Efficient Heuristics for Flow Shop Scheduling with make span Optimization Criteria

Abstract

In modern manufacturing environment the trend is the development of Computer Integrated Manufacturing (CIM) technologies which is computerized integration of manufacturing activities (design, planning, sequencing, scheduling and control).In the Flexible Manufacturing System (FMS), the productivity of CIM is highly depending upon the scheduling. FMS scheduling is a procedure to select the right future operational program of different operations, by sequencing through different work stations, operations, jobs, and routings with the efficient combination of the high flexibility of job shop type with high productivity of flow shop type. The flow shop scheduling problem is one of the well-known scheduling problems. In a flow shop environment scheduling of n jobs on m machines find prominent place in the field of production scheduling. The present work is focus on scheduling the jobs in a flow shop environment with make span minimization criteria in comparative fashion. In the proposed work there are three previous proposed heuristics Palmer’s, CDS and NEH have been analyzed and tested for the problem of 4 jobs with 4 machines consist processing time as input parameter. The objective of this thesis is to analyze various factors of each proposed scheduling methods for real world situation by the simulation using ProModel software. From the comparative analysis and use of simulation approach, the optimal make span and actual shop floor condition of each considered heuristic rules are described for each proposed problem and Graph charts, tables and simulation results were generated to verify the efficient utilization and effectiveness of FMS system.

Authors and Affiliations

Sunil Kumar, Sanjay Jain

Keywords

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  • EP ID EP22841
  • DOI -
  • Views 245
  • Downloads 5

How To Cite

Sunil Kumar, Sanjay Jain (2016). Efficient Heuristics for Flow Shop Scheduling with make span Optimization Criteria. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 4(11), -. https://europub.co.uk/articles/-A-22841