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研究生: Zerlynda Fitria Nur Mayanti
Zerlynda Fitria Nur Mayanti
論文名稱: 高變異小批量製造導入彈性架構之個案研究
Flexibility Framework Implementation in High Variety Low Volume Manufacturing Case Study
指導教授: 周碩彥
Shuo-Yan Chou
口試委員: 喻奉天
Vincent F. Yu
郭伯勳
Po-Hsun Kuo
學位類別: 碩士
Master
系所名稱: 管理學院 - 工業管理系
Department of Industrial Management
論文出版年: 2020
畢業學年度: 108
語文別: 英文
論文頁數: 72
中文關鍵詞: FlexibilityUtilizationWIPHigh Variety Low Volume
外文關鍵詞: Flexibility, Utilization, WIP, High Variety Low Volume
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Customized products that highly demanded by customers are having repercussions toward the manufacturing process. The manufacturers face production turbulence which are higher production complexity, higher product varieties, fewer production volume, higher changeover frequencies, higher knowledge requirement for operators, higher work-in-process levels, and low resources’ utilization. Those problems result in low demand fulfillment rate, production inefficiencies, and high production costs. Thus, high variety low volume (HVLV) manufacturers require to provide flexibility and responsiveness toward the production system to handle production turbulence. In order to remain competitive, HVLV manufacturers have to control the production lead time and improve inefficiencies as strategic and operational priorities.

Manufacturing flexibility has been proclaimed as a major competitive weapon for
manufacturers in uncertain environments and turbulence markets. It is argued that manufacturing flexibility has capability to change the production levels rapidly, to develop new products quickly, and to respond towards manufacturing turbulence quickly. HVLV manufacturing is in the area with a lot of manufacturing turbulence which cause imbalance to the manufacturing system. Manufacturing flexibility argued to have agility to handle the manufacturing imbalances by responding to the problem quickly. However, despite the researches of manufacturing flexibility and the familiarity of flexibility, the general understanding of the complex relationships within manufacturing flexibility remains fragmented. General lack of clarity on the concept of flexibility makes practitioners difficult to adequately conceptualize and understand the implementation of flexibility especially in HVLV manufacturing.

Thus, this research has an objective to provide modified required flexibility identification table, practical framework which acts as implementation guide for practitioners, and the critical configurations required in flexibility implementation which are found through utilization of discrete event simulation. This research will focus on handling the high work-in-process levels and low order fulfillment.

The idea of this approach is to present a solution to produce high variety low volume products with high order fulfillment, high throughput rates, and less WIP levels. This research is using a discrete event simulation to model the case study of Italian Manufacturer of high precision mechanical parts for sport and racing cars. This research proves that manufacturing flexibility results in high improvement on production efficiency, throughput rates, order fulfillment, and stable WIP levels. The framework from this research also consist and explain the systematic methodology of flexibility implementation in HVLV manufacturing.


Customized products that highly demanded by customers are having repercussions toward the manufacturing process. The manufacturers face production turbulence which are higher production complexity, higher product varieties, fewer production volume, higher changeover frequencies, higher knowledge requirement for operators, higher work-in-process levels, and low resources’ utilization. Those problems result in low demand fulfillment rate, production inefficiencies, and high production costs. Thus, high variety low volume (HVLV) manufacturers require to provide flexibility and responsiveness toward the production system to handle production turbulence. In order to remain competitive, HVLV manufacturers have to control the production lead time and improve inefficiencies as strategic and operational priorities.

Manufacturing flexibility has been proclaimed as a major competitive weapon for
manufacturers in uncertain environments and turbulence markets. It is argued that manufacturing flexibility has capability to change the production levels rapidly, to develop new products quickly, and to respond towards manufacturing turbulence quickly. HVLV manufacturing is in the area with a lot of manufacturing turbulence which cause imbalance to the manufacturing system. Manufacturing flexibility argued to have agility to handle the manufacturing imbalances by responding to the problem quickly. However, despite the researches of manufacturing flexibility and the familiarity of flexibility, the general understanding of the complex relationships within manufacturing flexibility remains fragmented. General lack of clarity on the concept of flexibility makes practitioners difficult to adequately conceptualize and understand the implementation of flexibility especially in HVLV manufacturing.

Thus, this research has an objective to provide modified required flexibility identification table, practical framework which acts as implementation guide for practitioners, and the critical configurations required in flexibility implementation which are found through utilization of discrete event simulation. This research will focus on handling the high work-in-process levels and low order fulfillment.

