Discrete Dynamics in Nature and Society

Discrete Optimization for Dynamic Systems of Operations Management in Data-Driven Society


Publishing date
01 Apr 2019
Status
Published
Submission deadline
30 Nov 2018

Lead Editor

1Shanghai University, Shanghai, China

2The Hong Kong Polytechnic University, Hung Hom, Hong Kong

3Chalmers University of Technology, Gothenburg, Sweden

4Mississippi State University, Starkville, USA


Discrete Optimization for Dynamic Systems of Operations Management in Data-Driven Society

Description

Society is being reshaped by large volumes of data generated from the Internet of Things, smart devices, and dynamic human-to-machine communications. Big data is playing a transformative role in this new era, while also enabling a data-driven society. As such, data-driven decision methodology is becoming increasingly important for operation managers when handling dynamic issues. Various data-driven systems with well-designed models, as well as algorithms developed by high-tech software providers (and consulting companies), are now replacing traditional decision-making based predominantly on managers’ experiences. Among these emerging decision systems, most rely upon discrete optimization models. For these “smart” data-driven systems, the core issue lies in the design of the discrete optimization models for handling dynamic features contained in operations management (OM) activities.

In recent decades, various discrete optimization techniques have been employed by managers and management scientists to improve the performance of dynamic OM systems. With the rapid growth in computational technologies, including data mining technologies, discrete event simulation techniques, and intelligence algorithms, OM relies more and more on optimal solutions (or their approximates) based on high-performance models and algorithms.

Now, we are delighted to welcome interested authors to submit to this special issue, which will gather the most recent achievements in this rapidly evolving field. Its goal is to publish high-quality research papers as well as review articles that address recent advances in models and algorithms concerning discrete optimizations on dynamic OM systems relevant to our data-driven society.

Potential topics include but are not limited to the following:

  • Discrete optimization methodologies for stochastic OM problems
  • System dynamics in behavior OM for M-Commerce
  • Discrete optimization models for strategic-level OM decision-making
  • Heuristics and metaheuristics for high-efficiency OM decision-making under uncertain conditions
  • Data-driven risk analysis and modeling for OM decisions in dynamic contexts
  • Dynamic programming based exact methods for stochastic OM problems
  • Discrete optimization models and algorithms for green OM
  • Advanced modeling and optimization techniques for data-driven dynamic OM problems
  • New data-driven models for dynamic closed-loop supply chain management

Articles

  • Special Issue
  • - Volume 2019
  • - Article ID 3597314
  • - Editorial

Discrete Optimization for Dynamic Systems of Operations Management in Data-Driven Society

Lu Zhen | Shuaian Wang | ... | Xinchang Wang
  • Special Issue
  • - Volume 2019
  • - Article ID 9085320
  • - Research Article

Probability Mechanism Based Particle Swarm Optimization Algorithm and Its Application in Resource-Constrained Project Scheduling Problems

Shuai Li | Zhicong Zhang | ... | Liangwei Zhang
  • Special Issue
  • - Volume 2019
  • - Article ID 1520213
  • - Research Article

Omni-Channel Product Distribution Network Design by Using the Improved Particle Swarm Optimization Algorithm

Si Zhang | Heying Zhu | ... | Yan Wang
  • Special Issue
  • - Volume 2019
  • - Article ID 3646097
  • - Research Article

Analysis of Signal Game for Supply Chain Finance (SCF) of MSEs and Banks Based on Incomplete Information Model

Zhang Tao | Xin Li | ... | Nana Feng
  • Special Issue
  • - Volume 2019
  • - Article ID 2930502
  • - Research Article

Bilevel Programming Model of Urban Public Transport Network under Fairness Constraints

Jingjing Hao | Xinquan Liu | ... | Nana Feng
  • Special Issue
  • - Volume 2019
  • - Article ID 7214907
  • - Research Article

Incorporating a Bayesian Network into Two-Stage Stochastic Programming for Blood Bank Location-Inventory Problem in Case of Disasters

Shutong Chen | Changjun Wang
  • Special Issue
  • - Volume 2019
  • - Article ID 6890362
  • - Research Article

Evaluating the Spatial Deprivation of Public Transportation Resources in Areas of Rapid Urbanization: Accessibility and Social Equity

Chunyang Han | Xinquan Liu | ... | Nana Feng
  • Special Issue
  • - Volume 2019
  • - Article ID 9476362
  • - Research Article

Discrete Optimization Model and Algorithm for Driver Planning in Periodic Driver Routing Problem

Lin Huang | Wenya Lv | ... | Chengle Ma
  • Special Issue
  • - Volume 2019
  • - Article ID 3737105
  • - Research Article

Research on the Scheduling Problem of Movie Scenes

Yulian Liu | Qiuji Sun | ... | Yiwei Wu
  • Special Issue
  • - Volume 2019
  • - Article ID 4037859
  • - Research Article

Adopting a QCA Approach to Investigating the Risks Involved in Megaprojects from Auditing Perspective

Liang Ma | Bing Zhang | ... | Ruoyu Jin
Discrete Dynamics in Nature and Society
 Journal metrics
Acceptance rate24%
Submission to final decision59 days
Acceptance to publication84 days
CiteScore0.990
Impact Factor0.973
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