İbrahim Küçükkoç

ORCID: 0000-0001-6042-6896
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Research Areas
  • Assembly Line Balancing Optimization
  • Manufacturing Process and Optimization
  • Scheduling and Optimization Algorithms
  • Advanced Manufacturing and Logistics Optimization
  • Additive Manufacturing and 3D Printing Technologies
  • Additive Manufacturing Materials and Processes
  • Optimization and Packing Problems
  • Operations Management Techniques
  • Digital Transformation in Industry
  • Topology Optimization in Engineering
  • Sustainable Supply Chain Management
  • Facility Location and Emergency Management
  • Advanced Numerical Analysis Techniques
  • Vehicle Routing Optimization Methods
  • Process Optimization and Integration
  • Recycling and Waste Management Techniques
  • High Entropy Alloys Studies
  • Injection Molding Process and Properties
  • Welding Techniques and Residual Stresses

Balıkesir University
2015-2024

Pamukkale University
2018

University of Exeter
2013-2017

AbstractGrowing 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 that need intelligent solutions satisfy demands on time with existing resources. A mixed-model parallel two-sided is introduced based the previously proposed literature. The balancing problem illustrated examples perspective of...

10.1080/00207543.2013.879618 article EN International Journal of Production Research 2014-01-31

10.1016/j.cor.2015.05.014 article EN Computers & Operations Research 2015-06-13

Purpose Surface roughness is an important evaluation index for industrial components, and it strongly depends on the processing parameters selective laser molten Ti6Al4V parts. This paper aims to obtain optimum melting (SLM) parameter set improve surface of samples. Design/methodology/approach A response methodology (RSM)-based approach proposed quality parts understand relationship between SLM process roughness. The main (i.e. power, scan speed hatch spacing) are optimized, manufactured by...

10.1108/rpj-03-2016-0045 article EN Rapid Prototyping Journal 2017-11-30

Additive manufacturing (AM), also known as 3D printing, has been called a disruptive technology it enables the direct production of physical objects from digital designs and allows private industrial users to design produce their own goods enhancing idea rise "prosumer". It predicted that, by 2030, significant number small medium enterprises will share industry-specific AM resources achieve higher machine utilization. The decision-making on order acceptance scheduling (OAS) in production,...

10.1007/s00170-019-03796-x article EN cc-by The International Journal of Advanced Manufacturing Technology 2019-05-14

10.1007/s00170-015-7320-y article EN The International Journal of Advanced Manufacturing Technology 2015-06-10

Topology optimisation is an effective approach to design extreme lightweight components. However, most of the resulted optimum components usually have complex structures which cannot be produced successfully by traditional manufacturing processes. Selective laser melting one additive It shows powerful capacity in metal with structures. Therefore, combination topology and selective a promising prospect for support were introduced during process, some disadvantages, example, are generally...

10.1007/s00170-016-9509-0 article EN cc-by The International Journal of Advanced Manufacturing Technology 2016-10-25

In recent years, the interests of disassembly line have increased owing to economic reasons and increase environmental awareness. Effective can provide many advantages in terms aspect it facilitates competition companies with others. This study contributes relevant literature by a branch, bound remember algorithm for balancing problem AND/OR precedence. The proposed exact solution method employs memory-based dominance rule eliminate reduplicated sub-problems storing all searched utilise...

10.1080/00207543.2019.1630774 article EN International Journal of Production Research 2019-06-20

Genetic algorithms (GAs) are efficient stochastic search techniques for approximating optimal solutions within complex spaces and used widely to solve NP-hard problems. algorithm includes a number of parameters whose different levels strictly affect the performance algorithm. The general approach determine appropriate parameter combination GA depends on too many trials combinations, best one them that produces good results is selected programme, which would be problem solving. A few...

10.1080/00207543.2013.784411 article EN International Journal of Production Research 2013-06-09

Assembly lines are usually constructed as the last stage of entire production system and efficiency an assembly line is one most important factors which affect performance a complex system. The main purpose this paper to mathematically formulate provide insight for modelling parallel two-sided balancing problem, where two or more in each other. We also propose new genetic algorithm (GA)-based approach alternatively existing only solution literature, tabu search algorithm. To best our...

10.1080/09537287.2014.994685 article EN Production Planning & Control 2015-04-27
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