Quality function deployment (QFD) is a customer-driven approach, widely used to develop or process new product to maximize customer satisfaction. Last researches used linear physical programming (LPP) procedure to optimize QFD; however, QFD issue involved uncertainties, or fuzziness, which requires taking them into account for more realistic study. In this paper, a set of fuzzy data is used to address linguistic values parameterized by triangular fuzzy numbers. Proposed integrated approach including analytic hierarchy process (AHP), QFD, and LPP to maximize overall customer satisfaction under uncertain conditions and apply them in the supplier development problem. The fuzzy AHP approach is adopted as a powerful method to obtain the relationship between the customer requirements and engineering characteristics (ECs) to construct house of quality in QFD method. LPP is used to obtain the optimal achievement level of the ECs and subsequently the customer satisfaction level under different degrees of uncertainty. The effectiveness of proposed method will be illustrated by an example.

The purpose of this paper is to illustrate how the World Class Manufacturing (WCM) techniques influence in implementation of Total Productive Maintenance (TPM) in cellular manufacturing. The paper presents an investigation of TPM which can be defined in terms of Overall Equipment Effectiveness (OEE). Then, using a case study in Cement Industry, OEE index that is related with TPM implementation in a cell with performance standards of world class Manufacturing is compared. Implementation of TPM in cellular manufacturing brings competitive advantages such as increasing efficiency and improving maintenance quality in cellular manufacturing systems. The first step to World-Class Manufacturing is to implement TPM successfully and to create a very active organization. When TPM has been a common practice in daily production, it can be said that company has just commenced a journey to world-class manufacturing. So, the originality of this paper is to assessing The Role of Total Productive Maintenance in Group Technology to achieve world-class status.

Quality function deployment (QFD) is a customer-driven approach, widely used to develop or process new product in order to maximize customer satisfaction. Last researches used linear physical programming (LPP) procedure to optimize QFD; however, QFD issue involved uncertainties, or fuzziness, which requires taking them into account for more realistic study. In this paper a set of fuzzy data is used to address linguistic values parameterized by triangular fuzzy numbers. The proposed integrated approach includes analytic hierarchy process (AHP), QFD, and LPP to maximize overall customer satisfaction under uncertain conditions and apply them in the supplier development problem. The fuzzy AHP (FAHP) approach is adopted as a powerful method to obtain the relationship between the customer requirements (CRs) and engineering characteristics (ECs) to construct the house of quality (HOQ) in QFD method. LPP is used to obtain the optimal achievement level of the ECs and subsequently the customer satisfaction level under different degrees of uncertainty. The effectiveness of proposed method will be illustrated by an example.