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Minimizing the total tardiness and makespan in an open shop scheduling problem with sequence-dependent setup times

Noori-Darvish, Samaneh; Tavakkoli-Moghaddam, Reza - In: Journal of industrial engineering international 8 (2012), pp. 1-13

machine. A novel bi-objective mathematical programming is designed in order to minimize the total tardiness and the makespan …

Persistent link: https://www.econbiz.de/10009758826

MILP models and valid inequalities for the two-machine permutation flowshop scheduling problem with minimal time lags

Hamdi, Imen; Toumi, Saïd - In: Journal of industrial engineering international 15 (2019), pp. 223-229

In this paper, we consider the problem of scheduling on two-machine permutation flowshop with minimal time lags between consecutive operations of each job. The aim is to find a feasible schedule that minimizes the total tardiness. This problem is known to be NP-hard in the strong sense. We...

Persistent link: https://www.econbiz.de/10012164656

An integrated approach for scheduling flexible job-shop using teaching-learning-based optimization method

Buddala, Raviteja; Mahapatra, Siba Sankar - In: Journal of industrial engineering international 15 (2019) 1, pp. 181-192

(FJSP) based on the integrated approach with an objective to minimize makespan. An FJSP is an extension of basic job … to other meta-heuristics. Therefore, it can be considered as an efficient algorithm. As best student of the class is … loss in diversity in the population. So, like many meta-heuristics, TLBO also has a tendency to get trapped at the local …

Persistent link: https://www.econbiz.de/10012020105

A three-stage assembly flow shop scheduling problem with blocking and sequence-dependent set up times

Maleki-Darounkolaei, Aref; Modiri, Mahmoud; … - In: Journal of industrial engineering international 8 (2012), pp. 1-7

first stage and blocking times between each stage in such a way that the weighted mean completion time and makespan are …

Persistent link: https://www.econbiz.de/10009758825

A new metaheuristic genetic-based placement algorithm for 2D strip packing

Thomas, Jaya; Chaudhari, Narendra S. - In: Journal of industrial engineering international 10 (2014), pp. 1-16

Given a container of fixed width, infinite height and a set of rectangular block, the 2D-strip packing problem consists of orthogonally placing all the rectangles such that the height is minimized. The position is subject to confinement of no overlapping of blocks. The problem is a complex...

Persistent link: https://www.econbiz.de/10011556427

A novel hybrid genetic algorithm to solve the make-to-order sequence-dependent flow-shop scheduling problem

Mirabi, Mohammad; Fatemi Ghomi, S. M. T.; Jolai, F. - In: Journal of industrial engineering international 10 (2014), pp. 1-9

developed heuristics and computational experimental results show that the proposed HGA performs very competitively with respect …

Persistent link: https://www.econbiz.de/10011556480

Solving the flexible job shop problem by hybrid metaheuristics-based multiagent model

Nouri, Houssem Eddine; Driss, Olfa Belkahla; Ghédira, … - In: Journal of industrial engineering international 14 (2018) 1, pp. 1-14

The flexible job shop scheduling problem (FJSP) is a generalization of the classical job shop scheduling problem that allows to process operations on one machine out of a set of alternative machines. The FJSP is an NP-hard problem consisting of two sub-problems, which are the assignment and the...

Persistent link: https://www.econbiz.de/10011826023

Two phase genetic algorithm for vehicle routing and scheduling problem with cross-docking and time windows considering customer satisfaction

Baniamerian, Ali; Bashiri, Mahdi; Zabihi, Fahime - In: Journal of industrial engineering international 14 (2018) 1, pp. 15-30

Cross-docking is a new warehousing policy in logistics which is widely used all over the world and attracts many researchers attention to study about in last decade. In the literature, economic aspects has been often studied, while one of the most significant factors for being successful in the...

Persistent link: https://www.econbiz.de/10011826027

Locomotive assignment problem with train precedence using genetic algorithm

Noori, Siamak; Ghannadpour, Seyed - In: Journal of industrial engineering international 8 (2012), pp. 1-13

algorithm, various heuristics and efficient operators are used in the evolutionary search. The suggested algorithm is applied to …

Persistent link: https://www.econbiz.de/10009740509

Optimisation of assembly scheduling in VCIM systems using genetic algorithm

Dao, Son Duy; Abhary, Kazem; Marian, Romeo - In: Journal of industrial engineering international 13 (2017) 2, pp. 275-296

Assembly plays an important role in any production system as it constitutes a significant portion of the lead time and cost of a product. Virtual computer-integrated manufacturing (VCIM) system is a modern production system being conceptually developed to extend the application of traditional...

Persistent link: https://www.econbiz.de/10011765257