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Askiner Gungor
Researcher at Pamukkale University
Publications - 35
Citations - 3123
Askiner Gungor is an academic researcher from Pamukkale University. The author has contributed to research in topics: Remanufacturing & Petri net. The author has an hindex of 20, co-authored 34 publications receiving 2815 citations. Previous affiliations of Askiner Gungor include Northeastern University.
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Journal ArticleDOI
Issues in environmentally conscious manufacturing and product recovery: a survey
TL;DR: A survey of research in ECMPRO can be found in this article, where the authors present the development of research and provide a state-of-the-art survey of published work.
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Disassembly line in product recovery
Askiner Gungor,Surendra M. Gupta +1 more
TL;DR: In this paper, the authors discuss the importance of a disassembly line in product recovery and demonstrate how some important factors in disassembly can be accommodated to balance a paced disassemb line by modifying the existing concept of assembly line balancing.
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A solution approach to the disassembly line balancing problem in the presence of task failures
Askiner Gungor,Surenda M. Gupta +1 more
TL;DR: In this paper, the authors discuss the disassembly line balancing problem in the presence of task failures (DLBP-F), where there are precedence relationships among disassembly tasks and the tasks must be completed within a given time, determined by the demand in a given period.
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Petri net approach to disassembly process planning for products with complex AND/OR precedence relationships
TL;DR: A Petri net (PN)-based approach to automatically generate disassembly process plans (DPPs) for product recycling or remanufacturing, and develops a heuristic to dynamically explore the v likeliest lowest cost branches of the tree, to identify optimal or near-optimal DPPs.
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Disassembly sequence planning for products with defective parts in product recovery
Askiner Gungor,Surendra M. Gupta +1 more
TL;DR: In this paper, the uncertainty related difficulties in disassembly sequence planning are addressed and a framework for dealing with uncertainty in DSP implementation is presented. But, it is not a trivial problem since DSP generation is described to be NP-complete.