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...

In this research, a hybrid approach by combining Self-Organizing Map (SOM) and Evolving Fuzzy Case-Based Reasoning (EFCBR) for flow time prediction is proposed. Genetic Algorithms (GAs) is applied to fine-tune the fuzzy term numbers and weights of fuzzy features in the CBR model. The flow time and related shop floor status are collected and fed into the SOM for classification. Then, correspondi...

Flexible flow shop scheduling problem (also called blended flow shop scheduling problem) is a sort of complex Job Shop Scheduling problem. For the Flexible Flow Shop scheduling problem, only in very special cases, there are polynomial optimal algorithms. In most of the other cases, the problems are NP-Hard. It is a simplification of the original problem to solve Flexible flow shop scheduling wi...

Bio-Inspired computing is the subset of Nature-Inspired computing. Job Shop Scheduling Problem is categorized under popular scheduling problems. In this research work, Bacterial Foraging Optimization was hybridized with Ant Colony Optimization and a new technique Hybrid Bacterial Foraging Optimization for solving Job Shop Scheduling Problem was proposed. The optimal solutions obtained by propos...

This paper focuses on a hub reentrant shop scheduling problem which is motivated by actual packing production line in the iron and steel industry. There are five operations for processing a job where three operations must be processed on a hub machine, and between any two consecutive operations on the hub machine, two operations must be processed on other two secondary machines, respectively. W...

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...