1,065 research outputs found

    Manufacturing Quality Function Deployment: Literature Review and Future Trends

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    A comprehensive review of the Quality Function Deployment (QFD) literature is made using extensive survey as a methodology. The most important results of the study are: (i) QFD modelling and applications are one-sided; prioritisation of technical attributes only maximise customer satisfaction without considering cost incurred (ii) we are still missing considerable knowledge about neural networks for predicting improvement measures in customer satisfaction (iii) further exploration of the subsequent phases (process planning and production planning) of QFD is needed (iv) more decision support systems are needed to automate QFD (v) feedbacks from customers are not accounted for in current studies

    Integrasi Quality Function Deployment (QFD) dan Conjoint Analysis untuk Mengetahui Preferensi Konsumen

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    The advantages of QFD is to translate customer need into a technical response. But QFD has some disadvantages related to the difficulties in distinguishing the difference of needs between consumers, difficulties to fulfill the needs of different consumer groups, and the exietence of conceptual gap between consumers and companies. The proposed method to overcome these disadvantages is conjoint analysis. The main advantage of conjoint analysis is the ability to get the optimal design combination for products or services based on consumers' preference. The result of conjoint analysis, estimation of perceived value, and integration of QFD can be used to know the preference market needs among consumers, identify the office desk, determine consumer segments and technical respons, and estimate the additional price of office desk attributes as an effort to the development of the office desk. In overall the best Office desk combination results based on consumers' preference of Office desk is the white color without additional drawers or supporting features, with table size is 120x60x75 cm and footstool. Segmentation based on preferences resulting in three clusters, namely size, color, and availability of drawer. The highest technical response to be the company's priority in meeting the needs of consumers is to make the proper hole connection. Based on the perceived value, the company is capable to predict that the additional prices of 1 drawer is Rp.1-Rp.500.000, the addition price of 2 drawers is Rp.800,000 - Rp.900.000, and the addition price of the foundation of the foot is Rp.50.000 - Rp.150.000, and the additional price of supporting features is Rp.150.000-Rp.250.000.Keywords: Quality Function Deployment (QFD), conjoint analysis, segmentation and perceived value.AbstrakKeunggulan QFD adalah menterjemahkan customer need menjadi respon teknis. Namun QFD mempunyai kekurangan terkait sulit membedakan antara beragam kebutuhan konsumen yang bertentangan, sulit memenuhi kebutuhan konsumen yang berbeda kelompok, dan kesenjangan konseptual antara konsumen dan perusahaan. Untuk melengkapi kekurangan QFD, diusulkan metode conjoint analysis. Keunggulan utama conjoint analysis mampu mendapatkan kombinasi desain yang optimal untuk produk yang melekat pada preferensi konsumen. Hasil integrasi QFD dan conjoint analysis serta estimasi perceived value dapat mengetahui preferensi konsumen meja kantor, mengidentifikasi segmen konsumen meja kantor, menentukan respon teknis, dan mengestimasi harga penambahan atribut meja kantor sebagai upaya pengembangan meja kantor. Secara keseluruhan hasil kombinasi meja kantor terbaik berdasarkan preferensi konsumen meja kantor adalah warna putih, tidak membutuhkan penambahan fitur laci, tidak membutuhkan penambahan fitur pendukung, ukuran meja 120x60x75 cm, dan terdapat tumpuan kaki. Berdasarkan segmentasi preferensi terbentuk tiga klaster, yaitu klaster warna, klaster ukuran, dan klaster ketersediaan laci. Secara keseluruhan respon teknis yang menjadi prioritas perusahaan untuk memenuhi kebutuhan konsumen adalah pembuatan lubang sambungan yang tepat. Berdasarkan hasil perceived value, perusahaan dapat memperkirakan harga penambahan 1 laci berkisar Rp.1 - Rp.500.000, penambahan 2 laci adalah Rp. 800.000 – Rp. 900.000, penambahan tumpuan kaki Rp. 50.000 – Rp. 150.000, dan penambahan fitur pendukung Rp. 150.000-Rp. 250.000.Kata kunci: Quality Function Deployment (QFD), conjoint analysis, segmentasi, dan perceived valu

