Jinlin Li

ORCID: 0000-0003-4012-5484
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About
Contact & Profiles
Research Areas
  • Manufacturing Process and Optimization
  • Advanced Manufacturing and Logistics Optimization
  • Assembly Line Balancing Optimization
  • Scheduling and Optimization Algorithms
  • Efficiency Analysis Using DEA
  • Product Development and Customization
  • Optimization and Search Problems
  • Reliability and Maintenance Optimization
  • Supply Chain and Inventory Management
  • Stock Market Forecasting Methods
  • Risk and Safety Analysis
  • Innovation Diffusion and Forecasting
  • Forecasting Techniques and Applications
  • Geotourism and Geoheritage Conservation
  • Customer churn and segmentation
  • Environmental Impact and Sustainability
  • Urban and Freight Transport Logistics
  • Water resources management and optimization
  • Eating Disorders and Behaviors
  • Transport Systems and Technology
  • Coffee research and impacts
  • Scientific Innovation and Industrial Efficiency
  • Diverse Interdisciplinary Research Innovations
  • Economic and Technological Innovation
  • Risk and Portfolio Optimization

Beijing Institute of Technology
2004-2021

Central South University
2014-2019

UniLaSalle Amiens (ESIEE-Amiens)
2019

Université Gustave Eiffel
2019

Centre National de la Recherche Scientifique
2019

ESIEE Paris
2019

Education Department of Hunan Province
2019

Laboratoire d'Informatique Gaspard-Monge
2019

Henan Institute of Geological Survey
2013

Abstract This paper considers scheduling problems with human operators having the option to perform multiple rate‐modifying activities (MRMAs) while they are carrying out multitasking. Thus, processing of a selected task suffers jointly from interruptions by other available but unfinished tasks and MRMAs. Two types objective functions studied: single‐criterion minimizing total completion time, multicriteria weighted combination absolute differences in times, waiting time times. We propose...

10.1111/itor.12393 article EN International Transactions in Operational Research 2017-02-15

Multitasking scheduling problems with a deterioration effect incurred by coexisting behavioral phenomena in human‐related systems including deteriorating task processing times and rate‐modifying activity (DRMA) of human operators are addressed. Under the assumption this problem, selected suffers from joint available but unfinished waiting tasks, position‐dependent time, DRMA operators. Traditionally, these issues have been considered separately; herein, we address their integration. We...

10.1155/2017/4750791 article EN cc-by Mathematical Problems in Engineering 2017-01-01

AbstractWhen a mixed-model assembly line (MAL) is balanced, it generally assumed that the variants of task over different models should be assigned to an identical station. In this study, restriction relaxed and can duplicated on two adjacent stations (referred as duplication) improve MAL's efficiency. The duplication incurs few additional training tool costs each at most stations. Moreover, for task, part storage not shared by mathematical model problem formulated some important properties...

10.1080/00207543.2014.937012 article EN International Journal of Production Research 2014-07-23

ensemble Bidirectional long short-term memory (BILSTM)

10.2991/ijcis.d.210203.004 article EN cc-by International Journal of Computational Intelligence Systems 2021-01-01

In the design of disassembly lines, equipment requirements is a common index to measure cost-efficiency processing alternative, but it seldom considered in literature. This paper investigates integrated decision line balancing and configuration, i.e., problem. A linear mixed integer programming (MIP) formulation developed, dynamic approach proposed solve

10.1109/iesm45758.2019.8948107 article EN 2019-09-01

10.26855/oajem.2023.03.005 article EN cc-by OA Journal of Economy and Management 2023-04-19

A robust optimization model is applied to the problem of pricing perishable products over a finite horizon with uncertain demand in this paper. This proposed approach takes into account uncertainty without assuming specific probability distribution, while providing insight corresponding optimal policy. It also allows adjustment level robustness prices trade off performance and protection against by two parameters namely Robust Level which resolves not single product, but multiple products....

10.1061/41139(387)500 article EN 2010-09-09
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