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Fast approximation algorithms to minimize a special weighted flow-time criterion on a single machine with a non-availability interval and release dates

Kacem, Imed; Kellerer, Hans - In: Journal of scheduling 14 (2011) 3, pp. 257-265

Persistent link: https://www.econbiz.de/10009242303

Approximation algorithms for single machine scheduling with one unavailability period

Kacem, Imed; Haouari, Mohamed - In: 4OR : a quarterly journal of operations research 7 (2009) 1, pp. 79-92

Persistent link: https://www.econbiz.de/10003824827

New trends in multiobjective optimization techniques and applications

Kacem, Imed (ed.); La Torre, Davide (ed.); Masri, Hatem (ed.) - 2021

Persistent link: https://www.econbiz.de/10012414944

New trends on combinatorial optimization for network and logistical applications

Kellerer, Hans; Mahjoub, Ali Ridha - 2021

Persistent link: https://www.econbiz.de/10012434783

Solving a tactical operating room planning problem by a column-generation-based heuristic procedure with four criteria

Fei, H.; Chu, Chengbin; Artiba-Meskens, Nadine - 2009

Persistent link: https://www.econbiz.de/10003811737

A polynomial-time heuristic for the quay crane double-cycling problem with internal-reshuffling operations

Liu, Ming; Chu, Feng; Zhang, Zizhen; Chu, Chengbin - In: Transportation research / E : an international journal 81 (2015), pp. 52-74

Persistent link: https://www.econbiz.de/10011373991

Heuristic Procedures for Minimizing Makespan and the Number of Required Pallets

Chu, Chengbin - 2017

A heuristic procedure is developed for minimizing makespan in flow-shop scheduling problems. In comparison with current algorithms, our algorithm seems to result in an improved makespan with a small additional computational effort. An algorithm is also developed to minimize the required number...

Persistent link: https://www.econbiz.de/10012746785

Recent advances and opportunties in sustainable food supply chain : a model-oriented review

Zhu, Zhanguo; Chu, Feng; Dolgui, Alexandre; Chu, Chengbin; … - In: International journal of production research 56 (2018) 17, pp. 5700-5722

Persistent link: https://www.econbiz.de/10011946073