    The marketing and R & D interface

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    "October 1991; revised February 1992."Includes bibliographical references (p. 43-50).Abbie Griffin, John R. Hauser

    Consideration of the relevance of standard quality techniques in Mass Customisation

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    The business philosophy of Mass Customisation (MC) implies rapid response to customer requests, high efficiency and limited cost overheads of customisation. Furthermore, it also implies the quality benefits of the mass production paradigm are guaranteed. However, traditional quality science in manufacturing is premised on volume production of uniform products rather than of differentiated products associated with MC. This creates quality challenges and raises questions over the suitability of standard quality engineering techniques. From an analysis of relevant MC and quality literature it is argued the aims of MC are aligned with contemporary thinking on quality and that quality concepts provide insights into MC. Quality issues are considered along three dimensions - product development, order fulfilment and customer interaction. The applicability and effectiveness of conventional quality engineering techniques are discussed and a framework is presented which identifies key issues with respect to quality for a spectrum of MC strategies

    Perceived Quality in the Automotive Industry

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    The supremacy of the automotive manufacturers in the modern world is no longer driven by them achieving a superior manufacturing quality but increasingly depends on the customer’s quality perception. The premium sector of the automotive industry is facing tough international competition. Studies within the automotive industry have identified that the perceived quality has become an important purchase decision factor. In practice, this means that the car manufacturers need to develop products that not only meet their customer’s expectations but also exceed them. It is necessary to close the gap between engineering and customer perceptions of the final product. Under such conditions, design process tasks are difficult in implementation because the evaluation of the perceived quality attributes is often subjective and intuitive rather than objective. The automotive industry demands methods and tools that allow the definition and validation of perceived quality related requirements.Developing methods for objective assessment of the perceived quality attributes is a task with a very high level of complexity. The vehicle itself is a very complex product. This fact leads to the information asymmetry because the actual quality of the product is not always visible to the customer. This thesis is a step towards closing the information asymmetry gap and bringing subjectively assessed perceived quality attributes to the objective side, supported by structured quantification methods. The author reviewed and structured product quality paradigms from the past, defined perceived quality attributes, described their properties regarding the premium automotive sector. The proposed comprehensive perceived quality framework is the major result of the thesis

    Perceived Quality of Cars. A Novel Framework and Evaluation Methodology.

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    The supremacy of the automotive manufacturers today is no longer driven by them achieving a superior manufacturing quality but increasingly depends on the customer’s quality perception. Average car consumers see a car’s quality as a fancy mixture of design, aesthetics, their own previous experiences and performance characteristics of the vehicle, unlike a combination of mechanical parts, software pieces, advanced materials, cutting-edge manufacturing processes, with technical knowledge, skills and high production volumes – all ingredients involved in the modern car creation. Perceived quality is one of the most critical aspects for product development that defines successful car design.Speaking of perceived quality, we are dealing with a complex, multifaceted adaptive system; a system where a human is the main agent. “Which product characteristics require the most attention for successful car design?”\ua0 This is the question engineers and designers need to answer under the pressure of shrinking product development time, available technologies, and financial limitations, not to mention that the answer is expected to be given in numbers to sustain the fierce competition in today’s automotive industry. For this reason, the perceived quality must be understood and controlled during all stages of product development. The research presented in this thesis justifies the engineering viewpoint on perceived quality as an inevitable part of new product development. The core of this research is the Perceived Quality Framework (PQF), a taxonomy structure of perceived quality attributes and the Perceived Quality Attributes Importance Ranking (PQAIR) method, a novel method for perceived quality evaluation that can be applied to a variety of products, including cars. The PQF communicates the attribute-centric engineering viewpoint on quality perception, developed through cumulative studies in the premium and luxury market segment of the automotive industry. The PQAIR method equips engineers with practical tools for perceived quality evaluation. The proposed method helps to reach the equilibrium of the product’s quality equation from the perspective of design effort, time, and costs estimations.Altogether this introduces a new paradigm of perceived quality as the inevitable element integrated into the process of engineering endeavor regarding product attributes that communicates quality to the customer

