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  • 學位論文

條碼即時產能監控系統於製鞋業之應用

Instant yield improving and monitoring by implementing Barcode System in shoe-manufacturing industry.

指導教授 : 曹世昌
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摘要


製鞋產業在過去曾經為台灣經濟創造出亮麗的成績單,而現今由於此屬於勞力密集的產業,在最近的幾年紛紛的不斷外移到東南亞及大陸等工資較為低廉的國家,同時製鞋台商也藉由此一機會將產業的規模不斷的擴大,能夠與世界級的公司進行競爭,但衍生而來的即是在產業規模大型化之後所面臨的管理挑戰。 把條碼應用來進行生產管理監控已經逐漸被使用在一般組裝性產業中,在製鞋產業中仍屬於實驗性階段,本研究將實際建置一條碼系統於實際運動鞋生產線上,進行各項即時資料的搜集與分析並針對異常狀況進行警示,利用此一即時的生產反應機制;協助生產管理人員能在第一時間進行問題的掌控與排除,從此系統建置導入後可透過前後數據比較,改善在製程中發生的材料損失以及不良品重工維修數量降低,使實際有效生產時間增加進而提升部份產能。

關鍵字

條碼 成績單 世界級 運動鞋 生產線 實驗性

並列摘要


In the past, the shoe manufacturing industry had been created lots of benefits and opportunities in Taiwan’s economy; however, since it is a labor-intensive industry, a lot of shoe companies were forced to move to China and Southeast Asia where labor fees are cheaper. In the same time, those shoe companies have been keeping on increasing oversea investments and became global organization to compete with other international companies in the world. Since the company is getting extended, how to manage a lager organization becomes the prime challenge for shoe manufacturer. Since the barcode system has been implementing in assembly manufacturing industry for years, it is already a mature technical; however, for shoe manufacturing industry, it is still in experiment stage. In this research, I will establish a barcode monitor system on a sport shoe production line. This system will collect and analyze the data of instant yield, and create a warning signal for unusual information found as well. This system is trying to help the manager in production line to acquire the real time situation and handle those unusual problems during production process. By comparing the data of material loss and rework information with before, the manager will be able to find solutions to decrease the cost of material loss and improve the situation of rework and further enhance the productivity.

並列關鍵字

Barcode System already before system China data

參考文獻


[08] Kalakota, R. and Robinson, M., “e-Business: Roadmap for Success,” Addison Wesley, Massachusetts, 1999.
[09] Ponnambalam, S.G., Aravindan, P., and Naidu, G.M., “A multi-objective genetic algorithm for solving assembly line balancing problem,” Advanced Manufacturing Technology, Vol. 16, pp.341-352, 2000.
[10] Kim, Y. K., Kim, Y. J., and Kim, Y. H., “Genetic algorithm for assembly line balancing with various objectives,” Computers and Industrial Engineering, Vol. 30, No. 3, pp.397-409, 1996.
[11] Lazzerini, B. and Marcelloni, F., “A genetic algorithm for generating optimal assembly plans,” Artificial Intelligence in Engineering, Vol. 14, pp.319-329, 2000.
[12] White, R. E., Pearson J. N., and Wilson, J. R., “JIT manufacturing: A survey of implementations in small and large U.S. manufacturers,” Management Science, Vol. 45, No. 1, pp.1-15, 1999.

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