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In product development, the identification of critical design requirements (DRs) is key to satisfying customer needs because it helps produce more successful products in a shorter time. Quality function deployment (QFD) is a tool used in product development to systematically determine the DRs so as to attain higher customer satisfaction. In the QFD process, the simultaneous optimisation of more than one conflicting objective is generally required. However, it is very difficult for decision makers to determine the goal value of each objective in imprecise and uncertain environments. In order to overcome this problem, the present study proposes a fuzzy mixed-integer goal programming model that determines a combination of optimal DR values. Different from the existing fuzzy goal programming models, the values of the DRs in the proposed model are taken as discrete. Finally, a new Decision Support System is developed. The new system integrates QFD and mathematical programming, enabling the design team to effectively compare product design alternatives and make product development easier and faster. The proposed methodology is illustrated using a real-world application in the Turkish white goods industry. 相似文献
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《Quality Engineering》2012,24(3):346-360
ABSTRACT Given design problems today, many organizations now implement Design for Six Sigma (DFSS) initiatives. One DFSS tool is quality function deployment (QFD), which is a design approach that proactively translates customers' needs into technical design requirements. The QFD methodology has been well documented in the literature, yet few researchers have investigated how this process may be used to solve multiresponse optimization problems. Here, we demonstrate a new approach that combines aspects of QFD within the traditional robust design methodology to address this issue. The methodology is demonstrated through an illustrated example, which is compared to the traditional robust design approach. 相似文献
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A problem in multiobjective programming is to determine all efficient solutions. As a first approach we present a basic algorithm where only one of the objective functions is minimized and the second objective function is taken as a restriction. In the next algorithm the maximum of both objective functions is minimized. In the third algorithm this minimax function is replaced by a continuous quadratic objective function. 相似文献
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Due to the combination of rapid influx of new technology, high pressure on time-to-market and increasing globalization, the number of products that have highly uncertain and dynamic specifications or customer requirements might significantly increase. In order to deal with these inherently volatile products or services, we need to adopt a more pro-active approach in order not to produce an unwanted product or service. Thus, based on the idea of the quality loss function and the zero-one goal programming, an intuitively simple mathematical model is developed to prioritize the quality characteristics (QCs) in the dynamic quality function deployment (QFD). It incorporates a pro-active approach towards providing products and services that meet the future voice of the customer (FVOC). The aim is to determine and prioritize only the ‘important’ QCs with a greater confidence in meeting the FVOC. It is particularly useful when the number of the potentially dominant QCs is very large so that, by using the prioritization, the size of the QFD can be effectively reduced. Some constraints, such as minimum customer satisfaction level and limitation on budget are also taken into consideration. A sensitivity analysis is suggested to give an insight to the QFD users in the change of parameters of the proposed model. 相似文献
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Hamid Shahriari Mehdi Janizade Haji Reza Eslamipoor 《Quality and Reliability Engineering International》2014,30(8):1285-1292
Enhancing the quality of the product has always been one considerable concern of production process management, and this subject gave way to implementing so many methods including robust design. In this paper, robust design utilizes response surface methodology (RSM) considering the mean and variance of the response variable regarding system design, parameter design, and tolerance design. In this paper, customer requirements and robust design are regarded simultaneously to achieve enriched quality. Subsequently, with a non‐linear programming, a novel method for integrating RSM and quality function deployment has been proposed to achieve robustness in design. The customer requirements are regarded in every stage of product development process meaning system design, parameter design and tolerance design. To validate the applicability of the proposed approach, it has been implemented in a real case of chemical industry. Research findings show that the proposed method is much better than other existing methods including MSE and dual response methods. According to this method, the resulted mean is better than MSE method, and more importantly, the variance of the process is approximately 14% and 10% lesser than dual response and MSE method. Copyright © 2013 John Wiley & Sons, Ltd. 相似文献
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Ying-Ming Wang 《国际生产研究杂志》2013,51(16):4414-4425
Quality function deployment (QFD) is a methodology to ensure that customer requirements (CRs) are deployed through product planning, part development, process planning and production planning. The first step to implement QFD is to identify CRs and assess their relative importance weights. This paper proposes a nonlinear programming (NLP) approach to assessing the relative importance weights of CRs, which allows customers to express their preferences on the relative importance weights of CRs in their preferred or familiar formats. The proposed NLP approach does not require any transformation of preference formats and thus can avoid information loss or information distortion. Its potential applications in assessing the relative importance weights of CRs in QFD are illustrated with a numerical example. 相似文献