    모듈러 제품군 운영을 위한 다양성 관리 방법론

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    학위논문 (박사) -- 서울대학교 대학원 : 공과대학 산업공학과, 2021. 2. 홍유석.글로벌 제조업체들은 다양한 제품을 출시하기 위해 모듈러 디자인 전략을 제품개발에 적용해왔다. 모듈러 디자인 전략은 제품을 모듈 단위로 구분한 후, 여러 종류의 모듈을 조합하여 새로운 제품을 만드는 전략이다. 모듈러 디자인은 제조업체가 제품다양성을 달성할 수 있도록 하였지만, 제공하는 제품의 수가 무수히 많아지면서 제품다양성으로 인한 안 좋은 영향들이 설계 영역뿐만 아니라, 시장, 생산 영역에서 지속적으로 발생하고 있는 실정이다. 따라서, 본 논문에서는 제품다양성의 안 좋은 영향을 줄일 수 있도록 이를 체계적으로 개발하고 운영하는 다양성 관리(variety management) 방법론을 제안한다. 다양성 관리를 성공적으로 수행하기 위해서는 교차영역 관점과 변종 수준 관점의 접근이 필요하다. 교차영역 관점은 제품다양성이 영향을 미치는 시장, 설계, 생산 영역의 요소들의 연결관계를 정립하는 메커니즘을 제공하며, 변종 수준 관점은 일반적인 요소(elements) 수준에서 한 단계 내려가 다양성 관리에 실제 문제가 되는 각 요소들의 변종들(variants)을 체계적으로 관리할 수 있도록 한다. 이 두 가지 관점에서, 본 논문은 다양성 관리에서 중요하게 다루어야 할 세 가지 과제–예상치 못한 변종의 발생 방지, 설계 복잡성 감축, 시장 점유율과 복잡성 비용 사이의 균형 잡기–를 해결하기 위한 방법론을 제안한다. 첫 번째 주제에서는, 아키텍처 기반의 접근법을 활용한 변종 관리 아키텍처(VA, variation architecture)를 도입하여 예상치 못한 변종의 발생을 방지하고자 한다. 개발 아키텍처는 모듈러 제품군을 개발할 때 사용하는 일종의 참조 아키텍처로, 시장 속성, 설계 모듈, 생산 설비의 연결관계를 정의하는 교차영역 연결 메커니즘을 제공한다. 변종 관리 아키텍처에서는 일반 수준의 계획과 변종 수준의 계획을 함께 세울 수 있다. 일반 수준에서는 요소 간 연결관계의 종류를 정의하여 제품군의 다양성 수준을 결정하고, 변종 수준에서는 변종들 간의 조합 규칙을 설정하여 불필요한 변종의 발생을 최소화한다. 또한, 본 연구에서는 제조업체가 변종 관리 아키텍처를 활용할 수 있도록 아키텍처 구축 프레임워크를 제안한다. 사례 연구에서는 자동차 프론트섀시 제품군을 통해 제품 및 변종의 수를 상당히 줄일 수 있음을 보여 줌으로써 프레임워크의 실용성을 검증한다. 다음으로, 인터페이스 표준화 개념을 적용하여 변종들 간의 복잡한 관계로부터 발생하는 설계 복잡성을 줄이는 연구를 수행한다. 본 연구에서 제안하는 인터페이스 설계 방법론은 하나가 아닌 다수의 표준 인터페이스를 사용하도록 허용한다. 모듈 변종들을 연결하기 위해 다수의 인터페이스를 도입하면, 인터페이스의 수와 적용범위에 따라 모듈러 제품군의 전체 구조가 달라지고 설계 복잡성 또한 다양한 양상으로 발생한다. 이를 측정하기 위해, 본 연구에서는 인터페이스의 선택에 영향을 받는 두 가지 복잡성 지표를–인터페이스 표준화 복잡성과 통합 복잡성을–정의한다. 인터페이스 표준화 복잡성은 표준 인터페이스를 설계할 때, 모듈 변종 설계자 간의 조율에 필요한 맨아워(person-hour)를 계산하고, 통합 복잡성은 각각의 모듈 변종과 인터페이스를 통합된 제품으로 설계하는데 필요로 하는 노력의 양으로, 위상적 복잡성(topological complexity) 지표를 기반으로 측정한다. 본 연구에서는 두 가지 복잡성을 최소화하는 인터페이스 설계 대안을 찾기 위한 프레임워크를 제공한다. 사례 연구에서 이의 적용성을 보여주기 위해 프론트섀시 제품군에 맞는 최적의 인터페이스 수와 제품군 구조를 도출한다. 마지막 주제에서는, 시장 점유율과 복잡성 비용의 균형을 맞추는 최적 제품 종수를 찾기 위한 최적화 모델을 개발한다. 최적화 모델은 제품을 구성하는 모듈 변종을 기반으로 모델링되고, 제품 및 모듈 종수가 증가함에 따라 시장 점유율의 증가분이 줄어들고, 반대로 복잡성 비용의 증가분은 늘어나는 특성을 반영한다. 시장 점유율을 구하기 위해 네스티드 로짓 모델(nested logit model)을 기반으로 하는 수요 모델을 개발한다. 네스티드 로짓 모델에서는 동일 제품군 내 제품들의 유사성을 고려하여 시장 점유율의 증가분이 줄어드는 특성을 반영한다. 다음으로, 제로베이스 원가계산 접근법(zero-based costing approach)을 활용한 복잡성 비용 모델을 도입한다. 이 접근법에서는 제품 혹은 모듈의 종수가 한 단위씩 늘어날 때 발생하는 비용을 단계적으로 계산하는 방법을 사용한다. 마지막으로, 수요 모델과 복잡성 비용 모델을 합친 최적화 모델(optimization model)을 모델링하여 최적 제품 종수와 제품의 모듈 구성을 도출하는 연구를 수행한다. 사례 연구에서는 민감도 분석을 수행하여 각 상황별 최적해가 어떻게 달라지는 지 보여주어 연구에서 제안하는 모델들의 효과를 검증한다.Global manufacturing companies have been achieving product variety by implementing a modular design strategy in which product variants are created by combining, adding, or substituting modules. Providing a high variety of products, however, causes negative effects not only on design but also on market and production. Variety management that defines the right range of variants is one of the most critical issues for most of the manufacturing companies. This thesis aims to propose methodologies that enable companies