COLLECTIONS

Documents published in Scipedia

• Minimization of completion time variance in flowshops using genetic algorithms

  I. Chaudhry, I. Elbadawi, A. Rafique, A. Boudjemline, M. Boujelbene, M. Usman, M. Aichouni

  Rev. int. métodos numér. cálc. diseño ing. (2022). Vol. 38, (2), 22

  
  

  Abstract

  The majority of the flowshop scheduling literature focuses on regular performance measures like makespan, flowtime etc. In this paper a flowshop scheduling problem is addressed where the objective is to minimize completion time variance (CTV). CTV is a non-regular performance measure that is closely related to just-in-time philosophy. A Microsoft Excel spreadsheet-based genetic algorithm (GA) is proposed to solve the problem. The proposed GA methodology is domain-independent and general purpose. The flowshop model is developed in the spreadsheet environment using the built-in formulae and function. Addition of jobs and machines can be catered for without the change in the basic GA routine and minimal change to the spreadsheet model. The proposed methodology offers an easy to handle framework whereby the practitioners can implement a heuristic-based optimization tool with the need for advanced programming tools. The performance of the proposed methodology is compared to previous studies for benchmark problems taken from the literature. Simulation experiments demonstrate that the proposed methodology solves the benchmark problems efficiently and effectively with a reasonable accuracy. The solutions are comparable to previous studies both in terms of computational time and solution quality.

  Abstract
  The majority of the flowshop scheduling literature focuses on regular performance measures like makespan, flowtime etc. In this paper a flowshop scheduling problem is addressed [...]

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Articles (Documents not available in Scipedia)

• On using neural networks in UAV structural design for CFD data fitting and classification

  Farrukh Mazhar, Abdul Munem Khan, Imran Ali Chaudhry, Mansoor Ahsan

  Aerospace Science and Technology

• Job shop scheduling problem with alternative machines using genetic algorithms

  IA Chaudhry

  Journal of Central South University

• Minimizing makespan for a no-wait flowshop using genetic algorithm

  Imran Ali Chaudhry, Abdul Munem Khan

  Sadhana

• Simultaneous scheduling of machines and automated guided vehicles in flexible manufacturing systems using genetic algorithms

  I A Chaudhry, S Mahmood, M Shami

  Journal of Central South University

• Minimizing makespan for machine scheduling and worker assignment problem in identical parallel machine models using GA

  Imran Ali Chaudhry, Sultan Mahmood, Riaz Ahmad

  Proceedings of the World Congress on Engineering

• Minimizing flow time for the worker assignment problem in identical parallel machine models using GA

  Imran Ali Chaudhry

  International Journal of Advanced Manufacturing Technology

• Minimizing flow-time variance in a single-machine system using genetic algorithms

  Imran Ali Chaudhry, Paul R Drake

  International Journal of Advanced Manufacturing Technology

• From apes to schedules

  PR Drake, IA Choudhry

  Manufacturing Engineer

Conference papers and presentations (Documents not available in Scipedia)

• Genetic Algorithm to minimize flowtime in a no-wait flowshop scheduling problem

  Imran A Chaudhry, Riaz Ahmed, Abdul Munem Khan

  IOP Conference Series: Materials Science and Engineering

• No-wait flowshop scheduling using genetic algorithm

  Imran Ali Chaudhry, Sultan Mahmood

  Proceedings of the World Congress on Engineering

• A genetic algorithm approach for process planning and scheduling in job shop environment

  Imran Ali Chaudhry

  Proceedings of the World Congress on Engineering