跳到主要內容

臺灣博碩士論文加值系統

(34.204.198.73) 您好!臺灣時間:2024/07/21 15:55
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果 :::

詳目顯示

我願授權國圖
: 
twitterline
研究生:Alfina Budi Khoirani
研究生(外文):Alfina Budi Khoirani
論文名稱:供應鏈網路彈性優化模型之開發
論文名稱(外文):Development of a Supply Chain Network Resilience Optimization Model
指導教授:喻奉天喻奉天引用關係郭伯勳
指導教授(外文):Vincent F. YuPo-Hsun Kuo
口試委員:郭伯勳林詩偉
口試委員(外文):Po-Hsun KuoShih-Wei Lin
口試日期:2022-01-14
學位類別:碩士
校院名稱:國立臺灣科技大學
系所名稱:工業管理系
學門:商業及管理學門
學類:其他商業及管理學類
論文種類:學術論文
論文出版年:2022
畢業學年度:110
語文別:英文
論文頁數:75
外文關鍵詞:location-allocation problemcarbon emissioninventory controlsupply chain network resiliencemixed-integer nonlinear programming
相關次數:
  • 被引用被引用:0
  • 點閱點閱:78
  • 評分評分:
  • 下載下載:0
  • 收藏至我的研究室書目清單書目收藏:0
The instability of a supply chain will affect supply chain performance in running business activities. One of the causes of supply chain instability is disruption. Supply chain disruptions are unplanned and unpredictable events that disrupt the expected flows of goods and materials in the supply chain. Potential disruption in the supply chain can be caused by natural disasters and human actions such as political stability and terrorism, etc. Consequently, companies must improve their performance as a resilient supply chain development. Supply chain resilience is the adaptive ability of the supply chain to deal with unpredictable events, respond to disruptions, and restore them into the initial state or a better state. In this research, a Mixed Integer Nonlinear Programming (MINLP) model is developed to analyze a location-allocation problem with supply disruption in a three-echelon network. Sourcing strategy is evaluated to create supply chain resiliency. This study uses (s,S) and (s,Q) inventory policy to manage the inventory. The sourcing policy is conducted by considering single-sourcing and multiple-sourcing. Furthermore, the model also considers environmental effects by calculating carbon emissions resulting from transportation and manufacturing processes. Numerical analysis is evaluated using a Lingo solver. According to the result, implementing multi-sourcing under supply disruption can reduce the total cost of the supply chain by 4 %. In addition, sensitivity analysis is conducted to know the impact of changing some parameters to the objective function and decision variable.
ABSTRACT ii
ACKNOWLEDGMENT iii
TABLE OF CONTENTS iv
LIST OF FIGURES vi
LIST OF TABLES vii
CHAPTER I INTRODUCTION 1
1.1 Background 1
1.2 Research Statement 3
1.3 Assumptions and Limitations 4
1.4 Research Objectives 4
1.5 Research Benefits 4
CHAPTER II LITERATURE REVIEW 6
2.1 Supply Chain Network Design 6
2.2 Supply Chain Disruption 9
2.3 Supply Chain Resilience 10
2.4 Inventory Control 13
2.5 Environment Consideration 16
2.6 Solution approach 16
2.7 Research Contributions 19
CHAPTER III MODEL DEVELOPMENT 21
3.1 Research Methodology 21
3.2 Problem Definition 22
3.3 Research Tools 23
3.4 System Characterization 23
3.5 Problem Assumptions 25
3.6 Mathematical Formulation 25
3.7 Supply Disruption and Demand Generation Procedure 34
CHAPTER IV RESULT AND DISCUSSION 36
4.1 Data Generation 36
4.2 Scenario Comparison 37
4.3 Sensitivity Analysis 44
CHAPTER V CONCLUSION AND FUTURE RESEARCH 55
5.1 Conclusion 55
5.2 Recommendations and Future Research 55
REFERENCES 57
APPENDIX 62
Bottani, E., Murino, T., Schiavo, M., & Akkerman, R. (2019). Resilient food supply chain design: Modelling framework and metaheuristic solution approach. Computers and Industrial Engineering, 135, 177–198. https://doi.org/10.1016/j.cie.2019.05.011
Chopra, S., & Meindl, P. (2007). Supply Chain Management. Pearson Education, Inc.
Christopher, M., & Peck, H. (2004). Building the Resilient Supply Chain. In The International Journal of Logistics Management (Vol. 15, Issue 2, pp. 1–14). https://doi.org/10.1108/09574090410700275
Craighead, C. W., Blackhurst, J., Rungtusanatham, M. J., & Handfield, R. B. (2007). The severity of supply chain disruptions: Design characteristics and mitigation capabilities. Decision Sciences, 38(1), 131–156. https://doi.org/10.1111/j.1540-5915.2007.00151.x
Crandall, R. E., Crandall, W. R., & Chen, C. C. (2015). Principles of Supply Chain Management Second Edition Series on Resource Management.
