Selection of FMS based on fuzzy set and AHP methods | |
| Author | Shamsuzzaman, Mohammad |
| Call Number | AIT Thesis no. ISE-00-25 |
| Subject(s) | Flexible manufacturing systems Fuzzy sets |
| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering, School of Advanced Technologies |
| Publisher | Asian Institute of Technology |
| Series Statement | Thesis ; no. ISE-00-25 |
| Abstract | Nowadays flexible manufacturing systems (FMS) are the most effective manufacturing system, because of their capability to cope up with any kind of changes in relevant factors like product, process, loads and machine failures very quickly. In most situations, a number of feasible alternative FMS configurations are available when a company designs its FMS. The question is how to analyze effectively which of the configurations is the most appropriate. Several research papers have been written on the justification and selection of flexible manufacturing system over the years. Different researchers have proposed different methodologies considering different aspects such as financial, strategic and tactical factors. The present research work also designs a decision-making framework to aid the decisionmaker in selecting the most appropriate technology and design when planning a flexible manufacturing system. The proposed model has been built up depending on fuzzy set theory. The evaluation process considers both quantitative and qualitative criteria. The quantitative criteria have been fuzzified over the ranges according to the decision-maker's opinions. The qualitative criteria have been judged subjectively in which system's flexibilities are directly involved. Saaty's (1990, 1994) Analytical Hierarchy Process (AHP) has been used to give due weightage to all selection criteria. Finally, Yager's (1978) fuzzy multi-criteria decision-making approach has been employed to get the best-ranked model. A Fuzzy Expe1t System for FMS Selection (FESFMSS) has been developed. The system has been implemented using Borland C++ version 5.0, which will automatically select the best alternative from a number of configuration alternatives. Some examples based on previously used data (Borenstein, 1998; Hasin 1991) sets have been used to illustrate the concept. The advantages of the present approach are that it considers both qualitative and quantitative factors, which is a primary goal in strategic evaluation of a system and it also modeled the fuzziness and uncertainty involved with the selection criteria in a systematic mathematical framework. |
| Year | 2000 |
| Corresponding Series Added Entry | Asian Institute of Technology. Thesis ; no. ISE-00-25 |
| Type | Thesis |
| School | School of Advanced Technologies (SAT) |
| Department | Department of Industrial Systems Engineering (DISE) |
| Academic Program/FoS | Industrial Systems Engineering (ISE) |
| Chairperson(s) | Bohez, Erik L.J.; |
| Examination Committee(s) | Ullah, A.M.M. Sharif;Nagarur, Nagendra N; |
| Scholarship Donor(s) | The German Academic Exchange Service (DAAD); |
| Degree | Thesis (M.Eng.) - Asian Institute of Technology 2000 |