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Andreyenkova (Podolyaka)Elena Aleksandrovna

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Department of "Computer Information Technologies and Automation" (CITA)

Speciality: "Control Informational Systems" (CIS)

The theme of masters work: "Development of automatic computer system of the optimal load planning of equipment of the manufacturing plant"

Supervisor: associate prof. Sekirin A.I.



Abstract

Introduction

      As the experience shows, problems of organizational-technological management are the most difficultly given into automation. For the enterprises of machine-building branch the problem of automation of operative scheduling in flexible industrial systems (FIS) is especially actual. The reason of this is a variety of the equipment park and ostentatious planning, which is characteristic for such enterprises. FIS - the system having ability quickly to be reconstructed on processing of new details in limits, determined by technical opportunities of the equipment and processing technology of group of details. Thus, there are significant reserves for increasing of efficiency due to perfection of system of operative scheduling in FIS.
      The purpose of construction of a subsystem is increasing of an overall performance of mechanical shop owing to use of the computerized subsystem of the operative scheduling which is taking into account the current industrial situation. One of essential reserves of increasing of efficiency flexible machine systems is the reduction of non-productive time in FIS by optimization of the working schedule during operative term of planning.
      The analysis of structure of non-productive time for FIS machining has shown, that the most essential components of time losses are: time spent on operations of readjustments of separate flexible industrial modules (FIM) at receipt of a details set of other name to operation, carried out to this FIM (so-called “operation-set”); time spent on transportation of details sets to FIM; time of idle FIM times because of expectation of the end of processing operation-set on the previous operation which are carried out on other FIM.


An urgency of development of the computerized subsystem of optimum loading the equipment planning

      Uniform work and rhythmical output are determined by many conditions. Methods of the manufacture organization, duly carrying out of its technical training, close coordination of the output program with the plan of the new products development and development of again entered capacities are belonging to them. The great part of the rhythmical work organization are taken by precisely organized logistics and maintenance co-operational deliveries, normalization of the charge and output of materials to the shops and workplaces, the proved definition of reserve and turnaround stocks.
      One of the basic ways to increase the coefficient of the equipment loading is drawing up of the industrial schedule of its work, the control of performance and operative correction of the schedule.
      But this problem is difficult since optimization of the machine tools loading is requiring to take into account a significant amount of conditions and restrictions. The basic restrictions concern: major overhauls of the equipment, duration of the operation cycles of details, amount of the vehicles used for transportation operation-set between some FIMs, FIM and the warehouse.


The purposes and tasks of work

beginning

      The purpose of this work is increasing of an overall performance of machine flexible industrial systems in mechanical engineering due to drawing up of locally optimum schedule of FIS work at the shop level.
      The primary tasks of the schedule optimization are:

  • a definition of start sequence of details in the manufacture;
  • a substantiation of the chosen criteria of optimization;
  • an estimation of model adequacy.

      For reception of the schedule values which are close to optimum, using of modified genetic algorithm (GA) is supposed. Object of research is the flexible industrial system of details manufacturing at small and average serial mechanical engineering.


Scientific novelty and practical value

      Creation of the modified genetic algorithm which is adjusted for the decision of task for getting reception of schedule values of FIS machine work which is close to optimum, at the shop level is supposed. îîáðàáîòêè, áëèçêèõ ê îïòèìàëüíûì, íà óðîâíå öåõà.
      Also at end of drawing up of schedules with modified GA the estimation of adequacy of the received values on the basis of regression analysis is supposed.
      FIS work optimization at the shop level due to drawing up of the optimum schedule of work by the chosen criteria will allow making increase of overall FIS machining performance that will result in acceleration of production.


Prospective results

beginning

      Drawing up of local optimum schedules of FIM work is supposed at this work by the example of tasks with a bit FIM, adjustment of the modified genetic algorithm. And also the subsequent decision of task in case of N FIM and the checking of the received schedule model adequacy with the regression analysis is supposed.


Conclusions:

  1. The analysis of existing systems and subsystems is made in conclusion of which the urgency of the subsystem of the optimum loading planning of the machine-building equipment creation is proved.

  2. The review of planning methods of the equipment optimum loading is carried out. The analysis has shown, that the most suitable is using modified GA because of that only the GA allow to solve the tasks in which the initial data can be incomplete that quite corresponds to the requirements which are showed for the decision of the task.

  3. The purpose of this subsystem is increasing of an overall performance of machine flexible industrial systems in mechanical engineering due to drawing up of locally optimum schedule of FIS work at the shop level. The following tasks have been determined for the purpose achievement: a definition of start sequence of details in the manufacture; a substantiation of the chosen criteria of optimization; an estimation of model adequacy.

  4. FIS work optimization at the shop level due to drawing up of the optimum schedule of work by the chosen criteria will allow making increase of overall FIS machining performance that will result in acceleration of production.

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