The energy crisis has become an environmental problem, and this received much attention from researchers. manufacturing sector is the most significant contributor to consumption in world. One of efforts made industry reduce through proper scheduling. Energy-efficient scheduling (EES) a problem consumption. EES problems flow shop (FSSP). This article intends develop new approach solving FSSP pro...

This paper presents a new hybrid algorithm that combines genetic algorithms (GAs) and the optimizing spotted hyena (SHOA) to solve production shop scheduling problem. The proposed GA-SHOA incorporates operators, such as uniform crossover mutation, into SHOA improve its performance. We evaluated on set of OR library instances compared it other state-of-the-art optimization algorithms, including ...

Smart manufacturing in the “Industry 4.0” strategy promotes deep integration of and information technologies, which makes system a ubiquitous environment. However, real-time scheduling such is challenge faced by many decision makers. To deal with this challenge, study focuses on hybrid flow shop problem (HFSP). First, characteristic smart environment analyzed, its described. Secon...

A hybrid genetic algorithm (HGA) approach is proposed for a lot-streaming flow shop scheduling problem, in which a job (lot) is split into a number of smaller sublots so that successive operations can be overlapped. The objective is the minimization of the mean weighted absolute deviation of job completion t imes from due dates.

In the last decade job shop scheduling problems have been subject to intensive research due to their multiple applications. Job shop scheduling is known as a strongly NPcomplete problem. In the job shop scheduling problems, processing times and due dates are very dynamically due to both human and machine resource factors. Fuzzy sets are used to model the uncertain processing times and due dates...

In this paper we address a scheduling problem taken from a label sticker manufacturing company. The production system is a two-stage hybrid flow shop with the characteristics of sequence-dependent setup time at stage 1, dedicated machines at stage 2, and two due dates. The objective is to schedule one day’s mix of label stickers through the shop such that the weighted maximal tardiness is minim...

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In this paper, mathematical models for permutation flow shop scheduling and job shop scheduling problems are proposed. The first problem is based on a mixed integer programming model. As the problem is NP-complete, this model can only be used for smaller instances where an optimal solution can be computed. For large instances, another model is proposed which is suitable for solving the problem ...

This paper is the first to consider the hybrid quantum-inspired evolutionary algorithm (HQEA) on the no-wait permutation flow shop scheduling problem (PFSP) for minimizing the makespan. In this HQEA, the quantum chromosomes are encoded by using the quantum rotating angle and a simple but efficient converting mechanism for determining job sequence is proposed for the representation of solution f...