External Links

    Journal: IJMTM

    Volume 23, Issue 3/4

    137 -- 156Hao Zhang, Shilun Ge, Junmin Wu. Manufacturing cost estimation for steel product based on consumption chain: a case study in China
    157 -- 178Samuel Bigot, Roussi Minev, Stefan Dimov, Todor Dobrev. Function and length scale integration in innovative products - technical solutions and new organisational models
    179 -- 192Amit Kumar Gupta, Appa Iyer Sivakumar, Peter Lendermann. Cycle time simulation study for cluster tool operation in IC fabrication
    193 -- 213Thomas V. Scannell, Steven A. Melnyk, Roger J. Calantone. Shop floor manufacturing technology adoption: an adaptation of the technology acceptance model
    214 -- 233P. Kuppan, S. Narayanan, A. Rajadurai. Effect of process parameters on material removal rate and surface roughness in electric discharge drilling of Inconel 718 using graphite electrode
    234 -- 248Maher Lazreg. QFD-TOPSIS-based model for managing Six Sigma DMAIC process in manufacturing

    Volume 23, Issue 1/2

    4 -- 15Semyon M. Meerkov, Liang Zhang. Unbalanced production systems with floats: analysis and lean design
    16 -- 33Pedro L. Gonzalez-R, Jose M. Framiñan, Rafael Ruiz Usano. A response surface methodology for parameter setting in a dynamic Conwip production control system
    34 -- 53Jesus René Villalobos, Marco A. Gutierrez, Luis R. Mar, Octavio Sanchez, Omar Ahumada. The use of dynamic work sharing production methods to reduce the impact of labour turnover in serial assembly lines
    54 -- 68Sabry Shaaban. Unpaced production lines with jointly unbalanced operation time means and buffer capacities - their behaviour and performance
    69 -- 81Khalid R. Al-Momani, Jaber Abu Qudeiri. Modelling of parallel production system with rework paths and its GA based simulator for optimal design
    82 -- 112Seamus M. McGovern, Surendra M. Gupta. Metrics and experimental data for assessing unbalanced disassembly lines
    113 -- 136Juan J. Areal, Ricardo Marin Martin, Julio Garrido Campos. Simulated annealing vs. genetic algorithms applied using a new cost function for the car sequencing problem
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