Optimization of green hybrid flow shop scheduling problem with considering batch delivery system

With the increasing competition between manufacturers to respond to customers' requirements, the production planning processes in the form of supply chains has become more complex. On the one hand, manufacturers have to produce at the lowest cost in order to create a competitive advantage. On the other hand, environmental requirements and attention to sustainable production have caused more attention to energy consumption in production systems. In this research, for the first time, the green hybrid flow shop scheduling problem is investigated with considering batch delivery system. For this purpose, a bi-objective integer linear programming model is presented. The first goal of the problem is to minimize the total cost related to the total jobs completion times and the costs of dispatching the batches. The second goal is to minimize energy consumption. The mathematical model is converted to a single objective model using Ɛ-constraint method and a number of random instances are evaluated and comprehensively analyzed with its help, and the effect of paying attention to energy consumption on the scheduling of orders is presented. Also, due to the NP-hardness of the problem, an MOTLBO algorithm has been adopted to solve large size instances.