A practical stochastic location-inventory-delivery problem with multi-item joint replenishment is studied.Unlike the conventional location-inventory model with a continuous-review(r,Q)inventory policy,the periodic-rev...A practical stochastic location-inventory-delivery problem with multi-item joint replenishment is studied.Unlike the conventional location-inventory model with a continuous-review(r,Q)inventory policy,the periodic-review inventory policy is adopted with multi-item joint replenishment under stochastic demand,and the coordinated delivery cost is considered.The proposed model considers the integrated optimization of strategic,tactical,and operational decisions by simultaneously determining(a)the number and location of distribution centers(DCs)to be opened,(b)the assignment of retailers to DCs,(c)the frequency and cycle interval of replenishment and delivery,and(d)the safety stock level for each item.An intelligent algorithm based on particle swarm optimization(PSO)and adaptive differential evolution(ADE)is proposed to address this complex problem.Numerical experiments verified the effectiveness of the proposed two-stage PSO-ADE algorithm.A sensitivity analysis is presented to reveal interesting insights that can guide managers in making reasonable decisions.展开更多
Once the disaster occurred, a huge amount of grain supply is needed from disaster area. Because of the short shelf life, grain is very strict with reserve environment and needed to rotate on a regular basis in the pro...Once the disaster occurred, a huge amount of grain supply is needed from disaster area. Because of the short shelf life, grain is very strict with reserve environment and needed to rotate on a regular basis in the process of reserves. Considering the limitations of existing related research, this paper presented a facility location model for grain emergency network that incorporates inventory factors and rotation mechanism, and then designed genetic algorithm based on Matlab to solve the model. Finally we verified the feasibility and effectiveness of the algorithm by computational examples and presented the directions for future work.展开更多
The grocery market, especially the perishable product market is under amazing developments in China, accounting for half of overall food expenditure. However, the supply chain of perishable products has encountered se...The grocery market, especially the perishable product market is under amazing developments in China, accounting for half of overall food expenditure. However, the supply chain of perishable products has encountered serious problems, including significant freight losses, high inventory and transportation costs, etc. To solve these problems, the current paper proposes an integrated approach for simultaneously optimizing the decisions involved in the supply chain, typically including location, inventory, and routing strategy. A three-echelon supply chain including suppliers, DCs and retailers is structured in this paper, with the impacts of whether allowing direct shipment from supplier to retailer being considered. Two typical problems are investigated: location-inventory problem (LIP) and location-inventory-routing problem (LIRP). Mixed integer nonlinear programming model for LIP is proposed while Mixed integer linear programming models for LIRP is proposed, with the objective of minimizing the overall costs of supply chain, which are composed of infrastructure construction costs, transportation costs, inventory costs, and freight losses. CPLEX is used for LIP model solution and a two-stage heuristic algorithm based on Simulated Annealing is designed to solve the LIRP model. The proposed mathematical models and solution method are then applied to a real supply chain network for fresh milk. The optimized results suggest that considering the direct shipment from supplier to retailer is beneficial in terms of reducing the overall supply chain costs by 31%, with 43% reductions in transportation costs, 69.4% reductions in freight losses, 99.4% increases in inventory costs. With the developments of e-retailers for perishable products, allowing the direct shipment from supplier to retailer will bring more benefits in the future.展开更多
Logistics is supposed to be the important source of profits for the enterprises besides reducing material consumption and improving labor productivity. Transportation costs, distribution center construction costs, ord...Logistics is supposed to be the important source of profits for the enterprises besides reducing material consumption and improving labor productivity. Transportation costs, distribution center construction costs, ordering costs, safe inventory costs and inventory holding costs are the important parts of the total logistics costs. In this paper, based on the research results of LMRP（ location model of risk pooling） location with fixed construction cost, the LMRPVCC （ location model of risk pooling based on variable construction cost） will be introduced. Applying particle swarm optimization to several computational instances, the authors find the suboptimum solution of the model.展开更多
基金partially supported by the National Social Science Foundation of China(Grant No.:20&ZD126).
文摘A practical stochastic location-inventory-delivery problem with multi-item joint replenishment is studied.Unlike the conventional location-inventory model with a continuous-review(r,Q)inventory policy,the periodic-review inventory policy is adopted with multi-item joint replenishment under stochastic demand,and the coordinated delivery cost is considered.The proposed model considers the integrated optimization of strategic,tactical,and operational decisions by simultaneously determining(a)the number and location of distribution centers(DCs)to be opened,(b)the assignment of retailers to DCs,(c)the frequency and cycle interval of replenishment and delivery,and(d)the safety stock level for each item.An intelligent algorithm based on particle swarm optimization(PSO)and adaptive differential evolution(ADE)is proposed to address this complex problem.Numerical experiments verified the effectiveness of the proposed two-stage PSO-ADE algorithm.A sensitivity analysis is presented to reveal interesting insights that can guide managers in making reasonable decisions.
文摘Once the disaster occurred, a huge amount of grain supply is needed from disaster area. Because of the short shelf life, grain is very strict with reserve environment and needed to rotate on a regular basis in the process of reserves. Considering the limitations of existing related research, this paper presented a facility location model for grain emergency network that incorporates inventory factors and rotation mechanism, and then designed genetic algorithm based on Matlab to solve the model. Finally we verified the feasibility and effectiveness of the algorithm by computational examples and presented the directions for future work.
文摘The grocery market, especially the perishable product market is under amazing developments in China, accounting for half of overall food expenditure. However, the supply chain of perishable products has encountered serious problems, including significant freight losses, high inventory and transportation costs, etc. To solve these problems, the current paper proposes an integrated approach for simultaneously optimizing the decisions involved in the supply chain, typically including location, inventory, and routing strategy. A three-echelon supply chain including suppliers, DCs and retailers is structured in this paper, with the impacts of whether allowing direct shipment from supplier to retailer being considered. Two typical problems are investigated: location-inventory problem (LIP) and location-inventory-routing problem (LIRP). Mixed integer nonlinear programming model for LIP is proposed while Mixed integer linear programming models for LIRP is proposed, with the objective of minimizing the overall costs of supply chain, which are composed of infrastructure construction costs, transportation costs, inventory costs, and freight losses. CPLEX is used for LIP model solution and a two-stage heuristic algorithm based on Simulated Annealing is designed to solve the LIRP model. The proposed mathematical models and solution method are then applied to a real supply chain network for fresh milk. The optimized results suggest that considering the direct shipment from supplier to retailer is beneficial in terms of reducing the overall supply chain costs by 31%, with 43% reductions in transportation costs, 69.4% reductions in freight losses, 99.4% increases in inventory costs. With the developments of e-retailers for perishable products, allowing the direct shipment from supplier to retailer will bring more benefits in the future.
基金supported by the National Planning Office of Philos-ophy and Social Sciences under Grant No. 07XJY015Shaanxi Provincial Department of Education under Grant No.06JK056
文摘Logistics is supposed to be the important source of profits for the enterprises besides reducing material consumption and improving labor productivity. Transportation costs, distribution center construction costs, ordering costs, safe inventory costs and inventory holding costs are the important parts of the total logistics costs. In this paper, based on the research results of LMRP（ location model of risk pooling） location with fixed construction cost, the LMRPVCC （ location model of risk pooling based on variable construction cost） will be introduced. Applying particle swarm optimization to several computational instances, the authors find the suboptimum solution of the model.