The idea of this approach is to present a solution to produce high variety low volume products with high order fulfillment, high throughput rates, and less WIP levels. This research is using a discrete event simulation to model the case study of Italian Manufacturer of high precision mechanical parts for sport and racing cars. This research proves that manufacturing flexibility results in high improvement on production efficiency, throughput rates, order fulfillment, and stable WIP levels. The framework from this research also consist and explain the systematic methodology of flexibility implementation in HVLV manufacturing.

ABSTRACT.................................................................................................................................... i ACKNOWLEDGEMENT...........................................................................................................iii TABLE OF CONTENTS ............................................................................................................ iv LIST OF FIGURES ..................................................................................................................... vi LIST OF TABLES...................................................................................................................... vii CHAPTER I INTRODUCTION ................................................................................................. 1 1.1. Background................................................................................................................... 1 1.2. Problem Statements...................................................................................................... 2 1.3. Assumptions and Limitations....................................................................................... 2 1.4. Research Objectives ..................................................................................................... 3 1.5. Research Benefits......................................................................................................... 3 1.6. Organization of the Thesis............................................................................................ 3 CHAPTER II LITERATURE REVIEW.................................................................................... 4 2.1. High Variety – Low Volume Manufacturing ............................................................... 4 2.1.1. Manufacturing System Category........................................................................... 5 2.1.2. Process Types........................................................................................................ 6 2.1.3. Manufacturing Environment Characteristics ........................................................ 9 2.1.4. Manufacturing Turbulences in High Variety – Low Volume ............................. 11 2.2. Flexibility.................................................................................................................... 12 2.2.1. Manufacturing Flexibility Types......................................................................... 12 2.2.2. Flexibility Dimensions........................................................................................ 16 2.2.3. Proposed Manufacturing System ........................................................................ 17 2.2.4. Examples of Flexibility Implementations........................................................... 18 2.3. Research Gap.............................................................................................................. 20 CHAPTER III METHODOLOGY AND CONFIGURATIONS ........................................... 22 3.1. General Study Framework.......................................................................................... 22 3.2. Case Study .................................................................................................................. 23 3.3. Case Study Problem Definitions................................................................................. 26 v 3.4. Simulation Case Generation ....................................................................................... 27 3.5. Resource Modelling for Current Manufacturing System Simulation Model ............. 31 3.6. Simulation Model Comparisons................................................................................. 32 3.7. Required Flexibility Identification ............................................................................. 32 3.8. Flexibilities’ Tuning in Simulation Model ................................................................. 36 3.9. Resource Modelling for Proposed Manufacturing System Simulation Model........... 41 CHAPTER IV RESULT & DISCUSSION............................................................................... 43 4.1. Manufacturing Challenges in HVLV Manufacturing (Case based Analysis) ............ 43 4.2. Flexibilities Performance Result ................................................................................ 46 4.2.1. Cycle Time .......................................................................................................... 47 4.2.2. Changeovers Frequency ...................................................................................... 48 4.2.3. Average Machine Utilizations............................................................................. 48 4.2.4. Average Work in Process Inventory ................................................................... 49 4.2.5. Queuing Time...................................................................................................... 51 4.2.6. Order Fulfillment................................................................................................. 52 4.3. Flexibilities’ Implementation’s Critical Configurations............................................. 52 4.4. Practical Implementation Framework of Flexibility in High Variety – Low Volume54 CHAPTER V CONCLUSION................................................................................................... 56 5.1. Conclusion.................................................................................................................. 56 5.2. Future Research .......................................................................................................... 57 REFERENCES........................................................................................................................... 58