Darmawan, A., Wong, H., & Thorstenson, A. (2021). Supply chain network design with coordinated inventory control. Transportation Research Part E: Logistics and Transportation Review, 145. https://doi.org/10.1016/j.tre.2020.102168
Darom, N. A., Hishamuddin, H., Ramli, R., & Mat Nopiah, Z. (2018a). An inventory model of supply chain disruption recovery with safety stock and carbon emission consideration. Journal of Cleaner Production, 197, 1011–1021. https://doi.org/10.1016/j.jclepro.2018.06.246
Darom, N. A., Hishamuddin, H., Ramli, R., & Mat Nopiah, Z. (2018b). An inventory model of supply chain disruption recovery with safety stock and carbon emission consideration. Journal of Cleaner Production, 197, 1011–1021. https://doi.org/10.1016/j.jclepro.2018.06.246
Elleuch, H., Dafaoui, E., Elmhamedi, A., & Chabchoub, H. (2016). Resilience and Vulnerability in Supply Chain: Literature review. IFAC-PapersOnLine, 49(12), 1448–1453. https://doi.org/10.1016/j.ifacol.2016.07.775
Esmaeili-Najafabadi, E., Fallah Nezhad, M. S., Pourmohammadi, H., Honarvar, M., & Vahdatzad, M. A. (2019). A joint supplier selection and order allocation model with disruption risks in centralized supply chain. Computers and Industrial Engineering, 127, 734–748. https://doi.org/10.1016/j.cie.2018.11.017
Faisal, M. N., Banwet, D. K., & Shankar, R. (2006). Supply chain risk mitigation: Modeling the enablers. Business Process Management Journal, 12(4), 535–552. https://doi.org/10.1108/14637150610678113
Ganeshan, R., & Harrison, T. P. (2002). An Introduction to Supply Chain Management. Departement of Management Science and Information Systems.
Gholami-Zanjani, S. M., Jabalameli, M. S., & Pishvaee, M. S. (2021a). A resilient-green model for multi-echelon meat supply chain planning. Computers and Industrial Engineering, 152, 107018. https://doi.org/10.1016/j.cie.2020.107018
Gholami-Zanjani, S. M., Jabalameli, M. S., & Pishvaee, M. S. (2021b). A resilient-green model for multi-echelon meat supply chain planning. Computers and Industrial Engineering, 152. https://doi.org/10.1016/j.cie.2020.107018
Govindan, K., Fattahi, M., & Keyvanshokooh, E. (2017). Supply chain network design under uncertainty: A comprehensive review and future research directions. European Journal of Operational Research, 263(1), 108–141. https://doi.org/10.1016/j.ejor.2017.04.009
Hasani, A., Mokhtari, H., & Fattahi, M. (2021). A multi-objective optimization approach for green and resilient supply chain network design: A real-life case study. Journal of Cleaner Production, 278. https://doi.org/10.1016/j.jclepro.2020.123199
Hishamuddin, H., Mohamad Sobri, F. M., Nur Ghafar, F. A., & Noraida Darom, A. M. (2019). A Recovery Model for an EPQ System subject to Supply Disruption with Consideration of Safety Stock. International Conference on Industrial Engineering and Applications, 240–245. https://doi.org/10.1109/IEA.2019.8715204
Hohenstein, N. O., Feise, E., Hartmann, E., & Giunipero, L. (2015). Research on the phenomenon of supply chain resilience: A systematic review and paths for further investigation. International Journal of Physical Distribution and Logistics Management, 45, 90–117. https://doi.org/10.1108/IJPDLM-05-2013-0128
Kamalahmadi, M., & Parast, M. M. (2016). A review of the literature on the principles of enterprise and supply chain resilience: Major findings and directions for future research. International Journal of Production Economics, 171, 116–133. https://doi.org/10.1016/j.ijpe.2015.10.023
Kamalahmadi, M., & Parast, M. M. (2017). An assessment of supply chain disruption mitigation strategies. International Journal of Production Economics, 184, 210–230. https://doi.org/10.1016/j.ijpe.2016.12.011
Khalifehzadeh, S., Seifbarghy, M., & Naderi, B. (2015). A four-echelon supply chain network design with shortage: Mathematical modeling and solution methods. Journal of Manufacturing Systems, 35, 164–175. https://doi.org/10.1016/j.jmsy.2014.12.002
Lücker, F., & Seifert, R. W. (2017). Building up Resilience in a Pharmaceutical Supply Chain through Inventory, Dual Sourcing and Agility Capacity. Omega (United Kingdom), 73, 114–124. https://doi.org/10.1016/j.omega.2017.01.001
