Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

 
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Session Overview
Session
Modern scheduling and applications in industry 4.0
Time:
Tuesday, 07/Sept/2021:
12:00pm - 2:00pm

Session Chair: Zhaojie Wang
Session Chair: Catherine da Cunha
Virtual location: Tuesday Room 3

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Presentations
ID: 581 / MSA-01: 1
Special track: Modern scheduling and applications in industry 4.0
Keywords: Color-spanning set, Approximation algorithm, Maximum coverage problems, farthest-color Voronoi diagram(FCVD), Minimum spanning tree

An Approximation Algorithm for the k-Connected Location Set Cover Problem with Color-spanning Constraint

Yin Wang1,2, Yinfeng Xu1,2

1School of Management, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, China.; 2The State Key Lab for Manufacturing Systems Engineering, Xi’an, Shaanxi 710049, China.



ID: 251 / MSA-01: 2
Special track: Modern scheduling and applications in industry 4.0
Keywords: Scheduling, Optimization, Bus charging, State of charge, Battery loss cost

Charging Scheduling Optimization of Battery Electric Bus with Controllable Task Completion

Feifeng Zheng1, Zhixin Wang1, Yinfeng Xu1, Ming Liu2

1Donghua University, China, People's Republic of; 2School of Economics & Management, Tongji University



ID: 243 / MSA-01: 3
Special track: Modern scheduling and applications in industry 4.0
Keywords: Multitasking, Scheduling, Stochastic, Credit risk, Robust

Multitasking Scheduling Problem with Uncertain Credit Risk

Feifeng Zheng1, Zhaojie Wang1, Yinfeng Xu1, Ming Liu2

1Donghua University, China; 2Tongji University, China



ID: 235 / MSA-01: 4
Special track: Modern scheduling and applications in industry 4.0
Keywords: Parallel machine scheduling, Stochastic optimization, Skill requirements, Skill training plan

Parallel machine scheduling with stochastic workforce skill requirements

Xin Liu, Ming Liu

Donghua University, China, People's Republic of



ID: 476 / MSA-01: 5
Regular Paper Submission
Data-driven Production Management: Novel Production Planning & Control Approaches
Keywords: pipeline network, phosphate products, scheduling, MILP

A MILP model for the scheduling of a multiproduct tree-structure pipeline network in mining industry

Meryem Bamoumen1, Selwa Elfirdoussi1, Libo Ren2, Nikolay Tchernev2

1EMINES School of Industrial Management, Université Mohammed VI Polytechnique, Maroc; 2Clermont Ferrand University, France



 
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