Journal articles: 'Product selection process'

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Bigony, Lorraine. "Decisions, decisions … the product selection process." OR Nurse 7, no. 1 (January 2013): 8–9. http://dx.doi.org/10.1097/01.orn.0000423145.92172.43.

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FUKUZAWA, Mitsuhiro. "A Generation-Selection Process of Product Architecture." Annals of Business Administrative Science 7 (2008): 1–18. http://dx.doi.org/10.7880/abas.7.1.

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Lenau, T. "Material and Process Selection Using Product Examples." Advanced Engineering Materials 4, no. 6 (June 5, 2002): 351–55. http://dx.doi.org/10.1002/1527-2648(20020605)4:6<351::aid-adem351>3.0.co;2-z.

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Murty, Akella S. R., and V. N. Achutha Naikan. "Machinery selection ‐ process capability and product reliability dependence." International Journal of Quality & Reliability Management 14, no. 4 (June 1997): 381–90. http://dx.doi.org/10.1108/02656719710170648.

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Chaimae, Abadi, Abadi Asmae, and Manssouri Imad. "An Integrated Product-Process Design Approach Considering Material Selection and Product Assembly." Journal of Advanced Manufacturing Systems 19, no. 04 (December 2020): 675–99. http://dx.doi.org/10.1142/s0219686720500389.

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Nowadays, industries face very strong challenges because of the high competitiveness between them. In fact, they are required to offer products with high quality and minimum cost in the minimum time. Since most of the characteristics and costs of the product and its manufacturing process are fixed in the design phase, this paper is focused on this strategic phase. Indeed, a new integrated product design approach is presented. It considers at the same time design requirements, materials characteristics, manufacturing parameters and the assembly process specifications. The developed approach is quantitative. Actually, the decision making is based on all its steps on objective and subjective indicators. To validate the integrated approach, a case study on the Schrader Robot is developed. This application allows to choose the most appropriate materials, manufacturing processes and assembly solution of its different components.

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McLaren, Jami. "Medical Device Sterilization Modality Selection Decision Process." Biomedical Instrumentation & Technology 54, s1 (June 1, 2020): 6–14. http://dx.doi.org/10.2345/0899-8205-54.s3.6.

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Abstract Selection of an appropriate sterilization modality requires an understanding of certain key aspects of the product under consideration. Primary aspects to be considered include understanding of the product's intended use and details of the product design. This article reviews these primary considerations for sterilization modality selection and demonstrates the sterilization modality selection process through several example case studies.

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Zhang, Wen Jin, and Nan Lan. "Research on the Comprehensive Reliability Assessment Process for Products." Advanced Materials Research 628 (December 2012): 372–79. http://dx.doi.org/10.4028/www.scientific.net/amr.628.372.

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For problems, such as evaluation model selection is not appropriate and accuracy of the assessed value is low, exist in the reliability assessment of mechanical and electrical product, we propose a comprehensive reliability assessment process for mechanical and electrical products. In this paper, we discuss methods of reliability data collection and collation first. Then, criteria of preliminary screening for failure data are established. Furthermore, considering that life cycle of product is characterized by varied environment and varied population, it gives the method and steps for reliability assessment of produces. In addition, the process is used in the reliability assessment of products, and the calculation result illustrates that the process can be successfully applied to engineering practice. The process proposed in this paper provides a technical means for model selection in reliability assessment of mechanical and electrical product, and serves as the theoretical guidance for reliability validation and reliability design of product.

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VINCENT, O. R., A. OWOADE, A. S. MAKINDE, and A. T. AKINWALE. "AN ONTOLOGY-BASED KNOWLEDGE REPRESENTATION USING ANALYTIC HIERARCHY PROCESS FOR ENHANCING SELECTION OF PRODUCT PREFERENCES." Journal of Natural Sciences Engineering and Technology 16, no. 1 (June 3, 2017): 1–18. http://dx.doi.org/10.51406/jnset.v16i1.1799.

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Product alternatives, which emerges from large number of websites during searching, accounts for some hesitation experienced by customers in selecting satisfying product. As a result, making useful decision with many trade-off considerations becomes a major cause of such problem. Several approaches have been employed for product selection such as, fuzzy logic, Neuro-fuzzy, and weighted least square. However, these could not solve the problem of inconsistency and irrelevant judgement that occur in decision making. In this study, Ontology-based Analytic Hierarchy Process (AHP) was used for enhancing selection of product preferences. The model involved three fundamental components: product gathering, selection and decision making. Ontology Web Language (OWL) was utilized to define ontology in expressing product information gathering in a standard and structured manner for the purpose of interoperability while AHP was employed in making optimal choices. The procedure accepts customers’ perspectives as inputs which are classified into criteria and sub-criteria. Owl was created to foster customers’ interaction and priority estimation tool for AHP in order to generate the consistency ratio of individual judgements. The model was benchmarked with Geometric Mean (GM), Eigenvector (EV), Normalized Column Sum (NCS) Weighted Least Square (WLS) and Fuzzy Preference Programming (FPP). First and second order total deviations and violation rate were the performance parameters evaluation with AHP. The results showed that the minimum and maximum units of products are 2,452and 3,574, respectively. These implied that the proposed model was consistent, relevant and reflected a non-violation of judgment in selection of product preferences.

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Dalpadulo, Enrico, Francesco Gherardini, Fabio Pini, and Francesco Leali. "Integration of Topology Optimisation and Design Variants Selection for Additive Manufacturing-Based Systematic Product Redesign." Applied Sciences 10, no. 21 (November 5, 2020): 7841. http://dx.doi.org/10.3390/app10217841.