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《Quality Engineering》2012,24(3):277-289
ABSTRACT In the globally competitive market, design engineers are continually challenged to improve product design, reduce costs, and increase customer satisfaction. It unsparingly compels them to strive hard to design high-quality products at competitive costs. The increasing challenge to satisfy multi-design criteria or goals at early design stages makes their task ever more complex. This article presents a modified multi-objective optimization approach that predominantly addresses quality loss issues while incorporating customer aspirations at the early design stages of the product development. The article classifies deviational variables as desirable and undesirable variables and advocates their use in defining the hybrid quality loss function (HQLF)-based objective function to seek tradeoffs among various quality characteristics together with quality loss issues. The proposed HQLF-based multi-objective optimization has been tested with a leaf spring example to demonstrate how the role of the desired as well as the undesired deviations can be sought to obtain an efficient solution. The HQLF-based objective function forces the model to minimize the undesirable deviation variables and maximize desirable deviation variables to track the efficient design points for control parameters. The benefit of the proposed approach has been demonstrated by comparing with existing goal programming methods. 相似文献
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本文给出了合理下料问题的两种一般表述形式；提出了线材合理下料问题的三个整数规划模型，这些模型是严谨的，没有漏洞和缺陷，并且很容易在此基础上修改或添加一些其他约束条件，便于在实际工程中进行应用。 相似文献
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Differential evolution (DE) is one of the most prominent new evolutionary algorithms for solving real-valued optimization problems. In this article, a discrete hybrid differential evolution algorithm is developed for solving global numerical optimization problems with discrete variables. Orthogonal crossover is combined with DE crossover to achieve crossover operation, and the simplified quadratic interpolation (SQI) method is employed to improve the algorithm's local search ability. A mixed truncation procedure is incorporated in the operations of DE mutation and SQI to ensure that the integer restriction is satisfied. Numerical experiments on 40 test problems including seventeen large-scale problems with up to 200 variables have demonstrated the applicability and efficiency of the proposed method. 相似文献
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A Disjunctive Model for Scheduling in a Manufacturing and Packing Facility with Intermediate Storage
The problem considered in this paper deals with the short term scheduling of a two stage continuous process with intermediate storage tanks. The major scheduling decisions in this problem are: a) the assignment of orders to various storage tanks; b) the sequence of orders in each unit; c) the timing of various operations in different stages. The problem is highly combinatorial in nature. The major challenge is to develop strong integer programming formulations and to devise efficient solution techniques. An initial model is presented in the form of a disjunctive program which is later transformed to a Mixed Integer Linear Programming (MILP) problem. A number of example problems are solved which highlight the limitations of this model as the number of orders increases. A heuristic based on partial preordering is considered which solves industrial sized problems very quickly. The objective function values for the heuristic solutions are within 7% of the optimal values. 相似文献
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The simple assembly line balancing problem (SALBP) has been extensively examined in the literature. Various mathematical programs have been developed to solve SALBP type-1 (minimising the number of workstations, m, for a given cycle time, ct) and SALBP type-2 (minimising ct given m). Usually, an initial pre-process is carried out to calculate the range of workstations to which a task i may be assigned, in order to reduce the number of variables of task–workstation assignment. This paper presents a more effective mathematical program than those released to date to solve SALBP-1 and SALBP-2. The key idea is to introduce additional constraints in the mathematical program, based on the fact that the range of workstations to which a task i may be assigned depends either on the upper bound on the number of workstations or on the upper bound on the cycle time (for SALBP-1 and SALBP-2, respectively). A computational experiment was carried out and the results reveal the superiority of the mathematical program proposed. 相似文献
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In this paper, the problem of minimising maximum completion time on a single batch processing machine is studied. A batch processing is performed on a machine which can simultaneously process several jobs as a batch. The processing time of a batch is determined by the longest processing time of jobs in the batch. The batch processing machine problem is encountered in many manufacturing systems such as burn-in operations in the semiconductor industry and heat treatment operations in the metalworking industries. Heuristics are developed by iterative decomposition of a mixed integer programming model, modified from the successive knapsack problem by Ghazvini and Dupont (1998, Minimising mean flow times criteria on a single batch processing machine with non-identical jobs sizes. International Journal of Production Economics 55: 273–280) and the waste of batch clustering algorithm by Chen, Du, and Huang (2011, Scheduling a batch processing machine with non-identical job sizes: a clustering perspective. International Journal of Production Research 49 (19): 5755–5778). Experimental results show that the suggested heuristics produce high-quality solutions comparable to those of previous heuristics in a reasonable computation time. 相似文献
