Manoj Kumar Tiwari

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In general, distributed scheduling problem focuses on simultaneously solving two issues: (i) allocation of jobs to suitable factories and (ii) determination of the corresponding production scheduling in each factory. The objective of this approach is to maximize the system efficiency by finding an optimal planning for a better collaboration among various(More)
Activities in reverse logistics activities are extensively practiced by computer hardware industries. One of the important problems faced by the top management in the computer hardware industries is the evaluation of various alternatives for end-of-life (EOL) computers. Analytic network process (ANP) based decision model presented in this paper structures(More)
In modern manufacturing environments, vast amounts of data are collected in database management systems and data warehouses from all involved areas, such as product and process design, assembly, materials planning, quality control, scheduling, maintenance, fault detection and so on. Data mining has emerged as an important tool for knowledge acquisition in(More)
A machine loading problem in flexible manufacturing system (FMS) is discussed with bicriterion objectives of minimizing system unbalance and maximizing system throughput in the occurrence of technological constraints such as available machining time and tool slots. An efficient evolutionary algorithm by hybridizing the genetic algorithm (GA) and simulated(More)
Implementing the Lean Sigma framework in an Indian SME: a case study M. Kumar a , J. Antony b , R. K. Singh c , M. K. Tiwari d & D. Perry a a Division of Management, Caledonian Business School, Glasgow Caledonian University, Cowcaddens, Glasgow G4 0JF, UK b Centre for Research in Six Sigma and Process Improvement (CRISSPI), Caledonian Business School,(More)