The flexible job shop scheduling problem (FJSSP) is a complex optimization challenge that plays a crucial role in enhancing productivity and efficiency in modern manufacturing systems, aimed at optimizing the allocation of jobs to a variable set of machines. This paper introduces an algorithm to...

Purpose: This paper investigates a batch scheduling problem where pre-processing is required for parts before processing, considering time-changing effects from part deterioration and operator learning-forgetting. Design/methodology/approach: A mathematical model was developed with the decision...

Purpose: Cloud manufacturing (CM) represents a new manufacturing paradigm that integrates distributed resources to provide on-demand services. The high consumer demand from various locations, coupled with the customizability and complexity of manufacturing, complicates task scheduling. In this...

Continuous product individualization and customization led to the advent of lot size one in production and ultimately to product-inherent uniqueness. As complexities in individualization and processes grow, production systems need to adapt to unique, product-inherent constraints by advancing...

Manufacturing systems are undergoing systematic change facing the trade-off between the customer's needs and the economic and ecological pressure. Especially assembly systems must be more flexible due to many product generations or unpredictable material and demand fluctuations. As a solution...

In recent years, effective monitoring of categorical and count data has increasingly attracted attention of researchers in thearea of statistical process control. However, most of the existing research model categorical and count data streams as independentand identically distributed data or...

Batch processing is a common production approach used in a number of industries. In this work, we consider modeling approaches for performanceevaluation of system with batch processing and sequence-dependent setup times (between each job) on a single machine with Poisson arrivals....

Harmony search algorithm (HS) cannot always avoid being trapped in local optima, and several local search algorithms have recently been used to overcome this limitation by searching the neighborhood of some solution for improved ones. However, how local search affects the performance of HS has...

The smart workshop is a powerful tool for manufacturing companies to reduce waste and improve production efficiency through real-time data analysis for self-organized production. Automated Guided Vehicles (AGVs) have been widely used for material handling in smart workshop due to their high...

The introduction of Cyber-Physical Systems, the implementation of machine learning, and the proposal of other technologies are some of the main features of Industry 4.0, which aims to change the way of production by introducing more flexibility and more autonomous decision-making by machines....

The flexible job-shop scheduling problem (FJSP) is a typical mixed-integer linear programming problem, which plays an important role in operation research. A variable neighborhood search (VNS) enhance genetic algorithm (VNSeGA) is presented to minimize makespan of FJSP in this paper. In VNSeGA,...

A manufacturing company's production-related decision-making is to a large extent characterized by machine scheduling and support device operations management. All these industrial equipment types consume energy, often in the form of electricity. This electricity is more and more provided by...

When dynamic production capacity is considered in production lot-sizing plans, it becomes very challenging to efficiently determine the optimal production plan. Many papers apply “at most one fractional production period” to develop efficient algorithms, but those algorithms are still...

There is a lack of research on flexible job shop scheduling problem (FJSP) considering limited fixture-pallet resources in multi-product mixed manufacturing workshop. However, field research in a leading engine manufacturer in China has revealed that fixture-pallet resources are a key factor...

Harmony search algorithm (HS) cannot always avoid being trapped in local optima, and several local search algorithms have recently been used to overcome this limitation by searching the neighborhood of some solution for improved ones. However, how local search affects the performance of HS has...

We consider a joint control of pricing and production in a two-item inventory system, where each item can be produced by its dedicated source or a shared flexible source, under the lost-sales setting. The demands of the two items are correlated. Due to the complexity caused by the lost-sales...

The Holt and Laury (2002) task is arguably the most widely employed method for eliciting individual risk attitudes in economics. However, although around 15% of standard experimental subjects fail to complete the task consistently, this fraction increases to an alarming 60-70% in the case of...

In stochastic lot sizing subject to dynamic and random demand, the minimization of operational costs is not the only conceivable objective. Minimizing the tardiness in customer demand satisfaction is no less important. Furthermore, the decision maker is interested in production plan stability....