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Supply chain optimization models typically assume that facilities never fail. However, in the real world cases facilities are always subject to disruptions of various sorts due to natural disasters, strikes, machine breakdowns, power outages, and other factors. This paper investigates an integrated supply chain optimization problem that optimizes facility locations, customer allocations, and inventory...
In so many combinatorial optimization problems, Job shop scheduling problems have earned a reputation for being difficult to solve. Genetic algorithm has demonstrated considerable success in providing efficient solutions to many non-polynomial-hard optimization problems. In the field of job shop scheduling, genetic algorithm has been intensively researched, and there are nine kinds of methods were...
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