Outline

  • Abstract
  • Highlights
  • Keywords
  • 1. Introduction
  • 2. the Proposed Model
  • 2.1. Fuzzy Set Theory
  • 2.2. Craft Software
  • 2.3. Determining the Quantitative Criteria
  • 2.4. Determining the Weights of Qualitative Criteria
  • 2.4.1. the Svfj Method for Prioritizing the Flps for Each Criterion
  • 2.5. the Proposed Nlp Model for Ranking the Flps
  • 3. Case Study
  • 4. Conclusions and Limitations
  • Acknowledgements
  • References

رئوس مطالب

  • چکیده
  • 1. مقدمه
  • 2. مدل پیشنهادی
  • 2.1 تئوری فازی
  • 2.2 نرم افزار CRAFT
  • 2.3 تعیین معیار های کمیتی
  • 2.4 تعیین اوزان معیار های کیفی
  • 2.4.1 روش SVFJ برای اولویت بندی FLP ها برای هر معیار
  • 2.4.1.1 ساخت ماتریس های براورد فازی برای هر معیار
  • 2.4.1.2 کسب وزن فازی تکی برای هر FLP
  • 2. مطالعه موردی
  • 3. نتیجه گیری ها و محدودیت ها

Abstract

In this paper, the goal is to incorporate qualitative criteria in addition to quantitative criteria to facility layout design (FLD) problem. To this end, we present an integrated methodology based on the synthetic value of fuzzy judgments and nonlinear programming (SVFJ–NLP). The facility layout patterns (FLPs) together with their performance measures of total cost of material handling are generated by a computer-aided layout-design tool, CRAFT. Also, the performance measures of second quantitative criterion (construction cost of width walls) are calculated by appraising these FLPs. The SVFJ is then applied to collect the performance measures related to qualitative criteria and finally, a non-linear programming (NLP) model is proposed to solve the FLD. Results obtained from a real case study validate the effectiveness of the proposed model.

Highlights ► A new approach for prioritizing the facility layout. ► The qualitative criteria as well as quantitative criteria are considered. ► Integrating synthetic value of fuzzy judgments and nonlinear programming. ► Real case study.

Keywords: - -

4. Conclusions and limitations

It is crucial to design an efficient FLD problem in a production factory. Ignoring the significant criteria (especially, the qualitative criteria which are not easily stateable in the quantitative measures form) in design time will certainly result in increasing the costs, prices and ultimately decreasing the products’ sale. In this study, using the SVFJ approach, we transformed the subjectivity subjects of designers (in linguistic variables form) against qualitative criteria which are stated by assessing printed FLPs in program output, to quantitative measures. These judgments occurred via erecting the distinct sessions in order to do not have any prejudice about other. Also we introduced the other quantitative criteria in addition to TCHM called construction cost, which is considered due to difference in the width walls of FLPs. Then, we ranked 10 FLPs regarding to these five criteria via a NLP model.

Here, it is significant to mention some points: first, in this study, we just considered the main sections (departments) to rank while each of those may include other subsections that were not taken into account in our study (e.g., production section may include office sections, work in progress, etc.). Second, by changing the initial sequence which designers used as input FLP in CRAFT, it is possible to produce other FLPs differed from FLPs presented in Fig. 2. Ultimately, owning to the fact that the performance measures of qualitative criteria achieved based on subjectivity judgments, these severely depend on such judgments and sometimes can result in inconsistent on behalf of designers.

But despite all these limitations, the proposed integrated SVFJ– NLP approach ranks the FLPs, is simple, efficient and applicable for any number of FLPs under any number of the qualitative and quantitative criteria

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