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Engineering Optimization Volume 49, 2017 - Issue 8
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Original Articles

Single-machine common/slack due window assignment problems with linear decreasing processing times

Xingong ZhangCollege of Mathematics Science, Chongqing Normal University, Chongqing, PR ChinaView further author information
,
Win-Chin LinDepartment of Statistics, Feng Chia University, Taichung, TaiwanView further author information
,
Wen-Hsiang WuDepartment of Healthcare Management, Yuanpei University, Hsinchu, TaiwanView further author information
&
Chin-Chia WuDepartment of Statistics, Feng Chia University, Taichung, TaiwanCorrespondence[email protected]
View further author information
Pages 1388-1400 | Received 14 Aug 2016, Accepted 08 Oct 2016, Published online: 10 Nov 2016

Citations (15)

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Mengzhuo Bai & Yufang Zhao. (2020) A fully polynomial-time approximation scheme for total completion time minimization on a single machine with DeJong's learning effect and an availability constraint. Engineering Optimization 52:8, pages 1313-1322.
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Chin-Chia Wu, Danyu Bai, Ameni Azzouz, I.-Hong Chung, Shuenn-Ren Cheng, Dwueng-Chwuan Jhwueng, Win-Chin Lin & Lamjed Ben Said. (2020) A branch-and-bound algorithm and four metaheuristics for minimizing total completion time for a two-stage assembly flow-shop scheduling problem with learning consideration. Engineering Optimization 52:6, pages 1009-1036.
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Hui-Bin Shi & Ji-Bo Wang. (2020) Research on common due window assignment flowshop scheduling with learning effect and resource allocation. Engineering Optimization 52:4, pages 669-686.
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Chuanli Zhao & Chou-Jung Hsu. (2019) Fully polynomial-time approximation scheme for single machine scheduling with proportional-linear deteriorating jobs. Engineering Optimization 51:11, pages 1938-1943.
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Tsuiping Chung, Jatinder N. D. Gupta & Meng Qiu. (2019) Single machine scheduling problem with batch setups involving positional deterioration effects and multiple rate-modifying activities. Engineering Optimization 51:10, pages 1743-1760.
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Baruch Mor. (2019) Single-machine minmax common due-window assignment and scheduling problems with convex resource allocation. Engineering Optimization 51:7, pages 1251-1267.
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Xingong Zhang, Wen-Hsiang Wu, Win-Chin Lin & Chin-Chia Wu. (2018) Machine scheduling problems under deteriorating effects and deteriorating rate-modifying activities. Journal of the Operational Research Society 69:3, pages 439-448.
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Articles from other publishers (8)

Xinyu Sun, Tao Liu, Xin-Na Geng, Yang Hu & Jing-Xiao Xu. (2022) Optimization of scheduling problems with deterioration effects and an optional maintenance activity. Journal of Scheduling 26:3, pages 251-266.
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Weiguo Liu, Xuyin Wang, Lu Li & Peizhen Zhao. (2022) A maintenance activity scheduling with time-and-position dependent deteriorating effects. Mathematical Biosciences and Engineering 19:11, pages 11756-11767.
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Qing Yue & Shenghai Zhou. (2021) Due-window assignment scheduling problem with stochastic processing times. European Journal of Operational Research 290:2, pages 453-468.
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Li-Yan Wang, Xue Huang, Wei-Wei Liu, Yu-Bin Wu & Ji-Bo Wang. (2021) Scheduling with position-dependent weights, due-date assignment and past-sequence-dependent setup times. RAIRO - Operations Research 55, pages S2747-S2758.
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Gustavo Alencar Rolim & Marcelo Seido Nagano. (2020) Structural properties and algorithms for earliness and tardiness scheduling against common due dates and windows: A review. Computers & Industrial Engineering 149, pages 106803.
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Baruch Mor. (2020) A unified approach for single machine scheduling with position-dependent workloads and positional penalties. SN Applied Sciences 2:2.
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Shih-Wei Lin, Kuo-Ching Ying, Wen-Jie Wu & Chen-Yang Cheng. (2019) Single Machine Job Sequencing With a Restricted Common Due Window. IEEE Access 7, pages 148741-148755.
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Xingong Zhang, Win-Chin Lin, Chou-Jung Hsu & Chin-Chia Wu. (2017) Resource constrained scheduling problems with general truncated sum-of-processing time dependent effect under single machine and unrelated parallel machines. Computers & Industrial Engineering 110, pages 344-352.
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