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    A fuzzy AHP approach to personnel selection problem
    (ELSEVIER SCIENCE BV, 2009) Gungor, Zulal; Serhadlioglu, Guerkan; Kesen, Saadettin Erhan
    Due to the increasing competition of globalization and fast technological improvements, world markets demand companies to have quality and professional human resources. This can only be achieved by employing potentially adequate personnel. In this paper, we proposed a personnel selection system based on Fuzzy Analytic Hierarchy Process (FAHP). The FAHP is applied to evaluate the best adequate personnel dealing with the rating of both qualitative and quantitative criteria. The result obtained by FAHP is compared with results produced by Yager's weighted goals method. In addition to above-mentioned methods, a practical computer-based decision support system is introduced to provide more information and help manager make better decisions under fuzzy circumstances. (c) 2008 Elsevier B.V. All rights reserved.
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    How important is the batch splitting activity in scheduling of virtual manufacturing cells (VMCs)?
    (TAYLOR & FRANCIS LTD, 2011) Kesen, Saadettin Erhan; Gungor, Zulal
    Especially developed for small-to-medium companies that perform batch production, virtual manufacturing cells (VMCs) have attracted some researchers' close attention as they provide greater flexibility associated with flexible manufacturing systems (FMSs) and some of the scheduling simplicity related to cellular manufacturing systems (CMSs) without incurring much additional system cost. In a VMC, machines are dedicated to a part as in a regular cell, but machines are not physically located in a contiguous area. Batch splitting (also called lot streaming) activity emerges as a key element that management must decide whether to apply it. In this paper, we consider the case where there are multiple jobs with different processing sequences. There are multiple machine types, each of which has several identical machines and identical machines are distributed through the shop floor. Two scheduling objectives are makespan minimisation and total travelling distance minimisation. Under these circumstances, we developed two mixed integer linear programming (MILP) formulations with and without batch splitting. On a broad range of test problems, performances of the models are compared with each other and computational results show that batch splitting leads to more desirable system results while it increases the computational time. The decision maker or manager should make a trade-off between system performance and computational time efficiency.
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    New product design using FDMS and FANP under fuzzy environment
    (ELSEVIER SCIENCE BV, 2011) Gungor, Zulal; Delice, Elif Kilic; Kesen, Saadettin Erhan
    Quality function deployment (QFD) is a customer-oriented design approach in processing new product developments in order to reach maximum customer satisfaction. Design requirements (DRs) and part characteristics are important decision making problems during QFD activity processes for new product development. Here a Fuzzy decision-making system (FDMS) considering customer needs (CNs) as factors is proposed to formulate the problem. The structure of the FDMS is based on fuzzy control rules. Thus, CNs are determined as input variables and fuzzified using membership function concept. Weights of these factors are then fuzzified to ensure the consistency of the decision maker when assigning the importance of each factor over another. By applying IF-THEN decision rules, DRs of the firm are scored. This paper also uses Fuzzy analytic-network process (FANP) to determine the fulfillment levels of DRs of the firm. The comparison of FDMS with Fuzzy analytical network process (FAHP) is also presented. (C) 2011 Elsevier B.V. All rights reserved.