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The development of additive manufacturing allows the transformation of technological processes and the redesign of products. Among the most used methods to support additive manufacturing, the design can be optimised through the integration of topology optimisation techniques, allowing for creating complex shapes. However, there are critical issues (i.e., definition of product and process parameters, selection of redesign variants, optimised designs interpretation, file exchange and data management, etc.) in identifying the most appropriate process and set-ups, as well as in selecting the best variant on a functional and morphological level. Therefore, to fully exploit the technological potentials and overcome the drawbacks, this paper proposes a systematic redesign approach based on additive manufacturing technologies that integrate topology optimisation and a tool for selecting design variants based on the optimisation of both product and process features. The method leads to the objective selection of the best redesigned configuration in accordance with the key performance indicators (KPIs) (i.e., functional and production requirements). As a case study, the redesign of a medical assistive device is proposed, previously developed in fused filament fabrication and now optimised for being 3D printed with selective laser melting.

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Nguyen, Von Dim, and Patrick Martin. "Product design-process selection-process planning integration based on modeling and simulation." International Journal of Advanced Manufacturing Technology 77, no. 1-4 (October 11, 2014): 187–201. http://dx.doi.org/10.1007/s00170-014-6446-7.

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Panchanathan, Karthik, Sarah Mathew, and Charles Perreault. "Explaining group-level traits requires distinguishing process from product." Behavioral and Brain Sciences 37, no. 3 (June 2014): 269–70. http://dx.doi.org/10.1017/s0140525x13002975.

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AbstractSmaldino is right to argue that we need a richer theory of group-level traits. He is wrong, however, in limiting group-level traits to units of cultural selection, which require explanations based on group selection. Traits are best understood when explanations focus on both process (i.e., selection) and product (i.e., adaptation). This approach can distinguish group-level traits that arise through within-group processes from those that arise through between-group processes.

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Wudhikarn, Ratapol, Nopasit Chakpitak, and Gilles Neubert. "An analytic network process approach for the election of green marketable products." Benchmarking: An International Journal 22, no. 6 (August 3, 2015): 994–1018. http://dx.doi.org/10.1108/bij-10-2012-0069.

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Purpose – In this study, an optimal green product is selected from three newly developed ecological products and a non-environmentally friendly product. An analytic network process (ANP), used widely for multi-criteria decision making (MCDM), is applied to account for the tradeoff issues among the criteria (quality, cost and green issue) in the new green product selection processes. The paper aims to discuss these issues. Design/methodology/approach – This paper focuses on current social and consumer requirements. New product selection processes consider three major perspectives, i.e., quality, cost and environment, as criteria. The following two main methods are applied to respond to this multi-disciplinary issue: the eight quality dimensions proposed by Garvin are used to manage the quality issue, and a life cycle costing (LCC) method is applied for consideration of the cost and green issue. Therefore, the dependency issue among the criteria is considered, using a suitably selected method, the ANP method, and all the methods are applied to a real business, which produces roof tiles, for the delivery of a new optimal green product. Findings – An optimal environmentally friendly product does not overcome the existing toxic product of the focused company. The environmental performance is necessarily balanced by the quality and cost capabilities. Research limitations/implications – This paper focuses on the new product selection of roof tile products. The criteria or measuring indicators may be dissimilar, and cannot be applied to other products. Practical implications – The proposed approach can be applied to other manufacturing companies or services to allow decision makers to make better determinations for a comprehensive dependency problem. The managers can apply the proposed model to benchmark the considered products as well as to find the weaknesses of products. Originality/value – This method considers the relationship among quality, cost and environment for newly developed green products. The method produces better results than former MCDM studies which did not account for the dependency issue among the criteria.

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Harwati and Intan Utami. "Quantitative analytical hierarchy process to marketing store location selection." MATEC Web of Conferences 154 (2018): 01075. http://dx.doi.org/10.1051/matecconf/201815401075.

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The selection of Store to market the product is belong to Multi Criteria Decision Making problem. The criteria used have conflict of interest with each other to produce an optimal location. This research uses four important criteria to select new location of marketing store appropriate with the references: distance to location, competition level with competitor, number of potential customer, and location rent cost. Quantitative data is used to determine the optimum location with AHP method. Quantitative data are preferred to avoid inconsistency when using expert opinion. The AHP result optimum location among three alternatives places.

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Wu, Chong, Zijiao Zhang, and Wei Zhong. "A Group Decision-Making Approach Based on DST and AHP for New Product Selection under Epistemic Uncertainty." Mathematical Problems in Engineering 2019 (June 19, 2019): 1–16. http://dx.doi.org/10.1155/2019/4635374.

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Selecting the most appropriate new product(s) is regarded as a critical decision which greatly influences the development of manufacturing enterprises. In order to improve the accuracy of selection, more experts are required to be invited to predict key indicators for new products selection. Due to limited knowledge, experts use fuzzy numbers more confidently than using numerical values in the prediction. Therefore, new product selection is a multiattribute group decision-making process under epistemic uncertainty. The purpose of this paper is to introduce a new hybrid decision-making approach based on Analytic Hierarchy Process (AHP) and Dempster-Shafer Theory (DST) to evaluate and select a new product. AHP and DST are used in weight determination to improve the accuracy and objectivity. In addition, this paper proposes that DST is a proper mathematical framework to deal with the epistemic uncertainty on the indicators of new product scheme selection. In particular, the initial assessments from experts are disassembled and then combined into the evidence information. By setting confidence degree, reliability function and likelihood function are used to evaluate and rank new products. A case study in a home appliance manufacturer is provided to illustrate the proposed hybrid approach and demonstrate its applicability.

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HAMADA, Yuri, Kenta FUKUDA, and Hiroko SHOJI. "Influence of Selection Process on its Result in Product Purchase." Transactions of Japan Society of Kansei Engineering 18, no. 1 (2019): 47–53. http://dx.doi.org/10.5057/jjske.tjske-d-18-00028.

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SEO, Y., and P. J. EGBELU. "Process plan selection based on product mix and production volume." International Journal of Production Research 34, no. 9 (September 1996): 2639–55. http://dx.doi.org/10.1080/00207549608905049.

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Stuart, Julie Ann, Jane C. Ammons, and Laura J. Turbini. "A Product and Process Selection Model with Multidisciplinary Environmental Considerations." Operations Research 47, no. 2 (April 1999): 221–34. http://dx.doi.org/10.1287/opre.47.2.221.

