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Using LSS to improve the efficiency and quality of a refund process in a logistics center

Lee, Kuo-liang; Tai, Cheng-Ting; Sheen, Gwo-Ji - In: International Journal of Lean Six Sigma 4 (2013) 4, pp. 409-424

Purpose – This study aims to demonstrate a service quality improvement project implemented by the Lean Six Sigma (LSS) methodology to achieve dramatic improvements with respect to service quality and speed in the refund process of the logistics center in Amway Company, Taiwan. It describes in...

Persistent link: https://www.econbiz.de/10014782671

A multi-item supply chain with credit periods and weight freight cost discounts

Tsao, Yu-chung; Sheen, Gwo-ji - In: International journal of production economics 135 (2011) 1, pp. 106-115

Persistent link: https://www.econbiz.de/10009389119

Effects of promotion cost sharing policy with the sales learning curve on supply chain coordination

Tsao, Yu-chung; Sheen, Gwo-ji - In: Computers & operations research : and their … 39 (2012) 8, pp. 1872-1878

Persistent link: https://www.econbiz.de/10009503347

Dynamic pricing, promotion and replenishment policies for a deteriorating item under permissible delay in payments

Tsao, Yu-Chung; Sheen, Gwo-Ji - In: Computers & operations research : and their … 35 (2008) 11, pp. 3562-3580

Persistent link: https://www.econbiz.de/10003722314

Parallel machine scheduling with machine availability and eligibility constraints

Liao, Lu-wen; Sheen, Gwo-ji - In: European journal of operational research : EJOR 184 (2008) 2, pp. 458-467

Persistent link: https://www.econbiz.de/10003768268

Using Six Sigma to improve replenishment process in a direct selling company

Wei, Chun-chin; Sheen, Gwo-ji; Tai, Cheng-ting; Lee, … - In: Supply chain management : an international journal 15 (2010) 1, pp. 3-9

Persistent link: https://www.econbiz.de/10003941533

Optimal parallel machines scheduling with machine availability and eligibility constraints

Sheen, Gwo-Ji; Liao, Lu-Wen; Lin, Cheng-Feng - In: The international journal of advanced manufacturing … 36 (2008) 1/2, pp. 132-139

Persistent link: https://www.econbiz.de/10003683678