Scientific Programming

Optimization Models and Algorithms for Services and Operations Management


Status
Published

Lead Editor
Guest Editors

1Shanghai University, Shanghai, China

2George Mason University, Fairfax, USA

3Mississippi State University, Starkville, USA


Optimization Models and Algorithms for Services and Operations Management

Description

Optimization of performances is regarded as a key success factor for not only the industrial domain but also the service sector. Over the last decades, various optimization techniques have been employed by managers and management scientists to improve the performance in services and operations management. With rapid growth in computational technologies, including data mining technologies and intelligence algorithms, operations management in both service sectors and industrial field relies more and more on optimal solutions or their approximates based on high-performance algorithms. Thus, the most recent achievements obtained in the field of optimization models and algorithms for services and operations management are worth gathering, which copes with the purpose of the journal of "Scientific Programming “that is a research forum for research and practical experiences with computational techniques aimed specially at supporting scientific and engineering computing.

We invite investigators to contribute with original research articles as well as state-of-the-art articles that provide insights into how programming techniques play an important role in Optimization in Service and Operations Management.

Potential topics include but are not limited to the following:

  • Engineering models and algorithms for services and productions optimization
  • Mathematical programming models for services and production optimization
  • Heuristics and approximate algorithms for services and productions optimization
  • Data mining algorithms for services and productions optimization
  • Optimization models and algorithms for e-business recommendation
  • Advanced modeling and optimization for large-size problems in services and operations management
  • Heuristics and meta-heuristics for services and operations optimization
  • Modeling and optimization techniques applied in scientific computing service and operation environments
  • Resource allocation and task scheduling on modern HPC computer systems and data centers

Articles

  • Special Issue
  • - Volume 2017
  • - Article ID 4216785
  • - Editorial

Optimization Models and Algorithms for Services and Operations Management

Lu Zhen | Si Zhang | Xinchang Wang
  • Special Issue
  • - Volume 2017
  • - Article ID 7219656
  • - Review Article

A Survey of Recent Research on Optimization Models and Algorithms for Operations Management from the Process View

Hongying Fei | Qian Li | Dan Sun
  • Special Issue
  • - Volume 2017
  • - Article ID 2463252
  • - Research Article

An Extended Flexible Job Shop Scheduling Model for Flight Deck Scheduling with Priority, Parallel Operations, and Sequence Flexibility

Lianfei Yu | Cheng Zhu | ... | Weiming Zhang
  • Special Issue
  • - Volume 2017
  • - Article ID 1080468
  • - Research Article

A Network Optimization Research for Product Returns Using Modified Plant Growth Simulation Algorithm

Xuping Wang | Jian Qiu | ... | Junhu Ruan
  • Special Issue
  • - Volume 2017
  • - Article ID 9057947
  • - Research Article

Mixed-Integer Linear Programming Models for Teaching Assistant Assignment and Extensions

Xiaobo Qu | Wen Yi | ... | Zhiyuan Liu
  • Special Issue
  • - Volume 2016
  • - Article ID 1507285
  • - Research Article

Optimal Pricing and Ordering Policy for Deteriorating Items with Stock-and-Price Dependent Demand and Presale Rebate

Lianxia Zhao | Jianxin You
  • Special Issue
  • - Volume 2016
  • - Article ID 9346781
  • - Research Article

A Mixed Integer Programming Model for Supplier Selection and Order Allocation Problem with Fuzzy Multiobjective

Hongtao Hu | Haotian Xiong | ... | Wei Yan
  • Special Issue
  • - Volume 2016
  • - Article ID 9628095
  • - Research Article

Optimal Allocation of Tunnel Safety Provisions Based on a Quantitative Risk Assessment Model

Pan Li | Xiaobo Qu
  • Special Issue
  • - Volume 2016
  • - Article ID 9629170
  • - Research Article

Statistical Design of an Adaptive Synthetic Control Chart with Run Rule on Service and Management Operation

Shucheng Yu | Qiang Wan | ... | Tianbo Tang
  • Special Issue
  • - Volume 2016
  • - Article ID 5127253
  • - Research Article

Robust Parallel Machine Scheduling Problem with Uncertainties and Sequence-Dependent Setup Time

Hongtao Hu | K. K. H. Ng | Yichen Qin
Scientific Programming
 Journal metrics
Acceptance rate27%
Submission to final decision66 days
Acceptance to publication33 days
CiteScore2.300
Impact Factor0.963
 Submit