Abstract
Corporate social responsibility (CSR) is the concrete practice of sustainable development at the enterprise level, emphasizing the human value in the production process. The proposal of Industry 5.0 begins to take the coordinated development between human and various production factors as one of the key points of corporate sustainable management. Therefore, this paper studies the optimization of medical enterprise’s operations management considering enterprise CSR under Industry 5.0. A mixed-integer programming (MIP) model is developed to maximize the CSR with the consideration of the impact of precision medical technologies such as surgical robots (SRs) and 3D bone printing on employee social welfare, corporate profits, social environment, and customer surplus value. An improved variable neighborhood tabu search (IVNTS) algorithm which combines the variable neighborhood tabu search (VNTS) algorithm and simulated annealing (SA) algorithm is designed to solve the model, and numerical experiments are analyzed to verify the effectiveness of the proposed IVNTS. The research aids medical enterprise to make reasonable operations management decisions, while providing a reference for the government to draft and implement related policies, thereby achieving sustainable social development.
Highlights
It has been more than 240 years since the first industrial revolution was proposed in 1780, which has gone through four stages of mechanization, electrification, automation, and digitalization. e emergence of intelligence and interconnection signifies that the manufacturing industry has entered an era of technology reform [1]. e promulgation and implementation of the “New Generation Artificial Intelligence Development Plan,” “EU Civil Law Rules on Robotics,” accelerates the global integration of cutting-edge technology and traditional industries, and the fifth industrial revolution (Industry 5.0) comes into being
Cruz [23] analyzed the impact of supply-side interruption risk, social risk, and demand uncertainty and established a decision-making model based on Corporate social responsibility (CSR) and global supply chain, with the goal of maximizing profit and minimizing risk
To solve the proposed problem, this paper proposes the optimization problem of operation management considering CSR based on the research of Industry 5.0 and CSR and develops an mixed-integer programming (MIP) model with the goal of maximizing CSR
Summary
It has been more than 240 years since the first industrial revolution was proposed in 1780, which has gone through four stages of mechanization, electrification, automation, and digitalization. e emergence of intelligence and interconnection signifies that the manufacturing industry has entered an era of technology reform [1]. e promulgation and implementation of the “New Generation Artificial Intelligence Development Plan,” “EU Civil Law Rules on Robotics,” accelerates the global integration of cutting-edge technology and traditional industries, and the fifth industrial revolution (Industry 5.0) comes into being. With the continuous improvement of people’s demands for medical service level and under the pressure of competition and self-development requirements, the benefits balance problem of participants in the global sustainable supply chain needs to be solved urgently by medical companies They can better assume the global corporate social responsibility (GCSR). E main contributions are summarized as follows: (1) developing a quantitative analysis model with the goal of maximizing CSR, which is more practical than previous theoretical research; (2) designing an efficient improved variable neighborhood tabu search algorithm, which can obtain a satisfactory solution efficiently; (3) conducting a large number of numerical experiments, which provide management enlightenment for the operation and decisionmaking of medical enterprises
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