Alexopoulos, K., Mamassioulas, A., Mourtzis, D. & Chryssolouris, G., 2005. Volume and Product
Flexibility: A Case Study for A Refrigerators Producing Facility. Catania, IEEE.
Ali, M. & Wadhawa, S., 2010. The Effect of Routing Flexibility on A Flexible System of
Integrated Manufacturing. International Journal of Production Research, 48(19), pp. 5961-5709.
Amaro, G., Hendry, L. & Kingsman, B., 1999. Competitive Advantage, Customization, and A
New Taxonomy for Non Make-to-Stock Companies. International Journal of Operations &
Production Management, pp. 349-371.
Andrew, F., Jonathan, G., Mohammed, N. & Nichloas, F., 2010. Defining the Lean and Agile
Characteristics of Engineer-to-Order Construction Projects. International Journal for Agile
Manufacturing, 10(2), pp. 219-231.
Androdegari, F. et al., 2015. Engineer to Order (ETO) Production Planning and Control: An
Empirical Framework for Machinery Building Companies. Production Planning & Control, pp.
910-932.
Aprile, D., Garavelli, A. C. & Giannoccaro, I., 2005. Operations Planning and Flexibility in a
Supply Chain. Production Planning and Control, 16(1), pp. 21-31.
Beach, R. et al., 2000. A review of Manufacturing Flexibility. European Journal of Operational
Research, Volume 122, pp. 41-57.
Bertolini, M., Romagnoli, G. & Zammori, F., 2017. 2MTO, A New Mapping Tool to Achieve
Lean Benefits in High Variety Low Volume Job Shops. Production Planning and Control, 28(5),
pp. 444-458.
Browne, J., Rathmill, K., Sethi, S. P. & Stecke, K. E., 1984. Classification of Proposed
Manufacturing Systems. The FMS Magazine, 2(2), pp. 114-117.
Buzacott, J. A. & Mandelbaum, M., 2008. Flexibility in Manufacturing and Services:
Achievements, Insights, and Challenges. Flexible Service Manufacturing Journal, Volume 20, pp.
13-58.
Buzacott, J. A. & Yao, D. D., 1986. Proposed Manufacturing Systems: A Review of Analytical
Models. Management Science, 32(7), pp. 890-905.
59
Chan, F., Bhagwat, R. & Wadhwa, S., 2006. Increase in Flexibility: Productive or
Counterproductive? A Study on the Physical and Operating Characteristics of A Proposed
Manufacturing System. International Journal of Production Research, 44(7), pp. 1431-1445.
Chan, F. T. S., 2001. The Effects of Routing Flexibility on a Proposed Manufacturing System.
International Journal of Computer Integrated Manufacturing, 14(5), pp. 431-445.
Chou, M. C., Chua, G. A. & Teo, C.-P., 2010. On Range and Response: Dimensions of Process
Flexibility. European Journal of Operational Research, Volume 201, pp. 711-724.
Coronado, A. E., Lyons, A. C., Kehoe, D. F. & Coleman, J., 2004. Enabling Mass Customization:
Extending Build-to-Order Concepts to Supply Chains. Production Planning & Control, 15(4), pp.
398-411.
El-Khalil, R. & Darwish, Z., 2019. Proposed Manufacturing System Performance in U.S.
Automotive Manufactuirng Plants: A Case Study. Production Planning & Control, 30(1), pp. 48-
59.
ElMaraghy, H. A., 2006. Flexible and Reconfigurable Manufacturing System Paradigms.
International Journal of Proposed Manufacturing System, Volume 17, pp. 261-276.
Groover, M. P., 2015. Automation, Production Systems, and Computer-Aided Manufacturing. 4
ed. New Jersey: Pearson.
Gupta, Y. P. & Goyal, S., 1989. The Flexibility of Manufacturing Systems: Concepts and
Measurements. European Journal of Operation Research, Volume 43, pp. 119-135.
Hart, A. G., 1965. Anticipations, Uncertainty and Dynamic Planning. 2 ed. New York: Augustus
M. Kelley Publisher.
Hauser, D. P. & Weck, O. L. d., 2007. Flexibility in Component Manufacturing Systems:
Evaluation Framework and Case Study. Journal of Intelligent Manufacturing, Volume 18, pp. 421-
432.
Hendry, L. C., 2010. Product Customization: An Empirical Study of Competitive Advantage and
Repeat Business. International Journal of Production Research, 48(13), pp. 3845-3865.
Hicks, C., McGovern, T. & Earl, C. F., 2001. A Typology of UK Engineer-to-Order Companies.
International Journal of Logistics, 4(1), pp. 43-56.
Hill, T., 2000. Instructor's Manual to Accompany Manufacturing Strategy: Text and Cases. 2nd
ed. Houndmills: Palgrave.
60
Jina, J., Bhattacharya, A. K. & Walton, A. D., 1997. Applying Lean Principles for High Product
Variety and Low Vollumes: Some Issues and Propositions. Logistics Information Management,
pp. 5-13.
Jonsson, P. & Mattsson, S.-A., 2003. The Implication of Fit between Planning Environment and
