Ibrahim Kucukkoc

Dr. Ibrahim Kucukkoc

orcid

Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 July 2017 in Computers & Operations Research
Verified
Journal Article
Closed access
QLQiang Li
Qiang Li
Ibrahim KucukkocIbrahim Kucukkoc
Ibrahim Kucukkoc
DZDavid Z. Zhang
David Z. Zhang

1 May 2019 in Computers & Operations Research
Verified
Journal Article
Closed access
Ibrahim KucukkocIbrahim Kucukkoc
Ibrahim Kucukkoc

11 December 2013 in International Journal of Production Research
Verified
Journal Article
Closed access
Ibrahim KucukkocIbrahim Kucukkoc
Ibrahim Kucukkoc
DZDavid Z. Zhang
David Z. Zhang
Growing interests from customers in customised products and increasing competitions among peers necessitate companies to configure their manufacturing systems more effectively than ever before. We propose a new assembly line system configuration for companies that need intelligent solutions to satisfy customised demands on time with existing resources. A mixed-model parallel two-sided assembly line system is introduced based on the parallel two-sided assembly line system previously proposed in the literature. The mixed-model parallel two-sided assembly line balancing problem is illustrated with examples from the perspective of simultaneous balancing and sequencing. An agent-based ant colony optimisation algorithm is proposed to solve the problem. This algorithm is the first attempt in the literature to solve an assembly line balancing problem with an agent-based ant colony optimisation approach. The algorithm is illustrated with an example and its operational procedures and principles are explained and discussed.