Search Results - subject:"Flow time"

A batch scheduling model on unrelated parallel machines with resource constraints and sequence-dependent setup time to minimize total actual flow time

Yusriski, Rinto; Nasution, Andri Rachmat Kumalasian; … - In: Journal of industrial engineering and management : JIEM 19 (2026) 1, pp. 58-81

Findings: The proposed algorithm achieves an average efficiency of 99.32% compared to the enumeration algorithm, with minimal deviation (0.4%). The results validate the main proposition for efficient scheduling, including prioritizing jobs based on due dates, allocating job demands based on...

Persistent link: https://www.econbiz.de/10015627286

A flow shop batch scheduling model with pre-processing and time-changing effects to minimize total actual flow time

Kurniawan, Dwi; Yusriski, Rinto; Isnaini, Mohammad Mi'radj - In: Journal of industrial engineering and management : JIEM 17 (2024) 2, pp. 542-561

-processings, batch sizes, and the schedule of processes and pre-processings to minimize total actual flow time. Different numbers of … faster operator learning led to a lower optimal number of batches and a lower total actual flow time, (2) A faster part … deterioration brought a higher number of batches and a higher total actual flow time, (3) The model minimized the number of pre …

Persistent link: https://www.econbiz.de/10015375605

Mathematical programming formulations for the berth allocation problems in container seaport terminals

Aljuaid, Awad M.; Koubâa, Mayssa; Ammar, Mohamed Haykal; … - In: Logistics 8 (2024) 2, pp. 1-17

Background: Improving the performance of marine terminals is one of the major concerns of both researchers and decision-makers in the maritime transportation sector. The problem of container storage planning and the berth allocation problem (BAP) are the two mainstays of optimizing port...

Persistent link: https://www.econbiz.de/10014631272

An asymptotically optimal solution for the minimization of the variation of job completion times in two-stage proportionate no-wait flow shops

Panwalkar, Shrikant; Koulamas, Christos - In: Journal of the Operational Research Society 76 (2025) 1, pp. 131-136

Persistent link: https://www.econbiz.de/10015188956

Historical information based iterated greedy algorithm for distributed flowshop group scheduling problem with sequence-dependent setup times

He, Xuan; Pan, Quan Ke; Gao, Liang; Neufeld, Janis S.; … - In: Omega : the international journal of management science 123 (2024), pp. 1-19

Persistent link: https://www.econbiz.de/10014533383

A flow shop batch scheduling and operator assignment model with time-changing effects of learning and forgetting to minimize total actual flow time

Kurniawan, Dwi; Cakravastia, Andi; Suprayogi, Suprayogi; … - In: Journal of industrial engineering and management : JIEM 13 (2020) 3, pp. 546-564

Persistent link: https://www.econbiz.de/10012421529

A flow shop batch scheduling and operator assignment model with time-changing effects of learning and forgetting to minimize total actual flow time

Kurniawan, Dwi; Cakravastia, Andi; Suprayogi, Suprayogi; … - In: Journal of Industrial Engineering and Management (JIEM) 13 (2020) 3, pp. 546-564

Persistent link: https://www.econbiz.de/10013326218

Complexity of flow time minimization in a crossdock truck scheduling problem with asymmetric handover relations

Fabry, Quentin; Agnetis, Alessandro; Berghman, Lotte; … - In: Operations research letters 50 (2022) 1, pp. 50-56

Persistent link: https://www.econbiz.de/10013177164

Distributionally robust scheduling algorithms for total flow time minimization on parallel machines using norm regularizations

Novak, Antonin; Gnatowski, Andrzej; Sucha, Premysl - In: European journal of operational research : EJOR 302 (2022) 2, pp. 438-455

Persistent link: https://www.econbiz.de/10013269808

New results for minimising variation of flow time in two-machine proportionate no-wait flow shops

Panwalkar, S. S.; Koulamas, Christos - In: International journal of production research 59 (2021) 9, pp. 2789-2799

Persistent link: https://www.econbiz.de/10012516259