect of inflation and time value of money, to determine the optimal time period for inventory cycle and minimum total average costs. The model is integrated production inventory model developed where;the Demand has a direct linear impact on production rate. The model can be divided into four stages. In the first two stages with original production rate and subsequent change in production rate, inventory level rises. Third stage is time after the accumulation of inventory and before the deterioration starts, where demand which selling price dependent is depreciating the inventory level, while in the fourth stage deterioration occurs, which is considered to follow two parameter Weibull distribution. The back-order is not considered. Hexagonal fuzzy numbers are used to derive optimum solution and defuzzification by graded mean integration representation method. A numerical example is given to demonstrate the applicability of the purposed model and sensitivity analysis is carried out to reveal the impact of change in parameter values.
基金the editor and anonymous referees for their concrete suggestions to improve the manuscript substantially.Also,authors are grateful for providing financial support to DST SERB with CRG/2023/005951/MS.
文摘In India,majority of the families depend upon agricultural business.Also,40%of agricultural food and vegetables are rotted due to improper planning.It is predicted in 2023 that US$293.27 billions will be wastage of food.That’s why,the cost of these items are high in the retail market and farmers get least price for their produce.It is essential to avoid the loss by adopting cold supply chain and its impact will help to increase the GDP of country.Here,we proposed the supply chain model which includes one warehouse and multi-retailers.Cold storage facility is available at warehouse,transport facility and retailers.To support the proposed model,we have collected the numerical data of coriander(highly perishable)product from the market yard,Pune,India.The proposed model solved by using real world numerical case study.The life of this product is very less hence it needs to develop a cold supply chain for this item.Also,we solved multiple inventory differential equations by using boundary value problem.To solve the proposed models for single retailer and multiple retailers,we have developed a solution methodology based on evolutionary algorithm.We have observed that,optimum profit is highly sensitive to the warehouse demand and purchase cost.Hence it is essential to reduce the deteriorated items at storage point.The warehouse,retailer and customer demand significantly affect on the deteriorated items.In single and multiple retailer,for low warehouse and retailer demand,we get maximum profit.Thus,less number of deteriorated items of the supply chain will helps to the society,as well as country to increase the profit of the supply chain.
