Related Experiment Video
Updated: Aug 6, 2026
11:05
Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes
Published on: December 13, 2016
Service-oriented cloud manufacturing systems: Balancing profit, customer satisfaction, and resource fairness
Asra Moslemipour1, Ali Salmasnia1, Hadi Mokhtari2
1Department of Industrial Engineering, Faculty of Engineering, University of Qom, Qom, Iran.
Plos One
|July 23, 2026
Summary
This study integrates cloud manufacturing decisions like scheduling, logistics, pricing, and quality to boost profit and customer satisfaction. It introduces a model that balances these factors, ensuring fairness for all customers.
Area of Science:
- Operations Research
- Manufacturing Systems Engineering
- Supply Chain Management
Background:
- Cloud manufacturing systems face complex, interrelated decisions in scheduling, logistics, pricing, and quality.
- Existing research often addresses these decisions in isolation, neglecting customer satisfaction and fairness.
- Growing demand for customization and distributed resources necessitates integrated decision-making frameworks.
Purpose of the Study:
- To develop a multi-objective model integrating scheduling, logistics, pricing, and quality decisions in cloud manufacturing.
- To explicitly incorporate customer satisfaction and fairness as key objectives alongside system profit.
- To provide a holistic approach for optimizing cloud manufacturing operations.
Main Methods:
- Formulation of a multi-objective mixed-integer programming model.
- Integration of profit maximization, customer satisfaction maximization, and unfairness minimization objectives.
- Utilization of an LP-metric approach for objective aggregation and CPLEX solver for exact solutions.
- Development of a Genetic Algorithm heuristic for large-scale problem instances.
Main Results:
- The integrated model effectively optimizes profit, customer satisfaction, and fairness simultaneously.
- Ignoring logistics, customer satisfaction, or earliness/tardiness penalties leads to suboptimal outcomes.
- The Genetic Algorithm provides high-quality solutions with reduced computational time for large-scale problems.
- Demonstrated effectiveness and scalability of the proposed framework through computational experiments.
Conclusions:
- Integrated decision-making is crucial for enhancing cloud manufacturing system performance.
- Considering customer satisfaction and fairness alongside profit leads to superior and more equitable outcomes.
- The proposed framework offers a robust and scalable solution for complex cloud manufacturing environments.
Related Concept Videos
01:30Health Information Technology and Healthcare Information System
Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
01:01Production Efficiency
Net production efficiency (NPE) is the efficiency at which organisms assimilate energy into biomass for the next trophic level. Due to low metabolic rates and less energy spent on thermoregulatory processes, the NPE of ectotherms (cold-blooded animals) is 10 times higher than endotherms (warm-blooded animals).
01:26Steel Manufacturing
Steel manufacturing is a multi-stage process that begins by smelting iron ore into cast iron in a blast furnace. This initial stage involves layering iron ore with coke, a type of fuel, and crushed limestone within the furnace. The coke is ignited with a high volume of air, leading to the creation of carbon monoxide, which acts to reduce the iron ore to pure iron.
During this smelting process, limestone plays a crucial role by forming slag. Slag captures impurities within the molten iron, such...
During this smelting process, limestone plays a crucial role by forming slag. Slag captures impurities within the molten iron, such...
01:29Bioreactor Design and Operational System
Bioreactors are engineered vessels designed to cultivate microorganisms under controlled conditions for industrial bioprocessing. They maintain sterility and allow precise regulation of pH, temperature, oxygen, and nutrient levels to optimize microbial growth and metabolite production. Bioreactors range from small laboratory units of 1 liter to industrial systems holding up to 500,000 liters, though only about 75% of their volume is actively used for fermentation. The remaining headspace...
01:10Control Systems
Control systems are everywhere in contemporary society, influencing diverse applications from aerospace to automated manufacturing. These systems can be found naturally within biological processes, such as blood sugar regulation and heart rate adjustment in response to stress, as well as in man-made systems like elevators and automated vehicles. A control system is essentially a network of subsystems and processes that collaboratively convert specific inputs into desired outputs.
At the heart...
At the heart...
01:26Equity Theory
Equity theory explains how our sense of fairness influences the dynamics of close relationships. Rooted in social psychology, the theory posits that individuals evaluate fairness by comparing the ratio of their contributions to the rewards they receive. Relationship satisfaction is highest when these ratios are perceived as balanced between partners, promoting mutual reciprocity and a sense of justice.Equity vs. Equality in RelationshipsEquity is distinct from equality. Fairness does not...