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研究生:宋育暐
研究生(外文):Yue-wei Sung
論文名稱:利用多重代理人的模擬與分析信任機制對共應戀效能的影響
論文名稱(外文):The Effects of Trust Mechanisms on Supply Chain Performance Using Multi-agent Simulation and Analysis
指導教授:林福仁林福仁引用關係
指導教授(外文):Fu-ren Lin
學位類別:碩士
校院名稱:國立中山大學
系所名稱:資訊管理學系研究所
學門:電算機學門
學類:電算機一般學類
論文種類:學術論文
論文出版年:2002
畢業學年度:90
語文別:英文
論文頁數:58
中文關鍵詞:供應鏈模擬網路致能組織信任機制
外文關鍵詞:simulationsupply chaintrust mechanismnetwork enabled organizations
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本研究在設計一個信任機制以提供網路致能組織(network enabled organizations) 評估與選擇潛在的供應商。期望透過此信任機制能夠有效的提高整體供應鏈的效能。
因此本研究參考文獻所提出對信任的定義與前因後果,設計一信任機制。以模具產業供應鏈為例,透過Swarm 模擬平台的幫助來評估在不同的供應商選擇策略下,整體供應鏈效能是否改變。此兩種選擇策略分別為:1.以價格及交期為決定因素,2.除了價格與交期等決定因素外,再參考本研究所提之信任機制來決定供應商。本研究設計三個實驗以分析不同的模擬設定下,兩個選擇策略的供應鏈效能。實驗一設定四種不同的訂單需求變動環境,實驗二設定三種不同的信任傾向,實驗三設定三種不同的信任前導因素權重。
根據研究結果顯示,在訂單需求環境變化大的時候,透過信任機制來選擇供應商可以顯著的降低平均訂單週期率及顯著提升訂單滿足率。信任傾向越高,供應鏈效能越好。而信任前導因子的權重對供應鏈效能的影響則不顯著。


In this study, we seek to contribute to theoretical understanding of the effect of trust on supply chain performance under different market environments. We are aiming to design the trust mechanisms suitable for network enabled organizations (Straub and Watson, 2002) to evaluate partners’ trustworthiness on the fly of supplier choice. The sophistication of agent technologies in the future also can execute such supply chain negotiation based on the developed trust mechanisms. Before that, in this research, we use the multi-agent simulation system, Swarm, for simulating and analyzing the supply chain performance in four different market environments. Supply chain performance is evaluated using an example order fulfillment process of the mold industry to compare its performance with versus without trust mechanisms. Sensitivity analysis is used for examining the properties of the proposed trust mechanisms.
We found that the trust mechanism will reduce the average cycle time rate and raise the in-time order fulfillment rate, but increase the unit cost of materials. Higher of trustor's propensity to trust results in higher in-time order fulfillment rate. This mechanism is better than just using quote price and due date, but it raises the unit cost of materials. The range of raised cost are controlled within 3%. We can consider this 3% additional material cost as the premium of the expectation of better quality and shorter cycle time.


Chapter 1 Introduction1
Chapter 2 Literature review4
2.1 Supply Chain Management and Network Enabled Organizations4
2.2 Virtual organizations5
2.4.2 Trust Models13
Chapter 3 research framework22
3.1 The Effects of Trust Mechanisms on Supply Chain Performance22
3.2 Modeling and Analyzing Supply Chain Management24
3.3 Supply Chain Structure of Mold industry28
Chapter 4 Experimental design30
4.1 Experimental Settings30
4.2 Three Experiments32
4.3 Detailed Design34
Chapter 5 experimental resutls and discussions37
5.1 The Effects of Trust on Supply Chain Performance37
5.2 The Composition of Trust Measurement toward Supply Chain Peformance40
5.3 Discussion43
Chapter 6 Conclusions and future work44
Appendix46
List of Figure
Figure 2.1. Holland and GeoffLocketts’ framework of trust (1998)15
Figure 2.2. Mayer, Davis, and Schoorman’s Model of Trust (1995)17
Figure 2.3. Abdul-Rahman and Hailes’ computational model (2000)18
Figure 2.4 Mui, Mohtashemi, and Halberstadt’s computational model (2002)20
Figure 2.5 The antecedents and consequences of JV trust (Inkpen and Currall, 1998)21
Figure 3.1 The SCN implementation on the Swarm platform.25
Figure 3.2 SCN agent interactions in the Swarm implementation27
Figure 3.3 The SCN structure of mold manufacturing industry28
Figure 3.4 The BOM of a simple punching mold29
Figure 4.1 Swarm configuration snapshot30
Figure 4.2 The interaction between agent in the simulation process36
List of Tables
Table 2-1 Trust antecedents summarized by Mayer, Davis, and Schoorman (1995)11
Table 4-1 parameters and variables in simulation31
Table 4-2 Experimental setting of the experimentation plan A33
Table 4-3 The experimental setting of experimentation plan B33
Table 4.4 the experimental setting of experimentation plan C.34
Table 5-1 Results of experimental A-137
Table 5-2 Results of experimental A-238
Table 5-3 Results of experimental A-339
Table 5-4 Results of experimental A-439
Table 5-5 Results of experimental B40
Table 5-6 Resutls of high trust vs. normal trust41
Table 5-7 Resutls of normal trust vs. low trust41
Table 5-8 Results of experimental C42
Table A-1(a) Experiment A-1 Average cycle time rate46
Table A-1(b) Experiment A-1 In time fulfillment tate46
Table A-1(c) Experiment A-1 Unit cost of materials46
Table A-2(a) Experiment A-2 Average cycle time rate47
Table A-2(b) Experiment A-2 In time fulfillment rate47
Table A-2(c) Experiment A-2 Unit cost of materials47
Table A-3(a) Experiment A-3 Average cycle time rate48
Table A-3(b) Experiment A-3 In time fulfillment rate48
Table A-3(c) Experiment A-3 Unit cost of materials48
Table A-4(a) Experiment A-4 Average cycle time rate49
Table A-4(b) Experiment A-4 In time fulfillment rate49
Table A-4(c) Experiment A-4 Unit cost of materials49
Table A-5(a) Experiment B Average cycle time rate50
Table A-5(b) Experiment B In-time fulfillment rate50
Table A-5(c) Experiment B Unit cost of materials50
Table A-6(a) Experiment B average cycle time rate(High vs. Normal)50
Table A-6(b) Experiment B average cycle time rate(Normal vs. Low)51
Table A-6(c) Experiment B in time fulfillment rate(High vs. Normal)51
Table A-6(d) Experiment B in time fulfillment rate(Normal vs. Low)51
Table A-6(e) Experiment B unit cost of material (High vs. Normal)52
Table A-6(f) Experiment B unit cost of material (Normal vs. Low)52
Table A-7(a) Experiment C Average cycle time rate52
Table A-7(b) Experiment C In time fulfillment rate52
Table A-7(c) Experiment C Unit cost of materials53


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