L
Li-Chih Wang
Researcher at Tunghai University
Publications - 44
Citations - 664
Li-Chih Wang is an academic researcher from Tunghai University. The author has contributed to research in topics: Scheduling (production processes) & Supply chain. The author has an hindex of 12, co-authored 44 publications receiving 568 citations.
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A particle swarm approach for optimizing a multi-stage closed loop supply chain for the solar cell industry
TL;DR: In this article, a multi-objective closed-loop supply chain design (MCSCD) model has been proposed, in consideration of many practical characteristics including flow conservation at each production/recycling unit of forward/reverse logistics (FL/RL), capacity expansion, and recycled components.
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Modeling with colored timed object-oriented Petri nets for automated manufacturing systems
Li-Chih Wang,Shao-Ying Wu +1 more
TL;DR: In this article, a new paradigm, called CTOPN (colored timed object-oriented Petri net), is presented to model an automated manufacturing system (AMS) and an integrated and consistent environment is provided to simultaneously model, schedule and control an AMS.
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Object-oriented Petri nets for modelling and analysis of automated manufacturing systems
TL;DR: An Object-oriented Petri Net (OPN) approach to model and analyse the dynamic behaviours of an Automated Manufacturing System (AMS) and a rule-based control software may be implemented directly from the specification of the validated complete OPN model by following a number of transformation rules.
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A multi-agent based agile manufacturing planning and control system
Li-Chih Wang,Sian-Kun Lin +1 more
TL;DR: The development of an AMPCS for an automated manufacturing cell demonstrates that the integration of RFID technique and MAS in developing an agile manufacturing planning and control system can really possess the characteristics of visibility, accountability, track ability, responsiveness, and flexibility in a distributed and dynamic manufacturing system.
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A hybrid approach based on the variable neighborhood search and particle swarm optimization for parallel machine scheduling problems—A case study for solar cell industry
TL;DR: Preliminary computational study indicates that the developed VNPSO not only provides good quality solutions within a reasonable amount of time but also outperforms the classic branch and bound method and the current industry heuristic practiced by the case company.