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Zaid, A. I. O. "Material Selection for Design, Manufacturing and Application." Key Engineering Materials 510-511 (May 2012): 386–93. http://dx.doi.org/10.4028/www.scientific.net/kem.510-511.386.

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Developing a new engineering material product or changing an existing one requires new design selecting material and choosing appropriate and economical manufacturing processes. These three main factors play a great role on the performance of the product in service. These items are independent and should not be performed in isolation from each other. With the great advancement of technology in the last decade and with the greater number of engineering materials which are now available, together with the increasing pressure to produce more economic and get reliable products an integrated approach which considers design, material selection and the appropriate manufacturing process makes it easier to achieve the optimum product that combines the functional requirements with the reliability at competitive cost. These diverse activities or items are interdependent; therefore should not be considered in isolation from each other, for example, it is not sufficient that design of the product should satisfy the technical, safety and legal requirements, it must also be possible to be manufactured economically and to be sold at a competitive price and easily disposed at the end of its working life cycle. In this paper, the interaction of these items together in order to arrive to the optimum solution for a particular application are given and discussed.

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Schneberger, Jan-Henrik, Jerome Kaspar, and Michael Vielhaber. "Integrated and Customer-Oriented Material and Process Selection by Sensory Multi-Criteria Decision-Making." Proceedings of the Design Society: International Conference on Engineering Design 1, no. 1 (July 2019): 1175–84. http://dx.doi.org/10.1017/dsi.2019.123.

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AbstractToday, product success more than ever depends on the satisfaction of consumer needs. Besides, manufacturers need to shorten development cycles and accelerate product release in order to stay competitive. This is achieved by applying customer-oriented methods allowing for fast and reliable acting. During the early phase of product development, requirements acquisition is crucial for later success of products, since specifications are most influenceable at this point. Referring to the decisive concept generation phase, material and production definition is difficult due to the highly complex interrelations between material properties, production process capabilities, and resulting product characteristics. Especially in the context of lightweight design, concurrent material and processing technology selection must be considered due to its various possible interfaces.Thus, this contribution outlines an integrated approach towards an enhanced material and process related, customer-oriented requirements acquisition during the early phase upstream of product detailing. Here, conventional multi-criteria decision-making and tactile recognition are employed in an agile transformation model.

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Zhu, Xu Ying, Kai Hu Hou, Cheng Chen, Fei Zhang, and Li Yin Cao. "Selection Algorithm of Developing New Products in Complex Environmental Constraints." Advanced Materials Research 1006-1007 (August 2014): 453–58. http://dx.doi.org/10.4028/www.scientific.net/amr.1006-1007.453.

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This paper focused on selecting and developing the optimal new products in the environment of complex constraints. Selection models of new products development plans in the complex environmental constraints have been established. The models were designed by designing five variables, defining the four basic model’s initialization and analyzing variable structures of models. Based on the model and the actual problems, the optimal selection algorithm models of new product development’s plan in the complex environmental constraints have been designed. First of all, new product’s evaluation was evaluated by using the environmental factors to calculate the weight of related factors in this environment. Secondly, the data’s table of algorithm and the iterative process were designed. Finally, the optimal new product by iterative algorithm was employed to prove the optimal solution of in the algorithm. The model and algorithm in the specific implementation process has good flexibility, high efficiency and optimality.

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JAIN, NEELESH K., and VIJAY K. JAIN. "PROCESS SELECTION METHODOLOGY FOR ADVANCED MACHINING PROCESSES." Journal of Advanced Manufacturing Systems 02, no. 01 (June 2003): 5–45. http://dx.doi.org/10.1142/s0219686703000204.

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Manufacture of a product in a desired shape and size with the desired characteristics and properties depends not only on the design of the product but also on the selection of an appropriate manufacturing process(es), which requires knowledge about the various alternatives available. This paper describes the process selection methodology for unconventional or advanced machining processes (AMPs), along with a preliminary selection strategy for basic type of manufacturing process. These two tasks along with parametric optimization form the core of an integrated and automated process planning system for an advanced machining environment. The process selection methodology for the AMPs is based on elimination and ranking strategy. To facilitate the process selection, AMPs have been reclassified or regrouped according to their material application capabilities, shape or manufacturing feature generating capabilities, operational capabilities, economic aspects, and environmental aspects. The described process selection methodologies for basic manufacturing process and AMPs, have been implemented in a software named as APSPOAMPS (Automated Process Selection and Parametric Optimization of AMPs). This paper also describes the proposed reclassifications of AMPs, implementation details of the developed software along with the two test examples.

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Stolze, Thomas, and Klaus Dietrich Kramer. "Supporting Development Processes: UBCS as a Software Tool for Hardware Selection." Advanced Materials Research 811 (September 2013): 592–97. http://dx.doi.org/10.4028/www.scientific.net/amr.811.592.

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Todays digitized world is shaped by various electronic devices. Quite everyone takes it for granted to live with all the helpers, comfort functions and all-day electronics. But like every other product, electronic components have to go through a development process, where as one of the very first stages some kind of hardware selection process takes place. Engineers have to decide which components to use so that the final product can be properly used. Especially when using processor controlled devices, the selection affects the whole product, since the processor must be suitable for the requirements by means of calculation power and peripheral support as well as future development through updates. Moreover, it also contributes to the products costs and time to market. Because there are thousands of devices on the market, engineers face a huge problem when having to make the correct decision. Therefore, the paper introduces a software tool called UBCS, the Universal Benchmark and Compare System, intended to support engineers when selecting appropriate processors for their device. It describes the structure and functionality of UBCS and gives hints to the reader how it makes the selection process more substantiated, easier and faster.

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Yin, Eden, and Nelson Phillips. "Understanding value creation in cultural industries: strategies for creating and managing meaning." Journal of Humanities and Applied Social Sciences 2, no. 3 (June 3, 2020): 165–80. http://dx.doi.org/10.1108/jhass-04-2020-0053.

