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Multi-period Inventory Routing Problem under Carbon Emission Regulations
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Multi-period Inventory Routing Problem under Carbon Emission Regulations
Chun Cheng, Mingyao Qi, Xingyi Wang, Ying Zhang (2016)
ABSTRACT
-Analyzes the impact of carbon emission regulations on inventory routing problem (IRP)
-In every period, vehicles depart from depot to pickup products from supplier to meet the assembly plant's demand (deterministic & time-varying)
-Carbon emissions are generated by fuel consumption
-A series of mixed integer non-linear programming models are constructed & linearization methods are used
-A hybrid genetic algorithm (HGA) is proposed
-Numerical test are performed to show the effectiveness of the algorithm
Problem Description
-This paper focuses on Multi-period Inventory Routing Problem (MIRP) in an inbound product collection system consisting of an assembly plant, depot, and suppliers
-Each supplier offers distinctive product (all products are ready for collection)
-Demand is specific & deterministic
-Carbon emission regulations are imposed in each period
Objective
Determine when to visit the suppliers, corresponding quantities collected & the vehicle schedules such that the total cost of the supply chain is minimized
Formulation
Computation of fuel consumption (based on travel distance, truckload & speed):
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