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Stelian Brad 《国际生产研究杂志》2013,51(19):5343-5376
Quality Function Deployment (QFD) is a powerful tool for quality planning in product design. In the course of time, the QFD method has passed over several improvements and adaptations to meet specific requests of particular working environments. The current needs and challenges in developing radical innovative and life-cycle optimised products require a concurrent approach of product planning against a complex set of objective functions (e.g. quality, cost, assembly, manufacturing, environment, technology, service, disposal, etc.). An advanced form of QFD that integrates concepts of concurrent engineering for planning product development with respect to multi-objective functions is presented in this paper. This framework is called Concurrent Multifunction Deployment (CMFD). TRIZ method was initially exploited to determine the appropriate vectors of intervention in formulating the CMFD methodology. A systematic algorithm supports the CMFD deployment process. It takes into account results from the analysis, innovation and evaluation phases over the product design process, too, ensuring a superior integration of the planning activities within the product development process. 相似文献
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Rex K. Kincaid 《OR Spectrum》1995,17(2-3):149-158
The damper placement problem for large flexible space truss structures is to determine thep truss members of the structure to replace with active (or passive) dampers so that the modal damping ratio is as large as possible for all significant modes of vibration. Equivalently, given a strain energy matrix with rows indexed on the modes and columns indexed on the truss members we seek to find a set ofp columns such that the smallest row sum, over thep columns, is maximized. An extension of this model is formulated for the passive damper case. This formulation includes the frequency of maximum displacement as a decision variable for each passive damper. Each formulation can be written as a mixed 0/1 integer linear program. We compare the performance of tabu search and simulated annealing for the damper placement problem on a laboratory test article, the NASA Langley Controls-Structures Interaction Phase I Evolutionary Model (10 modes and 1507 truss members). Tabu search, coupled with the starting solution generated by rounding the solution to a linear programming relaxation, is shown to provide the highest quality solutions in the shortest amount of computing time.Research partially supported by an ASEE summer fellowship at NASA-LaRC and by a faculty research assignment award from The College of William and Mary 相似文献
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本文讨论了上层决策变量为整数变量、下层决策变量为连续变量的混合整数双层线性规划问题,利用其可行解均落在约束域边界上的性质,提出了一种求解混合整数双层线性规划全局最优解的算法,并举例说明了算法的执行过程。 相似文献
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Apostolos Stathakis Grégoire Danoy Pascal Bouvry El-Ghazali Talbi Gianluigi Morelli 《工程优选》2013,45(12):1709-1734
The satellite communications market is competitive and rapidly evolving. The payload, which is in charge of applying frequency conversion and amplification to the signals received from Earth before their retransmission, is made of various components. These include reconfigurable switches that permit the re-routing of signals based on market demand or because of some hardware failure. In order to meet modern requirements, the size and the complexity of current communication payloads are increasing significantly. Consequently, the optimal payload configuration, which was previously done manually by the engineers with the use of computerized schematics, is now becoming a difficult and time consuming task. Efficient optimization techniques are therefore required to find the optimal set(s) of switch positions to optimize some operational objective(s). In order to tackle this challenging problem for the satellite industry, this work proposes two Integer Linear Programming (ILP) models. The first one is single-objective and focuses on the minimization of the length of the longest channel path, while the second one is bi-objective and additionally aims at minimizing the number of switch changes in the payload switch matrix. Experiments are conducted on a large set of instances of realistic payload sizes using the CPLEX® solver and two well-known exact multi-objective algorithms. Numerical results demonstrate the efficiency and limitations of the ILP approach on this real-world problem. 相似文献
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一个改进的单抓钩周期性排序模型及其在自动化学处理线中的应用 总被引：1，自引：0，他引：1
计算机控制的抓钩广泛用于自动化学处理线的工件的运送。抓钩的排序直接影响系统的生产率,抓钩排序的目标是对运送进行排序以极大化生产率。当某工序处理时间非常长时,该工序成为瓶颈。为了去除该瓶颈,系统可以为该工序设计多个处理槽,这称为“多重处理槽”问题。本文提出一个改进的混合整数规划模型以求解有“多重处理槽”的单抓钩周期性排序问题的最优解。实例表明所提出的方法是有效的。 相似文献
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In this paper, a new class of structural design problems is defined. The problem is to design a structure that is safe, even after certain damage conditions are imposed. A generalized steepest descent algorithm is developed for solution of this class of problems. The algorithm is used to optimize a three member, a four member and a seventy-two member structure under stress, displacement, buckling, natural frequency, and design [vdot]ariable constraints and subjected to multiple loading conditions. 相似文献