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Purpose This paper aims to analyse the valuation of cultural products and explores what this process means for organizations involved in their production and marketing. Design/methodology/approach The authors develop the arguments using a number of mini-cases and industry examples. Findings The main thesis is that the meaningfulness and value ambiguity of cultural products shift the focus of valuation away from the products themselves towards how certain agents in the socio-cultural environment identify and certify these products. This paper discuss how valuation takes place via selection systems and how the nature of cultural products drives the dominance of one selection system over others. Research limitations/implications Theories on value creation needs to take consideration of the critical role played by the selection system instead of just the firms that produce these products. Practical implications Organizations engaged in producing highly symbolic products need to manage selection systems and related industry dynamics to establish an enduring competitive advantage. Social implications Value creation is a collective social efforts. Every member of the society can play a central role in this process. Better engaging various member of the society to enable them actively participate in the value creation process is what organizations today need to consider, instead of just treating individuals in the society as a “customer” who only passively consume. This research calls for the true empowerment of every member of the society to facilitate collective creativity and participation in the value creation endeavour that benefits the entire society as a whole. Originality/value It is the first paper that has created a conceptual link between the type of selection system and product categories. In other words, it takes existing literature on value creation and selection system one step further by creating the alignment or match between types of selection system and types of product categories. Therefore, it offers academics and practitioners a much detailed understanding on how value creation is conducted across different product categories.

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Lai, Rong Shen, Liang Hou, Hao Lun Wang, Yong Ming Wu, and Na Zhao. "A Method for Part Analysis and Selection in the Renewal Process of Product Family Architecture." Advanced Materials Research 468-471 (February 2012): 414–17. http://dx.doi.org/10.4028/www.scientific.net/amr.468-471.414.

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Aiming at selecting appropriate parts in the product family architecture for innovating, a method for part analysis and selection in the renewal process of product family architecture is initially proposed. On the basis of parts analysis from the three aspects of cost effectiveness-commonality, performance sensitivity and demand-matching degree, a coupling spatial model CSM is established. With the fuzzy c-means clustering method, the parts were clustered, and the choice domain and the improvement direction were pointed out. Finally, a case study of part analysis and selection in the working device product family of the wheel loader was presented to illustrate the validity of the method.

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Srinivasan, Sriram, Lakshmikanthan Srivatsan, Rajaram Sathyanarayan, and B. Vijaya Ramnath. "MCDM Model for Selection of Optimum Machining Process." Materials Science Forum 773-774 (November 2013): 348–54. http://dx.doi.org/10.4028/www.scientific.net/msf.773-774.348.

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The work of manufacturing engineers is to utilize the minimum amount of energy or resources in bringing out a product without compromising on quality. Hence, to achieve this, the engineers must figure out the optimum or the best possible method to fabricate a product. This paper uses a multi criteria decision making (MCDM) model namely Analytical Hierarchical Process (AHP) to determine the best possible machining process to achieve the optimum results for an engraving operation on gear face in an automobile industry which uses five nontraditional machining processes viz; Laser Beam Machining (LBM), Ultrasonic Machining (USM), Electric Discharge Machining (EDM), Electrochemical Machining (ECM) and Electron Beam Machining (EBM). The five criteria considered in this paper are Material Removal Rate (MRR), Surface Finish, Depth Damage, Tolerance and Toxicity. The AHP result shows that ECM is the most suitable machining process as compared to others.

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Лемешкин, A. Lemeshkin, Акамсина, N. Akamsina, Сербулов, and Yuriy Serbulov. "SELECTION OF OPTIMAL RUN ON SEMICONDUCTOR MANUFACTURING PROCESS STEPS." Modeling of systems and processes 7, no. 4 (February 24, 2015): 4–6. http://dx.doi.org/10.12737/7781.

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Makhitha, Khathutshelo Mercy. "Marketing Of Craft To Retailers: Understanding Their Buying Process, Supplier Selection Criteria And Information Sources Used." International Business & Economics Research Journal (IBER) 14, no. 6 (November 3, 2015): 791. http://dx.doi.org/10.19030/iber.v14i6.9486.

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The purpose of the study was to investigate the buying process, supplier selection criteria and information of craft retailers in South Africa (SA). The information collected about the buying process, supplier selection criteria and information sources used were to propose a marketing strategy for craft producers wanting to target retailers. Craft retailers play a dominant role in the craft industry value chain yet craft producers face difficulties selling to this market. Instead, they resort to selling directly to end consumers and not through craft retailers. An understanding of the retailer’s buying process, supplier selection criteria and information sources is a necessity for craft producers who want to sell their products successfully through the craft retailers. A survey was conducted among 233 craft retailers in SA. A convenience sampling method was adopted for the study. The findings revealed that craft retailers go through homogenous buying stages. Craft retailers go through a lengthy process when buying crafts. The most important supplier selection criteria are product quality, product is exciting and attractive, product styling and design and product distinctiveness/uniqueness. The information sources most often used are existing sales records, buyer’s experience and sales persons visiting with samples.

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Syabaniah, Rifa Nurafifah, Agung Wibowo, and Eva Marsusanti. "Penggunaan Alat Mewarnai Gambar Bagi Pemula Menggunakan Metode AHP dan Weight Product." Indonesian Journal of Computer Science 9, no. 1 (April 10, 2020): 32–43. http://dx.doi.org/10.33022/ijcs.v9i1.239.

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The process of selecting a drawing coloring tool in one of the Cianjur city painting studios takes a long time, because the child must first try each type of drawing coloring tool. based on this problem discussed about the selection of coloring tools for beginners by using the Analytic Hierarchy Process (AHP) and Product Weight (WP) methods. AHP test results obtained five criteria, namely comfort, convenience, safety, color quality and product quality of the ten recommended criteria based on observations and interviews. The five criteria are used as criteria for determining the selection of drawing tools for crayons, colored pencils, watercolors, markers, and oil pastels. the final result of the calculation of the Analytical Hierarchy Process (AHP) method shows that crayons are the most important alternative with a weight value of 0.20. while the test results of the Weighted Product (WP) method conclude that the brand code V4 is the crayon product brand chosen because the brand code V4 has the highest alternative value of the other ten products namely V4 = 0.118.