to systematically reduce negative effects of variety. In order to achieve successful variety management, this study approaches the issue from two viewpoints: cross-domain and variant-level viewpoints. A cross-domain viewpoint supports establishing relationships between elements in market, design, and production domain that are affected by product variety, and a variant-level viewpoint enables to explicitly manage variants of elements that are the main source of negative effects. In these viewpoints, this thesis focuses on dealing with three important challenges in variety management: to prevent unexpected variants, to reduce design complexity, and to balance market share and complexity cost. In the first theme, an architecture-based approach named variation architecture is introduced to prevent unexpected variants. Variation architecture (VA) is defined as a reference architecture for a modular product family providing the scheme by which variants in market, design, and production domain are arranged by cross-domain mapping mechanisms. The VA consists of generic-level and variant-level plans. At the generic-level, mapping types between domain elements are determined, and at the variant-level, combination rules between variants are set to reduce unexpected variants. Then, a framework is proposed to increase the practicality of the VA so that its compositions are well defined. In the case study, the framework is applied to an automobile front chassis family. The result shows that the number of module variants is significantly reduced compared to the current number of variants in operation. Secondly, the concept of interface standardization is introduced to manage design complexity caused by complicated combinations between module variants. This theme proposes an interface design methodology that addresses multiple standard interfaces in a modular product family. A product family structure is changed by implementing multiple standard interfaces, generating design complexity. This study defines two complexities resulting from the introduction of multiple standard interfaces: standardization effort and integration effort. Standardization effort is estimated as a required person-hours for coordinating module variants to design a standard interface, and integration effort is measured as an effort to integrate all design elements based on the concept of topological complexity. A framework is proposed to identify an optimal product family structure that minimizes the two complexities. In the case study, the proposed framework identifies an optimal structure and the number of standard interfaces for the front chassis family. Then, the study conducts a sensitivity analysis to demonstrate the methodologys applicability in interface management. In the last theme, an optimization model is developed to identify an optimal product variety to balance market share and complexity cost. The model focuses on module variants, not just product variants, because a modular product family creates product