Raw data of sedimentary chloropigments and total organic carbon contents sampled from the China seas along the east continental shelf of China

Raw data of sedimentary chloropigments and total organic carbon contents sampled from the China seas along the east continental shelf of Chin

Performance of operators (%IBest/%Usage).

This paper considers the problem that a depot replenishes several shelters by aerial and land transportation modes for disaster relief. There are two distinguishing features of our problem: one is routing decisions determine replenishment lead times; the other is that we introduce dual sourcing policy into the inventory routing problem. A robust optimization model is proposed to determine the optimal replenishment quantity, replenishment mode, and transportation routes. Then, we decompose the problem into a routing master-problem and a set of inventory sub-problems. A tractable closed-form solution for sub-problem is derived. We further develop an adaptive large neighborhood search algorithm to solve the problem. To demonstrate the feasibility of the algorithm, we conduct a series of numerical experiments on the benchmark test suite with different scales and compare the performance of the proposed algorithm with a genetic algorithm.</div

Logistic cost gaps between routing with/without considering inventory cost.

Logistic cost gaps between routing with/without considering inventory cost.</p

Illustration of the dual sourcing inventory routing problem.

Illustration of the dual sourcing inventory routing problem.</p

Logistic cost on instance B-n78 with different removal rate and reaction factor.

Logistic cost on instance B-n78 with different removal rate and reaction factor.</p

Weight of removal/insertion operators in 3000 iterations on instance A-n32.

Weight of removal/insertion operators in 3000 iterations on instance A-n32.</p

Logistic cost on instance A-n32 with different removal rate and reaction factor.

Logistic cost on instance A-n32 with different removal rate and reaction factor.</p

An illustration of the ALNS algorithm.

This paper considers the problem that a depot replenishes several shelters by aerial and land transportation modes for disaster relief. There are two distinguishing features of our problem: one is routing decisions determine replenishment lead times; the other is that we introduce dual sourcing policy into the inventory routing problem. A robust optimization model is proposed to determine the optimal replenishment quantity, replenishment mode, and transportation routes. Then, we decompose the problem into a routing master-problem and a set of inventory sub-problems. A tractable closed-form solution for sub-problem is derived. We further develop an adaptive large neighborhood search algorithm to solve the problem. To demonstrate the feasibility of the algorithm, we conduct a series of numerical experiments on the benchmark test suite with different scales and compare the performance of the proposed algorithm with a genetic algorithm.</div

Logistic cost gaps between dual-sourcing and single replenishment modes.

Logistic cost gaps between dual-sourcing and single replenishment modes.</p

Logistic cost and replenishment quantity gaps between budget and box uncertainty sets.

Logistic cost and replenishment quantity gaps between budget and box uncertainty sets.</p