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Ulewicz, Robert. "Optimization of the Selection Process of Galvanic Coatings." Applied Mechanics and Materials 712 (January 2015): 87–92. http://dx.doi.org/10.4028/www.scientific.net/amm.712.87.

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Processes of electrolytic application of metals are used in order to obtain pure coatings, single - or multilayer. Appropriate selection and proper execution contribute to the improvement of product quality, which affects its proper and long functioning. Production costs are not necessarily high. They depend mainly on the proper selection of the coating. The article presents the results of the use of generalized objective function for selection of galvanic coating on metal parts. There were used following criteria in order to characterize the quality (usability): corrosion resistance, mechanical properties, physical properties, gloss, roughness, and economical criteria. Presented method of determining the objective function can be used to choose the optimal coatings for specific service conditions or customer requirements. Presented method of determining the objective function in the design process of the surface layer makes it possible to assess the impact of various factors on the quality of the product and thus gives a chance to make the right choice.

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Paćko, Marek, Janusz Krawczyk, Piotr Bała, Paweł Paćko, Tomasz Śleboda, Krzysztof Muszka, Marcin Hojny, et al. "T-Shape Connector Hydroforming Process Analysis." Key Engineering Materials 716 (October 2016): 994–1002. http://dx.doi.org/10.4028/www.scientific.net/kem.716.994.

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The work is focused on hydroforming of T-shape connector for high temperature applications. A seamless part for use in industrial applications was formed in a high pressure liquid extrusion process. Due to the occurrence of faults in the final products, numerical simulations were conducted to reveal the possible sources of such failures. The numerical simulation took into account precisely determined boundary conditions allowing proper selection of processing parameters. The microstructure of charge material as well as that of the final product was also examined. Numerical simulations of the investigated extrusion process showed the possibility of obtaining good quality product, however, the quality of final part is strongly influenced by properly designed heat treatment schedule.

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Tavcar, Joze, and Axel Nordin. "MULTI-CRITERIA ASSESSMENT AND PROCESS SELECTION MODEL FOR ADDITIVE MANUFACTURING IN THE CONCEPTUAL PHASE OF DESIGN." Proceedings of the Design Society 1 (July 27, 2021): 2197–206. http://dx.doi.org/10.1017/pds.2021.481.

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AbstractAdditive manufacturing (AM), which was first applied for rapid prototyping, is now becoming a real option for small-batch production of final products. Further expansion of AM is closely correlated to production costs. AM can only become competitive to traditional manufacturing methods if a product is designed for AM already from the beginning as it is an expensive technology that should only be applied if it adds enough value to the product. The aim of this paper is to increase cost awareness in the conceptual design phase and to support product developers in doing AM cost estimation and process selection. The proposed model integrates design for AM and costs calculation. The input data to the process is preliminary design and design requirements. The main contribution of this paper is the multi-criteria AM function, which enables concurrent consideration of different technical and economical criteria. The multi-criteria AM function helps to compare how AM processing and product design parameters influence the product cost. The holistic overview of different options increases the solution space and enables product optimization in several iterations.

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Li Yingzi, Zhang Shuo, Zhang Xiaodong, and Wang Aiping. "Agent-based Partner Selection and Simulation in Collaborative Product Development Process." INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences 4, no. 20 (November 30, 2012): 595–604. http://dx.doi.org/10.4156/aiss.vol4.issue20.71.

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Pagan, Rafael Perez, Carlos Eduardo Sanches da Silva, Lucas Catalani Gabriel, and Eduardo Gomes Salgado. "Electronic parts selection during the product development process in Brazilian companies." Product Management & Development 17, no. 1 (2019): 1–14. http://dx.doi.org/10.4322/pmd.2019.004.

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Ozer, Muammer. "Managers at Work: Managing the Selection Process for New Product Ideas." Research-Technology Management 47, no. 4 (July 2004): 10–11. http://dx.doi.org/10.1080/08956308.2004.11671635.

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Abdi, M. Reza. "Product family formation and selection for reconfigurability using analytical network process." International Journal of Production Research 50, no. 17 (September 2012): 4908–21. http://dx.doi.org/10.1080/00207543.2012.657976.

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Mabkhot, Mohammed M., Ali M. Al-Samhan, and Lotfi Hidri. "An Ontology-Enabled Case-Based Reasoning Decision Support System for Manufacturing Process Selection." Advances in Materials Science and Engineering 2019 (August 21, 2019): 1–18. http://dx.doi.org/10.1155/2019/2505183.

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In nowadays industry 4.0 and changeable manufacturing context, designers and manufacturing engineers struggle to determine appropriate quick, accurate (with flawless quality), and cost-effective processes to design highly customized products to meet customer requirements. To determine manufacturing processes, the matching between product features, material characteristics, and process capabilities needs to be optimized. Finding such an optimized matching is usually referred to as manufacturing process selection (MPS), which is not an easy task because of the infinite combinations of product features, numerous material characteristics, and various manufacturing processes. Although problems associated with MPS have received considerable attention, semantic web technologies are still underexplored and their potential is still uncovered. Almost no previous study has considered combining case-based reasoning (CBR) with ontologies, a famous and powerful semantic web enabler, to achieve MPS. In this study, we developed a decision support system (DSS) for MPS based on ontology-enabled CBR. By applying automatic reasoning and similarity retrieving on an industrial case study, we show that ontologies enable process selection by determining competitive matching between product features, material characteristics, and process capabilities and by endorsing effective case retrieval.

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Raza, Syed Asif. "Optimal decisions on fencing, pricing, and selection of process mean in imperfectly segmented markets." RAIRO - Operations Research 54, no. 6 (September 16, 2020): 1573–92. http://dx.doi.org/10.1051/ro/2019115.

