|Abstract: ||T 公司基於公司政策「人命為首要，工安最優先，落實安衛三化，確保|
行規劃編組。但近 20 年來公司因配合政府實施用人精簡、遇缺不補等政策， 員額精簡達 17.25%，且目前公司面臨人力老化、退休潮來臨，導致基層人
編組作業，考量相關限制條件，使用 LINGO 12.0 版數學規劃套裝軟體及 Microsoft Excel 2007 版試算表軟體程式建構數學模式，試以相對限制條件
並可做為決策者進行查核人員指派之參考。;The company policy of the T Company focuses on the concept of “human life first, work safety priority, and practicing health and safety protocols to achieve the objective of zero personnel and operation safety disaster while building a safe, healthy, and friendly work environment.” The T Company has spared no efforts in meeting the occupational safety and health requirements. It has formulated the "Occupational Health and Safety Inspection Plan" at the end of each year for the following year to regulate the inspection plan execution and implementation related contents in hopes that the on site inspection mechanism can identify the risk factors such as the unsafe environments, machines, equipment, operation procedures, and personnel practices in the workplace in order to strengthen safety and reduce the occupational disaster rate. When the company formulated the "Occupational Health and Safety Inspection Plan" each year, the planning personnel must organize an inspection team according to factors such as the number of inspectors, ranks, and professional backgrounds. However, the company has collaborated with the government to implement the personnel streamlining policy for the past two decades by not filling the vacant job positions, and the policy resulted in a 17.25% staff reduction. At present, the company is facing an aging and retirement trend that is leading to the severe shortage of the base level staffs and the frequent personnel shift phenomenon. In this study, we adopted the optimization theory to perform the inspection team planning operation, considered the relevant restriction conditions, and used the LINGO 12.0 mathematical planning package software and the Microsoft Excel 2007 spreadsheet software program to construct a mathematical model to strive to identify the minimum number of base level personnel assignments under the relative conditions. The goal was to reduce the workload of the base level personnel while achieving the fair and reasonable personnel assignment objective. We performed model simulation tests and evaluation analyses to evaluate the practicability of the model of this study, and yielded excellent test results. We performed comparative analyses between the model of this study and the manual team planning model, and found that the model of this study has better benefits, can save a significant amount of operation time and improve
work efficiency during personnel planning, and can effectively improve the shortcomings of the manual team planning operations. We performed a sensitivity analysis to identify the sensitivity of the key parameters and how the increase or decrease of these parameters can affect the model of this study. The result can serve as a reference for the decision makers when they designate the inspectors.