Abstract
Under the background of intelligent manufacturing, this paper aims to develop a model for person–job safe matching that optimizes safety with consideration of major equipment operator competency and task complexity. Safe matching cost is minimized in the developed model and is measured by the equipment downtime, production defect rate, and operator labor costs oriented by human factors. Human reliability is calculated with the goal of best value individual competency and best admit task complexity with a hierarchical structure. The 0-1 integer programming person–job matching model minimizes the human factor safety and wage costs and satisfies the requirements of the production order, budget and operator quantity requirement. An improved genetic algorithm is designed to solve the model. The computational results of the proposed model based on a case study for a large iron and steel company evidently demonstrated its effectiveness. A new integrated model provides more realistic matches for person–job assignment.
Highlights
Major equipment mainly refers to intelligent manufacturing equipment for the aerospace, petroleum and petrochemical, nuclear power generation, steel metallurgy and other industries; and it is an important forces to lead the future social and economic development
The increasing large-sized integration and intellectualization of major equipment poses unprecedented challenges to safe person–job matching. Such challenges are due to the complexity of different tasks and the psychological and behavioral competencies of different people, by which poor person–job assignment solutions can lead to the waste of human factors, the loss from human-caused downtime and the increased cost of labor wages
To solve the safety matching problem, human reliability with a consideration of operator competency and task complexity is introduced into the 0–1 assignment optimization model
Summary
Major equipment mainly refers to intelligent manufacturing equipment for the aerospace, petroleum and petrochemical, nuclear power generation, steel metallurgy and other industries; and it is an important forces to lead the future social and economic development. The safe, reliable and cost saving operating of major equipment plays a significant role in survival in the new era of intelligent manufacturing. As new technologies start to pervade all areas of major equipment operation, major equipment operation has a higher and higher requirement for safety, reliability and money saving. In the new digital, networked and intelligent production environment, human operators face complex task environments in which the process and demand fluctuations are not well understood, failures are multidisciplinary, and the parameters are sudden and multiple and involve different technical aspects and interlinked effects. New technologies are opening a new era in automation for manufacturers, in which human and machines will increasingly work side by side, it makes the operator tasks have different complexities from the traditional ones in the 5th industrial revolution. The key aspects of accurately operating of major equipment with adoption of digitization
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