Mehrjerdi, Y. Z., & Shafiee, M. (2020). A resilient and sustainable closed-loop supply chain using multiple sourcing and information sharing strategies. Journal of Cleaner Production, 289. https://doi.org/10.1016/j.jclepro.2020.125141
Namdar, J., Li, X., Sawhney, R., & Pradhan, N. (2018). Supply chain resilience for single and multiple sourcing in the presence of disruption risks. International Journal of Production Research, 56(6), 2339–2360. https://doi.org/10.1080/00207543.2017.1370149
Pettit, T. J., Fiksel, J., & Croxton, K. L. (2010). Ensuring Supply Chain Resilience: Development of a Conceptual Framework. Journal of Business Logistics, 31(1), 1–21. https://doi.org/10.1002/j.2158-1592.2010.tb00125.x
Ponomarov, S. Y., & Holcomb, M. C. (2009). Understanding the concept of supply chain resilience. The International Journal of Logistics Management, 20(1), 124–143. https://doi.org/10.1108/09574090910954873
Puga, S. M., & Tancrez, J. S. (2017). A heuristic algorithm for solving large location–inventory problems with demand uncertainty. European Journal of Operational Research, 259(2), 413–423. https://doi.org/10.1016/j.ejor.2016.10.037
Qi, L., Shen, Z. J. M., & Snyder, L. (2010). The effect of supply disruptions on supply chain design decisions. Transportation Science, 44(2), 274–289. https://doi.org/10.1287/trsc.1100.0320
Rezapour, S., Farahani, R. Z., & Pourakbar, M. (2017). Resilient supply chain network design under competition: A case study. European Journal of Operational Research, 259(3), 1017–1035. https://doi.org/10.1016/j.ejor.2016.11.041
Samanta, P. (2015). Introduction to Inventory Management. In Problems & Solutions in Inventory Management. Department of Mathematics Berhampur University. https://doi.org/10.1007/978-3-319-65696-0_1
Saputro, T. E., Figueira, G., & Almada-Lobo, B. (2019). Integration of supplier selection and inventory management under supply disruptions. IFAC-PapersOnLine, 52(13), 2827–2832. https://doi.org/10.1016/j.ifacol.2019.11.637
Sheffi, Y., & Rice Jr., J. B. (2005). A Supply Chain View of the Resilinent Enterprise. MITSLoan Management Review, 47(1). https://doi.org/10.1007/BF01654241
Silver, E. A., Pyke, D. F., & Thomas, D. J. (2017). Inventory and Production Management in Supply Chains Fourth Edition (Fourth Edition). Taylor & Francis Group, LLC.
Simatupang, T. M., & Sridharan, R. (2008). Design for supply chain collaboration. Business Process Management Journal, 14(3), 401–418. https://doi.org/10.1108/14637150810876698
Simchi-Levi, D., Kaminsky, P., & Simchi-Levi, E. (2000). Designing and Managing The Supply Chain Concepts, Strategies, Case Studies by David Simchi-Levi, Philip Kaminsky, Edith. McGraw-Hill.
Singh, C. S., Soni, G., & Badhotiya, G. K. (2019). Performance indicators for supply chain resilience: review and conceptual framework. Journal of Industrial Engineering International, 15, 105–117. https://doi.org/10.1007/s40092-019-00322-2
Sterman, J. (2005). Operational and behavioral causes of supply chain instability. The Bullwhip Effect in Supply Chains, 36.
Stevenson, M., & Spring, M. (2007). Flexibility from a supply chain perspective: Definition and review. International Journal of Operations and Production Management, 27(7), 685–713. https://doi.org/10.1108/01443570710756956
Vakharia, A. J., & Yenipazarli, A. (2008). Managing supply chain disruptions. In Foundations and Trends in Technology, Information and Operations Management (Vol. 2, Issue 4). https://doi.org/10.1561/0200000012
Wang, M., Wu, J., Kafa, N., & Klibi, W. (2020). Carbon emission-compliance green location-inventory problem with demand and carbon price uncertainties. Transportation Research Part E: Logistics and Transportation Review, 142. https://doi.org/10.1016/j.tre.2020.102038
Watson, M., Lewis, Sara., Cacioppi, Peter., & Jayaraman, Jay. (2013). Supply chain network design: applying optimization and analytics to the global supply chain. Pearson Education, Inc.
Wild, T. (2002). Best Practice in Inventory Management. Elsevier Science Ltd. https://doi.org/10.4324/9781315231532-2
連結至畢業學校之論文網頁點我開啟連結
註: 此連結為研究生畢業學校所提供,不一定有電子全文可供下載,若連結有誤,請點選上方之〝勘誤回報〞功能,我們會盡快修正,謝謝!
QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top