Integrated Distributed Production and Distribution Problem for Minimizing Earliness and Tardiness Penalty

Yushuang Hou; Yaping Fu; Mengchu Zhou; Xiwang Guo; Liang Qi

doi:10.1109/ICNSC52481.2021.9702229

Integrated Distributed Production and Distribution Problem for Minimizing Earliness and Tardiness Penalty

Yushuang Hou, Yaping Fu, Mengchu Zhou, Xiwang Guo, Liang Qi

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Production and distribution play essential roles in a supply chain. How to integrate them for overall high performance has become an important problem in academia and industry. This work proposes an intelligent optimization method to solve an Integrated Distributed Production and Distribution problem with Time-windows (IDPDT). We need to assign the jobs among flow shops and deliver the products by vehicles to customers within required time windows. Accordingly, a mathematical programming model is built to minimize total weighted earliness and tardiness and an improved brainstorm optimization algorithm is developed by fully considering problem characteristics. Through a comparison with a memetic algorithm, the experiment results indicate that the developed approach is effective in handling the investigated problem.

Original language	English (US)
Title of host publication	ICNSC 2021 - 18th IEEE International Conference on Networking, Sensing and Control
Subtitle of host publication	Industry 4.0 and AI
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665440486
DOIs	https://doi.org/10.1109/ICNSC52481.2021.9702229
State	Published - 2021
Event	18th IEEE International Conference on Networking, Sensing and Control, ICNSC 2021 - Xiamen, China Duration: Dec 3 2021 → Dec 5 2021

Publication series

Name	ICNSC 2021 - 18th IEEE International Conference on Networking, Sensing and Control: Industry 4.0 and AI

Conference

Conference	18th IEEE International Conference on Networking, Sensing and Control, ICNSC 2021
Country/Territory	China
City	Xiamen
Period	12/3/21 → 12/5/21

All Science Journal Classification (ASJC) codes

Artificial Intelligence
Computer Networks and Communications
Statistics, Probability and Uncertainty
Control and Optimization
Sensory Systems

Keywords

brainstorm optimization
distributed flow shop problem
integrated scheduling
vehicle routing problem

Access to Document

10.1109/ICNSC52481.2021.9702229

Cite this

Hou, Y., Fu, Y., Zhou, M., Guo, X., & Qi, L. (2021). Integrated Distributed Production and Distribution Problem for Minimizing Earliness and Tardiness Penalty. In ICNSC 2021 - 18th IEEE International Conference on Networking, Sensing and Control: Industry 4.0 and AI (ICNSC 2021 - 18th IEEE International Conference on Networking, Sensing and Control: Industry 4.0 and AI). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICNSC52481.2021.9702229

Hou, Yushuang ; Fu, Yaping ; Zhou, Mengchu et al. / Integrated Distributed Production and Distribution Problem for Minimizing Earliness and Tardiness Penalty. ICNSC 2021 - 18th IEEE International Conference on Networking, Sensing and Control: Industry 4.0 and AI. Institute of Electrical and Electronics Engineers Inc., 2021. (ICNSC 2021 - 18th IEEE International Conference on Networking, Sensing and Control: Industry 4.0 and AI).

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abstract = "Production and distribution play essential roles in a supply chain. How to integrate them for overall high performance has become an important problem in academia and industry. This work proposes an intelligent optimization method to solve an Integrated Distributed Production and Distribution problem with Time-windows (IDPDT). We need to assign the jobs among flow shops and deliver the products by vehicles to customers within required time windows. Accordingly, a mathematical programming model is built to minimize total weighted earliness and tardiness and an improved brainstorm optimization algorithm is developed by fully considering problem characteristics. Through a comparison with a memetic algorithm, the experiment results indicate that the developed approach is effective in handling the investigated problem.",

keywords = "brainstorm optimization, distributed flow shop problem, integrated scheduling, vehicle routing problem",

author = "Yushuang Hou and Yaping Fu and Mengchu Zhou and Xiwang Guo and Liang Qi",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 18th IEEE International Conference on Networking, Sensing and Control, ICNSC 2021 ; Conference date: 03-12-2021 Through 05-12-2021",

year = "2021",

doi = "10.1109/ICNSC52481.2021.9702229",

language = "English (US)",

series = "ICNSC 2021 - 18th IEEE International Conference on Networking, Sensing and Control: Industry 4.0 and AI",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "ICNSC 2021 - 18th IEEE International Conference on Networking, Sensing and Control",

