Applications of learning curves in production and operations management: A systematic literature review

CH Glock, EH Grosse, MY Jaber, TL Smunt - Computers & Industrial …, 2019 - Elsevier
The occurrence and characteristics of human learning and forgetting are extensively
researched in many fields. Thus, the literature on learning curves is abundant. Within …

A concise guide to scheduling with learning and deteriorating effects

J Pei, Y Zhou, P Yan, PM Pardalos - International Journal of …, 2023 - Taylor & Francis
In practical manufacturing systems, the job processing time usually varies with the
performance change of manufacturing resources, among which the learning and …

Research on two-machine flow shop scheduling problem with release dates and truncated learning effects

DY Lv, JB Wang - Engineering Optimization, 2024 - Taylor & Francis
In this article, a two-machine flow shop scheduling problem with release dates and truncated
learning effects is studied. The objective is to find a sequence such that the total completion …

The online integrated order picking and delivery considering Pickers' learning effects for an O2O community supermarket

J Zhang, F Liu, J Tang, Y Li - Transportation Research Part E: Logistics and …, 2019 - Elsevier
The online-to-offline (O2O) community supermarket is currently a popular O2O business
model in China. Owing to the small lot-size, high frequency, time-sensitive, and dynamic …

Manufacturing cost estimation based on a deep-learning method

F Ning, Y Shi, M Cai, W Xu, X Zhang - Journal of Manufacturing Systems, 2020 - Elsevier
In the era of the mass customisation, rapid and accurate estimation of the manufacturing cost
of different parts can improve the competitiveness of a product. Owing to the ever-changing …

A multi-objective optimization algorithm for flow shop group scheduling problem with sequence dependent setup time and worker learning

DN Sekkal, F Belkaid - Expert Systems with Applications, 2023 - Elsevier
The optimization of production systems has become increasingly important in manufacturing
industries due to the growing competition and market demands. One of the overriding …

A combinatorial evolutionary algorithm for unrelated parallel machine scheduling problem with sequence and machine-dependent setup times, limited worker …

L Zhang, Q Deng, R Lin, G Gong, W Han - Expert Systems with Applications, 2021 - Elsevier
The existing papers on unrelated parallel machine scheduling problem with sequence and
machine-dependent setup times (UPMSP-SMDST) ignore the worker resources and …

An effective heuristic based on 3-opt strategy for seru scheduling problems with learning effect

Z Zhang, X Song, X Gong, Y Yin, B Lev… - International Journal of …, 2023 - Taylor & Francis
This paper is concerned with the scheduling problem in a new-type seru production system
by consideration of DeJong's learning effect to minimise the total weighted completion time …

Hybrid optimization and discrete-event simulation model to reduce waiting times in a primary health center

JI Vázquez-Serrano, LE Cárdenas-Barrón… - Expert Systems with …, 2024 - Elsevier
In the early stages of health attention, such as in the examination rooms, patients are
generally treated using a First In First Treat (FIFT) logic. This treatment style is inefficient from …

Manufacturing cost estimation based on the machining process and deep-learning method

F Ning, Y Shi, M Cai, W Xu, X Zhang - Journal of Manufacturing Systems, 2020 - Elsevier
With the extensive application of mass customization, fast and accurate responses to
customer inquiries can not only improve the competitive advantage of an enterprise but also …