| 摘要: | 因應國家戰備需要，國防武器系統的產製與準備需整合現有資源，在火工作業廠房、庫房、火工作業人力有限及具經驗的資深同仁陸續退休情況下，如何做好經驗傳承與銜接，以期發揮最大綜效，完成最大生產量能，為本次研究探討之起心動念。概國防武器系統可通分為序號彈藥(例如飛彈)及批號彈藥(例如火箭、彈頭、引信等)，惟不論何種彈藥，武器系統主要由引信、彈頭、推進器等三部分組成，包含機械加工、化學火炸藥及電子電路三大領域，並在一定的品質系統與可靠度設計下完成生產製作。
本研究是以傳統武器為研究範圍，此類型工序、道次及工時均相同，因此將本研究設計為生產線的概念，精實人力運用，並適切的加入新血，使老師傅的技藝精髓得以傳承，以勞務平衡及指派公平為目標，考量每日值勤的人數及職務的不同，透過數學0-1整數規劃，編排限制條件等，建構數學模式，運用電腦軟體LINGO 18.0，結合EXECL輸出數據資料，求出最佳化的排班模式，並透過人員的增減及工作天數增減變化，做方案及敏感度分析評估，其分析的數值資料，可提供決策者因應現實考量，做為生產線增減參考的重要指標。
;The objective of this study is to maximize the production capacity of national defense weapon systems by preserving knowledge and experience and achieving fairness in workload assignment. The production of national defense weapon systems involves integrating existing resources in the production and preparation process. There is a limited supply of explosive-only factories, warehouses, and personnel with explosive expertise, and the retirement of experienced senior personnel poses a challenge to production capacity. General defense weapon systems can be classified into serial ammunition (e.g., missiles) and batch ammunition (e.g., rockets, warheads, fuzes, etc.). Regardless of the ammunition type, a weapon system comprises three components: fuze, warhead, and propellent. The production process stretches across three major domains: machining, chemical explosives, and electronic circuits. The production is completed under a quality control system and reliability design.
The study focuses on the production of traditional weaponry, and the processes and working hours are considered constant in subsequent analysis. The study is conducted with the concept of a production line in mind, where the use of manpower is optimal, and new recruits are hired to inherit the skills and knowledge from seasoned experts. The study aims to achieve fairness in workload assignment, taking into account the daily number of people on duty and the difference between roles. To achieve this, the study constructs a model through mathematical 0-1 integer programming and programming constraints. Computer software such as LINGO 18.0 and EXECL are used for data output, and the study explores optimal shift scheduling and performs sensitivity analysis based on variations in staff capacity or the number of working days. The data used in the analysis may serve as key indicators for production line rearrangements and provide realistic considerations to decision makers. Ultimately, the findings of this study may increase production capacity and readiness of the nation′s defense weapon systems. |