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This paper integrates the selection of a process mean, production and marketing decisions at a firm’s level. We discussed a manufacturing firm’s problem that integrates its manufacturing decisions on production quantities and selection of a process mean with marketing decisions. The marketing decisions include setting prices, and the fencing investment to mitigate the effect of demand leakages between market segments. The manufacturing firm yields products of varied quality based on a single quality characteristic (e.g., amount of fill). The firm operates in a monopoly, and manufacturing process is assumed to follow a normal distribution, and therefore, it produces multi-grade (class) products distinct in their single quality characteristic. Depending upon the quality characteristic, a product with quality characteristic equal to greater than the upper specification limit is classified as grade 1 product, and sold in primary market at a full price. When the quality characteristic falls between the lower and the upper specification limits, it is referred to as a grade 2 product, and sold in a secondary market at a discounted price. Any product with a quality characteristic lower than the lower specification limit is reworked at an additional cost. A 100% error-free inspection is conducted to segregate the products at a negligible cost. Unlike many related studies in literature, this research proposes a novel integration of the pricing and production quantity decisions along with the process targeting in the two markets with pricing decision in the presence of demand leakages due to cross-elasticity. Furthermore, it is assumed that the firm can mitigate the demand leakage at an additional investment on improving fencing. Thus, the firm’s optimal decision would also include the pricing in each market segment, and fencing investment along with its decision on the production quantity for each product class. Mathematical models are developed to address this problem assuming the price-dependent stochastic demand. Structural properties of these models are explored and efficient heuristic solution methodologies are developed. Later, we also developed models when the stochastic demand information is only partially known, and proposed Harmony Search algorithm on the problem. Numerical experimentation is reported to highlight the importance of the proposed integrated framework and the impact of the problem related parameters on a firm’s profitability and its integrated optimal control decisions on selection of a process mean, pricing, production quantity, and fencing investment.

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KULVATUNYOU, BOONSERM, NENAD IVEZIC, RICHARD A. WYSK, and ALBERT JONES. "Integrated product and process data for business to business collaboration." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 17, no. 3 (August 2003): 253–70. http://dx.doi.org/10.1017/s0890060403173076.

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Collaborative development of engineered products in a business to business (B2B) environment requires more than the selection of components from an on-line catalogue. It involves the electronic exchange of product, process, and production engineering information during both design and manufacturing. Although the state of the practice does include a variety of ways to exchange product data electronically, it does not extend to the exchange of manufacturing process data. The reason is simple: process data are usually tied to specific manufacturing resources. These resources are not known typically at product development time. This paper proposes an approach called integrated product and process data, in which manufacturing process data are considered during product development. This approach replaces traditional process plans, which are resource specific, with a resource-independent process representation. Such a representation will allow a much wider collaboration among business partners and provide the necessary base for collaborative product development.

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Elahi, Farzana, Afia Muqtadir, Shahriyar Anam, and K. Mustafiz. "Pharmaceutical Product Selection: Application of AHP." International Journal of Business and Management 12, no. 8 (July 18, 2017): 193. http://dx.doi.org/10.5539/ijbm.v12n8p193.

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Pharmaceutical industry caters to the health care needs through manufacturing drugs that cure diseases. With retailers being one of the customers in this industry, it is imperative for any pharmaceutical companyto address the issues concerning their preferences for these drugs to remain competitive in business. This prompts us to investigate the factors that influence their decisions in selecting the pharmaceutical products. This paper aims to identify those factors and rank them through application of analytical hierarchy process (AHP) with the support of the Expert Choice Software version 11.0. In this regard, six factors are identified, namely, quality of products, availability of products, variety of products, delivery deadline, flexibility in quantity, and competitive price that affect the purchasing decision of the retailers. The result indicates that among the chosen six factors, quality of products is ranked first followed by variety of products, availability of products, flexibility in quantity, competitive price, and delivery deadline. Inconsistency level as generated by the synthesis of AHP is found to be 9% that falls below the threshold value of 10%, signifying to the acceptability of the result. The implications of the findings on the part of the pharmaceutical companies and suggestions for future research are also put forward.

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YAO, Z., H. D. BRADLEY, and P. G. MAROPOULOS. "An aggregate weld product model for the early design stages." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 12, no. 5 (November 1998): 447–61. http://dx.doi.org/10.1017/s0890060498125040.

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Existing product models do not adequately support the modelling of weld products during the early design stages. A newly developed aggregate product model for welding is introduced, which forms part of CAPABLE, a concurrent engineering toolkit for machining and welding. This product model supports the representation of the design at multiple levels of detail and allows the rapid modelling of alternative designs where solid model representation is inappropriate. The potential applications of the aggregate product model in weld product design, such as the integration of joint design and weldability assessment, are discussed using simple examples. The design of weld products must consider process-dependent properties including geometry, materials combinations, and weld joint characteristics to arrive at a near-optimal configuration. The object-oriented and feature-based model structure of CAPABLE enhances the design process by the automatic generation of compatible options and allows rapid design evaluation. The aggregate product model provides the input data necessary for tasks like process selection, optimization, process sequencing, fixture design and welding orientation selection. The main advantage of this product model over traditional CAD environments is that planning of the welding and fabrication operations can start during the conceptual and embodiment stages of the design process, thus ensuring the concurrency of design and planning tasks and resulting in product and process improvement and cost reduction.

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Juliap B., Rika, Saefudin Zuhdi, and Emmy Supariyani. "Membangun Brand Image Mahasiswa Atas Produk Shampo Pantene Melalui Pemilihan Selebrity Endorser Studi Kasus Anggun C Sasmi Sebagai Selebrity Endorser." Jurnal Ilmiah Manajemen Kesatuan 1, no. 2 (August 24, 2013): 187–94. http://dx.doi.org/10.37641/jimkes.v1i2.266.

