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研究生:劉穹林
研究生(外文):Chiung- Lin Liu
論文名稱:航空發動機維修作業中拆解過程之人力規劃研究
論文名稱(外文):A Study of Human Resource Planning for Disassembly Process of Aviation Engine Maintenance Operation
指導教授:王晉元王晉元引用關係
指導教授(外文):Jin-Yuan Wang
學位類別:碩士
校院名稱:國立交通大學
系所名稱:運輸科技與管理學系
學門:運輸服務學門
學類:運輸管理學類
論文種類:學術論文
論文出版年:2003
畢業學年度:91
語文別:英文
論文頁數:75
中文關鍵詞:航空發動機拆解維修人力規劃零工式生產排程問題混合整數規劃
外文關鍵詞:Aviation engine disassemblyMaintenanceHuman resource planningJob shop scheduling problemMixed integer programming
相關次數:
  • 被引用被引用:4
  • 點閱點閱:219
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  • 下載下載:0
  • 收藏至我的研究室書目清單書目收藏:1
航空工業為一具戰略性的高科技產業,乃整體工業發展之重要指標。面對今日激烈的全球競爭,各國莫不戮力提昇其水準。而發動機的維修排程,則為此中一重要的課題。
就當前的趨勢以觀,企業獲利之來源,多賴有效率的營運管理。如何整合現有的技術、人力,並輔以相關之配套措施,誠為攸關企業存亡的關鍵因素之一。在有限的資源下,一有效率的發動機維修排程,將可降低企業之營運成本,並可提升其維修能量。
在本研究中,我們討論了發動機維修作業中的拆解過程。我們將其視為一零工式生產排程問題,並且發展了此課題的混合整數規劃(mixed integer programming, MIP)數學模式。為了測試本模式之實用性,我們針對A引擎維修公司內部的拆解過程予以測試。
在此情況下,模式的求解結果,除了能夠縮短A公司引擎拆解的完成時間外,還可以極小化系統所需之人力。此求解結果兼具效能與品質兩方面之功用。另一方面,我們尚建議A公司一個新的排程策略,依據此策略所得到的排程結果,將可為A公司提升更多的營運效能。
  The developing of aviation industry, a strategic industry with advance technology, is the key point for the whole industry. In order to be globally competitive, many countries are eager to find out innovative ways to improve the development efficiency. The engine maintenance schedule is one of the concerned issues.
  Nowsdays the competence of an enterprise is partly shifted to the capability of aligning the operations management. It is important to effectively integrate the current technologies and human resources while aided with assistance from the related coordinating measures. Under the presumption of finite resources, an efficient engine maintenance schedule for a company can reduce the operation cost and expand the business.
  In this research, we discuss the engine disassembly process, which is one of the tasks of engine maintenance process. We consider the engine disassembly process that could be viewed as a job shop scheduling problem. We develop a mixed integer programming (MIP) model for engine disassembly process. To illustrate the applicability of the MIP model, we present a case study on the engine disassembly process taken from an engine maintenance company (company A).
  We prove that the solutions of current situation for company A not only can speed up the finish time for engine disassembly, also can minimize worker demand. The results are satisfactory in terms of both efficiency and quality of the solution. In addition, we suggest company A a policy in order to promote the efficiency. The solution of modified situation can bring much more benefit for company A.
CHAPTER 1 INTRODUCTION 1
1.1 RESEARCH MOTIVATIONS 1
1.2 BRIEFING OF THE CURRENT OPERATION 1
1.3 RESEARCH OBJECTIVES 2
1.4 RESEARCH SCOPE 3
1.5 ORGANIZATION 3
CHAPTER 2 LITERATURE REVIEW 4
2.1 REVIEW OF JOB SHOP SCHEDULING PROBLEM WITH GENERAL FORM 5
2.2 REVIEW OF JOB SHOP SCHEDULING PROBLEM WITH RELAXED FORM 8
2.3 SUMMARY 9
CHAPTER 3 REVIEW OF CURRENT STATUS 11
3.1 ENGINE DISASSEMBLY PROCESS 11
3.2 OPERATION DATA FOR COMPANY A 15
3.2.1Standard disassembly process time 15
3.2.2 Definition of working hour and assignment times 16
3.2.3 Machine number and worker demand 17
CHAPTER 4 A MIXED INTEGER PROGRAMMING MODEL FOR ENGINE DISASSEMBLY PROCESS 19
4.1 A MIXED INTEGER PROGRAMMING FORMULATION FOR SUB-MODEL 1 20
4.2 A MIXED INTEGER PROGRAMMING FORMULATION FOR SUB-MODEL 2 24
CHAPTER 5 SOLUTIONS FOR THE ENGINE DISASSEMBLY PROCESS 27
5.1 SOLUTIONS FOR ONE-ENGINE SITUATION WITH 2 SHIFTS A DAY POLICY 29
5.1.1 The earliest disassembly time for one-engine 29
5.1.2 The minimum worker demand for system 32
5.1.3 Summary of solutions for one-engine situation with 2 shifts a day policy 32
5.2 SOLUTIONS FOR ONE-ENGINE SITUATION WITH 8 SHIFTS A DAY POLICY 33
5.2.1 The earliest disassembly time for one-engine 34
5.2.2 The minimum worker demand for system 34
5.2.3 Summary of solutions for one-engine situation with 8 shifts a day policy 35
5.3 SOLUTIONS FOR MULTI-ENGINE SITUATION WITH NON-OVERLAP AND 2 SHIFTS A DAY POLICY 36
5.3.1 The earliest disassembly time for engines 36
5.3.2 The minimum worker demand for system 36
5.3.3 Summary of solutions for multi-engine situation with non-overlap and 2 shifts a day policy 40
5.4 SOLUTIONS FOR MULTI-ENGINE SITUATION WITH NON-OVERLAP AND 8 SHIFTS A DAY POLICY 41
5.4.1 The earliest disassembly time for engines 41
5.4.2 The minimum worker demand for system 42
5.4.3 Summary of solutions for multi-engine situation with non-overlap and 8 shifts a day policy 45
5.5 SOLUTIONS FOR MULTI-ENGINE SITUATION WITH OVERLAP AND 2 SHIFTS A DAY POLICY 46
5.5.1 The earliest disassembly time for engines 46
5.5.2 The minimum worker demand for system 52
5.5.3 Summary of solutions for multi-engine situation with overlap and 2 shifts a day policy 55
5.6 SOLUTIONS FOR MULTI-ENGINE SITUATION WITH OVERLAP AND 8 SHIFTS A DAY POLICY 56
5.6.1 The earliest disassembly time for engines 56
5.6.2 The minimum worker demand for system 61
5.6.3 Summary of solutions for multi-engine situation with overlap and 8 shifts a day policy 64
5.7 SUMMARY OF SOLUTIONS FOR THIS CHAPTER 65
CHAPTER 6 CONCLUSIONS AND SUGGESTIONS 70
6.1 CONCLUSIONS 70
6.2 SUGGESTIONS 71
REFERENCES 73
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