Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Parameters Affecting Nonlinear Elimination: Zero-Order Input, First-Order Absorption and Two-Compartment Model01:13

Parameters Affecting Nonlinear Elimination: Zero-Order Input, First-Order Absorption and Two-Compartment Model

67
Drugs administered through various routes can lead to nonlinear elimination, resulting in complex pharmacokinetic behaviors crucial to understanding efficacious drug dosing.
When a drug is administered through a constant intravenous infusion and eliminated via nonlinear pharmacokinetics, it follows zero-order input. For example, oral drugs undergo first-order absorption upon administration and are eliminated through nonlinear pharmacokinetics.
In the case of subcutaneously administered drugs,...
67
Constraints and Statical Determinacy01:26

Constraints and Statical Determinacy

608
In structural engineering, the equilibrium of a system is not only determined by its equations of equilibrium but also with the help of constraints. Constraints refer to restrictions on the motion of a system. The proper combinations of constraints can minimize the total number of constraints needed to maintain a system in mechanical equilibrium. When this happens, the system is said to be statically determinate. For such systems, the unknown reaction supports can be estimated using equilibrium...
608
Drug Distribution as One-Compartment Model and Elimination by Nonlinear Pharmacokinetics: Overview01:25

Drug Distribution as One-Compartment Model and Elimination by Nonlinear Pharmacokinetics: Overview

71
Drug administration can occur through various routes, each of which may result in a different process of elimination. This process is often mixed with nonlinear and linear processes. It's important to understand that a single drug can be metabolized into different metabolites through parallel processes.
For instance, consider the metabolism of sodium salicylate. This compound is metabolized into two distinct substances: a glucuronide and a glycine conjugate. The rate of conjugation depends...
71
Probability Laws01:49

Probability Laws

40.9K
Overview
40.9K
Reinforcement Schedules01:24

Reinforcement Schedules

148
Positive reinforcement is a powerful method for teaching new behaviors to both animals and humans. B.F. Skinner demonstrated this with his experiments using rats in a Skinner box. When a rat pressed a lever, it received a food pellet. This immediate reward encouraged the rat to repeat the behavior. This method, where a reward follows every instance of the behavior, is known as continuous reinforcement. It is highly effective for establishing new behaviors quickly.
Once a behavior is learned,...
148
Diels–Alder Reaction Forming Bridged Bicyclic Products: Stereochemistry01:29

Diels–Alder Reaction Forming Bridged Bicyclic Products: Stereochemistry

4.6K
Diels–Alder reactions between cyclic dienes locked in an s-cis configuration and dienophiles yield bridged bicyclic products.
4.6K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

The impact of maternal anemia and vitamin D deficiency on neonatal outcomes: A retrospective study from a medical center in northern taiwan.

Taiwanese journal of obstetrics & gynecology·2026
Same author

Spleen-tonifying formula alleviates social deficits, gut dysbiosis, and hypomyelination in a perinatal injury model.

Pediatrics and neonatology·2026
Same author

Author Correction: Extracellular vesicles incorporating retrovirus-like capsids for the enhanced packaging and systemic delivery of mRNA into neurons.

Nature biomedical engineering·2026
Same author

Selective Defect Engineering for Gate-Controlled yet Contact-Transparent Bi<sub>2</sub>O<sub>2</sub>Se Transistors.

ACS nano·2026
Same author

Insights into the role of the shock index and its derivatives in triage.

Tzu chi medical journal·2026
Same author

Mono(2-ethylhexyl) phthalate modulates bone marrow-derived APCs and exacerbates allergic lung inflammation <i>via</i> PPARγ-dependent pro-inflammatory signaling.

Immunopharmacology and immunotoxicology·2026

Related Experiment Video

Updated: Jul 6, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

575

A bi-criterion sequence-dependent scheduling problem with order deliveries.

Jian-You Xu1, Win-Chin Lin2, Kai-Xiang Hu2

  • 1College of Information Science and Engineering, Northeastern University, Shenyang, China.

Peerj. Computer Science
|January 10, 2024
PubMed
Summary
This summary is machine-generated.

This study optimizes manufacturing production scheduling by developing new algorithms to minimize makespan and weighted completion times, considering sequence-dependent setup times for improved efficiency.

Keywords:
Bi-criterionBranch-and-boundCustomer order schedulingGenetic algorithmMakespanSchedulingSequence-dependentSetup timeSingle-machineWeighted completion times

More Related Videos

RBDT: A Computerized Task System based in Transposition for the Continuous Analysis of Relational Behavior Dynamics in Humans
11:09

RBDT: A Computerized Task System based in Transposition for the Continuous Analysis of Relational Behavior Dynamics in Humans

Published on: July 17, 2021

3.0K
BEST: Barcode Enabled Sequencing of Tetrads
12:59

BEST: Barcode Enabled Sequencing of Tetrads

Published on: May 1, 2014

10.1K

Related Experiment Videos

Last Updated: Jul 6, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

575
RBDT: A Computerized Task System based in Transposition for the Continuous Analysis of Relational Behavior Dynamics in Humans
11:09

RBDT: A Computerized Task System based in Transposition for the Continuous Analysis of Relational Behavior Dynamics in Humans

Published on: July 17, 2021

3.0K
BEST: Barcode Enabled Sequencing of Tetrads
12:59

BEST: Barcode Enabled Sequencing of Tetrads

Published on: May 1, 2014

10.1K

Area of Science:

  • Operations Research
  • Manufacturing Systems Engineering
  • Computational Optimization

Background:

  • Manufacturing faces challenges like competition and customization, necessitating optimized production scheduling.
  • Production scheduling is complex, especially with sequence-dependent setup times, often overlooked in prior research.
  • Existing customer order scheduling studies frequently neglect the impact of setup times.

Purpose of the Study:

  • To address a sequence-dependent, bi-criterion scheduling problem incorporating order delivery.
  • To minimize a combined objective function of makespan and total weighted completion times.
  • To develop exact and approximate algorithms for complex manufacturing scheduling.

Main Methods:

  • A branch-and-bound methodology with dominance rules and lower bounds for exact solutions.
  • A tailored heuristic approach with three refined variants for approximate solutions.
  • A genetic algorithm utilizing refined heuristic solutions as initial populations for robust results.

Main Results:

  • The study proposes and evaluates exact and heuristic algorithms for a complex scheduling problem.
  • Simulation trials are conducted to assess the performance and efficacy of the developed algorithms.
  • The research provides a framework for optimizing production schedules with sequence-dependent setup times.

Conclusions:

  • The developed algorithms offer effective solutions for sequence-dependent, bi-criterion production scheduling.
  • The integration of setup times and delivery considerations enhances scheduling realism and efficiency.
  • This research contributes valuable methodologies for tackling intricate manufacturing optimization challenges.