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Celebrity endorser is one of marketing communication. The use of endorser is to lift more famous product’s brand. Generally use an endorser as a celebrity is to invite people to always remember the brand on their mind. So is needed a appropriate selection of celebrity endorser with the product to be brought. It is expected to affect the brand image of a product. The purpose of this study was to determine the effect of celebrity endorser selection of brand image. To find out is to find out how a good selection of celebrity endorser and appropriate so as to produce a positive brand image of a product. Research on the author is in STIE Kesatuan Bogor. By using quantitative descriptive method and causality. The result and discussion showed that Pantene celebrity endorser selectively chose the sight of the commitment of their endorser, her profession is evident in each of their carrier success. The selection process of Anggun C. Sasmi to endorse Pantene is need a quite long. This affects the Pantene’s brand image as a market leader in the position of hair science which gained several awards. Celebrity endorser selection of indicators source credibility, source attractiveness, meaning transfer, and celebrity product congruence. Source credibility of Anggun C. Sasmi was not much influence on brand image of Pantene shampoo. While a celebrity product congruence has a positive influence, dominant, significant. Value of r or the correlation coefficient between the celebrity endorser’s selection of celebrity endorsers (X) with the brand image (Y) of 0,663 means that the relation between these variables is strong. It means that if X then Y up one unit will respond by 66,3%. So, the celebrity endorser’s selection which have a right process will affect the brand image of Pantene shampoo products. Keywords: celebrity endorser, brand image, Shampoo

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Mastura, Mohd Taha, S. M. Sapuan, and Muhammad Noryani. "Material Selection of Natural Fibers for Composite Automotive Component Using Analytic Hierarchy Process/Analytic Network Process in Concurrent Engineering Approach." Key Engineering Materials 801 (May 2019): 53–58. http://dx.doi.org/10.4028/www.scientific.net/kem.801.53.

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Material selection of natural fiber for composite based products is an essential process in product design development especially in application of automotive components. Several factors need to be considered concurrently and dependency among the factors should be evaluated during the judgement. Therefore, a proposed approach is presented in this study by using Analytic Hierarchy Process/Analytic Network Process (AHP/ANP) to prioritize the criteria for material selection of natural fiber composites automotive components. AHP computes the priority values from pairwise comparison basis and ANP derives the global priority values based on the inner dependency of the criteria. As in a case study, flax fibers obtained the highest value (19%) and rank as number one fibers in the selection where tensile strength is the most significant criteria. Thus, application of AHP/ANP would derive a more reliable and accurate judgement in material selection and their flexibility allows integration with other decision making tools.

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POLANSKY, ALAN M. "SUPPLIER SELECTION BASED ON BOOTSTRAP CONFIDENCE REGIONS OF PROCESS CAPABILITY INDICES." International Journal of Reliability, Quality and Safety Engineering 10, no. 01 (March 2003): 1–14. http://dx.doi.org/10.1142/s0218539303000968.

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The supplier selection problem consists of selecting the best of several possible suppliers for a product. The selection criteria, in the absence of considerations such as cost, are based on a quality metric such as the capability of the supplier's manufacturing process. Because quality metrics are estimated based on sample process data, the inherent variability in the estimates must be accounted for when selecting the best supplier. In this paper we consider a methodology based on the bootstrap that assigns confidence levels to each of the suppliers. These confidence levels are designed to reflect the amount of confidence we have that the supplier actually has the best quality metric, conditional on the observed samples. The methodology is demonstrated using two examples.

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Liu, Wei, Zicheng Zhu, and Songhe Ye. "A decision-making methodology integrated in product design for additive manufacturing process selection." Rapid Prototyping Journal 26, no. 5 (February 28, 2020): 895–909. http://dx.doi.org/10.1108/rpj-06-2019-0174.

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Purpose The decision-making for additive manufacturing (AM) process selection is typically applied in the end of the product design stages based upon an already finished design. However, due to unique characteristics of AM processes, the part needs to be designed for the specific AM process. This requires potentially feasible AM techniques to be identified in early design stages. This paper aims to develop such a decision-making methodology that can seamlessly be integrated in the product design stages to facilitate AM process selection and assist product/part design. Design/methodology/approach The decision-making methodology consists of four elements, namely, initial screening, technical evaluation and selection of feasible AM processes, re-evaluation of the feasible process and production machine selection. Prior to the design phase, the methodology determines whether AM production is suitable based on the given design requirements. As the design progresses, a more accurate process selection in terms of technical and economic viability is performed using the analytic hierarchy process technique. Features that would cause potential manufacturability issues and increased production costs will be identified and modified. Finally, a production machine that is best suited for the finished product design is identified. Findings The methodology was found to be able to facilitate the design process by enabling designers to identify appropriate AM technique and production machine, which was demonstrated in the case study. Originality/value This study addresses the gap between the isolated product design and process selection stages by developing the decision-making methodology that can be integrated in product design stages.

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Lamaakchaoui, Chaimae, Abdellah Azmani, and Mustapha El Jarroudi. "The AHP Method for the Evaluation and Selection of Complementary Products." International Journal of Service Science, Management, Engineering, and Technology 9, no. 3 (July 2018): 106–15. http://dx.doi.org/10.4018/ijssmet.2018070107.

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This article describes how when having already purchased one product, it is likely that a consumer may look for complementary ones. That is why almost recommender systems integrate modules for managing complementarity between products and services. An Analytic Hierarchy Process (AHP) based model is described in the present paper, whose objective is to help recommend to customers among a set of complementary products the best ones. Selecting the best complementary products is done through an evaluation process of the alternatives according to a number of criteria.

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Amaranti, Reni, Agus N. Supena, and Agelin S. Ramadhani. "Design of Supplier Selection Procedure in Garment Company." Applied Mechanics and Materials 606 (August 2014): 241–45. http://dx.doi.org/10.4028/www.scientific.net/amm.606.241.

