Abstract The Job Shop Scheduling Problem (JSSP) has been widely studied in recent
decades. Various approaches have been proposed to support scheduling decisions …

The manufacturing industry directly reflects the productivity level of a country and plays an
important role in economic and social development. However, with the development of the …

This study is investigated on multi-objective distributed green flexible job shop scheduling
problem with type-2 fuzzy processing time. Minimizing makespan and total energy …

With the enormous increase in energy usage by cloud data centers for handling various
workflow applications, the energy-aware cloud workflow scheduling has become a hot …

Inthis study, a flexible job shop scheduling problem with time-of-use electricity price
constraint is considered. The problem includes machine processing speed, setup time, idle …

As regards distributed hybrid flow shop scheduling with sequence-dependent setup times
(DHFSP-SDST), three novel mixed-integer linear programming (MILP) models and a …

Nowadays, an efficient and robust plan for maintenance activities can reduce the total cost
significantly in the equipment-driven industry. Maintenance activities are directly associated …

With the guidance of the advanced manufacturing philosophy, green scheduling and energy
efficiency have received considerable attention from enterprises and countries. Meanwhile …

Energy-aware distributed heterogeneous flexible job shop scheduling (DHFJS) problem is
an extension of the traditional FJS, which is harder to solve. This work aims to minimize total …

In this study, we propose an efficient optimization algorithm that is a hybrid of the iterated
greedy and simulated annealing algorithms (hereinafter, referred to as IGSA) to solve the …