Quality Function Deployment (QFD) is one method for developing customer-oriented products. QFD is a planning process that helps the organization plan to implement various technical support tools effectively and complement each other to prioritize each problem. House of Quality (HOQ) is a tool from QFD that is used to determine design boundaries, shows the relationship between respondent needs and the matrix to satisfy the needs of respondents and illustrates the focus of the design team to produce quality products. The paper’s purpose is to review the QFD literature based on references that have been collected about the history of the development of the QFD method and the application of QFD in product design and development. Planning for process quality is a very important technique for managing the quality of the product during the product development process. Done to expand processes and adequate process capabilities aimed at producing products. Since Japanese academics and industry began 3 decades more than have passed to formalize QFD techniques in 1960 and 1970. Because of the effectiveness in quality management and product expend, QFD applications have been widely used.

The process of sending and loading finished goods is very important. According to some experts, transportation activities spend 44% of the total cost. Even in Indonesia transportation costs can reach more than 60%. In practice, one way of saving on transportation costs can be done by minimizing the waiting time for loading finished products in the warehouse. The slow delivery of information from the logistics department to the warehouse can cause high load times for finished products. This can lead to delays in product delivery to consumers. The method used in this paper is the Waterfall method. The Waterfall method provides a software flow approach in sequence or sequentially starting from analysis, design, implementation, verification, and maintenance phase.

Companies must continue to improve service quality in order to face increasingly fierce competition. The design developed by the company must be a design that prioritizes the needs and wants of consumers. The purpose of this literature study is to make an analysis and synthesis of existing knowledge related to the topic to be studied in order to find gaps for the research to be carried out. In product design and development, there are many methods that can be used, one of which is using the Kano model and the Quality Function Deployment method. The kano model is widely applied as a useful tool for understanding customer needs and analyzing the effect of meeting customer needs on customer satisfaction levels. Meanwhile, Deployment Quality Function is used to translate the needs and desires of consumers which are then developed to meet product and service design requirements. This paper explains the extent to which the two methods are applied, namely the Kano model and the Quality Function Deployment method by analyzing several relevant journals. The author hopes that this paper can be used as a future reference for researchers in product design.

With the development of technology and times, we have faced various alternative problems. The problem of making decisions is one of the problems that is often encountered in everyday life. In the matter of decision-making, there are several methods that can be used, one of which is Multi-Criteria Decision Making (MCDM). MCDM is a method to make decision based on theory, process and analytical methods that involved uncertainty, dynamics and various aspects of criteria. This journal will discuss the use of one of the MCDM methods, namely Fuzzy AHP-TOPSIS. Basically, AHP breaks down unstructured situations into its components and organize these components or variables in a hierarchical order and assign a scientific value as a subjective assessment of the proportionate significance of each variable. Fuzzy theory is used to represent ambiguity, inaccuracies, lack of information, and partial truth. Then the TOPSIS method uses the principle that the preferred alternative must have the farthest from the negative ideal solution and the shortest interval from the positive ideal solution to find the optimal solution from the available alternatives.

The rapid development of the times directly demands technology, culture and social development as well. The development of this era also gives us many problems that must be resolved. One of the problems that must be faced is the problem of making decisions. There are many methods for solving decision-making problems, one of which is Multiple-Criteria Decision Making (MCDM). MCDM is a decision-making method to determine the best alternative from a number of alternatives based on certain criteria. This journal will discuss one of the MCDM methods, namely Fuzzy AHP-TOPSIS. Basically, AHP breaks up a complex and unstructured situation into its component parts. Then arrange these parts or variables in a hierarchical arrangement and give numerical values to subjective considerations about the relative importance of each variable. The fuzzy set theory used to represent uncertainty, obscurity, inaccuracy, lack of information, and partial truth. In the VIKOR method, a ranking is performed on the weight that has been obtained in the FAHP method by comparing ratings from a series of alternatives. The VIKOR method calculate the ratio positive and negative ideal solution. The VIKOR method propose a compromise solution with profit rate. This method overcomes the drawbacks of other MCDM methods.