variants by combining module variants. The model reflects the trends of concave increase in market share and convex increase in complexity cost as the number of variety increases. A demand model is developed by the nested logit model that shows the concavity of market share based on the similarity of product variants in the same family, and a complexity cost model is constructed by the zero-based costing approach that an incremental cost is estimated as a variant is added. Combining the models, an optimization model is formulated to find an optimal variety and configurations of product variants. The case study demonstrates the models effectiveness by analyzing optimal solutions in various situations.Abstract i Contents iv List of Tables viii List of Figures ix Chapter 1 Introduction 1 1.1 Variety Management 1 1.2 Variety Management Challenges 5 1.3 Research Proposal: How to Deal with the Challenges? 7 1.4 Structure of Thesis 10 Chapter 2 Literature Review 11 2.1 Variety Management Methodologies 11 2.1.1 Modular product family design 11 2.1.2 Product family architecture 13 2.1.3 Classification of the contributions 15 2.2 Modular Design and Complexity 17 2.2.1 Modular design 17 2.2.2 Interface design 19 2.2.3 Design complexity 20 2.3 Product Family Design and Variety 22 2.3.1 Product family design 22 2.3.2 Variety optimization 25 Chapter 3 Variation Architecture for Reducing the Generation of Unexpected Variants 29 3.1 Introduction 29 3.1.1 Generation of unexpected variants 29 3.1.2 Needs for a systematic approach 31 3.2 Variation Architecture (VA) 33 3.2.1 Generic-level planning 34 3.2.2 Variant-level planning 41 3.3 Framework for Planning Product Variety 46 3.4 Application 47 3.4.1 Case description 47 3.4.2 Construction of variation architecture (VA) 49 3.4.3 Result and discussion 53 3.5 Summary 57 Chapter 4 Variant-level Interface Design for Reducing Design Complexity 59 4.1 Introduction 59 4.2 Variant-level Interface Design 61 4.3 Interface Design Complexity 64 4.3.1 Standardization effort 66 4.3.2 Integration effort 71 4.4 Framework for Variant-level Interface Design 76 4.5 Case Study 79 4.5.1 Application of the framework 79 4.5.2 Analysis and discussion 84 4.6 Summary 88 Chapter 5 Optimizing Product Variety for Balancing Market Share and Complexity Cost 91 5.1 Introduction 91 5.2 Evidence of the impact of variety on market share 94 5.3 Planning of Product Configurations 96 5.3.1 Product family architecture 96 5.3.2 Product configuration 98 5.4 Variety Optimization Model 100 5.4.1 Demand model 100 5.4.2 Complexity cost model 104 5.4.3 Optimization model 108 5.5 Case Study 110 5.5.1 Case description 110 5.5.2 Data source 112 5.5.3 Optimization setting 113 5.5.4 Result 115 5.5.5 Discussion 118 5.6 Summary 122 Chapter 6 Conclusion 125 6.1 Summary of Contributions 125 6.2 Limitations and Future Research Directions 127 Bibliography 129 Appendix A Variant-level Plan of a Front Chassis Family 147 Appendix B Adjacency and Combination Matrices of a Front Chassis Family 151 국문초록 155Docto

