Results 1 to 10 of about 84,491 (259)

Bio-Inspired Reactive Approaches for Automated Guided Vehicle Path Planning: A Review. [PDF]

Biomimetics (Basel)
Lin S, Wang J, Kong X.
europepmc   +1 more source

Integrated ERP lean model for quality enhancement and operational excellence in SME based automotive mould manufacturing. [PDF]

Sci Rep
Bhaskar A, Devaraju A.
europepmc   +1 more source

Multiobjective flow-shop scheduling

Naval Research Logistics, 1990
Summary: Previous research on the scheduling of multimachine systems has generally focused on the optimization of individual performance measures. This article considers the sequencing of jobs through a multimachine flow shop, where the quality of the resulting schedule is evaluated according to the associted levels of two scheduling criteria, schedule
Daniels, Richard L., Chambers, Robert J.
openaire   +2 more sources

Scheduling flow shops with operators

International Journal of Production Research, 2018
This paper addresses the problem of assigning a number of operators, less than the number of machines, in a flow shop environment. We study two different problems. The first is the assignment of operators subject to a fixed job sequence; the second is on handling simultaneously the assignment of operators and the scheduling of jobs on the machines.
Imène Benkalai, Djamal Rebaine, Pierre Baptiste   +2 more
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Proportionate Flow Shop Scheduling with Rejection

Asia-Pacific Journal of Operational Research, 2017
We consider the problem of scheduling [Formula: see text] jobs with rejection on a set of [Formula: see text] machines in a proportionate flow shop system where the job processing times are machine-independent. The goal is to find a schedule to minimize the scheduling cost of all accepted jobs plus the total penalty of all rejected jobs.
Shi-Sheng Li, De-Liang Qian, Ren-Xia Chen   +2 more
openaire   +2 more sources

Flow Shop Scheduling with Resource Flexibility

Operations Research, 1994
This paper explores the improvements in manufacturing efficiency that can be achieved by broadening the scope of production scheduling to include both the sequencing of work and the coordination of the resource inputs required to perform work. Recognizing that some resources are inherently flexible and thus can be reassigned dynamically to processing ...
Richard L. Daniels, Joseph B. Mazzola
openaire   +1 more source

Analysis of flow shop scheduling anomalies

European Journal of Operational Research, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
S. S. Panwalkar, Christos Koulamas
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FLOW SHOP SCHEDULING WITH REINFORCEMENT LEARNING

Asia-Pacific Journal of Operational Research, 2013
Reinforcement learning (RL) is a state or action value based machine learning method which solves large-scale multi-stage decision problems such as Markov Decision Process (MDP) and Semi-Markov Decision Process (SMDP) problems. We minimize the makespan of flow shop scheduling problems with an RL algorithm. We convert flow shop scheduling problems into
ZHICONG ZHANG, WEIPING WANG, SHOUYAN ZHONG, KAISHUN HU   +3 more
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Proportionate flow-shop scheduling with rejection

Journal of the Operational Research Society, 2016
In many heavily loaded manufacturing systems, managers routinely make use of outsourcing options in order to maintain reasonable Quality of Service for customers. Thus, there is a strong need to provide tools for managers to economically coordinate sourcing and scheduling decisions.
Dvir Shabtay, Daniel Oron
openaire   +1 more source

Flow-shop scheduling with a learning effect

Journal of the Operational Research Society, 2005
The paper is devoted to some flow-shop scheduling problems with a learning effect. The objective is to minimize one of the two regular performance criteria, namely, makespan and total flowtime. A heuristic algorithm with worst-case bound m for each criteria is given, where m is the number of machines. Furthermore, a polynomial algorithm is proposed for
Ji-Bo Wang, Z.-Q. Xia
openaire   +1 more source