The inability of small companies to compete with large production systems has led to the sharing resources in cloud production systems among smaller companies to compensate for their production deficiencies. This study proposes a multi-objective, multi-level cloud production system by minimizing...

Background: The literature on measuring the complexity of production systems employs the graph and information theory. This study analyzes these systems and their coordination under varying states of control, with a focus on the probability of unfavorable events and their temporal...

Digital education, including digitally supported education, is loaded with biases. Most participants are blinded by the abundance of digital devices and misled by the hardware and software providers who try to convince and force education systems to keep track of untraceable developments....

Background: Remanufacturing products for sustainability involves layout and production planning, tools and equipment, material arrangement and handling, inventory management, technology integration, and more. This study presents an empirical vision through a discrete event simulation (DES) model...

The interest in clusters in the economy and regional space, which has persisted for nearly three decades, has reignited the understanding of the economy as a system of interdependencies between industries. Although the concept of clusters can be traced back to contributions dating from the early...

"The manufacturing industry is facing massive changes driven by digitalization and sustainability. It is being redefined to meet UN SDGs with the creation of new materials, processes and machinery. The drive for digitalization in order to use resources more effectively and efficiently adds to...

Purpose: The purpose of this paper is to propose an opportunistic group maintenance model for a multi-component series system considering reducing CO2 emission and increasing system efficiency, which establishes a maintenance policy to minimize the cost rate of the system life cycle....

Production systems influence cost performance and carbon emissions. Environmental concerns compel companies to optimize energy efficiency in their production processes. This study explores the dilemma associated with fixed-time and fixed-lot systems during random disruptions and how these...

Background: The capacity planning of production systems is one of the most fundamental strategic problems in the creation of a production plant. However, the implementation of increasingly complex production systems combined with sophisticated automated material handling justifies the...

Historically, Operations Research (OR) discipline has mainly been focusing on economic concerns. Since the early 2000s, human considerations are gaining increasing attention, pushed by the growing societal concerns of sustainable development on the same terms as the economic and ecological ones....

Historically, Operations Research (OR) discipline has mainly been focusing on economic concerns. Since the early 2000s, human considerations are gaining increasing attention, pushed by the growing societal concerns of sustainable development on the same terms as the economic and ecological ones....

Burgeoning ecological crises of food production sector has made the environmental impact evaluation of various food products a sustainability imperative. Specifically, in pursuit of identifying a sustainable production model of high-demand food items, implementing a comparative life cycle...

Low-input production systems aim at mitigating agriculture's environmental impact with a lower level of chemical inputs. However, comparing the performance of low-input systems to conventional ones, particularly in terms of productivity and yield, is challenging due to selection bias. First, we...

This paper investigates the production scheduling problems of allocating resources and sequencing jobs in the seru production system (SPS). As a new-type manufacturing mode arising from Japanese production practices, seru production can achieve efficiency, flexibility, and responsiveness...

Background: Optimization approaches and a models can be applied for critical production systems that experience equipment failure, repair delays and product quality control in order to maximize the total profit. We can cite, as an example, flexible manufacturing systems. Methods: Our methodology...

In today's volatile business environment, manufacturers often face the challenge of making sales and production decisions despite unstable market demand. Companies must strategically determine which customer orders to fulfill or which products to stock under limited resources. This study...

Digital transformation is driving the current technological trends in manufacturing. An integral constituent is a communication between machines, between machines and humans, or between machines and products. This extensive communication involves large volumes of data. Many manufacturers apply...

Digital transformation is driving the current technological trends in manufacturing. An integral constituent is a communication between machines, between machines and humans, or between machines and products. This extensive communication involves large volumes of data. Many manufacturers apply...

More than ten years after the introduction of the concept of Industry 4.0, tremendous efficiency and resilience capabilities remain unharnessed. The human perspective in particular has been detached from development in smart production systems. The European Commission therefore introduced its...

The industrial Internet of Things (IoT) has been gaining significant momentum and is considered a promising technology for establishing a foundation for energy and carbon management in the manufacturing sector. Existing management studies commonly assume the availability of IoT data for all...

In this paper, we investigate under what market conditions regarding delivery lead time and due date reliability, the use of flexibility in daily working time in a job shop, can be beneficial. We use a working time decision rule that sets the working time for the next day equal to the value that...

In this paper, a stable matching method is proposed to solve the many-to-one two-sided matching problem of multi-skilled workers and operation units (i.e., rotating serus or assembly line processes) in the hybrid rotating seru production system (HRSPS). Firstly, the problem of many-to-one...

This paper proposes a joint optimization approach for the production decisionmaking and inventory allocation in a fault-prone machine supply chain system, considering production and supply uncertainty as well as the impact of machine failure. A model based on Markov decision theory is presented...

Worker assignment problems are encountered in many production systems and are known to greatly influence system performances. We focus on dynamic problems where the system is characterized by unexpected and fluctuated demands and random times. Workers are multiskilled and must be assigned to...