Flow shop scheduling problems with assembly operations: a review and new trends-Reference-Cited by-同舟云学术

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Flow shop scheduling problems with assembly operations: a review and new trends

Published:2018-12-06 Issue:10 Volume:57 Page:2926-2955
ISSN:0020-7543
Container-title:International Journal of Production Research
language:en
Short-container-title:International Journal of Production Research

Author:

Komaki G. M.¹,Sheikh Shaya²^ORCID,Malakooti Behnam³

Affiliation:

1. Department of Marketing and Business Analytics, College of Business, Texas A&M University-Commerce, Commerce, TX, USA

2. Department of Management, School of Management, New York Institute of Technology, New York, NY, USA

3. System Engineering, Electrical Engineering and Computer Science Department, Case Western Reserve University, Cleveland, OH, USA

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207543.2018.1550269

Reference149 articles.

1. A self-adaptive differential evolution heuristic for two-stage assembly scheduling problem to minimize maximum lateness with setup times

2. Heuristics for a two-stage assembly flowshop with bicriteria of maximum lateness and makespan

3. An artificial immune system heuristic for two-stage multi-machine assembly scheduling problem to minimize total completion time

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1. A multi-level action coupling reinforcement learning approach for online two-stage flexible assembly flow shop scheduling;Journal of Manufacturing Systems;2024-10

2. Modeling and scheduling a triply-constrained flow shop in biomanufacturing systems;Journal of Manufacturing Systems;2024-10

3. BIM-Based and IoT-Driven Smart Tracking for Precast Construction Dynamic Scheduling;Journal of Construction Engineering and Management;2024-09

4. An effective two-stage heuristic for scheduling the distributed assembly flowshops with sequence dependent setup times;Computers & Operations Research;2024-09

5. Integrating MILP, Discrete-Event Simulation, and Data-Driven Models for Distributed Flow Shop Scheduling Using Benders Cuts;Processes;2024-08-21

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