    Servqual dan Conjoint Analysis Dalam House of Quality Untuk Layanan Ojek Online

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    One of the transportation services that need quality improvement is an online motorcycle taxis. Integration Servqual and conjoint analysis in QFD process can determine the attributes of consumer needs, and technical response as an effort to improve the service motorcycle taxi online. The result of attributes combination of motorcycle taxi online service as a whole according to customer requirement are the attention of motorcycle taxi online, information system (application), waiting for the time of arrival, completeness of attribute while driving, as well as security and safety guarantee. From the result of QFD, the overall technical response that needs to be done to reach customer needs is online facility to absorb customer feedback, longer service period, and improvement of communication procedure with customers. It is formed by two segments of the customers of motorcycle taxi online namely the segment of empathy and responsiveness

    A usage coverage based approach for assessing product family design

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    En adoptant un point de vue utilitariste du consommateur sur certains produits orientés service, nous avons d'abord contribué à la proposition d un modèle de contextes d usage que se doit de couvrir au mieux un produit. Le modèle conduit à une meilleure intégration des analyses de marketing et d ingénierie de la conception amenant à une optimisation d'un produit paramétré plus orientée vers les besoins du marché ou à un meilleur étagement d'une famille de produits. Nous proposons une série d'indices qui révèlent l'adéquation entre les usages couverts par un produit de dimensions données ou une famille de produits donnée avec un espace d'usages cible qu il s agit de couvrir dans sa totalité ou en partie mais d'une manière suffisamment dominante par rapport à la concurrence. En premier lieu, l'indice de couverture d usage (UCI) pour un produit unique est introduit par la cartographie du produit relativement à un ensemble d utilisateurs représentatifs définis par des usages attendus. Sur cette base, l'UCI pour une famille de produits est construite pour évaluer la composition de la famille et la redondance des produits qui la composent. Les avantages par rapport à la traditionnelle estimation de la demande en marketing sont de réduire la complexité de l'enquête et de l'analyse des données et de pouvoir estimer le niveau de compétitivité d une offre innovante sans nécessiter de retour d expérience du marché. Nous expérimentons nos propositions sur un problème de reconception d une famille de scies sauteuses. L'approche proposée permet d'évaluer l'adaptabilité, pour une famille de produits de tailles croissantes, à divers scénarios dans le contexte d'usage d'un marché cible. Les concepteurs peuvent s'appuyer sur les résultats pour éliminer les produits redondants au sein d'une famille. Des configurations de produits de tailles croissantes peuvent aussi être rapidement simulées et comparées de manière à aboutir à une famille minimale de produits idéalement étagée.Adopting a utilitarian viewpoint of consumers on some service-oriented goods, we have first contributed to the proposal of a usage contexts model that a product should cover at most. The model leads to a higher integration of design engineering and marketing analyses which results in a more market-oriented optimization of a parameterized product or a better sampling of a product family. We propose a series of usage coverage indices that reveal the adequacy of a dimensioned product or a given product family to a targeted usage space to cover in its whole or for a part but sufficiently in a dominant way compared to competing products. First, the Usage Coverage Index (UCI) for single product is introduced by mapping the given product with a set of representative users defined by expected usages. On that basis, the UCI for a product family is constructed to evaluate the composition and redundancy of the family. The advantage compared to traditional demand estimation in marketing research is to reduce the complexity of survey and data analysis and to assess the competitiveness level of an innovative service offer without needing any return of experience from the market. We experiment our proposals on a jigsaw product family redesign problem. The proposed analysis approach helps to evaluate the adaptability, for a given scale-based product family, to diverse usage context scenarios in a target market. Designers can rely on the results to filter out redundant products within a family. Scale-based configurations of the products can also be rapidly simulated and compared to find out an appropriate sampled series of products.CHATENAY MALABRY-Ecole centrale (920192301) / SudocSudocFranceF

    Service Capacity Design With an Integrated Market Utility-Based Method

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    [Excerpt] The purpose of this chapter is to present a model that integrates customer preferences and service design. In response to the need for interdisciplinary service management research, we present a framework that specifies the key elements of an integrated market utility-based model (MUM) and a method for determining optimal service designs based on customer needs and preferences. We also explore the relationships among revenue, capacity costs, and those service design attributes that have significant operational consequences. Our model builds on the topics we have described and integrates customer utility models that are commonly used in market research with capacity variables and their corresponding costs that are typical operations management issues. The proposed method is general and can be adapted for different types of service operations
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