Manufacturing Planning Control Methods. International Journal of Operations and Production
Management, 23(8), pp. 872-900.
Jostes, T. & Helms, M. M., 1995. The Use of Buffer Inventory as an Asset Management Tool in a
Quick Response Environment. Production and Inventory Management, 36(3), pp. 17-22.
Kara, S. & Kayis, B., 2004. Manufacturing Flexibility and Variability: An Overview. Journal of
Manufacturing Technology Management, 15(6), pp. 466-478.
Katic, M. & Agarwal, R., 2018. The Flexibility Paradox: Achieving Ambidexterity in HighVariety, Low-Volume Manufacturing. Global Journal of Flexible Systems Management, Volume
19, pp. 69-86.
Koren, Y. & Shpitalni, M., 2010. Design of Reconfigurable Manufacturing Systems. Journal of
Manufacturing Systems, Volume 29, pp. 130-141.
Mishra, R., Pundir, A. K. & Ganapathy, L., 2014. Assessment of Manufacturing Flexibility.
Management Research Review, 37(8), pp. 750-776.
Mishra, R., Pundir, A. K. & Ganapathy, L., 2014. Assessment of Manufacturing Flexibility: A
Review of Research and Conceptual Framework. Management Research Review, 37(8), pp. 750-
776.
Mostafa, S., Dumrak, J. & Soltan, H., 2013. A Framework for Lean Manufacturing
Implementation. Production & Manufacturing Research, 1(1), pp. 44-64.
Ojha, D., White, R. E. & Rogers, P. P., 2013. Managing Demand Variability using Requisite
Variety for Improved Workflow and Operational Performance: The Role of Manufacturing
Flexibility. International Journal of Production Research, 51(10), pp. 2915-2934.
Oke, A., 2005. A Framework for Analysing Manufacturing Flexibility. International Journal of
Operations & Production Management, 25(10), pp. 973-996.
Portioli-Staudacher, A. & Tantardini, M., 2012. A Lean-based ORR System for Non-Repetitive
Manufacturing. International Journal of Production Research, 50(12), pp. 3257-3273.
Rosenhead, J., Elton, M. & Gupta, S. K., 1972. Robustness and Optimality as Criteria for Strategic
Decisions. Journal of the Operational Research Society, 23(4), pp. 413-431.
61
Rudberg, M. & Wikner, J., 2004. Mass Customization in Terms of the Customer Order Decoupling
Point. Production Planning & Control, pp. 445-458.
Sethi, A. K. & Sethi, S. P., 1990. Flexibility in Manufacturing: A Survey. International Journal of
Proposed Manufacturing Systems, Volume 2, pp. 289-328.
Slack, N., 1987. The Flexibility of Manufacturing Systems. International Journal of Operations
and Production Management, 7(4), pp. 35-45.
Slomp, J., Bokhorst, J. a. C. & Germs, R., 2009. A Lean Production Control System for HighVariety/Low-Volume Environments: A Case Study Implementation. Production Planning and
Control, 20(7), pp. 586-595.
Stigler, G., 1939. Production and Distribution in the Short Run. Journal of Political Economy,
47(3), pp. 305-327.
Synnes, E. L. & Welo, T., 2016. Bridging the Gap between High and Low Volume Production
through Enhancement of Integrative Capabilities. Blacksburg, Procedia Manufacturing.
Tanrisever, F., Morrice, D. & Morton, D., 2012. Managing Capacity Flexibility in Make to Order
Production Environments. European Journal of Operation Research, Volume 216, pp. 334-345.
Toni, A. D. & Tonchia, S., 1998. Manufacturing Flexibility: A Literature Review. International
Journal of Production Research, 36(6), pp. 1587-1617.
Upton, D. M., 1994. The Management of Mnaufacturing Flexibility. California Management
Review, 36(2), pp. 72-89.
Wang, H. et al., 2011. Multi Objective Optimization of Product Variety and Manufacturing
Complexity in Mixed Model Assembly Systems. Journal of Manufcaturing Systems, Volume 30,
pp. 16-27.
Willner, O., Powell, D., Duchi, A. & Schonsleben, P., 2014. Globally Distributed Engineering
Processes: Making the Distinction between Engineer-to-order and Make-to-order. Windsor,
Procedia CIRP.
Yadav, A. & Jayswal, S., 2018. Modelling of Proposed Manufacturing System: A Review.
International Journal of Production Research, 56(7), pp. 2464-2487.
Zequeira, R. I., Prida, B. & Valdess, J. E., 2004. Optimal Buffer Inventory and Preventive
Maintenance for an Imperfect Production Process. International Journal of Production Research,
42(5), pp. 959-974.
62
Zipkin, P., 2001. The Limit of Mass Customization. MIT Sloan Management Review, 42(3), pp.
81-87.

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