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About

Dr. Jun Pei serves as Professor in School of Management, Hefei University of Technology, China. He is also an Affiliated Member in Center for Applied Optimization, University of Florida, USA. His recent research interests include Production Scheduling, Business Analytics, Internet of Things, Industrial Internet, and Optimization in Smart Manufacturing. Dr. Jun Pei is the recipient for the National Science Fund for Excellent Young Scholars in China, 2019 (国家自然科学基金优秀青年基金获得者,2019年度). His research has appeared in premier academic journals Management Science, Production and Operations Management, INFORMS Journal on Computing, Omega, European Journal of Operational Research, IEEE Transactions on Engineering Management, etc. He is currently a Co-Editor-in-Chief for Energy Systems. He serves as an Editorial Review Board Member at Production and Operations Management (UTD24, FT50). He also serves as an Associate Editor at Decision Sciences, Journal of Global Optimization, Optimization Letters, Journal of Combinatorial Optimization, Energy Systems, Computational Social Networks, and Operations Research Forum, and a Lead Guest Editor at Annals of Operations Research.

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Skills

Experience

Professor

Hefei University of Technology (HFUT)

Dec-2019 to Present

Publication

Collaborative Planning in a Two-Stage Supply Chain: Transparent Coordination, Distributed Response, Integrated Optimization

In the competitive global market, large manufacturing enterprises are striving to achieve a competitive edge through constructing a transparent collaborative supply chain. One of the importa...

Dynamic resource allocation and collaborative scheduling in R&D and manufacturing processes of high-end equipment with budget constraint

This paper investigates the collaborative scheduling problem of research and development (R&D) and manufacturing processes in the context of high-end equipment, and the objective is to minim...

  • dott image August, 2022

Bi-level scheduling in high-end equipment R&D: when more algorithm strategies may not be better

Motivated by the practical research and development (R&D) process in high-end equipment manufacturing, this study investigates a bi-level scheduling problem in a complex R&D project network,...

  • dott image January, 2022

Less is more approach in optimization: a road to artificial intelligence

The main idea of Less is more approach (LIMA) is using as fewer as possible ingredients to provide the best possible outcome. This approach has been used successfully almost in all the scien...

Integrated inventory and production policy for manufacturing with perishable raw materials

This research investigates an integrated inventory and production scheduling problem (IIPSP) in a manufacturer that deals with the perishable goods. The objective is to find an optimal sched...

A game of information security investment considering security insurance and complementary information assets

Considering information security insurance, this paper investigates an information security investment game between two firms with complementary information assets. Each firm's information s...

A hybrid DBH-VNS for high-end equipment production scheduling with machine failures and preventive maintenance activities

The high-end equipment features with high value, complicated manufacturing process, and high status, and it thus brings a huge challenge to increase reliability, quality, and productivity du...

  • dott image December, 2020

Parallel-machine group scheduling with inclusive processing set restrictions, outsourcing option and serial-batching under the effect of step-deterior...

This paper investigates a parallel-machine group scheduling problem where non-identical jobs with arbitrary sizes and inclusive processing set restrictions can be either processed on in-hous...

  • dott image August, 2020

Effects of resource occupation and decision authority decentralisation on performance of the IoT-based virtual enterprise in central China

Enterprises in China are extensively involved in collaborative virtual enterprise (VE) supported by the internet of things (IoT). This paper investigates the effects of member enterprises’...

Robust parallel-batching scheduling with fuzzy deteriorating processing time and variable delivery time in smart manufacturing

Smart manufacturing is an effective way to improve the efficiency of resource utilization and reduce the response time of making joint decisions for the enterprises. Though, with the globali...

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S9-122024-1206696

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