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Hou, Y, Fu, Y, Zhou, M, Guo, X & Qi, L 2021, Integrated Distributed Production and Distribution Problem for Minimizing Earliness and Tardiness Penalty. in ICNSC 2021 - 18th IEEE International Conference on Networking, Sensing and Control: Industry 4.0 and AI. ICNSC 2021 - 18th IEEE International Conference on Networking, Sensing and Control: Industry 4.0 and AI, Institute of Electrical and Electronics Engineers Inc., 18th IEEE International Conference on Networking, Sensing and Control, ICNSC 2021, Xiamen, China, 12/3/21. https://doi.org/10.1109/ICNSC52481.2021.9702229

Integrated Distributed Production and Distribution Problem for Minimizing Earliness and Tardiness Penalty. / Hou, Yushuang; Fu, Yaping; Zhou, Mengchu et al.
ICNSC 2021 - 18th IEEE International Conference on Networking, Sensing and Control: Industry 4.0 and AI. Institute of Electrical and Electronics Engineers Inc., 2021. (ICNSC 2021 - 18th IEEE International Conference on Networking, Sensing and Control: Industry 4.0 and AI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Integrated Distributed Production and Distribution Problem for Minimizing Earliness and Tardiness Penalty

AU - Hou, Yushuang

AU - Fu, Yaping

AU - Zhou, Mengchu

AU - Guo, Xiwang

AU - Qi, Liang

PY - 2021

Y1 - 2021

N2 - Production and distribution play essential roles in a supply chain. How to integrate them for overall high performance has become an important problem in academia and industry. This work proposes an intelligent optimization method to solve an Integrated Distributed Production and Distribution problem with Time-windows (IDPDT). We need to assign the jobs among flow shops and deliver the products by vehicles to customers within required time windows. Accordingly, a mathematical programming model is built to minimize total weighted earliness and tardiness and an improved brainstorm optimization algorithm is developed by fully considering problem characteristics. Through a comparison with a memetic algorithm, the experiment results indicate that the developed approach is effective in handling the investigated problem.

AB - Production and distribution play essential roles in a supply chain. How to integrate them for overall high performance has become an important problem in academia and industry. This work proposes an intelligent optimization method to solve an Integrated Distributed Production and Distribution problem with Time-windows (IDPDT). We need to assign the jobs among flow shops and deliver the products by vehicles to customers within required time windows. Accordingly, a mathematical programming model is built to minimize total weighted earliness and tardiness and an improved brainstorm optimization algorithm is developed by fully considering problem characteristics. Through a comparison with a memetic algorithm, the experiment results indicate that the developed approach is effective in handling the investigated problem.

KW - brainstorm optimization

KW - distributed flow shop problem

KW - integrated scheduling

KW - vehicle routing problem

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M3 - Conference contribution

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T3 - ICNSC 2021 - 18th IEEE International Conference on Networking, Sensing and Control: Industry 4.0 and AI

BT - ICNSC 2021 - 18th IEEE International Conference on Networking, Sensing and Control

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Hou Y, Fu Y, Zhou M, Guo X, Qi L. Integrated Distributed Production and Distribution Problem for Minimizing Earliness and Tardiness Penalty. In ICNSC 2021 - 18th IEEE International Conference on Networking, Sensing and Control: Industry 4.0 and AI. Institute of Electrical and Electronics Engineers Inc. 2021. (ICNSC 2021 - 18th IEEE International Conference on Networking, Sensing and Control: Industry 4.0 and AI). doi: 10.1109/ICNSC52481.2021.9702229

Integrated Distributed Production and Distribution Problem for Minimizing Earliness and Tardiness Penalty

Abstract

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All Science Journal Classification (ASJC) codes

Keywords

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