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The purchase of raw materials is very influential for the quality of products produced in addition to the process of making the product itself. Therefore, how to choose the supplier from the available alternatives is something that must be done properly in the process of procurement of raw materials especially for companies with many product variations and associated with many suppliers. This paper discusses about how to make supplier selection procedure for garment company with a case on a medium scale garment company in Bandung that manufactures veil and Moslem fashion. Mapping of business processes using IDEF0 was the first step in designing of supplier selection procedure. Then performed an analysis of the process which is usually done to identify the weaknesses and strengths of the process. The next step is create a design of supplier selection procedure that is more structured and measurable. In addition, also designed a tool that can be used in the supplier selection process, which is a simple application to determine the ranking of suppliers who will be selected based on the criteria specified. The application is based on the decision-making process with The Analytical Hierarchy Process approach that has been commonly used as a tool for decision-making with many alternative choices. In general, the resulting procedure would be beneficial for the company as a guide for those involved in the procurement process at the purchasing department, primarily for decision making in supplier selection.

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Shvetsova, Olga A., Sung Chul Park, and Jang Hee Lee. "Application of Quality Function Deployment for Product Design Concept Selection." Applied Sciences 11, no. 6 (March 17, 2021): 2681. http://dx.doi.org/10.3390/app11062681.

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For business-to-business (B2B) companies, selecting new product concepts is vital to new product development (NPD), since it significantly contributes to the ultimate success and reputation of the product in terms of quality and function. The research problem is defining the best solution of new product’s design concept selection within high competition and resources’ limitation by mathematical approaches. The main objective of this study is developing an integrated analytical approach, combining quality function deployment (QFD) and analytic hierarchy process (AHP) approach, and data envelopment analysis (DEA) to enhance the effectiveness of design product decisions. The proposed approach focuses on mathematical methods to comprehensively evaluate and strategically select the best new product concept while considering the features of the B2B product and the available information during concept selection. The best new concept is selected by the combined scores derived from the concept competitiveness (quality function deployment—analytic hierarchy process) and the design development efficiency (data envelopment analysis). Finally, the design alternatives are classified into four categories by quadrant analysis for design concept management. The benefit of this approach—combining three mathematical models together for the best concept’s solution.

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MUSTAJIB, M. IMRON, and DRADJAD IRIANTO. "AN INTEGRATED MODEL FOR PROCESS SELECTION AND QUALITY IMPROVEMENT IN MULTI-STAGE PROCESSES." Journal of Advanced Manufacturing Systems 09, no. 01 (June 2010): 31–48. http://dx.doi.org/10.1142/s0219686710001788.

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All production processes produce variance around the desired target value of quality characteristic. This variance affects the product quality level. Accordingly variance reduction needs to be done as the main goal of quality improvement programs. However effort to improve quality of each product unit must take into account to improvement costs. This paper proposes an optimization model for quality improvement in multi-stage processes using a non linear programming model by selecting alternatives process and determining unit of production of each stage to maximize profit as the difference between total income and total relevant cost. Total cost includes manufacturing cost, quality loss cost, rework and scrap cost, and quality improvement implementation cost. This optimization model is implemented in make-to-order manufacturer that produces crimper (a parts of joining plastic packages in packaging machine) which consist of five main stage manufacturing processes. Sensitivity analysis shows that the optimal solution is not sensitive if little changes occur in the constraints scenario. Thus, adding the value constraint on the quality specification, stage capacity, and quality improvement budget will not improve the objective function.

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THEETRANONT, CHUREE, PETER HADDAWY, and DONYAPRUETH KRAIRIT. "INTEGRATING VISUALIZATION AND MULTI-ATTRIBUTE UTILITY THEORY FOR ONLINE PRODUCT SELECTION." International Journal of Information Technology & Decision Making 06, no. 04 (December 2007): 723–50. http://dx.doi.org/10.1142/s0219622007002691.

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Effectively selling products online is a challenging task. Today's product domains often contain a dizzying variety of brands and models with highly complex sets of characteristics. This paper addresses the problem of supporting product search and selection in domains containing large numbers of alternatives with complex sets of features. A number of online shopping websites provide product choice assistance by making direct use of Multi-Attribute Utility Theory (MAUT). While the MAUT approach is appealing due to its solid theoretical foundations, there are several reasons that it does not fit well with people's decision making behavior. This paper presents an approach designed to better fit with people's natural decision making process. The system is called VMAP for Visualizing Multi-Attribute Preferences. VMAP provides on one screen both a multi-attribute preference tool (MAP-tool) and a product visualization tool (V-tool). The product visualization tool displays the set of available products, with each product displayed as a point in a 3D attribute space. By viewing the product space, users can gain an overview of the range of available products, as well as an understanding of the relationships between their attributes. The MAP-tool integrates expression of preferences and filter conditions, which are then immediately reflected in the V-tool display. In this way, the user can immediately see the consequences of his expressed preferences on the product space. The VMAP system is evaluated on a number of factors by comparing users' subjective ratings of the system to those of a more traditional MAUT product selection tool. The results show that while VMAP is somewhat more difficult to use than a traditional MAUT product selection tool, it provides better flexibility, provides the ability to more effectively explore the product domain, and produces more confidence in the selected product.

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Srinivasan, V., William S. Lovejoy, and David Beach. "Integrated Product Design for Marketability and Manufacturing." Journal of Marketing Research 34, no. 1 (February 1997): 154–63. http://dx.doi.org/10.1177/002224379703400113.

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Using as a point of departure previous work in marketing on optimal concept selection that utilizes product attribute-based customer preference and product cost models, the authors consider the concept selection stage of a new product development process. They offer empirical support for the need to push beyond these models to more complete “customer-ready” prototypes before choosing a concept to commercialize. Although the correlations between attribute-based predictions, on the one hand, and customer acceptance and product costs, on the other hand, are significant and substantial, too much variance is left unexplained to rely on these models in isolation. This implies that more detailed design work should be performed on several concepts in parallel. The authors also provide an integrated approach for concept generation and selection that leverages the unique strengths of marketing, design, and manufacturing in developing successful products.

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Journal articles on the topic 'Product selection process'

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